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John Richard Hauser

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Toubia, Olivier & Hauser, John & Simester, Duncan, 2003. "Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis," Working papers 4285-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Greg Allenby & Geraldine Fennell & Joel Huber & Thomas Eagle & Tim Gilbride & Dan Horsky & Jaehwan Kim & Peter Lenk & Rich Johnson & Elie Ofek & Bryan Orme & Thomas Otter & Joan Walker, 2005. "Adjusting Choice Models to Better Predict Market Behavior," Marketing Letters, Springer, vol. 16(3), pages 197-208, December.
    2. Toubia, Olivier & Simester, Duncan & Hauser, John & Dahan, Ely, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Working papers 4279-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    4. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    5. Acosta, Lilibeth A. & Enano, Nelson H. & Magcale-Macandog, Damasa B. & Engay, Kathreena G. & Herrera, Maria Noriza Q. & Nicopior, Ozzy Boy S. & Sumilang, Mic Ivan V. & Eugenio, Jemimah Mae A. & Lucht,, 2013. "How sustainable is bioenergy production in the Philippines? A conjoint analysis of knowledge and opinions of people with different typologies," Applied Energy, Elsevier, vol. 102(C), pages 241-253.
    6. David Hensher & Sean Puckett & John Rose, 2007. "Extending stated choice analysis to recognise agent-specific attribute endogeneity in bilateral group negotiation and choice: a think piece," Transportation, Springer, vol. 34(6), pages 667-679, November.
    7. Vishva Danthurebandara & Jie Yu & Martina Vandebroek, 2011. "Sequential choice designs to estimate the heterogeneity distribution of willingness-to-pay," Quantitative Marketing and Economics (QME), Springer, vol. 9(4), pages 429-448, December.

  2. Toubia, Olivier & Simester, Duncan & Hauser, John & Dahan, Ely, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Working papers 4171-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Joel Steckel & Russell Winer & Randolph Bucklin & Benedict Dellaert & Xavier Drèze & Gerald Häubl & Sandy Jap & John Little & Tom Meyvis & Alan Montgomery & Arvind Rangaswamy, 2005. "Choice in Interactive Environments," Marketing Letters, Springer, vol. 16(3), pages 309-320, December.
    2. Danaf, Mazen & Guevara, C. Angelo & Ben-Akiva, Moshe, 2023. "A control-function correction for endogeneity in random coefficients models: The case of choice-based recommender systems," Journal of choice modelling, Elsevier, vol. 46(C).
    3. Rod Mccoll & Yann Truong & Antonella La Rocca, 2019. "Service guarantees as a base for positioning in B2B," Post-Print hal-02326105, HAL.
    4. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    5. Xinfang (Jocelyn) Wang & Jeffrey D. Camm & David J. Curry, 2009. "A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem," Management Science, INFORMS, vol. 55(10), pages 1718-1728, October.
    6. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    7. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part I. Integrative synthesis of empirical evidence and conceptualisation of external validity," Papers 2102.02940, arXiv.org.
    8. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    9. Murray, Kyle B. & Häubl, Gerald, 2009. "Personalization without Interrogation: Towards more Effective Interactions between Consumers and Feature-Based Recommendation Agents," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 138-146.
    10. Yupeng Chen & Raghuram Iyengar & Garud Iyengar, 2017. "Modeling Multimodal Continuous Heterogeneity in Conjoint Analysis—A Sparse Learning Approach," Marketing Science, INFORMS, vol. 36(1), pages 140-156, January.
    11. Nikhil Bhat & Vivek F. Farias & Ciamac C. Moallemi & Deeksha Sinha, 2020. "Near-Optimal A-B Testing," Management Science, INFORMS, vol. 66(10), pages 4477-4495, October.
    12. Dimitris Bertsimas & Velibor V. Mišić, 2017. "Robust Product Line Design," Operations Research, INFORMS, vol. 65(1), pages 19-37, February.
    13. Dong, Songting & Ding, Min & Huber, Joel, 2010. "A simple mechanism to incentive-align conjoint experiments," International Journal of Research in Marketing, Elsevier, vol. 27(1), pages 25-32.
    14. Arinze Christian Nwoba & Nathaniel Boso & Matthew J. Robson, 2021. "Corporate sustainability strategies in institutional adversity: Antecedent, outcome, and contingency effects," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 787-807, February.
    15. Fay, Scott & Mitra, Deb & Wang, Qiong, 2009. "Ask or infer? Strategic implications of alternative learning approaches in customization," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 136-152.
    16. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    17. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    18. Pantourakis, Michail & Tsafarakis, Stelios & Zervoudakis, Konstantinos & Altsitsiadis, Efthymios & Andronikidis, Andreas & Ntamadaki, Vasiliki, 2022. "Clonal selection algorithms for optimal product line design: A comparative study," European Journal of Operational Research, Elsevier, vol. 298(2), pages 585-595.
    19. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    20. Olivier Toubia & John Hauser & Rosanna Garcia, 2007. "Probabilistic Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis: Theory and Application," Marketing Science, INFORMS, vol. 26(5), pages 596-610, 09-10.
    21. Dimitris Bertsimas & Allison O'Hair, 2013. "Learning Preferences Under Noise and Loss Aversion: An Optimization Approach," Operations Research, INFORMS, vol. 61(5), pages 1190-1199, October.
    22. Steven M. Shugan, 2004. "Endogeneity in Marketing Decision Models," Marketing Science, INFORMS, vol. 23(1), pages 1-3.
    23. Jimmy Q. Li & Paat Rusmevichientong & Duncan Simester & John N. Tsitsiklis & Spyros I. Zoumpoulis, 2015. "The Value of Field Experiments," Management Science, INFORMS, vol. 61(7), pages 1722-1740, July.
    24. Martijn G. de Jong & Jan-Benedict E. M. Steenkamp & Bernard P. Veldkamp, 2009. "A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales," Marketing Science, INFORMS, vol. 28(4), pages 674-689, 07-08.
    25. Jong Seok Kim, 2017. "Empirical Analysis Of Consumer Willingness To Pay For Smart Phone Attributes In Multi-Countries," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-37, February.
    26. Arnaud De Bruyn & John C. Liechty & Eelko K. R. E. Huizingh & Gary L. Lilien, 2008. "Offering Online Recommendations with Minimum Customer Input Through Conjoint-Based Decision Aids," Marketing Science, INFORMS, vol. 27(3), pages 443-460, 05-06.
    27. Alexandre Belloni & Robert Freund & Matthew Selove & Duncan Simester, 2008. "Optimizing Product Line Designs: Efficient Methods and Comparisons," Management Science, INFORMS, vol. 54(9), pages 1544-1552, September.
    28. Mingyu Joo & Michael L. Thompson & Greg M. Allenby6, 2019. "Optimal Product Design by Sequential Experiments in High Dimensions," Management Science, INFORMS, vol. 65(7), pages 3235-3254, July.
    29. John R. Hauser & Olivier Toubia, 2005. "The Impact of Utility Balance and Endogeneity in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(3), pages 498-507, August.
    30. Olivier Toubia & John R. Hauser, 2007. "—On Managerially Efficient Experimental Designs," Marketing Science, INFORMS, vol. 26(6), pages 851-858, 11-12.
    31. Steven M. Shugan, 2003. "Editorial: Journal Rankings: Save the Outlets for Your Research," Marketing Science, INFORMS, vol. 22(4), pages 437-441.
    32. Ghaderi, Mohammad & Kadziński, Miłosz, 2021. "Incorporating uncovered structural patterns in value functions construction," Omega, Elsevier, vol. 99(C).
    33. Maxime C. Cohen & Ilan Lobel & Renato Paes Leme, 2020. "Feature-Based Dynamic Pricing," Management Science, INFORMS, vol. 66(11), pages 4921-4943, November.
    34. Hema Yoganarasimhan & Ebrahim Barzegary & Abhishek Pani, 2020. "Design and Evaluation of Personalized Free Trials," Papers 2006.13420, arXiv.org.
    35. Tsafarakis, Stelios & Zervoudakis, Konstantinos & Andronikidis, Andreas & Altsitsiadis, Efthymios, 2020. "Fuzzy self-tuning differential evolution for optimal product line design," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1161-1169.
    36. Eggers, Felix & Sattler, Henrik, 2009. "Hybrid individualized two-level choice-based conjoint (HIT-CBC): A new method for measuring preference structures with many attribute levels," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 108-118.
    37. Daniel McFadden, 2014. "The new science of pleasure: consumer choice behavior and the measurement of well-being," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 2, pages 7-48, Edward Elgar Publishing.
    38. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
    39. Theodoros Evgeniou & Constantinos Boussios & Giorgos Zacharia, 2005. "Generalized Robust Conjoint Estimation," Marketing Science, INFORMS, vol. 24(3), pages 415-429, May.
    40. Theodoros Evgeniou & Massimiliano Pontil & Olivier Toubia, 2007. "A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation," Marketing Science, INFORMS, vol. 26(6), pages 805-818, 11-12.
    41. Robert Dunlea & Leslie Lenert, 2015. "Understanding Patients’ Preferences for Referrals to Specialists for an Asymptomatic Condition," Medical Decision Making, , vol. 35(6), pages 691-702, August.
    42. Michael Yee & Ely Dahan & John R. Hauser & James Orlin, 2007. "Greedoid-Based Noncompensatory Inference," Marketing Science, INFORMS, vol. 26(4), pages 532-549, 07-08.
    43. Olivier Toubia & Eric Johnson & Theodoros Evgeniou & Philippe Delquié, 2013. "Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters," Management Science, INFORMS, vol. 59(3), pages 613-640, June.
    44. Joffre Swait & Rick L. Andrews, 2003. "Enriching Scanner Panel Models with Choice Experiments," Marketing Science, INFORMS, vol. 22(4), pages 442-460, September.
    45. Tan Wang & Genaro Gutierrez, 2022. "Robust Product Line Design by Protecting the Downside While Minding the Upside," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 194-217, January.
    46. Dominique Olié Lauga & Elie Ofek, 2009. "Market Research and Innovation Strategy in a Duopoly," Marketing Science, INFORMS, vol. 28(2), pages 373-396, 03-04.
    47. Rajeev Kohli & Khaled Boughanmi & Vikram Kohli, 2019. "Randomized Algorithms for Lexicographic Inference," Operations Research, INFORMS, vol. 67(2), pages 357-375, March.
    48. Dimitris Bertsimas & Velibor V. Mišić, 2017. "Robust Product Line Design," Operations Research, INFORMS, vol. 65(1), pages 19-37, February.
    49. Dimitris Bertsimas & Velibor V. Mišić, 2019. "Exact First-Choice Product Line Optimization," Operations Research, INFORMS, vol. 67(3), pages 651-670, May.
    50. Díaz, Verónica & Montoya, Ricardo & Maldonado, Sebastián, 2023. "Preference estimation under bounded rationality: Identification of attribute non-attendance in stated-choice data using a support vector machines approach," European Journal of Operational Research, Elsevier, vol. 304(2), pages 797-812.
    51. Steven M. Shugan, 2004. "The Impact of Advancing Technology on Marketing and Academic Research," Marketing Science, INFORMS, vol. 23(4), pages 469-475.
    52. John C. Liechty & Duncan K. H. Fong & Wayne S. DeSarbo, 2005. "Dynamic Models Incorporating Individual Heterogeneity: Utility Evolution in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(2), pages 285-293, November.
    53. Halme, Merja & Kallio, Markku, 2011. "Estimation methods for choice-based conjoint analysis of consumer preferences," European Journal of Operational Research, Elsevier, vol. 214(1), pages 160-167, October.
    54. Furrer, Olivier & Sudharshan, Devanathan & Tsiotsou, Rodoula H. & Liu, Ben S., 2016. "A framework for innovative service design," FSES Working Papers 476, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    55. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    56. Decker, Reinhold & Trusov, Michael, 2010. "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 293-307.
    57. Orbach Yair & Fruchter Gila E., 2010. "A Utility-Based Diffusion Model Applied to the Digital Camera Case," Review of Marketing Science, De Gruyter, vol. 8(1), pages 1-28, June.
    58. Jeffrey D. Camm & James J. Cochran & David J. Curry & Sriram Kannan, 2006. "Conjoint Optimization: An Exact Branch-and-Bound Algorithm for the Share-of-Choice Problem," Management Science, INFORMS, vol. 52(3), pages 435-447, March.
    59. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.
    60. Min Ding & Young-Hoon Park & Eric T. Bradlow, 2009. "Barter Markets for Conjoint Analysis," Management Science, INFORMS, vol. 55(6), pages 1003-1017, June.
    61. Anocha Aribarg & Neeraj Arora & Moon Young Kang, 2010. "Predicting Joint Choice Using Individual Data," Marketing Science, INFORMS, vol. 29(1), pages 139-157, 01-02.

