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Modeling online consumer behavior: Preeminence of emotions and moderating influences of need for cognition and optimal stimulation level

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  • Richard, Marie-Odile
  • Chebat, Jean-Charles

Abstract

A model of online consumer behavior incorporating emotions, cognitions, flow, entertainment, online attitudes and purchase intentions was developed and tested, as well as the moderating effects of need for cognition (NFC) and optimum stimulation level (OSL). Cognitions relate to website functional characteristics, while entertainment relates to its hedonic characteristics. Emotions encompass pleasure, arousal and dominance. Findings indicate that in the context of online visiting, emotions precede cognitions. Among other findings, the dimension of dominance played a major role in the model. The moderating effects of NFC and OSL on the model were tested individually as well as the interactive effects of these moderators. Strong main and interactive effects of NFC and OSL were found. Several key differential paths were identified. Finally, the article provides a description of website visitors based on these personality variables.

Suggested Citation

  • Richard, Marie-Odile & Chebat, Jean-Charles, 2016. "Modeling online consumer behavior: Preeminence of emotions and moderating influences of need for cognition and optimal stimulation level," Journal of Business Research, Elsevier, vol. 69(2), pages 541-553.
  • Handle: RePEc:eee:jbrese:v:69:y:2016:i:2:p:541-553
    DOI: 10.1016/j.jbusres.2015.05.010
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    References listed on IDEAS

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    1. Richard, Marie-Odile & Chebat, Jean-Charles & Yang, Zhiyong & Putrevu, Sanjay, 2010. "A proposed model of online consumer behavior: Assessing the role of gender," Journal of Business Research, Elsevier, vol. 63(9-10), pages 926-934, September.
    2. Ladhari, Riadh, 2007. "The movie experience: A revised approach to determinants of satisfaction," Journal of Business Research, Elsevier, vol. 60(5), pages 454-462, May.
    3. 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.
    4. Ebrahim Mazaheri & Marie-Odile Richard & Michel Laroche, 2010. "Investigating the Moderating Impact of Hedonism on Online Consumer Behavior," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 20(2), pages 123-134, March.
    5. Greenwald, Anthony G & Leavitt, Clark, 1984. "Audience Involvement in Advertising: Four Levels," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(1), pages 581-592, June.
    6. Havlena, William J & Holbrook, Morris B, 1986. "The Varieties of Consumption Experience: Comparing Two Typologies of Emotion in Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(3), pages 394-404, December.
    7. Batra, Rajeev & Stayman, Douglas M, 1990. "The Role of Mood in Advertising Effectiveness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(2), pages 203-214, September.
    8. Richard, Marie-Odile, 2005. "Modeling the impact of internet atmospherics on surfer behavior," Journal of Business Research, Elsevier, vol. 58(12), pages 1632-1642, December.
    9. Foxall, Gordon R. & Greenley, Gordon E., 1999. "Consumers' Emotional Responses to Service Environments," Journal of Business Research, Elsevier, vol. 46(2), pages 149-158, October.
    10. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    11. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1992. "The Role of Optimum Stimulation Level in Exploratory Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 434-448, December.
    12. Chakraborty, Goutam & Lala, Vishal & Warren, David, 2003. "What Do Customers Consider Important in B2B Websites?," Journal of Advertising Research, Cambridge University Press, vol. 43(1), pages 50-61, March.
    13. Mazaheri, Ebrahim & Richard, Marie Odile & Laroche, Michel & Ueltschy, Linda C., 2014. "The influence of culture, emotions, intangibility, and atmospheric cues on online behavior," Journal of Business Research, Elsevier, vol. 67(3), pages 253-259.
    14. Chebat, Jean-Charles & Michon, Richard, 2003. "Impact of ambient odors on mall shoppers' emotions, cognition, and spending: A test of competitive causal theories," Journal of Business Research, Elsevier, vol. 56(7), pages 529-539, July.
    15. McMILLAN, SALLY J. & HWANG, JANG-SUN & LEE, GUIOHK, 2003. "Effects of Structural and Perceptual Factors on Attitudes toward the Website," Journal of Advertising Research, Cambridge University Press, vol. 43(4), pages 400-409, December.
    16. Ariely, Dan, 2000. "Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 233-248, September.
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