Using recommendation agents to cope with information overload

International Journal of Electronic Commerce

Volumn 17, Issue 2, 2012, Pages 41-70

  Aljukhadar, Muhammad ^a   Senecal, Sylvain ^a   Daoust, Charles Etienne ^b  

^a HEC MONTRÉAL   (Canada)

^b NONE

Author keywords

Choice quality; decision strategy; heuristics; information overload; product recommendations; reactance behavior; recommendation agent

Indexed keywords

EID: 84877943190     PISSN: 10864415     EISSN: None     Source Type: Journal    
DOI: 10.2753/JEC1086-4415170202     Document Type: Article

References (67)

1. Aksoy, L.; Cooil, B.; and Lurie, N.H. Decision quality measures in recommendation agents research. Journal of Interactive Marketing, 25, 2 (2011), 110-122.
2. Aksoy, L.; Bloom, P.; Lurie, N.; and Cooil, B. Should recommendation agents think like people? Journal of Service Research, 8, 4 (2006), 297-315.
3. Alba, J.; Lynch, J.; Weitz, B.; Janiszewski, C.; Lutz, R.; Sawyer, A.; and Wood, S. Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in electronic marketplaces. Journal of Marketing, 61, 3 (1997), 38-53.
4. Aljukhadar, M., and Senecal, S. Usage and success factors of commercial recommendation agents: A consumer qualitative study of MyProductAdvisor. com. Journal of Research in Interactive Marketing, 5, 2/3 (2011), 130-152.
5. Averill, J. Personal control over aversive stimuli and its relationship to stress. Psychological Bulletin, 80, 4 (1973), 286-303.
6. Beatty, S.E., and Talpade, S. Adolescent influence in family decision making: A replication with extension. Journal of Consumer Report, 21, 2 (1994), 332-342.
7. Bettman, J.R.; Johnson, E.J.; and Payne, J.W. A componential analysis of cognitive effort in choice. Organizational Behavior and Human Decision Processes, 45, 1 (1990), 111-140.
8. Brehm, J.W. A Theory of Psychological Reactance. New York: Academic Press, 1966.
9. Cacioppo, J., and Petty, R. The need for cognition. Journal of Personality and Social Psychology, 42, 1 (1982), 116-131.
10. Choi, J.; Lee, H.J.; and Kim, Y.G. The influence of social presence on customer intention to reuse online recommender systems: The roles of personalization and product type. International Journal of Electronic Commerce, 16, 1 (2011), 129-153.
11. Chung, T.S.; Rust, R.T.; and Wade, M. My mobile music: An adaptive personalization system for digital audio players. Marketing Science, 28, 1 (2009), 52-68.
12. Einhorn, H.J., and Hogarth, R.M. Behavioral decision theory: Processes of judgment and choice. Journal of Accounting Research, 19, 1 (1981), 1-31.
13. Eppler, M., and Mengis, J. The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. The Information Society, 20, 5 (2004), 325-344.
14. Fitzsimon, G.J., and Lehmann, D.R. Reactance to recommendations: When unsolicited advice yields contrary responses. Marketing Science, 23, 1 (2004), 82-94.
15. Gudigantala, N.; Song, J.; and Donald, J. User satisfaction with Webbased DSS: The role of cognitive antecedents. International Journal of Information Management, 31, 4 (2011), 327-338.
16. Hahn, M.; Lawson, R.; and Lee, Y. The Effects of time pressure and information load on decision quality. Psychology and Marketing, 9, 5 (1992), 365-379.
17. Häubl, G., and Murray, K. Double agents. MIT Sloan Management Review, 47, 3 (2006), 7-13.
18. Häubl, G., and Trifts, V. Consumer decision making in online shopping environments: The effect of interactive decision aids. Marketing Science, 19, 1 (2000), 4-21.
19. Häubl, G.; Dellaert, B.; and Usta, M. Ironic effects of personalized product recommendations on subjective consumer decision outcomes. Working paper, University of Alberta, 2012.
20. Haugtvedt, C., and Petty, R. Personality and persuasion: Need for cognition moderates the persistence and resistance of attitude changes. Journal of Personality and Social Psychology, 63, 2 (1992), 308-319.
