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Research Note—Deliberation Without Attention: The Latent Benefits of Distracting Website Features for Online Purchase Decisions

Author

Listed:
  • Barney Tan

    (Discipline of Business Information Systems, University of Sydney Business School, University of Sydney, Sydney, NSW 2006, Australia)

  • Cheng Yi

    (Department of Management Science and Engineering, School of Economics and Management, Tsinghua University, Beijing 100084, China)

  • Hock C. Chan

    (Department of Information Systems, National University of Singapore, Singapore 117417)

Abstract

Early studies on Web design typically caution against the use of distracting website features in electronic commerce, such as animated banners, pop-ups, and floating advertisements, because they may cause annoyance for online consumers and disrupt information processing, leading to poorer purchase decisions. Yet, the recently uncovered deliberation-without-attention (D-W-A) effect suggests that distracting consumers from the decision-making process may improve their decision quality when there are a large number of decision parameters to consider. To ascertain whether the D-W-A effect can be triggered through the use of distracting website features in the context of online shopping, two experiments are conducted. The first experiment reveals that the presence of distracting website features, in the form of pop-ups, gives rise to annoyance in general, but also leads to better purchase decisions when the decision to be made is complex. The second experiment supports the findings of the first and sheds further light on the underlying mode of thought triggered by these features. In particular, by eliminating a number of potential alternative mechanisms, including online judgments, the mere disruption of decision-related thought, and cognitively constrained conscious deliberation, the second experiment demonstrates that unconscious deliberation is likely to be the underlying cause of superior decision making. With these findings, this research supports a more balanced view in the recent human–computer interaction literature, which suggests that the usual advice to minimize the use of distracting website features should be examined more carefully. The research also uncovers evidence that contributes to the ongoing debate surrounding the D-W-A effect and unconscious thought theory.

Suggested Citation

  • Barney Tan & Cheng Yi & Hock C. Chan, 2015. "Research Note—Deliberation Without Attention: The Latent Benefits of Distracting Website Features for Online Purchase Decisions," Information Systems Research, INFORMS, vol. 26(2), pages 437-455, June.
  • Handle: RePEc:inm:orisre:v:26:y:2015:i:2:p:437-455
    DOI: 10.1287/isre.2015.0566
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    References listed on IDEAS

    as
    1. Chuan-Hoo Tan & Hock-Hai Teo & Izak Benbasat, 2010. "Assessing Screening and Evaluation Decision Support Systems: A Resource-Matching Approach," Information Systems Research, INFORMS, vol. 21(2), pages 305-326, June.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Wendy Liu, 2008. "Focusing on Desirability: The Effect of Decision Interruption and Suspension on Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(4), pages 640-652, August.
    4. Hausman, Angela V. & Siekpe, Jeffrey Sam, 2009. "The effect of web interface features on consumer online purchase intentions," Journal of Business Research, Elsevier, vol. 62(1), pages 5-13, January.
    5. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    6. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    7. Weiyin Hong & James Y. L. Thong & Kar Yan Tam, 2004. "Does Animation Attract Online Users’ Attention? The Effects of Flash on Information Search Performance and Perceptions," Information Systems Research, INFORMS, vol. 15(1), pages 60-86, March.
    8. repec:cup:judgdm:v:4:y:2009:i:3:p:235-247 is not listed on IDEAS
    9. repec:cup:judgdm:v:3:y:2008:i::p:292-303 is not listed on IDEAS
    10. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    11. Davy Lerouge, 2009. "Evaluating the Benefits of Distraction on Product Evaluations: The Mind-Set Effect," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(3), pages 367-379.
    12. Weiyin Hong & James Y.L. Thong & Kar Yan Tam, 2007. "How do Web users respond to non‐banner‐ads animation? The effects of task type and user experience," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(10), pages 1467-1482, August.
    13. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
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