Quality-adjusted price comparison of non-homogeneous products across Internet retailers

International Journal of Research in Marketing

Volumn 26, Issue 3, 2009, Pages 189-196

  Kamakura, Wagner A ^a   Moon, Sangkil ^b  

^a DUKE UNIVERSITY   (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Assortment quality; Information presentation; Information search strategy; Internet retailing; Non homogeneous products; Price efficiency; Stochastic frontier model

Indexed keywords

EID: 67651160338     PISSN: 01678116     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijresmar.2009.03.004     Document Type: Article

References (48)

1. Aigner D.C., Lovell A.K., and Schmidt P. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6 (1977) 21-37
2. Bakos J.Y. Reducing buyer search costs: Implications for electronic marketplaces. Management Science 43 12 (1997) 1676-1692
3. Bergey P.K., and Moon S. Conditional efficiency, operational risk and electronic ticket pricing strategies for the airline industry. International Journal of Electronic Marketing and Retailing 2 3 (2009) 239-255
4. Berndt E.R. The practice of econometrics: Classic and contemporary (1991), Addison-Wesley Publishing Company, Reading, Massachusetts
5. Bettman J.R., and Kakkar P. Effects of information presentation format on consumer information acquisition strategies. Journal of Consumer Research 3 March (1977) 233-240
6. Brown J.R., and Goolsbee A. Does the Internet make markets more competitive? Evidence from the life insurance industry. Journal of Political Economy 110 5 (2002) 481-507
7. Brucks M. Search monitor: An approach for computer-controlled experiments involving consumer information search. Journal of Consumer Research 15 1 (1988) 117-121
8. Brynjolfsson E., and Smith M.D. Frictionless commerce? A comparison of Internet and conventional retailers. Management Science 46 4 (2000) 565-585
9. Card S.K., Moran T.P., and Newell A. The psychology of human-computer interaction (1983), Lawrence Erlbaum Associates, Hillsdale, NJ
10. Clemons E., Hann I., and Hitt L.M. Price dispersion and differentiation in online travel: An empirical investigation. Management Science 48 4 (2002) 534-549
11. Degeratu A., Rangaswamy A., and Wu J. Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. International Journal of Research in Marketing 17 (2000) 55-78
12. Desiraju R., and Shugan S.M. Strategic service pricing and yield management. Journal of Marketing 63 January (1999) 44-56
13. Dhar R. Consumer preference for a no-choice option. Journal of Consumer Research 24 September (1997) 215-231
14. Epple D. Hedonic prices and implicit markets: Estimating demand and supply functions for differentiated products. Journal of Political Economy 95 1 (1987) 59-80
15. Estelami H., Lehmann D.R., and Holden A.C. Macro-economic determinants of consumer price knowledge: A meta-analysis of four decades of research. International Journal of Research in Marketing 18 (2001) 341-355
16. Fried H.O., Lovell A.K., and Schmidt S.S. The measurement of productive efficiency: Techniques and applications (1993), Oxford Press, New York, NY
17. Greene W.H. Econometric analysis. 5th Ed. (2003), Prentice Hall
18. Hjort-Andersen C. The concept of quality and the efficiency of markets for consumer products. Journal of Consumer Research 11 (1984) 708-718
19. Hoque A.Y., and Lohse G.L. An information search cost perspective for designing interfaces for electronic commerce. Journal of Marketing Research 36 3 (1999) 387-394
20. Jondrow J.C., Lovell A.K., Materov I.S., and Schmidt P. On the estimation of technical inefficiency in the stochastic frontier product function model. Journal of Econometrics 19 (1982) 233-238
21. Kalita J.K. Measuring product market efficiency: A new methodology. Marketing Letters 5 1 (1994) 77-89
22. Kamakura W.A., Ratchford B., and Agrawal J. Measuring market efficiency and welfare loss. Journal of Consumer Research 15 (1988) 289-302
23. Kannan P.K., and Kopalle P.K. Dynamic pricing on the Internet: Importance and implications for consumer behavior. International Journal of Electronic Commerce 5 3 (2001) 63-83
