IDEAS home Printed from https://ideas.repec.org/p/mit/sloanp/2513.html
   My bibliography  Save this paper

Premarket forecasting of really new products

Author

Listed:
  • Urban, Glen L.
  • Weinberg, Bruce D.
  • Hauser, John R.

Abstract

Includes bibliographical references (p. 23-27).

Suggested Citation

  • 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.
    • Handle: RePEc:mit:sloanp:2513
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/1721.1/2513
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Punj, Girish N & Staelin, Richard, 1983. "A Model of Consumer Information Search Behavior for New Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 366-380, March.
    2. David C. Schmittlein & Vijay Mahajan, 1982. "Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance," Marketing Science, INFORMS, vol. 1(1), pages 57-78.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. Hubert Gatignon & Jehoshua Eliashberg & Thomas S. Robertson, 1989. "Modeling Multinational Diffusion Patterns: An Efficient Methodology," Marketing Science, INFORMS, vol. 8(3), pages 231-247.
    5. 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.
    6. John H. Roberts & Glen L. Urban, 1988. "Modeling Multiattribute Utility, Risk, and Belief Dynamics for New Consumer Durable Brand Choice," Management Science, INFORMS, vol. 34(2), pages 167-185, February.
    7. Dipak Jain & Vijay Mahajan & Eitan Muller, 1991. "Innovation Diffusion in the Presence of Supply Restrictions," Marketing Science, INFORMS, vol. 10(1), pages 83-90.
    8. Peter J. Lenk & Ambar G. Rao, 1990. "New Models from Old: Forecasting Product Adoption by Hierarchical Bayes Procedures," Marketing Science, INFORMS, vol. 9(1), pages 42-53.
    9. Furse, David H & Punj, Girish N & Stewart, David W, 1984. "A Typology of Individual Search Strategies among Purchasers of New Automobiles," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(4), pages 417-431, March.
    10. Joe A. Dodson, Jr. & Eitan Muller, 1978. "Models of New Product Diffusion Through Advertising and Word-of-Mouth," Management Science, INFORMS, vol. 24(15), pages 1568-1578, November.
    11. Edgar Pessemier & Philip Burger & Richard Teach & Douglas Tigert, 1971. "Using Laboratory Brand Preference Scales to Predict Consumer Brand Purchases," Management Science, INFORMS, vol. 17(6), pages 371-385, February.
    12. Hauser, John R. & Wisniewski, Kenneth J., 1981. "Application, predictive test, and strategy implications for a dynamic model of consumer response to marketing," Working papers 1244-81., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    13. F. Thomas Juster, 1966. "Consumer Buying Intentions and Purchase Probability: An Experiment in Survey Design," NBER Books, National Bureau of Economic Research, Inc, number just66-2.
    14. Lewis G. Pringle & R. Dale Wilson & Edward I. Brody, 1982. "News: A Decision-Oriented Model for New Product Analysis and Forecasting," Marketing Science, INFORMS, vol. 1(1), pages 1-29.
    15. Charlotte H. Mason, 1990. "New Product Entries and Product Class Demand," Marketing Science, INFORMS, vol. 9(1), pages 58-73.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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, Department of Management, Università Ca' Foscari Venezia.
    2. 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.
    3. 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.
    4. Brian Mennecke & Anthony Townsend & Dermot J. Hayes & Steven M. Lonergan, 2006. "Study of the Factors that Influence Consumer Attitudes Toward Beef Products Using the Conjoint Market Analysis Tool, A," Center for Agricultural and Rural Development (CARD) Publications 06-wp425, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Christina Guenther, 2009. "Pioneer burnout: Radical product innovation and firm capabilities," Papers on Economics and Evolution 2009-22, Philipps University Marburg, Department of Geography.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Peters, Kay & Albers, Sönke & Kumar, V., 2008. "Is there more to international Diffusion than Culture? An investigation on the Role of Marketing and Industry Variables," EconStor Preprints 27678, ZBW - Leibniz Information Centre for Economics.
    3. Vardit Landsman & Moshe Givon, 2010. "The diffusion of a new service: Combining service consideration and brand choice," Quantitative Marketing and Economics (QME), Springer, vol. 8(1), pages 91-121, March.
    4. Hauser, John R. & Urban, Glen L. & Weinberg, Bruce D., 1992. "Time flies when you're having fun : how consumers allocate their time when evaluating products," Working papers 3439-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Lee, Hakyeon & Kim, Sang Gook & Park, Hyun-woo & Kang, Pilsung, 2014. "Pre-launch new product demand forecasting using the Bass model: A statistical and machine learning-based approach," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 49-64.
    6. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
    7. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    8. Islam, Towhidul & Fiebig, Denzil G. & Meade, Nigel, 2002. "Modelling multinational telecommunications demand with limited data," International Journal of Forecasting, Elsevier, vol. 18(4), pages 605-624.
    9. 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.
    10. Jehoshua Eliashberg & Jedid-Jah Jonker & Mohanbir S. Sawhney & Berend Wierenga, 2000. "MOVIEMOD: An Implementable Decision-Support System for Prerelease Market Evaluation of Motion Pictures," Marketing Science, INFORMS, vol. 19(3), pages 226-243, January.
    11. Nikolaos E. Petridis & Georgios Digkas & Leonidas Anastasakis, 2020. "Factors affecting innovation and imitation of ICT in the agrifood sector," Annals of Operations Research, Springer, vol. 294(1), pages 501-514, November.
    12. Laciana, Carlos E. & Rovere, Santiago L. & Podestá, Guillermo P., 2013. "Exploring associations between micro-level models of innovation diffusion and emerging macro-level adoption patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1873-1884.
    13. Francesco Bogliacino & Giorgio Rampa, 2012. "Quality risk aversion, conjectures, and new product diffusion," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 1081-1115, November.
    14. Haris Krijestorac & Rajiv Garg & Vijay Mahajan, 2020. "Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls," Information Systems Research, INFORMS, vol. 31(2), pages 449-472, June.
    15. Teck-Hua Ho & Sergei Savin & Christian Terwiesch, 2002. "Managing Demand and Sales Dynamics in New Product Diffusion Under Supply Constraint," Management Science, INFORMS, vol. 48(2), pages 187-206, February.
    16. Olivier Toubia & Jacob Goldenberg & Rosanna Garcia, 2014. "Improving Penetration Forecasts Using Social Interactions Data," Management Science, INFORMS, vol. 60(12), pages 3049-3066, December.
    17. Rajkumar Venkatesan & Trichy V. Krishnan & V. Kumar, 2004. "Evolutionary Estimation of Macro-Level Diffusion Models Using Genetic Algorithms: An Alternative to Nonlinear Least Squares," Marketing Science, INFORMS, vol. 23(3), pages 451-464, August.
    18. Debabrata Talukdar & K. Sudhir & Andrew Ainslie, 2002. "Investigating New Product Diffusion Across Products and Countries," Marketing Science, INFORMS, vol. 21(1), pages 97-114, February.
    19. Gelper, Sarah & Stremersch, Stefan, 2014. "Variable selection in international diffusion models," International Journal of Research in Marketing, Elsevier, vol. 31(4), pages 356-367.
    20. Venkatesan, Rajkumar & Kumar, V., 2002. "A genetic algorithms approach to growth phase forecasting of wireless subscribers," International Journal of Forecasting, Elsevier, vol. 18(4), pages 625-646.

    More about this item

    Keywords

    HD28 .M414 no.3689-; 94;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mit:sloanp:2513. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: None (email available below). General contact details of provider: https://edirc.repec.org/data/ssmitus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.