  3. Hauser, John R. & Katz, Gerald M. & International Center for Research on the Management of Technology., 1998. "Metrics : you are what you measure!," Working papers 172-98, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Attilio Bruni, 2013. "Le metriche di marketing nel turismo. un?indagine esplorativa sui comportamenti manageriali delle imprese turistiche profit oriented," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2013(2), pages 105-129.
    2. Kaveh Asiaei & Nick Bontis & Omid Barani & Ruzita Jusoh, 2021. "Corporate social responsibility and sustainability performance measurement systems: implications for organizational performance," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 32(1), pages 85-126, March.
    3. Moses Nyakuwanika & Huibrecht Margaretha van der Poll & John Andrew van der Poll, 2021. "A Conceptual Framework for Greener Goldmining through Environmental Management Accounting Practices (EMAPs): The Case of Zimbabwe," Sustainability, MDPI, vol. 13(18), pages 1-26, September.
    4. Neil A. Morgan & Lopo Leotte Rego, 2006. "The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Business Performance," Marketing Science, INFORMS, vol. 25(5), pages 426-439, September.
    5. Henner Gimpel & Dominikus Kleindienst & Daniela Waldmann, 2018. "The disclosure of private data: measuring the privacy paradox in digital services," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(4), pages 475-490, November.
    6. Alina Almã?an & Cristina Circa & Mãdãlina Dumitru & Raluca Gina Gu?e & Drago? Marian Mangiuc, 2019. "Effects of Integrated Reporting on Corporate Disclosure Practices regarding the Capitals and Performance," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 21(52), pages 572-572, August.
    7. VAN CAMP, Jelle & BRAET, Johan, 2013. "Proposing a taxonomy for performance measurement systems' failures," Working Papers 2013004, University of Antwerp, Faculty of Business and Economics.
    8. Giorgia Nigri & Mara Del Baldo, 2018. "Sustainability Reporting and Performance Measurement Systems: How do Small- and Medium-Sized Benefit Corporations Manage Integration?," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    9. Jan Mattsson & Helge Helmersson & Katarina Stetler, 2016. "Motivation Fatigue As A Threat To Innovation: Bypassing The Productivity Dilemma In R&D By Cyclic Production," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-23, February.
    10. Brooks, Mary R., 2006. "Chapter 25 Issues in Measuring Port Devolution Program Performance: A Managerial Perspective," Research in Transportation Economics, Elsevier, vol. 17(1), pages 599-629, January.
    11. Cedergren, Stefan & Wall, Anders & Norström, Christer, 2010. "Evaluation of performance in a product development context," Business Horizons, Elsevier, vol. 53(4), pages 359-369, July.
    12. Bielecki, Andre & Albers, Sönke & Mantrala, Murali, 2012. "Salesperson Efficiency Benchmarking Using Sales Response Data: Who is Working Hard and Working Smart?," EconStor Preprints 57427, ZBW - Leibniz Information Centre for Economics.
    13. Berg, Pekka & Leinonen, Mikko & Leivo, Virpi & Pihlajamaa, Jussi, 2002. "Assessment of quality and maturity level of R&D," International Journal of Production Economics, Elsevier, vol. 78(1), pages 29-35, July.

  4. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1997. "Side payments in marketing," Working papers 161-97. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Shubhranshu Singh, 2017. "Competition in Corruptible Markets," Marketing Science, INFORMS, vol. 36(3), pages 361-381, May.
    2. Yuetao Gao & Yue Wu, 2023. "Regulating Probabilistic Selling of Counterfeits," Management Science, INFORMS, vol. 69(8), pages 4498-4517, August.
    3. Duncan Simester & Juanjuan Zhang, 2010. "Why Are Bad Products So Hard to Kill?," Management Science, INFORMS, vol. 56(7), pages 1161-1179, July.
    4. Matthias Kräkel & Anja Schöttner, 2020. "Delegating Pricing Authority to Sales Agents: The Impact of Kickbacks," Management Science, INFORMS, vol. 66(6), pages 2686-2705, June.
    5. Wernerfelt, Birger. & Simester, Duncan I. & Hauser, John R., 1997. "Influence transfers, performance, and performance ratings," Working papers 160-97. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. Leigh McAlister, 2007. "—Cross-Brand Pass-Through: Fact or Artifact?," Marketing Science, INFORMS, vol. 26(6), pages 876-898, 11-12.

  5. Hauser, John R. & Zettelmeyer, Florian., 1996. "Metrics to evaluate R,D&E," Working papers 156-96. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Hauser, John R. & Zettelmeyer, Florian., 1996. "Evaluating and managing the tiers of R&D," Working papers #145-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Iain Cockburn & Rebecca Henderson & Scott Stern, 1999. "Balancing Incentives: The Tension Between Basic and Applied Research," NBER Working Papers 6882, National Bureau of Economic Research, Inc.
    3. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1995. "Internal customers and internal suppliers," Working papers 3759-95. WP (Internationa, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Ely Dahan & Haim Mendelson, 2001. "An Extreme-Value Model of Concept Testing," Management Science, INFORMS, vol. 47(1), pages 102-116, January.

  6. Hauser, John R. & Zettelmeyer, Florian., 1996. "Evaluating and managing the tiers of R&D," Working papers #145-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Jap, Sandy D., 1998. "'Pie-division' in interorganizational collaboration," Working papers 178-98. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Hauser, John R., 1996. "The role of mathematical models in the study of product development," Working papers #148-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Hauser, John R. & Zettelmeyer, Florian., 1996. "Metrics to evaluate R,D&E," Working papers 156-96. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.

  7. Simester, Duncan I. & Wernerfelt, Birger. & Hauser, John R., 1995. "Overcoming collusion : using a supervisor to costlessly resolve moral hazard," Working papers #117-95. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1995. "Internal customers and internal suppliers," Working papers 3759-95. WP (Internationa, Massachusetts Institute of Technology (MIT), Sloan School of Management.

  8. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1995. "Internal customers and internal suppliers," Working papers 3759-95. WP (Internationa, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Hauser, John R., 1996. "Gainsharing issues in marketing," Working papers #142-96. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1997. "Side Payments in Marketing," Marketing Science, INFORMS, vol. 16(3), pages 246-255.
      • Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1997. "Side payments in marketing," Working papers 161-97. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.

  9. Urban, Glen L. & Weinberg, Bruce D. & Hauser, John R., 1994. "Premarket forecasting of really new products," Working papers 3689-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Claudio Giachetti & Gianluca Marchi & Riccardo Corradini, 2012. "UsersÕ ability to anticipate incremental and radical innovation in online communities: The role of product knowledge and willingness to participate in the community life," Working Papers 15, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.
    2. Mennecke, Brian E. & Townsend, Anthony M. & Hayes, Dermot J. & Lonergan, Steven M., 2007. "A study of the factors that influence consumer attitudes toward beef products using the conjoint market analysis tool," ISU General Staff Papers 200710010700001003, Iowa State University, Department of Economics.
    3. Urban, Glen L. & Sultan, Fareena. & Qualls, William J. 1953-, 1998. "Trust based marketing on the internet," Working papers WP 4035-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Christina Guenther, 2009. "Pioneer burnout: Radical product innovation and firm capabilities," Papers on Economics and Evolution 2009-22, Philipps University Marburg, Department of Geography.
    5. Lettl, Christopher & Herstatt, Cornelius, 2004. "Users as inventors and developers of radical innovation: An explorative case study analysis in the field of medical technology," Working Papers 22, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    6. Herstatt, Cornelius & Verworn, Birgit, 2001. "The "fuzzy front end" of innovation," Working Papers 4, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    7. Lettl, Christoph & Herstatt, Cornelius & Gemuenden, H-G., 2004. "Learning from users for radical innovation," Working Papers 27, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    8. Morrison, Pamela D. & Roberts, John H., 1998. "Matching Electronic Distribution Channels to Product Characteristics: The Role of Congruence in Consideration Set Formation," Journal of Business Research, Elsevier, vol. 41(3), pages 223-229, March.
    9. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Mangement Sciences in Research on Personalization," Review of Marketing Science Working Papers 2-2-1025, Berkeley Electronic Press.
    10. Herstatt, Cornelius & Lettl, Christopher, 2000. "Management of "technology push" development projects," Working Papers 5e, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    11. Herstatt, Cornelius & Lettl, Christopher, 2000. "Management von technologie-getriebenen Entwicklungsprojekten," Working Papers 5, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.

  10. Griffin, Abbie. & Hauser, John R. & Griffin, Abbie, 1994. "Integrating R&D and marketing : a review and analysis of the literature," Working papers #112-94. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Montgomery, David B. & Roth, Aleda V. & Hausmann, Warren H., 2001. "Why Should Marketing and Manufacturing Work Together? Some Exploratory Empirical," Research Papers 1706, Stanford University, Graduate School of Business.
    2. Cooper, Marjorie J. & Gwin, Carol F. & Wakefield, Kirk L., 2008. "Cross-functional interface and disruption in CRM projects: Is marketing from Venus and information systems from Mars?," Journal of Business Research, Elsevier, vol. 61(4), pages 292-299, April.
    3. Thomas Gillier & Gérald Piat, 2011. "Exploring over the Presumed Identity of Emerging Technology," Grenoble Ecole de Management (Post-Print) hal-00641765, HAL.
    4. Lichtenthaler, Ulrich, 2008. "Externally commercializing technology assets: An examination of different process stages," Journal of Business Venturing, Elsevier, vol. 23(4), pages 445-464, July.
    5. Hausman, Warren H. & Montgomery, David B. & Roth, Aleda V., 2000. "Exploring the Impact of Marketing and Manufacturing Strategies, Conflict, and Morale on Business Performance," Research Papers 1620, Stanford University, Graduate School of Business.
    6. Chimhanzi, Jacqueline & Morgan, Robert E., 2005. "Explanations from the marketing/human resources dyad for marketing strategy implementation effectiveness in service firms," Journal of Business Research, Elsevier, vol. 58(6), pages 787-796, June.
    7. Rehme, Sarina & Rennhak, Carsten, 2011. "Marketing and sales: Successful peacekeeping," Reutlingen Working Papers on Marketing & Management 2011-11, Reutlingen University, ESB Business School.
    8. Guenzi, Paolo & Troilo, Gabriele, 2007. "The joint contribution of marketing and sales to the creation of superior customer value," Journal of Business Research, Elsevier, vol. 60(2), pages 98-107, February.
    9. Fosfuri, Andrea & Rønde, Thomas, 2009. "Leveraging resistance to change and the skunk works model of innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 274-289, October.
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    Cited by:

    1. Ulrike Schuster & J?rgen W?ckl, 2005. "Optimal Defensive Strategies under Varying Consumer Distributional Patterns and Market Maturity," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 1(2), pages 187-206, July.
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    Cited by:

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    Cited by:

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    Cited by:

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    2. Hauser, John R. & Urban, Glen L., 1985. "The value priority hypotheses for purchases of consumer durable goods," Working papers 1637-85., Massachusetts Institute of Technology (MIT), Sloan School of Management.

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    Cited by:

