Consumer decision-making in a multi-generational choice set context

Journal of Business Research

Volumn 53, Issue 3, 2001, Pages 123-136

  Kim, Namwoon ^a   Srivastava, Rajendra K ^b   Han, Jin K ^c  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b EMORY UNIVERSITY   (United States)

^c Korea Development Institute   (South Korea)

Author keywords

Choice; Consumer decision making; Generation; Individual consumer; Purchase incidence

Indexed keywords

EID: 0041870961     PISSN: 01482963     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0148-2963(99)00113-7     Document Type: Article

References (67)

1. Aaker DA Strategic market management. 5th ed. 1998;Wiley, New York.
2. Balcer Y, Lippman SA Technological expectation and adoption of improved technology. J Econ Theory. 24:1984;292-318. (December).
3. Bass FM A new product growth model for consumer durables. Manage Sci. 15:1969;215-227. (January).
4. Bayus BL Accelerating the durable replacement cycle with marketing mix variables. J Prod Innovation Manage. 5:1988;216-226.
5. Bayus BL The consumer durable replacement buyer. J Mark. 55:1991;42-51. (January).
6. Bayus BL The dynamic pricing of next generation consumer durables. Mark Sci. 11:1992;251-265. (Summer).
7. Bayus BL High-definition television: assessing demand forecasts for a next generation consumer durable. Manage Sci. 39:1993;1319-1333. (November).
8. Bayus BL, Gupta S An empirical analysis of consumer durable replacement intentions. Int J Res Mark. 9:1992;257-267. (August).
9. Blackman AW The market dynamics of technological substitutions. Technol Forecast Soc Change. 6:1974;41-63.
10. Bretschneider SI, Mahajan V Adaptive technological substitution models. Technol Forecast Soc Change. 18:1980;129-139. (October).
11. Bridges E, Yim CK, Briesch RA A high-tech product market share model with customer expectations. Mark Sci. 14:1995;61-81. (Winter).
12. Brockhoff KK, Rao VR Toward a demand forecasting model for preannounced new technological products. J Eng Technol Manage. 10:1993;211-228.
13. Carpenter GS, Nakamoto K Consumer preference formation and pioneering advantage. J Mark Res. 26:1989;285-298. (August).
14. Carpenter GS, Nakamoto K Competitive strategies for late entry into a market with a dominant brand. Manage Sci. 36:1990;1268-1278. (October).
15. Chatterjee R, Eliashberg J The innovation diffusion process in a heterogeneous population: a micro modeling approach. Manage Sci. 36:1990;1057-1079. (September).
16. Dalal SR, Klein RW A flexible class of discrete choice models. Mark Sci. 35:1989;232-251. (Summer).
17. De Jonge L, van Veen WM A micro model of purchasing behavior for consumer durable goods, Part II. Eur Res. 4:1976;129-139. (May).
18. Doyle P, Saunders J The lead effect of marketing decisions. J Mark Res. 22:1985;54-65. (February).
19. Eliashberg J, Robertson TS New product preannouncing behavior: a market signaling study. J Mark Res. 25:1988;282-292. (August).
20. Esser P, Leruth L Marketing compatible, yet differentiated, products: in search of competitive equilibria when network externalities are at work. Int J Res Mark. 5(4):1988;251-270.
21. Fisher JC, Pry RH A simple substitution model of technological change. Technol Forecast Soc Change. 3:1971;75-88.
22. Gatignon H, Robertson TS A propositional inventory for new diffusion research. J Consum Res. 11:1985;849-867. (March).
23. Gordon RJ The measurement of durable goods prices. 1990;University of Chicago Press, Chicago, IL.
24. Guadagni PM, Little JDC A logit model of brand choice calibrated on scanner data. Mark Sci. 2:1983;203-238. (Summer).
25. Hahn M, Park S, Krishnamurthi L, Zoltners A Analysis of new product diffusion using a four-segment trial-repeat model. Mark Sci. 13:1994;224-247. (Summer).
26. Helsen K, Schmittlein DC Analyzing duration times in marketing: evidence for the effectiveness of hazard rate models. Mark Sci. 4:1993;395-414. (Fall).
27. Hitt L, Brynjolfsson E The three faces of IT value: theory and evidence. Proc 15th Int Conf Inf Syst. 1994;263-277.
28. Horsky D A diffusion model incorporating product benefits, price, income, and information. Mark Sci. 9:1990;342-365. (Fall).
29. Hsiao C Analysis of panel data. 1986;Cambridge Univ. Press, New York.
30. Jones JM, Zufryden FS Relating deal purchase and consumer characteristics to repeat purchase probability. J Mark Res Soc. 23:1981;84-99. (April).
31. Kahneman D, Tversky A Prospect theory: an analysis of decision under risk. Econometrica. 47:1979;263-291. (March).
32. Kalish S A new product adoption model with pricing, advertising, and uncertainty. Manage Sci. 31:1985;1569-1585. (December).