21. Henry, W.A. The effect of information-processing ability on processing accuracy. Journal of Consumer Research, 7, 1 (1980), 42-48.
22. Herbig, P., and Kramer, H. The effect of information overload on the innovation choice. Journal of Consumer Marketing, 11, 1 (1994), 45-54.
23. Jacoby, J.; Speller, D.; and Berning, C. Brand choice behavior as a function of information load. Journal of Marketing Research, 11, 1 (1974), 63-69.
24. Jacoby, J., Speller, D., and Berning, C. Brand choice behavior as a function of information load: Replication and extension. Journal of Consumer Research, 1, 1 (1974), 33-42.
25. Jannach, D., and Hegelich, K. A case study on the effectiveness of recommendations in the mobile Internet. In Proceedings of the Third ACM Conference on Recommender Systems. New York: ACM Press, 2009, pp. 205-208.
26. Johnson, E.J., and Payne, J.W. Effort and accuracy in choice. Management Science, 31, 4 (1985), 394-414.
27. Julià, C.; Sappa, A.; Lumbreras, F.; Serrat, J.; and López, A. Predicting missing ratings in recommender systems: Adapted factorization approach. International Journal of Electronic Commerce, 14, 2 (2009), 89-108.
28. Keller, K.L., and Staelin, R. Effects of quality and quantity of information on decision effectiveness. Journal of Consumer Research, 14, 2 (1987), 200-213.
29. Kim, H.-N.; Ji, A.-T.; Ha, I.; and Jo, G.-S. Collaborative filtering based on collaborative tagging for enhancing the quality of recommendation. Electronic Commerce Research and Applications, 9, 1 (2010), 73-83.
30. Kleinmuntz, D.N., and Schkade, D. Information displays and decision processes. Psychological Science, 4, 4 (1993), 221-227.
31. Lajos, J.; Chattopadhyay, A.; and Sengupta, K. When electronic recommendation agents backfire: Negative effects on choice satisfaction, attitudes, and purchase intentions. In A.L. McGill and S. Shavitt (eds.), Advances in Consumer Research, vol. 36. Duluth, MN: Association for Consumer Research, 2009, pp. 845-846.
32. Lee, B.-K., and Lee, W.-N. The effect of information overload on consumer choice quality in an on-line experiment. Psychology and Marketing, 21, 3 (2004), 159-181.
33. Liang, T.-P.; Lai, H.-J.; and Ku, Y.-C. Personalized content recommendation and user satisfaction: Theoretical synthesis and empirical findings. Journal of Management Information Systems, 23, 3 (2007), 45-70.
34. Loiacono, E.T.; Watson, R.T.; and Goodhue, D.L. WebQual: An instrument for consumer evaluation of Web sites. International Journal of Electronic Commerce, 11, 3 (2007), 51-87.
35. Lurie, N.H. Decision making in information-rich environments: The role of information structure. Journal of Consumer Research, 30, 4 (2004), 473-486.
36. Malhotra, N.K. Information load and consumer decision making. Journal of Consumer Research, 8, 4 (1982), 419-430.
37. Malhotra, N.K. Information and sensory overload. Psychology and Marketing, 1, 3/4 (1984), 9-21.
38. Miller, G.A. The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63 (1956), 81-97.
39. Milord, J.T., and Perry, R.R. A methodological study of overload. Journal of General Psychology, 97, 1 (1977), 131-137.
40. Newhagen, J.E.; Corders, J.W.; and Levy, M.R. Nightly@nbc.com: Audience scope and the perception of interactivity in viewer mail on the Internet. Journal of Communication, 45, 3 (1995), 164-175.
41. Oliver, R.L., and Bearden, W.O. Crossover effects in the theory of reasoned action: A moderating influence attempt. Journal of Consumer Research, 12, 3 (1985), 324-340.
42. Olshavsky, R.W., and Granbois, D.H. Consumer decision making - Fact or fiction? Journal of Consumer Research, 6, 3 (1979), 93-100.
