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Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions

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  • Pappas, Ilias O.
  • Kourouthanassis, Panos E.
  • Giannakos, Michail N.
  • Chrissikopoulos, Vassilios

Abstract

This study uses complexity theory to explain and better understand the causal patterns of factors stimulating online shopping behavior in personalized e-commerce environments. To this end, it identifies cognitive and affective perceptions as essential factors in online shopping behavior and proposes a conceptual model along with research propositions. To test its propositions, it employs fuzzy-set qualitative comparative analysis (fsQCA) on a sample of 582 experienced online shoppers. Findings indicate nine configurations of cognitive and affective perceptions that explain high intention to purchase. This study, contributes to the literature 1) by offering new insights into the relation among the predictors of online shopping behavior and 2) advancing the theoretical ground of how customers' cognitive and affective perceptions combine to better explain high purchase intentions. The findings support the need for online shopping environments to be more interactive in order to target customers' cognitive and affective perceptions, and increase their intention to purchase.

Suggested Citation

  • Pappas, Ilias O. & Kourouthanassis, Panos E. & Giannakos, Michail N. & Chrissikopoulos, Vassilios, 2016. "Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions," Journal of Business Research, Elsevier, vol. 69(2), pages 794-803.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:2:p:794-803
    DOI: 10.1016/j.jbusres.2015.07.010
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    1. Kar Yan Tam & Shuk Ying Ho, 2005. "Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective," Information Systems Research, INFORMS, vol. 16(3), pages 271-291, September.
    2. Kaptein, Maurits & Eckles, Dean, 2012. "Heterogeneity in the Effects of Online Persuasion," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 176-188.
    3. Hsieh, Jung-Kuei & Hsieh, Yi-Ching & Chiu, Hung-Chang & Yang, Ya-Ru, 2014. "Customer Response to Web Site Atmospherics: Task-relevant Cues, Situational Involvement and PAD," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 225-236.
    4. Ragin, Charles C., 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage," Political Analysis, Cambridge University Press, vol. 14(3), pages 291-310, July.
    5. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    6. Chang, En-Chung & Lv, Yilin & Chou, Ting-Jui & He, Qingwen & Song, Zhuozhao, 2014. "Now or later: Delay's effects on post-consumption emotions and consumer loyalty," Journal of Business Research, Elsevier, vol. 67(7), pages 1368-1375.
    7. Wu, Pei-Ling & Yeh, Shih-Shuo & Huan, Tzung-Cheng (.T.C.). & Woodside, Arch G., 2014. "Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations," Journal of Business Research, Elsevier, vol. 67(8), pages 1647-1670.
    8. Angela Y. Lee & Punam Anand Keller & Brian Sternthal, 2010. "Value from Regulatory Construal Fit: The Persuasive Impact of Fit between Consumer Goals and Message Concreteness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(5), pages 735-747, February.
    9. van Noort, Guda & Voorveld, Hilde A.M. & van Reijmersdal, Eva A., 2012. "Interactivity in Brand Web Sites: Cognitive, Affective, and Behavioral Responses Explained by Consumers' Online Flow Experience," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 223-234.
    10. Leischnig, Alexander & Kasper-Brauer, Kati, 2015. "Employee Adaptive Behavior in Service Enactments," Journal of Business Research, Elsevier, vol. 68(2), pages 273-280.
    11. Bosnjak, Michael & Galesic, Mirta & Tuten, Tracy, 2007. "Personality determinants of online shopping: Explaining online purchase intentions using a hierarchical approach," Journal of Business Research, Elsevier, vol. 60(6), pages 597-605, June.
    12. Ping Ping Fu & Jeff Kennedy & Jasmine Tata & Gary Yukl & Michael Harris Bond & Tai-Kuang Peng & Ekkirala S Srinivas & Jon P Howell & Leonel Prieto & Paul Koopman & Jaap J Boonstra & Selda Pasa & Marie, 2004. "The impact of societal cultural values and individual social beliefs on the perceived effectiveness of managerial influence strategies: a meso approach," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 35(4), pages 284-305, July.
    13. Shaila M. Miranda & Carol S. Saunders, 2003. "The Social Construction of Meaning: An Alternative Perspective on Information Sharing," Information Systems Research, INFORMS, vol. 14(1), pages 87-106, March.
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