33. Kamakura WA, Balasubramanian SK Long-term forecasting with innovation diffusion models: the impact of replacement purchase. J Forecast. 6(1):1987;1-19.
34. Kameda T, Davis JH The function of the reference point in individual and group risk decision making. Organ Behav Hum Decis Processes. 46:1990;55-76. (June).
35. Katz ML, Shapiro C Network externalities, competition, and compatibility. Am Econ Rev. 75:1985;424-440. (June).
36. Katz ML, Shapiro C Technology adoption in the presence of network externalities. J Polit Econ. 94(4):1986;822-841.
37. Kennedy P A guide to econometrics. 2nd ed. 1989;MIT Press, Cambridge, MA.
38. Kotler P Marketing management - analysis, planning, implementation, and control. 6th ed. 1988;Prentice-Hall, Englewood Cliffs, NJ.
39. Lattin JM, Roberts, JH. Modeling the Role of Risk-Adjusted Utility in the Diffusion of Innovation. Working Paper #1019. Stanford University, 1988.
40. Levi M Errors in the variables bias in the presence of correctly measured variables. Econometrica. 41:1973;985-986.
41. Lilien GL, Rao AG, Kalish S Bayesian estimation and control of detailing effort in a repeat purchase diffusion environment. Manage Sci. 27:1981;493-506. (May).
42. Lilien GL, Yoon E The timing of competitive market entry: an exploratory study of new industrial products. Manage Sci. 36:1990;568-585. (May).
43. Mahajan V, Muller E Timing, diffusion, and substitution of successive generations of technological innovations: the IBM mainframe case. Technol Forecast Soc Change. 51:1996;109-132. (February).
44. Mahajan V, Muller E, Bass FM New product diffusion models in marketing: a review and directions for research. J Mark. 54:1990;1-26. (January).
45. Mahajan V, Muller E, Kerin RA Introduction strategy for new products with positive and negative word-of-mouth. Manage Sci. 30:1984;1389-1404. (December).
46. Mahajan V, Muller E, Srivastava RK Determination of adopter categories by using innovation diffusion models. J Mark Res. 27:1990;37-50. (February).
47. Mahajan V, Wind Y, Sharma S An approach to repeat purchase diffusion models. Murphy PE AMA proceeding. series 49:1988;442-446 American Marketing Association, Chicago, IL.
48. Makridakis S, Wheelwright SC, McGee VE Forecasting: methods and applications. 2nd ed. 1983;Wiley, New York.
49. Manrai AK Mathematical models of brand choice behavior. Eur J Oper Res. 82:1995;1-17.
50. McCallum BT Relative asymptotic bias from errors of omission and measurement. Econometrica. 40:1972;757-758.
51. Norton JA, Bass FM A diffusion theory model of adoption and substitution for successive generations of high technology products. Manage Sci. 33:1987;1069-1086. (September).
52. Phister M Data processing technology and economics. 2nd ed. 1979;Santa Monica Publishing, Santa Monica, CA.
53. Rao AG, Yamada M Forecasting with a repeat purchase diffusion model. Manage Sci. 34:1988;734-752. (June).
54. Roberts JH, Urban GL Modeling multiattribute utility, risk, and belief dynamics for new consumer durable brand choice. Manage Sci. 34:1988;167-185. (February).
55. Rogers EM Diffusion of innovations. 3rd ed. 1983;Free Press, New York.
56. Shurmer M An investigation into sources of network externalities in the packaged PC software market. Inf Econ Policy. 5:1993;231-251. (October).
57. Sinha RK, Chandrashekaran M A split hazard model for analyzing the diffusion of innovations. J Mark Res. 29:1992;116-127. (February).
58. 2 Institute, University of Texas at Austin, Austin, TX.
59. Stern MO, Ayres RU, Shapanka A A model for forecasting the substitution of one technology for another. Technol Forecast Soc Change. 7:1975;57-79.
60. Tellis GJ Advertising exposure, loyalty, and brand purchase: a two-stage model of choice. J Mark Res. 25:1988;134-144. (May).
61. Tellis GJ, Zufryden FS Tackling the retailer decision maze: which brands to discount, how much, when and why? Mark Sci. 14(3):1995;271-299. (Part 1).
62. Thum M Network externalities, technological progress, and the competition of market contracts. Int J Ind Organ. 12(2):1994;269-289.
63. Urban GL, Hulland JS, Weinberg BD Premarket forecasting for new consumer durable goods: modeling, categorization, elimination, and consideration phenomena. J Mark. 57:1993;47-63. (April).
64. Weerahandi S, Dalal SR A choice-based approach to the diffusion of a service: forecasting fax penetration by market segments. Mark Sci. 11:1992;39-53. (Winter).
65. Weiss AM, John G Leapfrogging behavior and the purchase of industrial innovations. Marketing Science Institute Working Paper. 1989;89-110. (July).
66. Wilson LO, Norton JA Optimal entry time for a product line extension. Mark Sci. 9:1989;1-17. (Winter).
67. Zaltman G, Duncan R, Holbek J Innovations and organizations. 1973;Wiley, New York.