43. Olson, E.L., and Widing, R.E. Are interactive decision aids better than passive decision aids? A comparison with implications for information providers on the Internet. Journal of Interactive Marketing, 16, 2 (2002), 22-33.
44. Payne, J.W.; Bettman, J.R.; and Johnson, E.J. The Adaptive Decision Maker. Cambridge: Cambridge University Press, 1993.
45. Petty, R.E., and Cacioppo, J.T. The elaboration likelihood model of persuasion. In L. Berkowitz (ed.), Advances in Experimental Social Psychology, vol. 19. New York: Academic Press, 1986, pp. 123-205.
46. Pocheptsova, A.; Amir, O.; Dhar, R.; and Baumeister, R.F. Deciding without resources: Resource depletion and choice in context. Journal of Marketing Research, 46, 3 (2009), 344-356.
47. Qiu, L., and Benbasat, I. Evaluating anthropomorphic product recommendation agents: A social relationship perspective to designing information systems. Journal of Management Information Systems, 25, 4 (2009), 145-182.
48. Rafaeli, S. Interactivity: From new media to communication. In R.P. Hawkins, J.M. Wiemann, and S. Pingree (eds.), Advancing Communication Science: Merging Mass and Interpersonal Processes. Newbury Park, CA: Sage, 1988, pp. 110-134.
49. Rosen, D.L., and Olshavsky, R.W. A protocol analysis of brand choice strategies involving recommendations. Journal of Consumer Research, 14, 4 (1987), 440-444.
50. Scammon, D.L. Information load and consumers. Journal of Consumer Research, 4, 3 (1977), 148-155.
51. Sela, A.; Berger, J.; and Liu, W. Variety, vice, and virtue: How assortment size influences option choice. Journal of Consumer Research, 35, 6 (2009), 941-951.
52. Senecal, S., and Nantel, J. The influence of online product recommendations on consumers' online choices. Journal of Retailing, 80, 2 (2004), 159-169.
53. Simon, H.A. A behavioral model of rational choice. Quarterly Journal of Economics, 69, 1 (1955), 99-118.
54. Song, J.; Jones, D.; and Gudigantala, N. The effects of incorporating compensatory choice strategies in Web-based consumer decision support systems. Decision Support Systems, 43 (2007), 359-374.
55. Song, J.H., and Zinkhan, G.M. Exploring the determinants of perceived Web site interactivity. Journal of Marketing, 72, 2 (2008), 99-113.
56. Steuer, J. Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42, 4 (1992), 73-93.
57. Su, B.-C. Characteristics of consumer search on-line: How much do we search? International Journal of Electronic Commerce, 13, 1 (2008), 109-129.
58. Summers, J.O. Less information is better? Journal of Marketing Research, 11, 4 (1974), 466-468.
59. Swaminathan, V. The impact of recommendation agents on consumer evaluation and choice: The moderating role of category risk, product complexity, and consumer knowledge. Journal of Consumer Psychology, 13, 1/2 (2003), 93-101.
60. Szymanski, D., and Hise, R.T. E-satisfaction: An initial examination. Journal of Retailing, 76, 3 (2000), 309-322.
61. Thorngate, W. Efficient decision heuristics. Behavioral Science, 25, 3 (1980), 219-225.
62. Van Herpen, E., and Pieters, R. The variety of an assortment: An extension to the attribute-based approach. Marketing Science, 21, 3 (2002), 331-341.
63. Wang, W., and Benbasat, I. Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs. Journal of Management Information Systems, 23, 4 (2007), 217-246.
64. Wilkie, W.L. Analysis of effects of information load. Journal of Marketing Research, 11, 4 (1974), 462-466.
65. Winzar, H., and Savik, P. Measuring information overload on the World Wide Web. In K.R. Evans and L.K. Scheer (eds.), AMA Winter Educators' Conference Proceedings, vol. 13. Chicago: American Marketing Association, 2002, pp. 439-445.
66. Wolfinbarger, M., and Gilly, M. eTailQ: Dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79, 3 (2003), 183-198.
67. Xiao, B., and Benbasat, I. E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quarterly, 31, 1 (2007), 137-209.