Preference Construction and Persistence in Digital Marketplaces: The Role of Electronic Recommendation Agents

This paper examines the role of electronic recommendation agents in connection with consumers' construction of preference for multi-attribute products. Based on the notion that preferences tend to be constructive, in the sense that they may be affected by characteristics of the task and information environment in which a purchase decision is made, we propose that such digital agents have the potential to influence consumers' preferences in a systematic fashion. The results of an experiment involving an agent-assisted shopping task provide support for this proposition. We also find that this type of preference-construction effect persists beyond the initial shopping experience. Finally, we propose three possible explanations of the inclusion effect and discuss each of these in light of our results.

[1]  Steven M. Shugan The Cost Of Thinking , 1980 .

[2]  R. Kohli,et al.  Internet Recommendation Systems , 2000 .

[3]  M. F. Luce,et al.  Constructive Consumer Choice Processes , 1998 .

[4]  John W. Payne,et al.  Measuring Constructed Preferences: Towards a Building Code , 1999 .

[5]  木村 和夫 Pragmatics , 1997, Language Teaching.

[6]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[7]  John G. Lynch,et al.  Memory and Attentional Factors in Consumer Choice: Concepts and Research Methods , 1982 .

[8]  Sirkka L. Jarvenpaa,et al.  The effect of task demands and graphical format on information processing strategies , 1989 .

[9]  Valerie J. Trifts,et al.  Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids , 2000 .

[10]  P. Slovic The Construction of Preference , 1995 .

[11]  Youjae Yi The Effects of Contextual Priming in Print Advertisements , 1990 .

[12]  Eric J. Johnson,et al.  Behavioral decision research: A constructive processing perspective. , 1992 .

[13]  J. Bettman,et al.  Effects of Information Presentation Format on Consumer Information Acquisition Strategies , 1977 .

[14]  Paul Slovic,et al.  Graphic Representation of Judgmental Information , 1986, SGCH.

[15]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[16]  P. Herr Priming Price: Prior Knowledge and Context Effects , 1989 .

[17]  Timothy P. McNamara,et al.  Theories of priming: II. Types of primes. , 1994 .

[18]  J. Bettman An information processing theory of consumer choice , 1979 .

[19]  Paul Slovic,et al.  From Shakespeare to Simon: speculations--and some evidence-- about man's ability to process information , 1972 .

[20]  E. Coupey Restructuring: Constructive Processing of Information Displays in Consumer Choice , 1994 .

[21]  Joel Huber,et al.  The Importance of Utility Balance in Efficient Choice Designs , 1996 .

[22]  John G. Lynch,et al.  Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution , 2000 .

[23]  T. K. Srull,et al.  The Role of Category Accessibility in the Interpretation of Information About Persons: Some Determinants and Implications , 1979 .

[24]  John G. Lynch,et al.  Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces , 1997 .

[25]  Sirkka L. Jarvenpaa,et al.  Graphic displays in decision making — the visual salience effect , 1990 .

[26]  J. Bakos Reducing buyer search costs: implications for electronic marketplaces , 1997 .

[27]  H. Simon,et al.  Invariants of human behavior. , 1990, Annual review of psychology.