Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior

Published Online:https://doi.org/10.1287/isre.1090.0262

References

  • Adomavicius G., Tuzhilin A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowledge Data Engrg. (2005) 17(6):734–749CrossrefGoogle Scholar
  • Alba J. W., Hutchinson J. W., Lynch J. G., Robertson T. S., Kassarjian H. H. Memory and decision making. Handbook of Consumer Psychology (1991) (Prentice Hall, Englewood Cliffs, NJ) 1–49Google Scholar
  • Bearden J. N., Rapoport A., Murphy R. Sequential selection and assignment with rank-dependent payoffs. An experimental test. Management Sci. (2006) 52:1437–1449LinkGoogle Scholar
  • Ben Abdelaziz F., Krichen S. An interactive method for the optimal selection problem with two decision makers. Eur. J. Oper. Res. (2005) 162(3):602–609CrossrefGoogle Scholar
  • Bettman J. R., Luce M. F., Payne J. W. Constructive consumer choice processes. J. Consumer Res. (1998) 25(3):187–217CrossrefGoogle Scholar
  • Bhattacherjee A. Understanding information systems continuance: An expectation-confirmation model. MIS Quart. (2001) 25(3):351–370CrossrefGoogle Scholar
  • Browne G. J., Pitts M. G., Wetherbe J. C. Cognitive stopping rules for terminating information search in online tasks. MIS Quart. (2007) 31(1):89–104CrossrefGoogle Scholar
  • Clark A. E., Frijters P., Shields M. A. Relative income, happiness, and utility: An explanation for the Easterlin paradox and other puzzles. J. Econom. Literature (2008) 46(1):95–144CrossrefGoogle Scholar
  • Datta A., Dutta K., Thomas H., Vandermeer D., Ramamritham K. Proxy-based acceleration of dynamically generated content on the World Wide Web: An approach and implementation. ACM Trans. Database Systems (2004) 29(2):403–443CrossrefGoogle Scholar
  • DeGroot M. H. Some problems of optimal searching. J. Roy. Statist. Soc. Ser. B (Methodological) (1968) 30(1):108–122Google Scholar
  • Devaraj S., Fan M., Kohli R. Antecedents of B2C channel satisfaction and preference: Validation e-commerce metrics. Inform. Systems Res. (2002) 13(3):316–334LinkGoogle Scholar
  • Engel J. F., Blackwell R. D., Kollat D. T.Consumer Behavior (1978) 3rd ed.(Dryden, Hinsdale, IL) Google Scholar
  • Engen S., Seim E. Uniformly best invariant stopping rules. J. Appl. Probab. (1987) 24(1):77–87CrossrefGoogle Scholar
  • Ericsson K. A., Kintsch W. Long-term working memory. Psych. Rev. (1995) 102(2):211–245CrossrefGoogle Scholar
  • Freeman P. R. The secretary problem and its extensions: A review. Internat. Statist. Rev. (1983) 51(2):189–206CrossrefGoogle Scholar
  • Hauser J. R., Wernerfelt B. An evaluation cost model of consideration sets. J. Consumer Res. (1990) 16(4):393–408CrossrefGoogle Scholar
  • Heiman A., McWilliams B., Shen Z., Zilberman D. Learning and forgetting: Modeling optimal product sampling over time. Management Sci. (2001) 47(4):532–546LinkGoogle Scholar
  • Ho S. Y., Tam K .Y. An empirical examination of the effects of Web personalization at different consumer decision-making stages. Internat. J. Human-Comput. Interaction (2005) 19(1):95–112CrossrefGoogle Scholar
  • Hoyer W. D. An examination of consumer decision making for a common repeat purchase product. J. Consumer Res. (1984) 11(3):822–829CrossrefGoogle Scholar
  • Jacoby J., Szybillo G. J., Berning C. K. Time and consumer behavior: An interdisciplinary overview. J. Consumer Res. (1976) 4(2):320–339CrossrefGoogle Scholar
  • Jansen B. J., Spink A., Pedersen J. A temporal comparison of AltaVista Web searching. J. Amer. Soc. Inform. Sci. Tech. (2005) 56(6):559–570CrossrefGoogle Scholar
  • Johnson E., Payne J. W. Effort and accuracy in choice. Management Sci. (1985) 31(4):395–414LinkGoogle Scholar
  • Kalyanam K., Zweben M. The perfect message at the perfect moment. Harvard Bus. Rev. (2005) 112–120Google Scholar
  • Komiak S. Y. X., Benbasat I. The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quart. (2006) 30(4):941–960CrossrefGoogle Scholar
  • Kumar N., Benbasat I. The influence of recommendations and consumer reviews on evaluations of websites. Inform. Systems Res. (2006) 17(4):425–439LinkGoogle Scholar
  • Lipman B. L. How to decide how to decide how to...: Modeling limited rationality. Econometrica (1991) 59(4):1105–1125CrossrefGoogle Scholar
  • Loosley C., Gimarc R., Spellman A. E-commerce response time: A reference model. (2000) . Keynote Systems white paper. Accessed May 23, 2007, http://www.keynote.com/services/html/product_lib.htmlGoogle Scholar
  • Mathwick C., Rigdon E. Play, flow, and the online search experience. J. Consumer Res. (2004) 31(2):324–332CrossrefGoogle Scholar