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    4. Jan-Benedict E. M. Steenkamp & Vincent R. Nijs & Dominique M. Hanssens & Marnik G. Dekimpe, 2005. "Competitive Reactions to Advertising and Promotion Attacks," Marketing Science, INFORMS, vol. 24(1), pages 35-54, September.
    5. Ulrike Schuster & J?rgen W?ckl, 2005. "Optimal Defensive Strategies under Varying Consumer Distributional Patterns and Market Maturity," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 1(2), pages 187-206, July.
    6. Steven M. Shugan, 2004. "Editorial: Consulting, Research, and Consulting Research," Marketing Science, INFORMS, vol. 23(2), pages 173-179.
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    27. Yuanfang Lin & Sandeep Krishnamurthy, 2017. "Generic and Brand Advertising Strategies Under Inter-Industry Competition," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 4(1), pages 18-27, September.
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    29. Matthew Selove, 2014. "A Dynamic Model of Competitive Entry Response," Marketing Science, INFORMS, vol. 33(3), pages 353-363, May.
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    34. Jonathan D. Bohlmann & Peter N. Golder & Debanjan Mitra, 2002. "Deconstructing the Pioneer's Advantage: Examining Vintage Effects and Consumer Valuations of Quality and Variety," Management Science, INFORMS, vol. 48(9), pages 1175-1195, September.
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    51. Yan Lu & Debanjan Mitra & David Musto & Sugata Ray, 2020. "Can Brands Circumvent Marketing Regulations? Exploiting Umbrella Branding in Financial Markets," Marketing Science, INFORMS, vol. 39(1), pages 71-91, January.
    52. Byung Cheol Lee & Christine Moorman & C. Page Moreau & Andrew T. Stephen & Donald R. Lehmann, 2020. "The past, present, and future of innovation research," Marketing Letters, Springer, vol. 31(2), pages 187-198, September.
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    56. Neil A. Morgan & Kimberly A. Whitler & Hui Feng & Simos Chari, 2019. "Research in marketing strategy," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 4-29, January.
    57. Ó González-Benito & M P Martínez-Ruiz & A Molla-Descals, 2009. "Spatial mapping of price competition using logit-type market share models and store-level scanner-data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 52-62, January.
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    60. Dmitri Kuksov & Yuanfang Lin, 2017. "Signaling Low Margin Through Assortment," Management Science, INFORMS, vol. 63(4), pages 1166-1183, April.
    61. Dmitri Kuksov & Yuanfang Lin, 2010. "Information Provision in a Vertically Differentiated Competitive Marketplace," Marketing Science, INFORMS, vol. 29(1), pages 122-138, 01-02.
    62. Wayne DeSarbo & Kamel Jedidi & Joel Steckel, 1991. "A stochastic multidimensional scaling procedure for the empirical determination of convex indifference curves for preference/choice analysis," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 279-307, June.
    63. Elie Ofek & V. Srinivasan, 2002. "How Much Does the Market Value an Improvement in a Product Attribute?," Marketing Science, INFORMS, vol. 21(4), pages 398-411, June.
    64. Liang Guo & Ying Zhao, 2009. "Voluntary Quality Disclosure and Market Interaction," Marketing Science, INFORMS, vol. 28(3), pages 488-501, 05-06.
    65. Adithya Pattabhiramaiah & S. Sriram & Shrihari Sridhar, 2018. "Rising Prices Under Declining Preferences: The Case of the U.S. Print Newspaper Industry," Marketing Science, INFORMS, vol. 37(1), pages 97-122, January.
    66. Rust, Roland T. & Metters, Richard, 1996. "Mathematical models of service," European Journal of Operational Research, Elsevier, vol. 91(3), pages 427-439, June.
    67. Steven M. Shugan, 2005. "Comments on Competitive Responsiveness," Marketing Science, INFORMS, vol. 24(1), pages 3-7.
    68. Sridhar Balasubramanian & Shantanu Bhattacharya & Vish V. Krishnan, 2015. "Pricing Information Goods: A Strategic Analysis of the Selling and Pay-per-Use Mechanisms," Marketing Science, INFORMS, vol. 34(2), pages 218-234, March.
    69. Oghojafor Ben Akpoyomare & Ladipo Patrick Kunle Adeosun & Rahim Ajao Ganiyu, 2013. "Approaches for Generating and Evaluating Product Positioning Strategy," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 4(1), pages 46-52, January.
    70. Sherif Nasser & Danko Turcic & Chakravarthi Narasimhan, 2013. "National Brand's Response to Store Brands: Throw In the Towel or Fight Back?," Marketing Science, INFORMS, vol. 32(4), pages 591-608, July.
    71. Yogesh V. Joshi & David J. Reibstein & Z. John Zhang, 2016. "Turf Wars: Product Line Strategies in Competitive Markets," Marketing Science, INFORMS, vol. 35(1), pages 128-141, January.
    72. John D. C. Little, 2004. "Comments on ÜModels and Managers: The Concept of a Decision CalculusÝ," Management Science, INFORMS, vol. 50(12_supple), pages 1854-1860, December.
    73. Chia-Lin LEE & Reinhold DECKER, 2009. "Modeling The Effect Of Belief Revisions On The Success Of Co-Branding," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(2(8)_ Sum).
    74. Niladri Syam & Partha Krishnamurthy & James D. Hess, 2008. "What I Thought I Wanted? Miswanting and Regret for a Standard Good in a Mass-Customized World," Marketing Science, INFORMS, vol. 27(3), pages 379-397, 05-06.
    75. J. Miguel Villas-Boas, 2018. "A Dynamic Model of Repositioning," Marketing Science, INFORMS, vol. 37(2), pages 279-293, March.
    76. Niladri B. Syam & Ranran Ruan & James D. Hess, 2005. "Customized Products: A Competitive Analysis," Marketing Science, INFORMS, vol. 24(4), pages 569-584, February.
    77. Wilden, Ralf & Leiblein, Michael J. & Lin, Nidthida, 2024. "Exploring performance heterogeneity: Integrative insights from strategic management and marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    78. Ikuo Ishibashi & Noriaki Matsushima, 2009. "The Existence of Low-End Firms May Help High-End Firms," Marketing Science, INFORMS, vol. 28(1), pages 136-147, 01-02.
    79. Pazgal, Amit & Soberman, David & Thomadsen, Raphael, 2016. "Profit-increasing asymmetric entry," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 107-122.
    80. Yuxin Chen & Jinhong Xie, 2007. "Cross-Market Network Effect with Asymmetric Customer Loyalty: Implications for Competitive Advantage," Marketing Science, INFORMS, vol. 26(1), pages 52-66, 01-02.
    81. Christine Chou & Steven O. Kimbrough, 2016. "An agent-based model of organizational ambidexterity decisions and strategies in new product development," Computational and Mathematical Organization Theory, Springer, vol. 22(1), pages 4-46, March.
    82. Hoang, Dong & Breugelmans, Els, 2023. "“Sorry, the product you ordered is out of stock”: Effects of substitution policy in online grocery retailing," Journal of Retailing, Elsevier, vol. 99(1), pages 26-45.
    83. Lin, Yuanfang & Pazgal, Amit & Soberman, David A., 2021. "Who is the winner in an industry of innovation?," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 50-69.
    84. Covin, Jeffrey G. & Slevin, Dennis P. & Heeley, Michael B., 2000. "Pioneers and followers: Competitive tactics, environment, and firm growth," Journal of Business Venturing, Elsevier, vol. 15(2), pages 175-210, March.
    85. Zheyin (Jane) Gu & Ying Xie, 2013. "Facilitating Fit Revelation in the Competitive Market," Management Science, INFORMS, vol. 59(5), pages 1196-1212, May.
    86. Mansour Lotayif, 2015. "Selection Factors of Market Segments and Porter’s Generic Marketing Strategies: Evidence from an Emerging GCC Market," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(1), pages 199-199, December.
    87. Gorkem Bostanci & Pinar Yildirim & Kinshuk Jerath, 2023. "Negative Advertising and Competitive Positioning," Management Science, INFORMS, vol. 69(4), pages 2361-2382, April.
    88. Vishal P. Singh & Karsten T. Hansen & Robert C. Blattberg, 2006. "Market Entry and Consumer Behavior: An Investigation of a Wal-Mart Supercenter," Marketing Science, INFORMS, vol. 25(5), pages 457-476, September.
    89. Ram Bala & Pradeep Bhardwaj & Pradeep K. Chintagunta, 2017. "Pharmaceutical Product Recalls: Category Effects and Competitor Response," Marketing Science, INFORMS, vol. 36(6), pages 931-943, November.

  20. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Vassiliadis, Chris A. & Siomkos, George J. & Vassilikopoulou, Aikaterini & Mylonakis, John, 2005. "Product Design Decisions for Developing New Tourist destinations: The Case of Rhodopi Mountains," MPRA Paper 25404, University Library of Munich, Germany, revised 22 Jan 2006.
    2. Wiebach, Nicole & Hildebrandt, Lutz, 2010. "Context effects as customer reaction on delisting of brands," SFB 649 Discussion Papers 2010-056, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

  21. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    3. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

  22. John R. Hauser & Steven M. Shugan, 1977. "Efficient Measurement of Consumer Preference Functions: A General Theory for Intensity of Preference," Discussion Papers 285, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Leonard Greenhalg & Scott A. Neslin, 1981. "Conjoint Analysis of Negotiator Preferences," Journal of Conflict Resolution, Peace Science Society (International), vol. 25(2), pages 301-327, June.

  23. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    Cited by:

    1. Yasemin Bal Gunduz, 2009. "Estimating Demand for IMF Financing by Low-Income Countries in Response to Shocks," IMF Working Papers 2009/263, International Monetary Fund.
    2. Veall, M. & Zimmermann, K., 1990. "Evaluating Pseudo-R2's for Binary Probit Models," Other publications TiSEM d425a232-37e3-4e5b-910e-c, Tilburg University, School of Economics and Management.
    3. Tony Dignan & Kingsley E. Haynes & Dennis Conway & Nanda R. Shrestha, 1989. "Land and Landlessness among Rural-to-Rural Migrants in Nepal's Terai Region," International Regional Science Review, , vol. 12(2), pages 189-209, August.
    4. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    5. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    6. De Pinto, Alessandro & Nelson, Gerald C., 2006. "Assessing the Robustness of Predictions in Spatially Explicit Models of Land Use," 2006 Annual meeting, July 23-26, Long Beach, CA 21307, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Agarwal, Rajshree & Bayus, Barry L., 2002. "The Market Evolution and Sales Take-Off of Product Innovations," Working Papers 02-0104, University of Illinois at Urbana-Champaign, College of Business.
    8. Joseph Pancras, 2010. "A Framework to Determine the Value of Consumer Consideration Set Information for Firm Pricing Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 269-300, March.
    9. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    10. Hauser, John R., 1981. "Consumer analysis to evaluate R&D projects," Working papers 1245-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    11. Mokhtarian, Patricia L. & Bagley, Michael N., 2000. "Modeling employees' perceptions and proportional preferences of work locations: the regular workplace and telecommuting alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 223-242, May.
    12. Xing, Yan & Handy, Susan L. & Mokhtarian, Patricia L., 2010. "Factors Associated with Proportions and Miles of Bicycling for Transportation and Recreation in Six Small U.S. Cities," Institute of Transportation Studies, Working Paper Series qt74n4j1p0, Institute of Transportation Studies, UC Davis.
    13. Wayne DeSarbo & Donald Lehmann & Gregory Carpenter & Indrajit Sinha, 1996. "A stochastic multidimensional unfolding approach for representing phased decision outcomes," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 485-508, September.
    14. Gurumurthy, K. & Little, John D. C. & University of Texas at Dallas. Marketing Center., 2003. "A price response model developed from perceptual theories," Working papers 89-5, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    15. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    16. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
    17. Narwa, Daniel, 2001. "How general should the proximity model be?," European Journal of Political Economy, Elsevier, vol. 17(1), pages 53-74, March.
    18. Colin Cameron, A. & Windmeijer, Frank A. G., 1997. "An R-squared measure of goodness of fit for some common nonlinear regression models," Journal of Econometrics, Elsevier, vol. 77(2), pages 329-342, April.

  24. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Hauser, John R. & Koppelman, Frank S., 1977. "Designing Transportation Services: A Marketing Apporach," Transportation Research Forum Proceedings 1970s 318674, Transportation Research Forum.
    2. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    4. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

  25. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Ana Oliveira-Brochado & Francisco Vitorino Martins, 2008. "Aspectos Metodológicos da Segmentação de Mercado: Base de Segmentação e Métodos de Classificação," FEP Working Papers 261, Universidade do Porto, Faculdade de Economia do Porto.
    2. Hauser, John R. & Urban, Glen L., 1976. "Direct assessment of consumer utility functions : von Neumann-Morgenstern utility theory applied to marketing," Working papers 843-76A., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. John R. Hauser & Steven Shugan, 1978. "Intensity Measures of Consumer Preferences," Discussion Papers 291, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    4. Urban, Glen L. & Neslin, Scott A., 1976. "The design and marketing of new educational programs," Working papers 873-76., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Hauser, John R. & Urban, Glen L., 1975. "A normative methodology for modeling consumer response to innovation," Working papers 785-75., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    6. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    7. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    8. Silk, Alvin J. & Urban, Glen L., 1976. "Pre-test market evaluation of new packaged goods : a model and measurement methodology," Working papers 834-76., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    9. John R. Hauser, 1977. "Consumer Preference Axioms: Behavioral Postulates for Describing and Predicting Stochastic Choice," Discussion Papers 287, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

Articles

  1. John R. Hauser & Glen L. Urban & Guilherme Liberali & Michael Braun, 2009. "—Response to Comments on “Website Morphing”," Marketing Science, INFORMS, vol. 28(2), pages 227-228, 03-04.

    Cited by:

    1. John Gittins, 2009. "—Discussion on “Website Morphing” by Hauser, Urban, Liberali, and Braun," Marketing Science, INFORMS, vol. 28(2), pages 225-225, 03-04.
    2. Andrew Gelman, 2009. "—Discussion of the Article “Website Morphing”," Marketing Science, INFORMS, vol. 28(2), pages 226-226, 03-04.
    3. Oberoi, Poonam & Patel, Chirag & Haon, Christophe, 2017. "Technology sourcing for website personalization and social media marketing: A study of e-retailing industry," Journal of Business Research, Elsevier, vol. 80(C), pages 10-23.

  2. John R. Hauser & Glen L. Urban & Guilherme Liberali & Michael Braun, 2009. "Website Morphing," Marketing Science, INFORMS, vol. 28(2), pages 202-223, 03-04.

