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Modeling Preference and Structural Heterogeneity in Consumer Choice

Citations

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Cited by:

  1. Feng, Bo & Mao, Zhaofang & Li, Hui, 2021. "Choices for competing service providers with heterogeneous customers: Traditional versus opaque sales modes," Omega, Elsevier, vol. 98(C).
  2. Paas, L.J. & Bijmolt, T.H.A. & Vermunt, J.K., 2004. "Extending dynamic segmentation with lead generation : A latent class Markov analysis of financial product portfolios," Discussion Paper 2004-1, Tilburg University, Center for Economic Research.
  3. Swait, Joffre, 2009. "Choice models based on mixed discrete/continuous PDFs," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 766-783, August.
  4. Y Hayashi & M-H Hsieh & R Setiono, 2009. "Predicting consumer preference for fast-food franchises: a data mining approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1221-1229, September.
  5. Lim, Jooyoung & Hahn, Minhi, 2020. "Regulatory focus and decision rules: Are prevention-focused consumers regret minimizers?," Journal of Business Research, Elsevier, vol. 120(C), pages 343-350.
  6. Dellaert, B.G.C. & Arentze, T. & Bierlaire, M. & Borgers, A. & Timmermans, H.J.P., 1997. "Investigating consumers' tendency to combine multiple shopping purposes and destinations," Discussion Paper 1997-94, Tilburg University, Center for Economic Research.
  7. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2011. "A latent class approach to tourists’ length of stay," Tourism Management, Elsevier, vol. 32(3), pages 555-563.
  8. Mohiuddin, Hossain & Fitch, Dillon & Handy, Susan, 2022. "Examining Market Segmentation to Increase Bike-Share Use: The Case of the Greater Sacramento Region," Institute of Transportation Studies, Working Paper Series qt71h6g0td, Institute of Transportation Studies, UC Davis.
  9. Paas, L.J. & Bijmolt, T.H.A. & Vermunt, J.K., 2004. "Extending dynamic segmentation with lead generation : A latent class Markov analysis of financial product portfolios," Other publications TiSEM 5c26b098-ff27-42d1-a539-e, Tilburg University, School of Economics and Management.
  10. Kai-Lung Hui, 2004. "Product Variety Under Brand Influence: An Empirical Investigation of Personal Computer Demand," Management Science, INFORMS, vol. 50(5), pages 686-700, May.
  11. Dennis Fok & Richard Paap & Philip Hans Franses, 2014. "Incorporating Responsiveness to Marketing Efforts in Brand Choice Modeling," Econometrics, MDPI, vol. 2(1), pages 1-25, February.
  12. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
  13. Ashish Arora & Wesley M. Cohen & Colleen M. Cunningham, 2018. "Inventive Capabilities in the Division of Innovative Labor," NBER Working Papers 25051, National Bureau of Economic Research, Inc.
  14. Al-Abdulkader Ahmed M. & Al-Kahtani Safar H. & Ismaiel, Sobhy M. & Elhendi Ahmed M. & Saad Ali I. & Alamri Yosef A. & Al-Dakhil Abdullah I., 2016. "Enhancing Marketing Efficiency of the Saudi Dates at the National and International Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(8), pages 1-53, August.
  15. González-Benito, Óscar & Martínez-Ruiz, María Pilar & Mollá-Descals, Alejandro, 2009. "Using store level scanner data to improve category management decisions: Developing positioning maps," European Journal of Operational Research, Elsevier, vol. 198(2), pages 666-674, October.
  16. Bombaij, Nick, 2021. "Effectiveness of loyalty programs," Other publications TiSEM 095c506d-5b5c-4ea3-9b41-a, Tilburg University, School of Economics and Management.
  17. Maxim Sinitsyn, 2016. "Managing Price Promotions Within a Product Line," Marketing Science, INFORMS, vol. 35(2), pages 304-318, March.
  18. Chidmi, Benaissa & Lopez, Rigoberto A. & Cotterill, Ronald W., 2005. "A Supermarket-Level Analysis of Demand for Breakfast Cereals: A Random Coefficients Approach," 2005 Annual meeting, July 24-27, Providence, RI 19236, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  19. Papola, Andrea, 2016. "A new random utility model with flexible correlation pattern and closed-form covariance expression: The CoRUM," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 80-96.
  20. Swait, Joffre & Bernardino, Adriana, 2000. "Distinguishing taste variation from error structure in discrete choice data," Transportation Research Part B: Methodological, Elsevier, vol. 34(1), pages 1-15, January.
  21. Greg M. Allenby & Thomas S. Shively & Sha Yang & Mark J. Garratt, 2004. "A Choice Model for Packaged Goods: Dealing with Discrete Quantities and Quantity Discounts," Marketing Science, INFORMS, vol. 23(1), pages 95-108, June.
  22. Minjung Kyung & Ju-Hyun Park & Ji Yeh Choi, 2022. "Bayesian Mixture Model of Extended Redundancy Analysis," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 946-966, September.
  23. Tinessa, Fiore & Marzano, Vittorio & Papola, Andrea, 2020. "Mixing distributions of tastes with a Combination of Nested Logit (CoNL) kernel: Formulation and performance analysis," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 1-23.
  24. Tinessa, Fiore, 2021. "Closed-form random utility models with mixture distributions of random utilities: Exploring finite mixtures of qGEV models," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 262-288.