  • Mela C. F., Jedidi K., Bowman D. The long-term impact of promotions on consumer stockpiling behavior. J. Marketing Res. (1998) 35(2):250–262CrossrefGoogle Scholar
  • Meuter M. L., Ostrom A. L., Roundtree R. I., Bitner M. J. Self-service technologies: Understanding customer satisfaction with technology-based service encounters. J. Marketing (2000) 64(3):50–64CrossrefGoogle Scholar
  • Mobasher B., Dai H., Luo T., Nakagawa M. Discovery and evaluation of aggregate usage profiles for Web personalization. Data Mining Knowledge Discovery (2002) 6(1):61–82CrossrefGoogle Scholar
  • Moorman C., Diehl K., Brinberg D., Kidwell B. Subjective knowledge, search locations, and consumer choice. J. Consumer Res. (2004) 31(3):673–680CrossrefGoogle Scholar
  • Moorthy S., Ratchford B. T., Talukdar D. Consumer information search revisited: Theory and empirical analysis. J. Consumer Res. (1997) 23:263–277CrossrefGoogle Scholar
  • Mowen J. C., Mowen M. M. Time and outcome valuation: Implications for marketing decision making. J. Marketing (1991) 55:54–62CrossrefGoogle Scholar
  • Murthi B. P. S., Sarkar S. The role of the management sciences in research on personalization. Management Sci. (2003) 49(10):1344–1362LinkGoogle Scholar
  • Nah F. F. H., Benbasat I. Knowledge-based support in a group decision making context: An expert-novice comparison. J. Assoc. Inform. Systems (2004) 5(3):125–150Google Scholar
  • Naik P. A. Estimating the half-life of advertisements. Marketing Lett. (1999) 10(4):351–262CrossrefGoogle Scholar
  • Payne J. W., Bettman J. R., Johnson E. J. Behavioral decision research: A constructive processing perspective. Annual Rev. Psych. (1992) 43:87–131CrossrefGoogle Scholar
  • Payne J. W., Bettman J. R., Johnson E. J.The Adaptive Decision Maker (1993) (Cambridge University Press, New York) CrossrefGoogle Scholar
  • Pham M., Higgins E. T., Ratneshwar S., Mick D. G. Promotion and prevention in consumer decision-making. Inside Consumption (2005) (Routledge, New York) Google Scholar
  • Pratkanis A. R., Greenwald A. G. Consumer involvement, message attention, and the persistence of persuasive impact in a message-dense environment. Psych. Marketing (1993) 10(4):321–332CrossrefGoogle Scholar
  • Rapoport A., Tversky A. Choice behavior in an optional stopping task. Organ. Behav. Human Performance (1970) 5:105–120CrossrefGoogle Scholar
  • Rayport J. F., Jaworski B. J.Best Face Forward: Why Companies Must Improve Their Service Interfaces with Customers (2005) (Harvard Business School Press, Boston) Google Scholar
  • Seale D. A., Rapoport A. Sequential decision making with relative ranks: An experimental investigation of the secretary problem. Organ. Behav. Human Decision Processes (1997) 69:221–236CrossrefGoogle Scholar
  • Sen R., King R. C., Shaw M. J. Buyers' choice of online search strategy and its managerial implications. J. Management Inform. Systems (2006) 23(1):211–238CrossrefGoogle Scholar
  • Shapiro C., Varian H. R.Information Rules: A Strategic Guide to the Network Economy (1998) (Harvard Business School Press, Boston) Google Scholar
  • Simonson I. The effect of purchase quantity and timing on variety-seeking behavior. J. Marketing Res. (1990) 27(2):150–162CrossrefGoogle Scholar
  • Slovic P. The construction of preference. Amer. Psychologist (1995) 50(5):364–371CrossrefGoogle Scholar
  • Stigler G. J. The economics of information. J. Political Econom. (1961) 69(3):213–225CrossrefGoogle Scholar
  • Tam K. Y., Ho S. Y. Persuasiveness of Web personalization: An elaboration likelihood model perspective. Inform. Systems Res. (2005) 16(3):271–291LinkGoogle Scholar
  • Tam K. Y., Ho S. Y. Understanding the impact of Web personalization on user information processing, behavior and judgment. MIS Quart. (2006) 30(4):865–890CrossrefGoogle Scholar
  • Telser L. G. Searching for the lowest price. Amer. Econom. Rev. (1973) 63(2):40–49Google Scholar
  • Wang W., Benbasat I. Trust in and adoption of online recommendation agents. J. Assoc. Inform. Systems (2005) 6(3):72–101Google Scholar
  • Wood S. L., Lynch J. G. Prior knowledge and complacency in new product learning. J. Consumer Res. (2002) 29(3):416–426CrossrefGoogle Scholar
  • Xiao B., Benbasat I. E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quart. (2007) 31(1):137–209CrossrefGoogle Scholar
  • Zhang P., Benbasat I., Carey J., Davis F., Galletta D., Strong D. Human-computer interface research in the MIS discipline. Comm. Assoc. Inform. Systems (2002) 9:334–355Google Scholar
  • Zwick R., Rapoport A., Lo A. K. C., Muthukrishnan A. V. Consumer sequential search: Not enough or too much? Marketing Sci. (2003) 22:503–519LinkGoogle Scholar
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