    Cited by:

    1. Eric Johnson & Suzanne Shu & Benedict Dellaert & Craig Fox & Daniel Goldstein & Gerald Häubl & Richard Larrick & John Payne & Ellen Peters & David Schkade & Brian Wansink & Elke Weber, 2012. "Beyond nudges: Tools of a choice architecture," Marketing Letters, Springer, vol. 23(2), pages 487-504, June.
    2. John Gittins, 2009. "—Discussion on “Website Morphing” by Hauser, Urban, Liberali, and Braun," Marketing Science, INFORMS, vol. 28(2), pages 225-225, 03-04.
    3. Andrew Gelman, 2009. "—Discussion of the Article “Website Morphing”," Marketing Science, INFORMS, vol. 28(2), pages 226-226, 03-04.
    4. Oberoi, Poonam & Patel, Chirag & Haon, Christophe, 2017. "Technology sourcing for website personalization and social media marketing: A study of e-retailing industry," Journal of Business Research, Elsevier, vol. 80(C), pages 10-23.

  3. John R. Hauser & Steven M. Shugan, 2008. "Commentary—Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 85-87, 01-02.

    Cited by:

    1. Martín-Herrán, Guiomar & McQuitty, Shaun & Sigué, Simon Pierre, 2012. "Offensive versus defensive marketing: What is the optimal spending allocation?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 210-219.
    2. Xianjin Du & Meng Li & Brian Wu, 2019. "Incumbent repositioning with decision biases," Strategic Management Journal, Wiley Blackwell, vol. 40(12), pages 1984-2010, December.
    3. Yanjie Wu & Sujuan Wang, 2021. "Sustainable Market Entry Strategy under a Supply Chain Environment," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
    4. Yan Lu & Debanjan Mitra & David Musto & Sugata Ray, 2020. "Can Brands Circumvent Marketing Regulations? Exploiting Umbrella Branding in Financial Markets," Marketing Science, INFORMS, vol. 39(1), pages 71-91, January.
    5. Neil A. Morgan & Kimberly A. Whitler & Hui Feng & Simos Chari, 2019. "Research in marketing strategy," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 4-29, January.
    6. Wilden, Ralf & Leiblein, Michael J. & Lin, Nidthida, 2024. "Exploring performance heterogeneity: Integrative insights from strategic management and marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

  4. Michael Yee & Ely Dahan & John R. Hauser & James Orlin, 2007. "Greedoid-Based Noncompensatory Inference," Marketing Science, INFORMS, vol. 26(4), pages 532-549, 07-08.

    Cited by:

    1. Paola Manzini & Marco Mariotti, 2006. "Consumer Choice and Revealed Bounded Rationality," Working Papers 571, Queen Mary University of London, School of Economics and Finance.
    2. Jeffrey E. Harris & Mariana Gerstenblüth & Patricia Triunfo, 2018. "Smokers’ Rational Lexicographic Preferences for Cigarette Package Warnings: A Discrete Choice Experiment with Eye Tracking," Documentos de Trabajo (working papers) 0218, Department of Economics - dECON.
    3. Pere Mir-Artigues, 2022. "Combining preferences and heuristics in analysing consumer behaviour," Evolutionary and Institutional Economics Review, Springer, vol. 19(2), pages 523-543, September.
    4. Petri, Henrik & Voorneveld, Mark, 2016. "Characterizing lexicographic preferences," Journal of Mathematical Economics, Elsevier, vol. 63(C), pages 54-61.
    5. Zhenghui Sha & Yun Huang & Jiawei Sophia Fu & Mingxian Wang & Yan Fu & Noshir Contractor & Wei Chen, 2018. "A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations," Complexity, Hindawi, vol. 2018, pages 1-14, January.
    6. Volker Kuppelwieser & Fouad Ben Abdelaziz & Olfa Meddeb, 2020. "Unstable interactions in customers’ decision making: an experimental proof," Annals of Operations Research, Springer, vol. 294(1), pages 479-499, November.
    7. Carson, Richard T. & Louviere, Jordan J., 2014. "Statistical properties of consideration sets," Journal of choice modelling, Elsevier, vol. 13(C), pages 37-48.
    8. Mridu Prabal Goswami & Manipushpak Mitra & Debapriya Sen, 2022. "A Characterization of Lexicographic Preferences," Decision Analysis, INFORMS, vol. 19(2), pages 170-187, June.
    9. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    10. Anderson, Simon & Renault, Régis, 2012. "The advertising mix for a search good," CEPR Discussion Papers 8756, C.E.P.R. Discussion Papers.
    11. Brighton, Henry & Gigerenzer, Gerd, 2015. "The bias bias," Journal of Business Research, Elsevier, vol. 68(8), pages 1772-1784.
    12. Neeraj Arora & Ty Henderson & Qing Liu, 2011. "Noncompensatory Dyadic Choices," Marketing Science, INFORMS, vol. 30(6), pages 1028-1047, November.
    13. Dulleck, Uwe & Hackl, Franz & Weiss, Bernhard & Winter-Ebmer, Rudolf, 2008. "Buying Online: Sequential Decision Making by Shopbot Visitors," Economics Series 225, Institute for Advanced Studies.
    14. Berg, Nathan & Gigerenzer, Gerd, 2010. "As-if behavioral economics: Neoclassical economics in disguise?," MPRA Paper 26586, University Library of Munich, Germany.
    15. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    16. Nicolas Houy, 2011. "Common characterizations of the untrapped set and the top cycle," Theory and Decision, Springer, vol. 70(4), pages 501-509, April.
    17. Krecik, Markus, 2024. "A needs-based framework for approximating decisions and well-being," Discussion Papers 2024/2, Free University Berlin, School of Business & Economics.
    18. Michael Mandler & Paola Manzini & Marco Mariotti, 2008. "A Million Answers to Twenty Questions: Choosing by Checklist," Working Papers 622, Queen Mary University of London, School of Economics and Finance.
    19. Karniouchina, Ekaterina V. & Moore, William L. & van der Rhee, Bo & Verma, Rohit, 2009. "Issues in the use of ratings-based versus choice-based conjoint analysis in operations management research," European Journal of Operational Research, Elsevier, vol. 197(1), pages 340-348, August.
    20. Berg, Nathan, 2014. "Success from satisficing and imitation: Entrepreneurs' location choice and implications of heuristics for local economic development," Journal of Business Research, Elsevier, vol. 67(8), pages 1700-1709.
    21. Kim, Youngju & Hardt, Nino & Kim, Jaehwan & Allenby, Greg M., 2022. "Conjunctive screening in models of multiple discreteness," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1209-1234.
    22. Daria Dzyabura & John R. Hauser, 2011. "Active Machine Learning for Consideration Heuristics," Marketing Science, INFORMS, vol. 30(5), pages 801-819, September.
    23. Jella Pfeiffer & Michael Scholz, 2013. "A Low-Effort Recommendation System with High Accuracy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 397-408, December.
    24. Anocha Aribarg & Thomas Otter & Daniel Zantedeschi & Greg M. Allenby & Taylor Bentley & David J. Curry & Marc Dotson & Ty Henderson & Elisabeth Honka & Rajeev Kohli & Kamel Jedidi & Stephan Seiler & X, 2018. "Advancing Non-compensatory Choice Models in Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 82-92, March.
    25. Pathak, Parag A. & Shi, Peng, 2021. "How well do structural demand models work? Counterfactual predictions in school choice," Journal of Econometrics, Elsevier, vol. 222(1), pages 161-195.
    26. Rajeev Kohli & Khaled Boughanmi & Vikram Kohli, 2019. "Randomized Algorithms for Lexicographic Inference," Operations Research, INFORMS, vol. 67(2), pages 357-375, March.
    27. Dimitris Bertsimas & Velibor V. Mišić, 2019. "Exact First-Choice Product Line Optimization," Operations Research, INFORMS, vol. 67(3), pages 651-670, May.
    28. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
    29. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.
    30. Schlereth, Christian & Eckert, Christine & Schaaf, René & Skiera, Bernd, 2014. "Measurement of preferences with self-explicated approaches: A classification and merge of trade-off- and non-trade-off-based evaluation types," European Journal of Operational Research, Elsevier, vol. 238(1), pages 185-198.
    31. Bremer, Lucas & Heitmann, Mark & Schreiner, Thomas F., 2017. "When and how to infer heuristic consideration set rules of consumers," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 516-535.

  5. Garcia, Rosanna & Rummel, Paul & Hauser, John, 2007. "Validating agent-based marketing models through conjoint analysis," Journal of Business Research, Elsevier, vol. 60(8), pages 848-857, August.

    Cited by:

    1. Ngo-Hoang, Dai-Long, 2019. "A research paper of Hossein Sabzian (2019), Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners, ArXiv, 54p," AgriXiv xutyz, Center for Open Science.
    2. Zhang, Tianyu & Dong, Peiwu & Zeng, Yongchao & Ju, Yanbing, 2022. "Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model," Journal of Business Research, Elsevier, vol. 139(C), pages 90-105.
    3. Mann, S. & Reissig, L. & Ferjani, A. & Ayala, T., 2011. "Worauf kommt es Schweizer Konsumenten von Biowein an?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 46, March.
    4. Herbert Dawid & Reinhold Decker & Thomas Hermann & Hermann Jahnke & Wilhelm Klat & Rolf König & Christian Stummer, 2017. "Management science in the era of smart consumer products: challenges and research perspectives," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 203-230, March.
    5. Enrico Cozzoni & Carmine Passavanti & Cristina Ponsiglione & Simonetta Primario & Pierluigi Rippa, 2021. "Interorganizational Collaboration in Innovation Networks: An Agent Based Model for Responsible Research and Innovation in Additive Manufacturing," Sustainability, MDPI, vol. 13(13), pages 1-17, July.
    6. Schubring, Sandra & Lorscheid, Iris & Meyer, Matthias & Ringle, Christian M., 2016. "The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation," Journal of Business Research, Elsevier, vol. 69(10), pages 4604-4612.
    7. Stummer, Christian & Kiesling, Elmar & Günther, Markus & Vetschera, Rudolf, 2015. "Innovation diffusion of repeat purchase products in a competitive market: An agent-based simulation approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 157-167.
    8. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    9. Ronny Baierl, 2018. "Understanding Entrepreneurial Team Decisions: Measuring Team Members’ Influences With The Metricized Limit Conjoint Analysis," SAGE Open, , vol. 8(2), pages 21582440187, May.
    10. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    11. Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
    12. Steven D’Alessandro & Lester Johnson & David Gray & Leanne Carter, 2015. "Consumer satisfaction versus churn in the case of upgrades of 3G to 4G cell networks," Marketing Letters, Springer, vol. 26(4), pages 489-500, December.
    13. Colasante, Annarita, 2016. "Evolution of Cooperation in Public Good Game," MPRA Paper 72577, University Library of Munich, Germany.
    14. Shim Jaehu & Bliemel Martin, 2018. "Ignition of New Product Diffusion in Entrepreneurship: An Agent-Based Approach," Entrepreneurship Research Journal, De Gruyter, vol. 8(2), pages 1-17, March.
    15. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
    16. Colasante, Annarita, 2017. "Selection of the distributional rule as an alternative tool to foster cooperation in a Public Good Game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 482-492.

  6. Olivier Toubia & John R. Hauser, 2007. "—On Managerially Efficient Experimental Designs," Marketing Science, INFORMS, vol. 26(6), pages 851-858, 11-12.

    Cited by:

    1. Scarpa, Riccardo & Rose, John M., 2008. "Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 1-30.
    2. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    3. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    4. Qing Liu & Neeraj Arora, 2011. "Efficient Choice Designs for a Consider-Then-Choose Model," Marketing Science, INFORMS, vol. 30(2), pages 321-338, 03-04.
    5. Daria Dzyabura & John R. Hauser, 2011. "Active Machine Learning for Consideration Heuristics," Marketing Science, INFORMS, vol. 30(5), pages 801-819, September.
    6. Qing Liu & Yihui (Elina) Tang, 2015. "Construction of Heterogeneous Conjoint Choice Designs: A New Approach," Marketing Science, INFORMS, vol. 34(3), pages 346-366, May.
    7. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    8. Dominique Olié Lauga & Elie Ofek, 2009. "Market Research and Innovation Strategy in a Duopoly," Marketing Science, INFORMS, vol. 28(2), pages 373-396, 03-04.
    9. Rossella Berni & Nedka Dechkova Nikiforova & Patrizia Pinelli, 2024. "An Optimal Design through a Compound Criterion for Integrating Extra Preference Information in a Choice Experiment: A Case Study on Moka Ground Coffee," Stats, MDPI, vol. 7(2), pages 1-16, June.

  7. Olivier Toubia & John Hauser & Rosanna Garcia, 2007. "Probabilistic Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis: Theory and Application," Marketing Science, INFORMS, vol. 26(5), pages 596-610, 09-10.

