Research Note—A Contingency Approach to Investigating the Effects of User-System Interaction Modes of Online Decision Aids

Published Online:https://doi.org/10.1287/isre.1120.0445

References

  • Alba JW, Hutchinson JW (1987) Dimensions of consumer expertise. J. Consumer Res. 13(4):411–442.CrossrefGoogle Scholar
  • Amir O, Levav J (2008) Choice construction versus preference construction: The instability of preferences learned in context. J. Marketing Res. 45(2):145–158.CrossrefGoogle Scholar
  • Ansari A, Essegaier S, Kohli R (2000) Internet recommendation systems. J. Marketing Res. 37(3):363–375.CrossrefGoogle Scholar
  • Armentano M, Godoy D, Amandi A (2006) Personal assistants: Direct manipulation vs. mixed initiative interfaces. Internat. J. Human-Comput. Stud. 64(1):27–35.CrossrefGoogle Scholar
  • Arnold V, Clark N, Collier PA, Leech SA, Sutton SG (2006) The differential use and effect of knowledge-based system explanations in novice and expert judgment decisions. MIS Quart. 30(1):79–97.CrossrefGoogle Scholar
  • Benbasat I, Barki H (2007) Quo vadis TAM. J. Assoc. Inform. Systems 8(4):211–218.Google Scholar
  • Bettman JR, Luce MF, Payne JW (1998) Constructive consumer choice processes. J. Consumer Res. 25(3):187–217.CrossrefGoogle Scholar
  • Bonaccio S, Dalal RS (2006) Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences. Organ. Behav. Human Decision Processes 101(2):127–151.CrossrefGoogle Scholar
  • Brehm J, Brehm S (1981) Psychological Reactance: A Theory of Freedom and Control (Academic Press, New York).Google Scholar
  • Carlson JP, Vincent LH, Hardesty DM, Bearden WO (2009) Objective and subjective knowledge relationships: A quantitative analysis of consumer research findings. J. Consumer Res. 35(5):864–876.CrossrefGoogle Scholar
  • Davern MJ, Kamis A (2010) Knowledge matters: Restrictiveness and performance with decision support. Decision Support Systems 49(4):343–353.CrossrefGoogle Scholar
  • Edwards SM, Li H, Lee J-H (2002) Forced exposure and psychological reactance: Antecedents and consequences of the perceived intrusiveness of pop-up ads. J. Advertising 31(3):83–95.CrossrefGoogle Scholar
  • Fasolo B, McClelland GH, Lange KA (2005) The effect of site design and interattribute correlations on interactive web-based decisions. Haugtvedt CP, Machleit KA, Yalch RF, eds. Online Consumer Psychology: Understanding and Influencing Consumer Behavior in the Virtual World (Lawrence Earlbaum, Mahwah, NJ), 325–342.Google Scholar
  • Flynn LR, Goldsmith RE (1999) A short, reliable measure of subjective knowledge. J. Bus. Res. 46(1):57–66.CrossrefGoogle Scholar
  • Hair JF, Tatham RL, Anderson RE, Black W (1998) Multivariate Data Analysis (Prentice Hall, Englewood Cliffs, NJ).Google Scholar
  • Häubl G, Murray KB (2006) Double agents: Assessing the role of electronic product-recommendation systems. MIT Sloan Management Rev. 47(3):8–12.Google Scholar
  • Häubl G, Trifts V (2000) Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Sci. 19(1):4–21.LinkGoogle Scholar
  • Huber J, Ariely D, Fischer G (2002) Expressing preferences in a principal-agent task: A comparison of choice, rating, and matching. Organ. Behav. Human Decision Processes 87(1):66–90.CrossrefGoogle Scholar
  • Hui K-L, Tan BCY, Goh C-Y (2006) Online information disclosure: Motivators and measurements. ACM Trans. Internet Tech. 6(4):415–441.CrossrefGoogle Scholar
  • Johnson CA (2005) The North American consumer: Online retail update. Forrester Research, Cambridge, MA.Google Scholar
  • Khalifa M, Davison R, Kwok RC-W (2002) The effects of process and content facilitation restrictiveness on GSS-mediated collaborative learning. Group Decision Negotiation 11(5):345–361.CrossrefGoogle Scholar
  • Kohler CF, Breugelmans E, Dellaert BGC (2011) Consumer acceptance of recommendations by interactive decision aids: The joint role of temporal distance and concrete versus abstract communications. J. Management Inform. Systems 27(4):231–260.CrossrefGoogle Scholar
  • Leavitt N (2006) Recommendation technology: Will it boost e-commerce? IEEE Comput. Soc. 39(5):13–16.CrossrefGoogle Scholar