  25. Heungsun Hwang & Wayne Desarbo & Yoshio Takane, 2007. "Fuzzy Clusterwise Generalized Structured Component Analysis," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 181-198, June.
  26. Narine Yegoryan & Daniel Guhl & Friederike Paetz, 2023. "When Zeros Count: Confounding in Preference Heterogeneity and Attribute Non-attendance," Rationality and Competition Discussion Paper Series 482, CRC TRR 190 Rationality and Competition.
  27. Kannan, P. K., 2004. "Commentary on "Understanding Brand Performance Measures: Using Dirichlet Benchmarks"," Journal of Business Research, Elsevier, vol. 57(12), pages 1326-1328, December.
  28. Heungsun Hwang & Hec Montréal & William Dillon & Yoshio Takane, 2006. "An Extension of Multiple Correspondence Analysis for Identifying Heterogeneous Subgroups of Respondents," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 161-171, March.
  29. Nobuhiko Terui & Shohei Hasegawa & Greg M. Allenby, 2015. "A Threshold Model for Discontinuous Preference Change and Satiation," TMARG Discussion Papers 122, Graduate School of Economics and Management, Tohoku University.
  30. Ravi Bapna & Paulo Goes & Kwok Kee Wei & Zhongju Zhang, 2011. "A Finite Mixture Logit Model to Segment and Predict Electronic Payments System Adoption," Information Systems Research, INFORMS, vol. 22(1), pages 118-133, March.
  31. Michaela Draganska & Dipak C. Jain, 2006. "Consumer Preferences and Product-Line Pricing Strategies: An Empirical Analysis," Marketing Science, INFORMS, vol. 25(2), pages 164-174, 03-04.
  32. Neumann, Nico & Böckenholt, Ulf, 2014. "A Meta-analysis of Loss Aversion in Product Choice," Journal of Retailing, Elsevier, vol. 90(2), pages 182-197.
  33. Boztuğ, Yasemin & Hildebrandt, Lutz, 2005. "An empirical test of theories of price valuation using a semiparametric approach, reference prices, and accounting for heterogeneity," SFB 649 Discussion Papers 2005-057, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  34. Moon, Sangkil & Voss, Glenn, 2009. "How do price range shoppers differ from reference price point shoppers?," Journal of Business Research, Elsevier, vol. 62(1), pages 31-38, January.
  35. Pilli, Luis & Swait, Joffre & Mazzon, José Afonso, 2022. "Jeopardizing brand profitability by misattributing process heterogeneity to preference heterogeneity," Journal of choice modelling, Elsevier, vol. 43(C).
  36. Manrai, Ajay K. & Andrews, Rick L., 1998. "Two-stage discrete choice models for scanner panel data: An assessment of process and assumptions," European Journal of Operational Research, Elsevier, vol. 111(2), pages 193-215, December.
  37. Wen, Chieh-Hua & Wang, Wei-Chung & Fu, Chiang, 2012. "Latent class nested logit model for analyzing high-speed rail access mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 545-554.
  38. Kim, Pielah & Deng, Xiaoyan & Unnava, Rao, 2020. "In the eye of the beholder: Cross-pollination between art-infused products and retail spaces," Journal of Business Research, Elsevier, vol. 117(C), pages 302-311.
  39. Heungsun Hwang & Marc Tomiuk, 2010. "Fuzzy clusterwise quasi-likelihood generalized linear models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(4), pages 255-270, December.
  40. Swait, Joffre & Brigden, Neil & Johnson, Richard D., 2014. "Categories shape preferences: A model of taste heterogeneity arising from categorization of alternatives," Journal of choice modelling, Elsevier, vol. 13(C), pages 3-23.
  41. Groznik, Ana & Heese, H. Sebastian, 2010. "Supply chain interactions due to store-brand introductions: The impact of retail competition," European Journal of Operational Research, Elsevier, vol. 203(3), pages 575-582, June.
  42. Hu, Wuyang & Adamowicz, Wiktor L. & Veeman, Michele M., 2004. "Decomposing Unobserved Choice Variability In The Presence Of Consumers' Taste Heterogeneity," 2004 Annual meeting, August 1-4, Denver, CO 19954, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  43. González-Benito, Óscar, 2004. "Random effects choice models: seeking latent predisposition segments in the context of retail store format selection," Omega, Elsevier, vol. 32(2), pages 167-177, April.
  44. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2015. "Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management," Marketing Science, INFORMS, vol. 34(5), pages 702-721, September.
  45. Zhang, Xu & Goddard, Ellen W., 2010. "Analysis of Value-Added Meat Product Choice Behaviour by Canadian Households," Project Report Series 99703, University of Alberta, Department of Resource Economics and Environmental Sociology.
  46. Mohiuddin, Hossain & Fitch-Polse, Dillon T. & Handy, Susan L., 2024. "Examining market segmentation to increase bike-share use and enhance equity: The case of the greater Sacramento region," Transport Policy, Elsevier, vol. 145(C), pages 279-290.
  47. repec:hum:wpaper:sfb649dp2005-057 is not listed on IDEAS
  48. Kacen, Jacqueline J. & Hess, James D. & Walker, Doug, 2012. "Spontaneous selection: The influence of product and retailing factors on consumer impulse purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 578-588.
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