24. Kardes F.R., and Kalyanaram G. Order-of-entry effects on consumer memory and judgment: An information integration perspective. Journal of Marketing Research 29 3 (1992) 343-357
25. Kleinmuntz D.N., and Schkade D.A. Information displays and decision processes. Psychological Science 4 4 (1993) 221-227
26. Kumbhakar S.C., and Lovell A.K. Stochastic frontier analysis (2000), Cambridge Press, Cambridge, UK
27. Lehmann D.R., and Moore W.L. Validity of information display boards: An assessment using longitudinal data. Journal of Marketing Research 17 November (1980) 450-459
28. Levy M., Grewal D., Kopalle P.K., and Hess J.D. Emerging trends in retail pricing practice: Implications for research. Journal of Retailing 80 (2004) 13-21
29. Luo M., Feng R., and Cai L.A. Information search behavior and tourist characteristics: The Internet vis-à-vis other information sources. In: Mills J.E., and Law R. (Eds). Handbook of Consumer Behavior, Tourism, and the Internet (2004), The Haworth Hospitality Press 15-25
30. Lynch J.G., and Ariely D. Wine online: Search costs affect competition on price, quality, and distribution. Marketing Science 19 1 (2000) 83-103
31. Malhotra N.K. Information load and consumer decision making. Journal of Consumer Research 8 4 (1982) 419-430
32. Meeusen W., and van Den Broeck J. Efficiency estimation from Cobb-Douglas production function with composed error. International Economic Review 18 2 (1977) 435-444
33. Morton F.S., Zettelmeyer F., and Silva-Risso J. Consumer information and discrimination: Does the Internet affect the pricing of new cars to women and minorities?. Quantitative Marketing and Economics 1 (2003) 65-92
34. Nair, C.T.R., Chan, T.Y., Cheema, A. 2006. Modeling online browsing and purchase of airline tickets. Working paper, Washington University.
35. Nerlove M. Hedonic price functions and the measurement of preferences: The case of Swedish wine consumers. European Economic Review 39 (1995) 1697-1716
36. Oorni A. Consumer objectives and the amount of search in electronic travel and tourism markets. In: Mills J.E., and Law R. (Eds). Handbook of Consumer Behavior, Tourism, and the Internet (2004), The Haworth Hospitality Press 3-14
37. Painton S., and Gentry J.W. Another look at the impact of information presentation format. Journal of Consumer Research 12 September (1985) 240-244
38. Payne J.W., Johnson E.J., and Bettman J.R. The adaptive decision maker (1993), University Press, Cambridge
39. Ratchford B.T., Lee M., and Talukdar D. The impact of the Internet on information search for automobiles. Journal of Marketing Research 40 May (2003) 193-209
40. Rosen S. Hedonic prices and implicit markets. Journal of Political Economy 82 (1974) 34-55
41. Shankar V., Smith A.K., and Rangaswamy A. Customer satisfaction and loyalty in online and offline environments. International Journal of Research in Marketing 20 (2003) 153-175
42. Sinha I. Cost transparency: The net's real threat to prices and brands. Harvard Business Review March-April (2000) 43-50
43. Soberman D.A., and Parker P.M. The economics of quality-equivalent store brands. International of Journal of Research in Marketing 23 (2006) 125-139
44. Weinstein M.A. Query 2: The sum of values from a normal and a truncated normal distribution. Technometrics 6 1 (1964) 104-105
45. Widing R.E., and Talarzyk W.W. Electronic information systems for consumers: An evaluation of computer-assisted formats in multiple decision environments. Journal of Marketing Research 30 2 (1993) 125-141
46. Working E.J. What do statistical "demand curves" show?. Quarterly Journal of Economics 41 (1927) 212-235
47. Wu J., and Rangaswamy A. A fuzzy set model of search and consideration with an application to an online market. Marketing Science 22 3 (2003) 411-434
48. Zettelmeyer F., Morton F.S., and Silva-Risso J. How the Internet lowers prices: Evidence from matched survey and automobile transaction data. Journal of Marketing Research 43 May (2006) 168-181