    Cited by:

    1. Julio López & Sebastián Maldonado & Ricardo Montoya, 2017. "Simultaneous preference estimation and heterogeneity control for choice-based conjoint via support vector machines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1323-1334, November.
    2. Tammo Bijmolt & Michel Velden, 2012. "Multiattribute perceptual mapping with idiosyncratic brand and attribute sets," Marketing Letters, Springer, vol. 23(3), pages 585-601, September.
    3. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    4. Maldonado, Sebastián & Montoya, Ricardo & Weber, Richard, 2015. "Advanced conjoint analysis using feature selection via support vector machines," European Journal of Operational Research, Elsevier, vol. 241(2), pages 564-574.
    5. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    6. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    7. Hauser, John R., 2014. "Consideration-set heuristics," Journal of Business Research, Elsevier, vol. 67(8), pages 1688-1699.
    8. Dimitris Bertsimas & Allison O'Hair, 2013. "Learning Preferences Under Noise and Loss Aversion: An Optimization Approach," Operations Research, INFORMS, vol. 61(5), pages 1190-1199, October.
    9. Mingyu Joo & Michael L. Thompson & Greg M. Allenby6, 2019. "Optimal Product Design by Sequential Experiments in High Dimensions," Management Science, INFORMS, vol. 65(7), pages 3235-3254, July.
    10. Maxime C. Cohen & Ilan Lobel & Renato Paes Leme, 2020. "Feature-Based Dynamic Pricing," Management Science, INFORMS, vol. 66(11), pages 4921-4943, November.
    11. Eggers, Felix & Sattler, Henrik, 2009. "Hybrid individualized two-level choice-based conjoint (HIT-CBC): A new method for measuring preference structures with many attribute levels," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 108-118.
    12. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2011. "Individually adapted sequential Bayesian conjoint-choice designs in the presence of consumer heterogeneity," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 378-388.
    13. Daria Dzyabura & John R. Hauser, 2011. "Active Machine Learning for Consideration Heuristics," Marketing Science, INFORMS, vol. 30(5), pages 801-819, September.
    14. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
    15. Qing Liu & Yihui (Elina) Tang, 2015. "Construction of Heterogeneous Conjoint Choice Designs: A New Approach," Marketing Science, INFORMS, vol. 34(3), pages 346-366, May.
    16. Steven M. Shugan, 2009. "—Relevancy Is Robust Prediction, Not Alleged Realism," Marketing Science, INFORMS, vol. 28(5), pages 991-998, 09-10.
    17. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    18. Olivier Toubia & Eric Johnson & Theodoros Evgeniou & Philippe Delquié, 2013. "Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters," Management Science, INFORMS, vol. 59(3), pages 613-640, June.
    19. Junpei Komiyama & Shunya Noda, 2021. "Deviation-Based Learning: Training Recommender Systems Using Informed User Choice," Papers 2109.09816, arXiv.org, revised Aug 2022.
    20. Vishva Danthurebandara & Jie Yu & Martina Vandebroek, 2015. "Designing choice experiments by optimizing the complexity level to individual abilities," Quantitative Marketing and Economics (QME), Springer, vol. 13(1), pages 1-26, March.
    21. Denis Sauré & Juan Pablo Vielma, 2019. "Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis," Operations Research, INFORMS, vol. 67(2), pages 315-338, March.
    22. Steven M. Shugan & Jihwan Moon & JQiaoni Shi & Nanda S. Kumar, 2017. "Product Line Bundling: Why Airlines Bundle High-End While Hotels Bundle Low-End," Marketing Science, INFORMS, vol. 36(1), pages 124-139, January.
    23. Rossella Berni & Nedka Dechkova Nikiforova & Patrizia Pinelli, 2024. "An Optimal Design through a Compound Criterion for Integrating Extra Preference Information in a Choice Experiment: A Case Study on Moka Ground Coffee," Stats, MDPI, vol. 7(2), pages 1-16, June.

  8. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.

    Cited by:

    1. Chao, Chih-Wei & Reid, Mike & Mavondo, Felix T., 2012. "Consumer innovativeness influence on really new product adoption," Australasian marketing journal, Elsevier, vol. 20(3), pages 211-217.
    2. Christine Moorman & Simone Wies & Natalie Mizik & Fredrika J. Spencer, 2012. "Firm Innovation and the Ratchet Effect Among Consumer Packaged Goods Firms," Marketing Science, INFORMS, vol. 31(6), pages 934-951, November.
    3. Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
    4. Hollenbeck, Brett, 2018. "Horizontal Mergers and Innovation in Concentrated Industries," MPRA Paper 90764, University Library of Munich, Germany.
    5. Ya You & Shuba Srinivasan & Koen Pauwels & Amit Joshi, 2020. "How CEO/CMO characteristics affect innovation and stock returns: findings and future directions," Journal of the Academy of Marketing Science, Springer, vol. 48(6), pages 1229-1253, November.
    6. Guseo, Renato & Guidolin, Mariangela, 2015. "Heterogeneity in diffusion of innovations modelling: A few fundamental types," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 514-524.
    7. Jugend, Daniel & Jabbour, Charbel Jose Chiappeta & Alves Scaliza, Janaina A. & Rocha, Robson Sø & Junior, José Alcides Gobbo & Latan, Hengky & Salgado, Manoel Henrique, 2018. "Relationships among open innovation, innovative performance, government support and firm size: Comparing Brazilian firms embracing different levels of radicalism in innovation," Technovation, Elsevier, vol. 74, pages 54-65.
    8. Mohammad Jamal Khan & Sahrish Ahmad & Hasliza Abdul Halim & Noor Hazlina Ahmad, 2022. "The Effect of Service Innovation Orientation and Open Innovation on Innovation Performance of Medium and Small Private Hospitals in India," SAGE Open, , vol. 12(3), pages 21582440221, August.
    9. Stella Lippolis & Angelo Ruggieri & Rossella Leopizzi, 2023. "Open Innovation for sustainable transition: The case of Enel “Open Power”," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4202-4216, November.
    10. Saurabh Panwar & P. K. Kapur & Ompal Singh, 2019. "Modeling Technological Substitution by Incorporating Dynamic Adoption Rate," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-24, February.
    11. Xinfang (Jocelyn) Wang & Jeffrey D. Camm & David J. Curry, 2009. "A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem," Management Science, INFORMS, vol. 55(10), pages 1718-1728, October.
    12. Yuetao Gao & Norman Johnson & Bo Shen & Yinliang (Ricky) Tan, 2023. "Benefits of sourcing alternative inputs of manufacturers for suppliers," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1880-1894, June.
    13. Mooi, Erik A. & Frambach, Ruud T., 2012. "Encouraging innovation in business relationships—A research note," Journal of Business Research, Elsevier, vol. 65(7), pages 1025-1030.
    14. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    15. Rajdeep Grewal & Murali Chandrashekaran & F. Robert Dwyer, 2008. "Navigating Local Environments with Global Strategies: A Contingency Model of Multinational Subsidiary Performance," Marketing Science, INFORMS, vol. 27(5), pages 886-902, 09-10.
    16. Heidenreich, Sven & Kraemer, Tobias, 2015. "Passive innovation resistance: The curse of innovation? Investigating consequences for innovative consumer behavior," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 134-151.
    17. Cloughton, Carol, 2020. "Investigating the link between innovation and mainstream adoption: How to identify consumer trends," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    18. Granato, Giulia & Fischer, Arnout R.H. & van Trijp, Hans C.M., 2022. "“Misalignments between users and designers as source of inspiration: A novel hybrid method for physical new product development”," Technovation, Elsevier, vol. 111(C).
    19. Bitner, Mary Jo & Brown, Stephen W., 2008. "The service imperative," Business Horizons, Elsevier, vol. 51(1), pages 39-46.
    20. Sylwia Bąk, 2023. "The Embedment of Risk Management in Enterprise Management System," International Journal of Contemporary Management, Sciendo, vol. 59(2), pages 1-16, June.
    21. Tor Helge Aas & Karl Joachim Breunig & Katja Maria Hydle, 2017. "Exploring New Service Portfolio Management," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-31, August.
    22. Steven M. Shugan, 2007. "—It's the Findings, Stupid, Not the Assumptions," Marketing Science, INFORMS, vol. 26(4), pages 449-459, 07-08.
    23. Zschocke, Mark S. & Mantin, Benny & Jewkes, Elizabeth M., 2013. "Mature or emerging markets: Competitive duopoly investment decisions," European Journal of Operational Research, Elsevier, vol. 228(3), pages 612-622.
    24. Andries, Petra & Hünermund, Paul, 2020. "Firm-level effects of staged investments in innovation: The moderating role of resource availability," Research Policy, Elsevier, vol. 49(7).
    25. Sivakumar, K. & Feng, Cong, 2019. "Patterns of product improvements and customer response," Journal of Business Research, Elsevier, vol. 104(C), pages 27-43.
    26. Brettel, Malte & Mauer, René & Engelen, Andreas & Küpper, Daniel, 2012. "Corporate effectuation: Entrepreneurial action and its impact on R&D project performance," Journal of Business Venturing, Elsevier, vol. 27(2), pages 167-184.
    27. Alok R. Saboo & Rajdeep Grewal, 2013. "Stock Market Reactions to Customer and Competitor Orientations: The Case of Initial Public Offerings," Marketing Science, INFORMS, vol. 32(1), pages 70-88, October.
    28. Bolton, Ruth & Saxena-Iyer, Shruti, 2009. "Interactive Services: A Framework, Synthesis and Research Directions," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 91-104.
    29. Chao-Hung Wang & Kuan-Liang Chen, 2018. "Do Relationships have a Dark Side for Innovation Performance in the High-Tech Industry?," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-22, April.
    30. Thierry BURGER-HELMCHEN & Claude GUITTARD, 2008. "Are Users The Next Entrepreneurs? A Case Study On The Video Game Industry," Working Papers of BETA 2008-14, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    31. Eric W. K. Tsang, 2009. "—Assumptions, Explanation, and Prediction in Marketing Science: “It's the Findings, Stupid, Not the Assumptions”," Marketing Science, INFORMS, vol. 28(5), pages 986-990, 09-10.
    32. Małgorzata Wiścicka-Fernando & Sandra Misiak-Kwit & Kelaniyage Shihan Dilruk Fernando, 2019. "Co-Creation as an Innovative Way to Develop an Enterprise—Cross-Country Analysis," Sustainability, MDPI, vol. 11(23), pages 1-13, November.
    33. Jugend, Daniel & da Silva, Sérgio Luis & Salgado, Manoel Henrique & Miguel, Paulo Augusto Cauchick, 2016. "Product portfolio management and performance: Evidence from a survey of innovative Brazilian companies," Journal of Business Research, Elsevier, vol. 69(11), pages 5095-5100.
    34. Sara Parry & Beata Kupiec-Teahan, 2010. "Exploring Marketing and Relationship Software SMEs: A Mixed Methods Approach," Working Papers 10015, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    35. Ronald Klingebiel & John Joseph & Valerie Machoba, 2022. "Sequencing innovation rollout: Learning opportunity versus entry speed," Strategic Management Journal, Wiley Blackwell, vol. 43(9), pages 1763-1792, September.
    36. Jang, Seongsoo & Nemeh, André, 2017. "Salespeople knowledge search behavior and sales performance: An investigation of printing equipment industry," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 323-333.
    37. Deepa Chandrasekaran & Gerard J. Tellis, 2008. "Global Takeoff of New Products: Culture, Wealth, or Vanishing Differences?," Marketing Science, INFORMS, vol. 27(5), pages 844-860, 09-10.
    38. Mihai DRAGHICI & Andreea Jenica PETCU (DRAGHICI), 2011. "Knowledge Transfer - The Key To Drive Innovation For Service Organizations Excellence," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 1(4), pages 1-2, June.
    39. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    40. Sheng, Shibin & Zhou, Kevin Zheng & Lessassy, Leopold, 2013. "NPD speed vs. innovativeness: The contingent impact of institutional and market environments," Journal of Business Research, Elsevier, vol. 66(11), pages 2355-2362.
    41. Reade, Carol & Lee, Hyun-Jung, 2016. "Does ethnic conflict impede or enable employee innovation behavior? The alchemic role of collaborative conflict management," LSE Research Online Documents on Economics 65613, London School of Economics and Political Science, LSE Library.
    42. Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 0. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    43. Gijón, Covadonga & Albarrán Lozano, Irene & Molina, José Manuel, 2021. "Perception of innovation in Spain," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238024, International Telecommunications Society (ITS).
    44. Eleonora Bartoloni & Maurizio Baussola, 2015. "Persistent Product Innovation and Market-oriented Behaviour: the Impact on Firms' Performance," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1505, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    45. Kaitlin D. Wowak & Christopher W. Craighead & David J. Ketchen Jr. & G. Tomas M. Hult, 2016. "Toward a “Theoretical Toolbox” for the Supplier-Enabled Fuzzy Front End of the New Product Development Process," Journal of Supply Chain Management, Institute for Supply Management, vol. 52(1), pages 66-81, January.
    46. Nejad, Mohammad G. & Amini, Mehdi & Babakus, Emin, 2015. "Success Factors in Product Seeding: The Role of Homophily," Journal of Retailing, Elsevier, vol. 91(1), pages 68-88.
    47. Donald Lehmann & Mercedes Esteban-Bravo, 2006. "When giving some away makes sense to jump-start the diffusion process," Marketing Letters, Springer, vol. 17(4), pages 243-254, December.
    48. Katharina Elisabeth Fischer & Tom Stargardt, 2016. "The diffusion of generics after patent expiry in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 1027-1040, November.
    49. Gonzalo Díaz-Meneses & Julia Nieves, 2019. "Ethics for Innovation in Hospitality: How Incremental and Radical Novelties Are Induced by Managers’ Social and Ecological Responsibility," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    50. M. Berk Ataman & Carl F. Mela & Harald J. van Heerde, 2008. "Building Brands," Marketing Science, INFORMS, vol. 27(6), pages 1036-1054, 11-12.
    51. Aurélie Hemonnet-Goujot & Julie Fabbri & Delphine Manceau, 2016. "Crowdsourcing vs Design Thinking. Une étude comparative de deux démarches d'innovation externe dans la phase d'idéation," Post-Print hal-01412693, HAL.
    52. Rašković, Matevž & Ding, Zhonghui & Škare, Vatroslav & Ozretić Došen, Đurđana & Žabkar, Vesna, 2016. "Comparing consumer innovativeness and ethnocentrism of young-adult consumers," Journal of Business Research, Elsevier, vol. 69(9), pages 3682-3686.
    53. Lin, Jun & Chai, Kah Hin & Brombacher, Aarnout C. & Wong, Yoke San, 2009. "Optimal overlapping and functional interaction in product development," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1158-1169, August.
    54. Caroline Lancelot Miltgen & Gaelle Pantin-Sohier & Bianca Grohmann, 2016. "Communicating Sensory Attributes and Innovation Through Food Product Labeling," Post-Print hal-01247599, HAL.
    55. Jacob Goldenberg & Oded Lowengart & Daniel Shapira, 2009. "Zooming In: Self-Emergence of Movements in New Product Growth," Marketing Science, INFORMS, vol. 28(2), pages 274-292, 03-04.
    56. Steven M. Shugan, 2007. "Editorial—The Anna Karenina Bias: Which Variables to Observe?," Marketing Science, INFORMS, vol. 26(2), pages 145-148, 03-04.
    57. Shi, Xiaohui & Li, Feng & Bigdeli, Ali Ziaee, 2016. "An examination of NPD models in the context of business models," Journal of Business Research, Elsevier, vol. 69(7), pages 2541-2550.
    58. Pantourakis, Michail & Tsafarakis, Stelios & Zervoudakis, Konstantinos & Altsitsiadis, Efthymios & Andronikidis, Andreas & Ntamadaki, Vasiliki, 2022. "Clonal selection algorithms for optimal product line design: A comparative study," European Journal of Operational Research, Elsevier, vol. 298(2), pages 585-595.
    59. Pejman Peykani & Mehdi Namazi & Emran Mohammadi, 2022. "Bridging the knowledge gap between technology and business: An innovation strategy perspective," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-18, April.
    60. Ahmed, Waqar & Najmi, Arsalan & Ikram, Minhaj, 2020. "Steering firm performance through innovative capabilities: A contingency approach to innovation management," Technology in Society, Elsevier, vol. 63(C).
    61. Dennis Lyth Frederiksen & Alexander Brem, 2017. "How do entrepreneurs think they create value? A scientific reflection of Eric Ries’ Lean Startup approach," International Entrepreneurship and Management Journal, Springer, vol. 13(1), pages 169-189, March.
    62. Bartels, Jos & Reinders, Machiel J., 2011. "Consumer innovativeness and its correlates: A propositional inventory for future research," Journal of Business Research, Elsevier, vol. 64(6), pages 601-609, June.
    63. Yan lI, 2022. "Corporate Social Responsibility of Chinese Manufacturing Companies' effect on Green Business Strategy, Innovation and Performance," Technium Social Sciences Journal, Technium Science, vol. 31(1), pages 522-552, May.
    64. Sebastian Schneider & Frank Huber, 2022. "You paid what!? Understanding price-related word-of-mouth and price perception among opinion leaders and innovators," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 64-80, February.
    65. Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
    66. Xueming Luo & Shuili Du, 2015. "Exploring the relationship between corporate social responsibility and firm innovation," Marketing Letters, Springer, vol. 26(4), pages 703-714, December.
    67. Yogesh K. Dwivedi & Marijn Janssen & Emma L. Slade & Nripendra P. Rana & Vishanth Weerakkody & Jeremy Millard & Jan Hidders & Dhoya Snijders, 2017. "Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling," Information Systems Frontiers, Springer, vol. 19(2), pages 197-212, April.
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    192. Olivier Toubia & Laurent Florès, 2007. "Adaptive Idea Screening Using Consumers," Marketing Science, INFORMS, vol. 26(3), pages 342-360, 05-06.

