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The Value Priority Hypotheses for Consumer Budget Plans

Citations

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Cited by:

  1. Dan Zhou & Zhong Yao, 2015. "Optimal Referral Reward Considering Customer’s Budget Constraint," Future Internet, MDPI, vol. 7(4), pages 1-14, December.
  2. Healey, John & Moe, Wendy W., 2016. "The effects of installed base innovativeness and recency on content sales in a platform-mediated market," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 246-260.
  3. A. Prinzie & D. Van Den Poel, 2003. "Investigating Purchasing Patterns for Financial Services using Markov, MTD and MTDg Models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/213, Ghent University, Faculty of Economics and Business Administration.
  4. Pierre Volle, 2007. "Les arbitrages budgétaires des consommateurs : bilan critique des connaissances et perspectives de recherche," Post-Print halshs-00164833, HAL.
  5. Brady, Michael K. & Robertson, Christopher J. & Cronin, J. Joseph, 2001. "Managing behavioral intentions in diverse cultural environments: an investigation of service quality, service value, and satisfaction for American and Ecuadorian fast-food customers," Journal of International Management, Elsevier, vol. 7(2), pages 129-149.
  6. Dost, Florian & Geiger, Ingmar, 2017. "Value-based pricing in competitive situations with the help of multi-product price response maps," Journal of Business Research, Elsevier, vol. 76(C), pages 219-236.
  7. 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.
  8. Sato, Kimitoshi, 2019. "Price Trends and Dynamic Pricing in Perishable Product Market Consisting of Superior and Inferior Firms," European Journal of Operational Research, Elsevier, vol. 274(1), pages 214-226.
  9. Luiz Antonio Slongo & Carlos Sérgio Valdez Saldanha & Syed H. Akhter, 2014. "Low-Income Consumers in Brazil: Nuances of a Market That Can No Longer Be Ignored," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 4(10), pages 485-505.
  10. Dost, Florian & Wilken, Robert, 2012. "Measuring willingness to pay as a range, revisited: When should we care?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 148-166.
  11. Christian Hildebrand & Gerald Häubl & Andreas Herrmann & Jan R. Landwehr, 2013. "When Social Media Can Be Bad for You: Community Feedback Stifles Consumer Creativity and Reduces Satisfaction with Self-Designed Products," Information Systems Research, INFORMS, vol. 24(1), pages 14-29, March.
  12. John Hauser, 2011. "A marketing science perspective on recognition-based heuristics (and the fast-and-frugal paradigm)," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(5), pages 396-408, July.
  13. repec:cup:judgdm:v:6:y:2011:i:5:p:396-408 is not listed on IDEAS
  14. Daniel Friedman & József Sákovics, 2015. "Tractable consumer choice," Theory and Decision, Springer, vol. 79(2), pages 333-358, September.
  15. Yalç{i}n Akçay & Harihara Prasad Natarajan & Susan H. Xu, 2010. "Joint Dynamic Pricing of Multiple Perishable Products Under Consumer Choice," Management Science, INFORMS, vol. 56(8), pages 1345-1361, August.
  16. Olivier Toubia & John R. Hauser, 2007. "—On Managerially Efficient Experimental Designs," Marketing Science, INFORMS, vol. 26(6), pages 851-858, 11-12.
  17. Eloy Gil-Cordero & Francisco Javier Rondán-Cataluña & Daniel Sigüenza-Morales, 2020. "Private Label and Macroeconomic Indicators: Europe and USA," Administrative Sciences, MDPI, vol. 10(4), pages 1-17, November.
  18. Friedman, Daniel & Sákovics, József, 2011. "The marginal utility of money: A modern Marshallian approach to consumer choice," SIRE Discussion Papers 2011-61, Scottish Institute for Research in Economics (SIRE).
  19. Tully, Stephanie M. & Winer, Russell S., 2014. "The Role of the Beneficiary in Willingness to Pay for Socially Responsible Products: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 255-274.
  20. Urban, Glen L. & Roberts, John H. & Hauser, John R., 1986. "Prelaunch forecasting of new automobiles : models and implementation," Working papers 1820-86., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  21. Bramh Dev Sharma, 2014. "Residential Estate Valuation Index (REVI): A Consumer Perspective," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 39(3), pages 365-380, August.
  22. 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.
  23. Brida, Juan Gabriel & Scuderi, Raffaele, 2012. "Determinants of tourist expenditure: a review of microeconometric models," MPRA Paper 38468, University Library of Munich, Germany.
  24. 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.
  25. Prinzie, Anita & Van den Poel, Dirk, 2006. "Investigating purchasing-sequence patterns for financial services using Markov, MTD and MTDg models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 710-734, May.
  26. A. Prinzie & D. Van Den Poel, 2007. "Predicting home-appliance acquisition sequences: Markov/Markov for Discrimination and survival analysis for modeling sequential information in NPTB models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/442, Ghent University, Faculty of Economics and Business Administration.
  27. Verhoef, P.C. & Donkers, A.C.D., 2001. "Predicting Customer Potential Value: an application in the insurance industry," ERIM Report Series Research in Management ERS-2001-01-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  28. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
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