  • Mackay JM, Elam JJ (1992) A comparative study of how experts and novices use a decision aid to solve problems. Inform. Systems Res. 3(2):150–172.LinkGoogle Scholar
  • McKnight DH, Choudhury V, Kacmar C (2002) Developing and validating trust measures for e-commerce: An integrative typology. Inform. Systems Res. 13(3):334–359.LinkGoogle Scholar
  • Moore GC, Benbasat I (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation. Inform. Systems Res. 2(3):192–222.LinkGoogle Scholar
  • Nakatsu R, Benbasat I (2006) Designing intelligent systems to handle system failures: Enhancing explanatory power with less restrictive user interfaces and deep explanations. Internat. J. Human-Comput. Interaction 21(1):55–72.CrossrefGoogle Scholar
  • Nunnally JC, Bernstein IH (1994) Psychometric Theory (McGraw-Hill, New York).Google Scholar
  • Oswald AJ, Wu S (2010) Objective confirmation of subjective measures of human well-being: Evidence from the U.S.A. Science 327(5965):576–579.CrossrefGoogle Scholar
  • Payne JW, Bettman JR, Johnson EJ (1992) Behavioral decision research: A constructive processing perspective. Annual Rev. Psych. 43:87–131.CrossrefGoogle Scholar
  • Payne JW, Bettman JR, Schkade DA (1999) Measuring constructed preferences: Towards a building code. J. Risk and Uncertainty 19(1–3):243–270.CrossrefGoogle Scholar
  • Reisen N, Hoffrage U (2010) The interactive choice aid: A new approach to supporting online consumer decision making. AIS Trans. Human-Comput. Interaction 2(4):112–126.CrossrefGoogle Scholar
  • Schiaffino S, Amandi A (2006) Personalizing user—Agent interaction. Knowledge-Based Systems 19(1):43–49.CrossrefGoogle Scholar
  • Shim JP, Warkentin M, Courtney JF, Power DJ, Sharda R, Carlsson C (2002) Past, present, and future of decision support technology. Decision Support Systems 33(2):111–126.CrossrefGoogle Scholar
  • Silver MS (1988) User perceptions of decision support system restrictiveness: An experiment. J. Management Inform. Systems 5(1):51–65.CrossrefGoogle Scholar
  • Silver MS (1991) Systems That Support Decision Makers: Description and Analysis (John Wiley & Sons, Chichester, UK).Google Scholar
  • Silver MS (2006) Decisional Guidance: Broadening the Scope (M.E. Sharpe, City).Google Scholar
  • Slovic P (1995) The construction of preference. Amer. Psychologist 50(5):364–371.CrossrefGoogle Scholar
  • Song J, Jones D, Gudigantala N (2007) The effects of incorporating compensatory choice strategies in web-based consumer decision support systems. Decision Support Systems 43(2):359–374.CrossrefGoogle Scholar
  • Straub D, Limayem M, Karahanna-Evaristo E (1995) Measuring system usage: Implications for IS theory testing. Management Sci. 41(8):1328–1342.LinkGoogle Scholar
  • Straub DW, Watson RT (2001) Research commentary: Transformational issues in researching IS and net-enabled organizations. Inform. Systems Res. 12(4):337–345.LinkGoogle Scholar
  • Su H-J, Comer LB, Lee S (2008) The effect of expertise on consumers' satisfaction with the use of interactive recommendation agents. Psych. Marketing 25(9):859–880.CrossrefGoogle Scholar
  • Todd P, Benbasat I (1992) The use of information in decision making: An experimental investigation of the impact of computer-based decision aids. Management Inform. Systems Quart. 16(3):373–393.CrossrefGoogle Scholar
  • Wang W, Benbasat I (2005) Trust in and adoption of online recommendation agents. J. Assoc. Inform. Systems 6(3):72–101.Google Scholar
  • Wang W, Benbasat I (2007) Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs. J. Management Inform. Systems 23(4):217–246.CrossrefGoogle Scholar
  • Wang W, Benbasat I (2008) Attributions of trust in decision support technologies: A study of recommendation agents for e-commerce. J. Management Inform. Systems 24(4):249–273.CrossrefGoogle Scholar
  • Wang W, Benbasat I (2009) Interactive decision aids for consumer decision making in e-commerce: The influence of perceived strategy restrictiveness. MIS Quart. 33(2):293–320.CrossrefGoogle Scholar
  • Xiao B, Benbasat I (2007) E-commerce product recommendation agents: Use, characteristics, and impact. MIS Quart. 31(1):137–209.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.