  9. John Hauser, 2006. "Guest Editorial from a Previous Editor-in-Chief: Twenty-Five Years of Electic Growth in," Marketing Science, INFORMS, vol. 25(6), pages 557-558, 11-12.

    Cited by:

    1. Jiang, Ling (Alice) & Zhu, Nibing & Yang, Zhilin & Xu, Shen & Jun, Minjoon, 2018. "The relationships between distance factors and international collaborative research outcomes: A bibliometric examination," Journal of Informetrics, Elsevier, vol. 12(3), pages 618-630.

  10. John R. Hauser & Olivier Toubia, 2005. "The Impact of Utility Balance and Endogeneity in Conjoint Analysis," Marketing Science, INFORMS, vol. 24(3), pages 498-507, August.

    Cited by:

    1. John R. Hauser & Glen L. Urban & Guilherme Liberali & Michael Braun, 2009. "Website Morphing," Marketing Science, INFORMS, vol. 28(2), pages 202-223, 03-04.
    2. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    3. Lan Luo & P. K. Kannan & Brian T. Ratchford, 2007. "New Product Development Under Channel Acceptance," Marketing Science, INFORMS, vol. 26(2), pages 149-163, 03-04.
    4. Srinivasan, V. Seenu & Netzer, Oded, 2007. "Adaptive Self-Explication of Multi-attribute Preferences," Research Papers 1979, Stanford University, Graduate School of Business.
    5. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    6. Olivier Toubia & John Hauser & Rosanna Garcia, 2007. "Probabilistic Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis: Theory and Application," Marketing Science, INFORMS, vol. 26(5), pages 596-610, 09-10.
    7. David Hensher & Sean Puckett & John Rose, 2007. "Extending stated choice analysis to recognise agent-specific attribute endogeneity in bilateral group negotiation and choice: a think piece," Transportation, Springer, vol. 34(6), pages 667-679, November.
    8. Olivier Toubia & John R. Hauser, 2007. "—On Managerially Efficient Experimental Designs," Marketing Science, INFORMS, vol. 26(6), pages 851-858, 11-12.
    9. Qing Liu & Thomas Otter & Greg M. Allenby, 2007. "Investigating Endogeneity Bias in Marketing," Marketing Science, INFORMS, vol. 26(5), pages 642-650, 09-10.
    10. Steven M. Shugan, 2006. "Editorial: Who Is Afraid to Give Freedom of Speech to Marketing Folks?," Marketing Science, INFORMS, vol. 25(5), pages 403-410, September.
    11. Dongling Huang & Lan Luo, 2016. "Consumer Preference Elicitation of Complex Products Using Fuzzy Support Vector Machine Active Learning," Marketing Science, INFORMS, vol. 35(3), pages 445-464, May.
    12. Luc Wathieu & Marco Bertini, 2007. "Price as a Stimulus to Think: The Case for Willful Overpricing," Marketing Science, INFORMS, vol. 26(1), pages 118-129, 01-02.
    13. Theodoros Evgeniou & Massimiliano Pontil & Olivier Toubia, 2007. "A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation," Marketing Science, INFORMS, vol. 26(6), pages 805-818, 11-12.
    14. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    15. Campbell, Danny & Doherty, Edel & Gibson, Vikki, 2011. "Choosing ‘buy none’ in food choice analysis: the role of utility balance," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108951, Agricultural Economics Society.
    16. John R. Hauser & Guilherme (Gui) Liberali & Glen L. Urban, 2014. "Website Morphing 2.0: Switching Costs, Partial Exposure, Random Exit, and When to Morph," Management Science, INFORMS, vol. 60(6), pages 1594-1616, June.
    17. Decker, Reinhold & Trusov, Michael, 2010. "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 293-307.
    18. Denis Sauré & Juan Pablo Vielma, 2019. "Ellipsoidal Methods for Adaptive Choice-Based Conjoint Analysis," Operations Research, INFORMS, vol. 67(2), pages 315-338, March.
    19. Steven M. Shugan, 2006. "Editorial—Are Consumers Rational? Experimental Evidence?," Marketing Science, INFORMS, vol. 25(1), pages 1-7, 01-02.
    20. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.
    21. Steven M. Shugan, 2006. "Editorial: Save Research—Abandon the Case Method of Teaching," Marketing Science, INFORMS, vol. 25(2), pages 109-115, 03-04.
    22. Olivier Toubia & Laurent Florès, 2007. "Adaptive Idea Screening Using Consumers," Marketing Science, INFORMS, vol. 26(3), pages 342-360, 05-06.

  11. Olivier Toubia & Duncan I. Simester & John R. Hauser & Ely Dahan, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Marketing Science, INFORMS, vol. 22(3), pages 273-303.
    See citations under working paper version above.
  12. John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1997. "Side Payments in Marketing," Marketing Science, INFORMS, vol. 16(3), pages 246-255.
    • Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1997. "Side payments in marketing," Working papers 161-97. Working paper (Sl, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    See citations under working paper version above.
  13. John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1994. "Customer Satisfaction Incentives," Marketing Science, INFORMS, vol. 13(4), pages 327-350.

    Cited by:

    1. Zheyin (Jane) Gu & Yunchuan Liu, 2018. "Why would a big retailer refuse to collaborate on manufacturer SPIFF programs?," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 441-472, December.
    2. Allam Yousuf & Vahid Zeynvand Lorestani & Judit Oláh & János Felföldi, 2021. "Does Uncertainty Moderate the Relationship between Strategic Flexibility and Companies’ Performance? Evidence from Small and Medium Pharmaceutical Companies in Iran," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    3. Dmitri Kuksov & J. Miguel Villas-Boas, 2019. "The Performance Measurement Trap," Marketing Science, INFORMS, vol. 38(1), pages 68-87, January.
    4. Ajay Kalra & Mengze Shi & Kannan Srinivasan, 2003. "Salesforce Compensation Scheme and Consumer Inferences," Management Science, INFORMS, vol. 49(5), pages 655-672, May.
    5. Margaret A. Abernethy & Jan Bouwens & Laurence Van Lent, 2013. "The Role of Performance Measures in the Intertemporal Decisions of Business Unit Managers," Contemporary Accounting Research, John Wiley & Sons, vol. 30(3), pages 925-961, September.
    6. Evgeni Stanimirov & Vladimir Jechev, 2013. "Consumer Orientation as a Factor for Satisfying the Clients," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 56-89.
    7. Naresh Bansal & Kissan Bansal & Minghui Ma & M. Babajide Wintoki, 2017. "Do CMO Incentives Matter? An Empirical Investigation of CMO Compensation and Its Impact on Firm Performance," Management Science, INFORMS, vol. 63(6), pages 1993-2015, June.
    8. Sunil Dutta & Stefan Reichelstein, 2003. "Leading Indicator Variables, Performance Measurement, and Long‐Term Versus Short‐Term Contracts," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 837-866, December.
    9. Rong Huang & Xintian Lin & Yuan Xie, 2023. "Does CDS market price intangible asset value? Evidence from SG&A expenditure," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 701-728, August.
    10. John R. Hauser, 1998. "Research, Development, and Engineering Metrics," Management Science, INFORMS, vol. 44(12-Part-1), pages 1670-1689, December.
    11. Kissan Joseph & Alex Thevaranjan, 1998. "Monitoring and Incentives in Sales Organizations: An Agency-Theoretic Perspective," Marketing Science, INFORMS, vol. 17(2), pages 107-123.
    12. Gu, Leilei, 2023. "Executives’ financial experience and myopic marketing management: A myopic loss-aversion perspective," Journal of Business Research, Elsevier, vol. 157(C).
    13. Yu-Ching Chiao, 2014. "Country risk, multimarket contacts and MNEs' competitive action," International Journal of Business Environment, Inderscience Enterprises Ltd, vol. 6(4), pages 329-350.
    14. Ahmed Khwaja & Nathan Yang, 2022. "Quantifying the link between employee engagement, and customer satisfaction and retention in the car rental industry," Quantitative Marketing and Economics (QME), Springer, vol. 20(3), pages 275-292, September.
    15. Sanjog Misra & Anne Coughlan & Chakravarthi Narasimhan, 2005. "Salesforce Compensation: An Analytical and Empirical Examination of the Agency Theoretic Approach," Quantitative Marketing and Economics (QME), Springer, vol. 3(1), pages 5-39, January.
    16. Huang, Ming-Hui & Trusov, Michael, 2020. "Customer satisfaction underappreciation: The relation of customer satisfaction to CEO compensation," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 129-150.
    17. Ezlika Ghazali & Bang Nguyen & Dilip S. Mutum & Amrul Asraf Mohd-Any, 2016. "Constructing online switching barriers: examining the effects of switching costs and alternative attractiveness on e-store loyalty in online pure-play retailers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 157-171, May.
    18. Michael Raith, 2008. "Specific knowledge and performance measurement," RAND Journal of Economics, RAND Corporation, vol. 39(4), pages 1059-1079, December.
    19. Andreas Herrmann & Frank Huber & Martin Wricke, 1999. "Die Herausbildung von Zufriedenheits-urteilen bei Alternativenbetrachtung," Schmalenbach Journal of Business Research, Springer, vol. 51(7), pages 677-692, July.
    20. Yusong Wang & David Bell & V. Padmanabhan, 2009. "Manufacturer-owned retail stores," Marketing Letters, Springer, vol. 20(2), pages 107-124, June.
    21. Neil A. Morgan & Lopo Leotte Rego, 2006. "The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Business Performance," Marketing Science, INFORMS, vol. 25(5), pages 426-439, September.
    22. Robert Ridlon & Jiwoong Shin, 2013. "Favoring the Winner or Loser in Repeated Contests," Marketing Science, INFORMS, vol. 32(5), pages 768-785, September.
    23. Gan, Huiqi & Park, Myung S. & Suh, SangHyun, 2020. "Non-financial performance measures, CEO compensation, and firms’ future value," Journal of Business Research, Elsevier, vol. 110(C), pages 213-227.
    24. Eunice Minjoo Kang & Seul Ki Lee, 2022. "The Impact of Monetary Benefits in a Pandemic Situation—Navigating Changes in Customer Loyalty through Negative Switching Barriers in the Hotel Industry," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    25. Steven M. Shugan, 2005. "Brand Loyalty Programs: Are They Shams?," Marketing Science, INFORMS, vol. 24(2), pages 185-193.
    26. Yan Dong & Yuliang Yao & Tony Haitao Cui, 2011. "When Acquisition Spoils Retention: Direct Selling vs. Delegation Under CRM," Management Science, INFORMS, vol. 57(7), pages 1288-1299, July.
    27. Im, Subin & Nakata, Cheryl, 2008. "Crafting an environment to foster integration in new product teams," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 164-172.
    28. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    29. Eitan Gerstner & Barak Libai, 2006. "—Why Does Poor Service Prevail?," Marketing Science, INFORMS, vol. 25(6), pages 601-603, 11-12.
    30. Yu (Jeffrey) Hu & Jiwoong Shin & Zhulei Tang, 2016. "Incentive Problems in Performance-Based Online Advertising Pricing: Cost per Click vs. Cost per Action," Management Science, INFORMS, vol. 62(7), pages 2022-2038, July.
    31. Ittner, Christopher D. & Larcker, David F. & Randall, Taylor, 2003. "Performance implications of strategic performance measurement in financial services firms," Accounting, Organizations and Society, Elsevier, vol. 28(7-8), pages 715-741.
    32. Pingzhong Tang & Hanrui Zhang, 2017. "Unit-sphere games," International Journal of Game Theory, Springer;Game Theory Society, vol. 46(4), pages 957-974, November.
    33. Wei-yu Kevin Chiang, 2012. "Supply Chain Dynamics and Channel Efficiency in Durable Product Pricing and Distribution," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 327-343, April.
    34. Tinglong Dai & Kinshuk Jerath, 2013. "Salesforce Compensation with Inventory Considerations," Management Science, INFORMS, vol. 59(11), pages 2490-2501, November.
    35. Hauser, John R. & Simester, Duncan I. & Wernerfelt, Birger., 1995. "Internal customers and internal suppliers," Working papers 3759-95. WP (Internationa, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    36. Ning, Yu & Yan, Mian & Xu, Su Xiu & Li, Yina & Li, Lixu, 2021. "Shared parking acceptance under perceived network externality and risks: Theory and evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 1-15.
    37. Griffin, Abbie. & Hauser, John R. & Griffin, Abbie, 1994. "Integrating R&D and marketing : a review and analysis of the literature," Working papers #112-94. Working paper (S, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    38. Chanho Song & Sungha Jang & Jennifer Wiggins & Edward Nowlin, 2019. "Does haste always make waste? Service quantity, service quality, and incentives in speed-intensive service firms," Service Business, Springer;Pan-Pacific Business Association, vol. 13(2), pages 289-304, June.
    39. Rachel R. Chen & Eitan Gerstner & Yinghui (Catherine) Yang, 2009. "—Should Captive Sardines Be Compensated? Serving Customers in a Confined Zone," Marketing Science, INFORMS, vol. 28(3), pages 599-608, 05-06.
    40. Chun-Hung (Hugo) Tang & Ji-Eun Lee, 2014. "Employee satisfaction and long-run shareholder returns," The Service Industries Journal, Taylor & Francis Journals, vol. 34(14), pages 1167-1183, October.
    41. Eyal Biyalogorsky & Eitan Gerstner & Barak Libai, 2001. "Customer Referral Management: Optimal Reward Programs," Marketing Science, INFORMS, vol. 20(1), pages 82-95, August.
    42. Olivier Rubel & Ashutosh Prasad, 2016. "Dynamic Incentives in Sales Force Compensation," Marketing Science, INFORMS, vol. 35(4), pages 676-689, July.
    43. Aoudji, Augustin K.N. & Adégbidi, Anselme & Ganglo, Jean C. & Agbo, Valentin & Yêvidé, Armand S.I. & De Cannière, Charles & Lebailly, Philippe, 2011. "Satisfaction across urban consumers of smallholder-produced teak (Tectona grandis L.f.) poles in South Benin," Forest Policy and Economics, Elsevier, vol. 13(8), pages 642-651, October.
    44. Fabio Caldieraro & Anne T. Coughlan, 2009. "Optimal Sales Force Diversification and Group Incentive Payments," Marketing Science, INFORMS, vol. 28(6), pages 1009-1026, 11-12.
    45. Rust, Roland T. & Metters, Richard, 1996. "Mathematical models of service," European Journal of Operational Research, Elsevier, vol. 91(3), pages 427-439, June.
    46. Roland T. Rust & Tuck Siong Chung, 2006. "Marketing Models of Service and Relationships," Marketing Science, INFORMS, vol. 25(6), pages 560-580, 11-12.
    47. Fabio Caldieraro & Anne T. Coughlan, 2007. "Spiffed-Up Channels: The Role of Spiffs in Hierarchical Selling Organizations," Marketing Science, INFORMS, vol. 26(1), pages 31-51, 01-02.
    48. Dmitri Kuksov & Ying Xie, 2010. "Pricing, Frills, and Customer Ratings," Marketing Science, INFORMS, vol. 29(5), pages 925-943, 09-10.
    49. Steven M. Shugan, 2007. "—Causality, Unintended Consequences and Deducing Shared Causes," Marketing Science, INFORMS, vol. 26(6), pages 731-741, 11-12.
    50. Ruth Stock, 2004. "Erfolgsauswirkungen der marktorientierten Gestaltung des Personalmanagements," Schmalenbach Journal of Business Research, Springer, vol. 56(3), pages 237-258, May.
    51. Xiao, Tiaojun & Qi, Xiangtong, 2010. "Strategic wholesale pricing in a supply chain with a potential entrant," European Journal of Operational Research, Elsevier, vol. 202(2), pages 444-455, April.
    52. Maiga, Adam S. & Nilsson, Anders & Jacobs, Fred A., 2013. "Extent of managerial IT use, learning routines, and firm performance: A structural equation modeling of their relationship," International Journal of Accounting Information Systems, Elsevier, vol. 14(4), pages 297-320.
    53. Wagner A. Kamakura & Vikas Mittal & Fernando de Rosa & José Afonso Mazzon, 2002. "Assessing the Service-Profit Chain," Marketing Science, INFORMS, vol. 21(3), pages 294-317, February.
    54. Dhinu Srinivasan & Alex Thevaranjan, 2016. "The role of non-financial measures in controlling myopic activities: the case of hard selling," International Journal of Accounting, Auditing and Performance Evaluation, Inderscience Enterprises Ltd, vol. 12(2), pages 103-130.
    55. Natalie Mizik & Robert Jacobson, 2007. "Myopic Marketing Management: Evidence of the Phenomenon and Its Long-Term Performance Consequences in the SEO Context," Marketing Science, INFORMS, vol. 26(3), pages 361-379, 05-06.
    56. Robert Jacobson & Natalie Mizik, 2009. "The Financial Markets and Customer Satisfaction: Reexamining Possible Financial Market Mispricing of Customer Satisfaction," Marketing Science, INFORMS, vol. 28(5), pages 810-819, 09-10.
    57. Rust, Roland T. & Moorman, Christine & van Beuningen, Jacqueline, 2016. "Quality mental model convergence and business performance," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 155-171.
    58. Daniel H. Simon & Miguel I. Gómez & Edward W. McLaughlin & Dick R. Wittink, 2009. "Employee attitudes, customer satisfaction, and sales performance: assessing the linkages in US grocery stores," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 27-41.
    59. Dutta, Sunil & Reichelstein, Stefan J., 2002. "Leading Indicator Variables, Performance Measurement and Long-Term versus Short-Term Contracts," Research Papers 1756, Stanford University, Graduate School of Business.
    60. Ming-Lu Wu, 2014. "Cross-border comparative studies of service quality and consumer satisfaction: some empirical results," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(1), pages 89-106, June.
    61. Shane Dikolli & Igor Vaysman, 2006. "Contracting on the Stock Price and Forward-Looking Performance Measures," European Accounting Review, Taylor & Francis Journals, vol. 15(4), pages 445-464.
    62. Park, Sohee, 2023. "Customer prospects and pay-performance sensitivity: Evidence from Korea," Research in International Business and Finance, Elsevier, vol. 64(C).
    63. Hauser, John R. & Katz, Gerald M. & International Center for Research on the Management of Technology., 1998. "Metrics : you are what you measure!," Working papers 172-98, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    64. Sabu V.G. & Manoj M., 2020. "The Effect of Employee Desire and Employee Engagement on Organizational Performance: Evidence from ICT Sector in Kerala, India," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(4), pages 500-518, November.

  14. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    See citations under working paper version above.
  15. John R. Hauser, 1988. "Note—Competitive Price and Positioning Strategies," Marketing Science, INFORMS, vol. 7(1), pages 76-91.

    Cited by:

    1. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    2. Ansari, A. & Economides, N. & Steckel, J., 1996. "The Max-Min-Min Principle of product Differentiation," Working Papers 96-10, New York University, Leonard N. Stern School of Business, Department of Economics.
    3. Takeshi Ebina & Noriaki Matsushima, 2017. "Product differentiation and entry timing in a continuous-time spatial competition model with vertical relations," ISER Discussion Paper 1009, Institute of Social and Economic Research, Osaka University.
    4. Stefan Roth, 1999. "Möglichkeiten und Grenzen ökonomischer Positionierungsmodelle," Schmalenbach Journal of Business Research, Springer, vol. 51(3), pages 243-266, March.
    5. Jordi Sintas & Ercilia Álvarez, 2002. "The Consumption of Cultural Products: An Analysis of the Spanish Social Space," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(2), pages 115-138, May.
    6. Yong Liu & Daniel S. Putler & Charles B. Weinberg, 2006. "A Reply to “A Comment on ‘Is Having More Channels Really Better? A Model of Competition Among Commercial Television Broadcasters' ”," Marketing Science, INFORMS, vol. 25(5), pages 543-546, September.
    7. Nicholas Economides & Joel Steckel, "undated". "The Max-Min Principle of Product Differentiation," Networks, Compatibility 94-16, Economics of Networks.
    8. Jonathan D. Bohlmann & Peter N. Golder & Debanjan Mitra, 2002. "Deconstructing the Pioneer's Advantage: Examining Vintage Effects and Consumer Valuations of Quality and Variety," Management Science, INFORMS, vol. 48(9), pages 1175-1195, September.
    9. Palsule-Desai, Omkar D. & Tirupati, Devanath & Shah, Janat, 2015. "Product line design and positioning using add-on services," International Journal of Production Economics, Elsevier, vol. 163(C), pages 16-33.
    10. Raphael Thomadsen, 2007. "Product Positioning and Competition: The Role of Location in the Fast Food Industry," Marketing Science, INFORMS, vol. 26(6), pages 792-804, 11-12.
    11. Martin Peitz, 1997. "Models à La Lancaster and à La Hoteling: When they are the same," Working Papers. Serie AD 1997-02, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    12. Masaaki Kijima & Kei-Ichiro Nakagawa & Takashi Namatame, 2000. "Competitive Price Equilibrium with Consumer Reservation Utility," Computational and Mathematical Organization Theory, Springer, vol. 6(1), pages 7-27, May.
    13. Zhang, Yue, 2015. "Designing a retail store network with strategic pricing in a competitive environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 265-273.
    14. Delre, Sebastiano A. & Panico, Claudio & Wierenga, Berend, 2017. "Competitive strategies in the motion picture industry: An ABM to study investment decisions," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 69-99.
    15. Buechel, Berno & Klein, Jan, 2014. "Do Consumers' Preferences Really Matter? - A Note on Spatial Competition with Restricted Strategies," MPRA Paper 55288, University Library of Munich, Germany.
    16. Shriver, Scott K. & Srinivasan, V. Seenu, 2011. "What If Marketers Put Their Customers ahead of Profits?," Research Papers 2091, Stanford University, Graduate School of Business.
    17. Bloch, Francis & Manceau, Delphine, 1999. "Persuasive advertising in Hotelling's model of product differentiation," International Journal of Industrial Organization, Elsevier, vol. 17(4), pages 557-574, May.
    18. Sajeesh Sajeesh & Song Sang-Young, 2017. "Transaction Utility and Quality Choice," Review of Marketing Science, De Gruyter, vol. 15(1), pages 1-17, June.
    19. S. Sajeesh, 2016. "Influence of market-level and inter-firm differences in costs on product positioning and pricing," Applied Economics Letters, Taylor & Francis Journals, vol. 23(12), pages 888-896, August.
    20. Dmitri Kuksov & Yuanfang Lin, 2010. "Information Provision in a Vertically Differentiated Competitive Marketplace," Marketing Science, INFORMS, vol. 29(1), pages 122-138, 01-02.
    21. Yunchuan Liu & Rajeev K. Tyagi, 2011. "The Benefits of Competitive Upward Channel Decentralization," Management Science, INFORMS, vol. 57(4), pages 741-751, April.
    22. Marks, Ulf G. & Albers, Sönke, 1995. "Experiments in competitive product positioning: An equilibrium analysis," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 364, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    23. J. Miguel Villas-Boas, 2018. "A Dynamic Model of Repositioning," Marketing Science, INFORMS, vol. 37(2), pages 279-293, March.
    24. Caplin, Andrew & Nalebuff, Barry, 1991. "Aggregation and Imperfect Competition: On the Existence of Equilibrium," Econometrica, Econometric Society, vol. 59(1), pages 25-59, January.
    25. Z. Eddie Ning & J. Miguel Villas-Boas, 2022. "Following the Customers: Dynamic Competitive Repositioning," Management Science, INFORMS, vol. 68(2), pages 1002-1018, February.
    26. RHEE, Byong-Duk & DE PALMA, André & FORNELL, Claes & THISSE, Jacques-François, 1992. "Restoring the principle of minimum differentiation in product positioning," LIDAM Reprints CORE 1052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    27. Zheyin (Jane) Gu & Ying Xie, 2013. "Facilitating Fit Revelation in the Competitive Market," Management Science, INFORMS, vol. 59(5), pages 1196-1212, May.
    28. Rajeev K. Tyagi, 2000. "Sequential Product Positioning Under Differential Costs," Management Science, INFORMS, vol. 46(7), pages 928-940, July.
    29. Sudharshan, D. & Ravi Kumar, K. & Gruca, Thomas S., 1995. "NICHER: An approach to identifying defensible product positions," European Journal of Operational Research, Elsevier, vol. 84(2), pages 292-309, July.

  16. John R. Hauser & Birger Wernerfelt, 1988. "Technical Note—Existence and Uniqueness of Price Equilibria in Defender," Marketing Science, INFORMS, vol. 7(1), pages 92-93.

    Cited by:

    1. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.

  17. John R. Hauser & Steven P. Gaskin, 1984. "Application of the “Defender” Consumer Model," Marketing Science, INFORMS, vol. 3(4), pages 327-351.

    Cited by:

    1. Kostas Axarloglou, 2008. "Product line extensions: causes and effects," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 9-21.
    2. Toubia, Olivier & Simester, Duncan & Hauser, John & Dahan, Ely, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Working papers 4279-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    3. Wesson, Tom & De Figueiredo, Joao Neiva, 2001. "The importance of focus to market entrants: A study of microbrewery performance," Journal of Business Venturing, Elsevier, vol. 16(4), pages 377-403, July.
    4. Christian Jaag & Helmut Dietl & Urs Trinkner & Oliver Furst, 2012. "Defending Mail Markets Against New Entrants: An Application of the Defender Model," Chapters, in: Michael A. Crew & Paul R. Kleindorfer (ed.), Multi-Modal Competition and the Future of Mail, chapter 17, Edward Elgar Publishing.
    5. Gallego, Guillermo & Li, Anran & Truong, Van-Anh & Wang, Xinshang, 2020. "Approximation algorithms for product framing and pricing," LSE Research Online Documents on Economics 101983, London School of Economics and Political Science, LSE Library.
    6. Suman Basuroy & Dung Nguyen, 1998. "Multinomial Logit Market Share Models: Equilibrium Characteristics and Strategic Implications," Management Science, INFORMS, vol. 44(10), pages 1396-1408, October.
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    9. John H. Roberts & Charles J. Nelson & Pamela D. Morrison, 2005. "A Prelaunch Diffusion Model for Evaluating Market Defense Strategies," Marketing Science, INFORMS, vol. 24(1), pages 150-164, August.
    10. Barry L. Bayus & William P. Putsis, Jr., 1999. "Product Proliferation: An Empirical Analysis of Product Line Determinants and Market Outcomes," Marketing Science, INFORMS, vol. 18(2), pages 137-153.
    11. Guillermo Gallego & Anran Li & Van-Anh Truong & Xinshang Wang, 2020. "Approximation Algorithms for Product Framing and Pricing," Operations Research, INFORMS, vol. 68(1), pages 134-160, January.

  18. Glen L. Urban & Philip L. Johnson & John R. Hauser, 1984. "Testing Competitive Market Structures," Marketing Science, INFORMS, vol. 3(2), pages 83-112.

    Cited by:

    1. Ravi Anupindi & Maqbool Dada & Sachin Gupta, 1998. "Estimation of Consumer Demand with Stock-Out Based Substitution: An Application to Vending Machine Products," Marketing Science, INFORMS, vol. 17(4), pages 406-423.
    2. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
    3. Sri Duvvuri & Thomas Gruca, 2010. "A Bayesian Multi-Level Factor Analytic Model of Consumer Price Sensitivities Across Categories," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 558-578, September.
    4. Siebert, Ralph Bernd, 2010. "Learning-by-Doing and Cannibalization Effects at Multi-Vintage Firms: Evidence from the Semiconductor Industry," MPRA Paper 24008, University Library of Munich, Germany.
    5. Benjamin Engelstätter & Michael R. Ward, 2018. "Strategic timing of entry: evidence from video games," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(1), pages 1-22, February.
    6. Daniel M. Ringel & Bernd Skiera, 2016. "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data," Marketing Science, INFORMS, vol. 35(3), pages 511-534, May.
    7. Yang Qian & Yuanchun Jiang & Yanan Du & Jianshan Sun & Yezheng Liu, 2020. "Segmenting market structure from multi-channel clickstream data: a novel generative model," Electronic Commerce Research, Springer, vol. 20(3), pages 509-533, September.
    8. Saridakis, Charalampos & Katsikeas, Constantine S. & Angelidou, Sofia & Oikonomidou, Maria & Pratikakis, Polyvios, 2023. "Mining Twitter lists to extract brand-related associative information for celebrity endorsement," European Journal of Operational Research, Elsevier, vol. 311(1), pages 316-332.
    9. Nobuhiko Terui & Masataka Ban & Toshihiko Maki, 2010. "Finding market structure by sales count dynamics—Multivariate structural time series models with hierarchical structure for count data—," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(1), pages 91-107, February.
    10. Maximilian Matthe & Daniel M. Ringel & Bernd Skiera, 2023. "Mapping Market Structure Evolution," Marketing Science, INFORMS, vol. 42(3), pages 589-613, May.
    11. Lee, Yinjin & Bateman, Alexis, 2021. "The competitiveness of fair trade and organic versus conventional coffee based on consumer panel data," Ecological Economics, Elsevier, vol. 184(C).
    12. Park, Namgyoo K. & Cho, Dong-Sung, 1997. "The effect of strategic alliance on performance," Journal of Air Transport Management, Elsevier, vol. 3(3), pages 155-164.
    13. Damangir, Sina & Du, Rex Yuxing & Hu, Ye, 2018. "Uncovering Patterns of Product Co-consideration: A Case Study of Online Vehicle Price Quote Request Data," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 1-17.
    14. Anocha Aribarg & Thomas Otter & Daniel Zantedeschi & Greg M. Allenby & Taylor Bentley & David J. Curry & Marc Dotson & Ty Henderson & Elisabeth Honka & Rajeev Kohli & Kamel Jedidi & Stephan Seiler & X, 2018. "Advancing Non-compensatory Choice Models in Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 82-92, March.
    15. A. Prinzie & D. Van Den Poel, 2005. "Incorporating sequential information into traditional classification models by using an element/position- sensitive SAM," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/292, Ghent University, Faculty of Economics and Business Administration.
    16. Zachary G. Arens & Rebecca W. Hamilton, 2018. "The substitution strategy dilemma: substitute selection versus substitute effectiveness," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 130-146, January.
    17. Oded Netzer & Ronen Feldman & Jacob Goldenberg & Moshe Fresko, 2012. "Mine Your Own Business: Market-Structure Surveillance Through Text Mining," Marketing Science, INFORMS, vol. 31(3), pages 521-543, May.
    18. Peter M. Guadagni & John D. C. Little, 2008. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 27(1), pages 29-48, 01-02.
    19. Urban, Glen L. & Hulland, John S. & Weinberg, Bruce., 1990. "Modeling, categorization, elimination, and consideration for new product forecasting of consumer durables," Working papers 3206-90., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    20. Alzate, Miriam & Arce-Urriza, Marta & Cebollada, Javier, 2022. "Mining the text of online consumer reviews to analyze brand image and brand positioning," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    21. A. Gürhan Kök & Yi Xu, 2011. "Optimal and Competitive Assortments with Endogenous Pricing Under Hierarchical Consumer Choice Models," Management Science, INFORMS, vol. 57(9), pages 1546-1563, February.
    22. Kannan, P. K. & Yim, Chi Kin (Bennett), 2001. "An investigation of the impact of promotions on across-submarket competition," Journal of Business Research, Elsevier, vol. 53(3), pages 137-149, September.
    23. Krishnamurthi, Lakshman & Raj, S. P. & Sivakumar, K., 1995. "Unique inter-brand effects of price on brand choice," Journal of Business Research, Elsevier, vol. 34(1), pages 47-56, September.
    24. Kamalini Ramdas & Mohanbir S. Sawhney, 2001. "A Cross-Functional Approach to Evaluating Multiple Line Extensions for Assembled Products," Management Science, INFORMS, vol. 47(1), pages 22-36, January.
    25. Park, Sehoon & Jain, Dipak & Krishnamurthi, Lakshman, 1998. "A hierarchical elimination modeling approach for market structure analysis," European Journal of Operational Research, Elsevier, vol. 111(2), pages 328-350, December.
    26. Rajeev Kohli & Kamel Jedidi, 2007. "Representation and Inference of Lexicographic Preference Models and Their Variants," Marketing Science, INFORMS, vol. 26(3), pages 380-399, 05-06.

  19. John R. Hauser & Steven M. Shugan, 1983. "Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 2(4), pages 319-360.
    See citations under working paper version above.
  20. John R. Hauser & Kenneth J. Wisniewski, 1982. "Application, Predictive Test, and Strategy Implications for a Dynamic Model of Consumer Response," Marketing Science, INFORMS, vol. 1(2), pages 143-179.

    Cited by:

    1. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    2. Ferreira, Kevin D. & Lee, Chi-Guhn, 2014. "An integrated two-stage diffusion of innovation model with market segmented learning," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 189-201.
    3. Ralf van der Lans & Gerrit van Bruggen & Jehoshua Eliashberg & Berend Wierenga, 2010. "A Viral Branching Model for Predicting the Spread of Electronic Word of Mouth," Marketing Science, INFORMS, vol. 29(2), pages 348-365, 03-04.
    4. Urban, Glen L. & Weinberg, Bruce D. & Hauser, John R., 1994. "Premarket forecasting of really new products," Working papers 3689-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. John H. Roberts & Charles J. Nelson & Pamela D. Morrison, 2005. "A Prelaunch Diffusion Model for Evaluating Market Defense Strategies," Marketing Science, INFORMS, vol. 24(1), pages 150-164, August.

  21. Hauser, John, 1980. "Comments on "Econometric Models for Probabilistic Choice among Products."," The Journal of Business, University of Chicago Press, vol. 53(3), pages 31-34, July.

    Cited by:

    1. David Levine, 2011. "Neuroeconomics?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 58(3), pages 287-305, September.
    2. Steven M. Shugan, 2006. "Editorial: Errors in the Variables, Unobserved Heterogeneity, and Other Ways of Hiding Statistical Error," Marketing Science, INFORMS, vol. 25(3), pages 203-216, 05-06.

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