IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v69y2016i2p794-803.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296315002933
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2015.07.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Foroudi, Pantea & Jin, Zhongqi & Gupta, Suraksha & Melewar, T.C. & Foroudi, Mohammad Mahdi, 2016. "Influence of innovation capability and customer experience on reputation and loyalty," Journal of Business Research, Elsevier, vol. 69(11), pages 4882-4889.
    2. Sascha Kraus & Domingo Ribeiro-Soriano & Miriam Schüssler, 2018. "Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 15-33, March.
    3. Leischnig, Alexander & Henneberg, Stephan C. & Thornton, Sabrina C., 2016. "Net versus combinatory effects of firm and industry antecedents of sales growth," Journal of Business Research, Elsevier, vol. 69(9), pages 3576-3583.
    4. Gupta, Suraksha & Malhotra, Naresh K. & Czinkota, Michael & Foroudi, Pantea, 2016. "The local brand representative in reseller networks," Journal of Business Research, Elsevier, vol. 69(12), pages 5712-5723.
    5. Ageeva, Elena & Melewar, T.C. & Foroudi, Pantea & Dennis, Charles & Jin, Zhongqi, 2018. "Examining the influence of corporate website favorability on corporate image and corporate reputation: Findings from fsQCA," Journal of Business Research, Elsevier, vol. 89(C), pages 287-304.
    6. Foroudi, Pantea & Jin, Zhongqi & Gupta, Suraksha & Foroudi, Mohammad M. & Kitchen, Philip J., 2018. "Perceptional components of brand equity: Configuring the Symmetrical and Asymmetrical Paths to brand loyalty and brand purchase intention," Journal of Business Research, Elsevier, vol. 89(C), pages 462-474.
    7. Gupta, Suraksha & Malhotra, Naresh K. & Czinkota, Michael & Foroudi, Pantea, 2016. "Marketing innovation: A consequence of competitiveness," Journal of Business Research, Elsevier, vol. 69(12), pages 5671-5681.
    8. Russo, Ivan & Confente, Ilenia & Gligor, David M. & Autry, Chad W., 2016. "To be or not to be (loyal): Is there a recipe for customer loyalty in the B2B context?," Journal of Business Research, Elsevier, vol. 69(2), pages 888-896.
    9. Ferguson, Graham & Megehee, Carol M. & Woodside, Arch G., 2017. "Culture, religiosity, and economic configural models explaining tipping-behavior prevalence across nations," Tourism Management, Elsevier, vol. 62(C), pages 218-233.
    10. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    11. Veríssimo, José Manuel Cristóvão, 2018. "Usage intensity of mobile medical apps: A tale of two methods," Journal of Business Research, Elsevier, vol. 89(C), pages 442-447.
    12. Leischnig, Alexander & Kasper-Brauer, Kati & Thornton, Sabrina C., 2018. "Spotlight on customization: An analysis of necessity and sufficiency in services," Journal of Business Research, Elsevier, vol. 89(C), pages 385-390.
    13. Olya, Hossein G.T. & Altinay, Levent, 2016. "Asymmetric modeling of intention to purchase tourism weather insurance and loyalty," Journal of Business Research, Elsevier, vol. 69(8), pages 2791-2800.
    14. Ferguson, Graham & Megehee, Carol M. & Woodside, Arch G., 2018. "Applying asymmetric, case-based, forecasting modeling in service research: Cultures’ consequences on customers’ service gratuities," Australasian marketing journal, Elsevier, vol. 26(4), pages 369-381.
    15. Hervas-Oliver, Jose-Luis & Sempere-Ripoll, Francisca & Arribas, Ivan, 2015. "Asymmetric modeling of organizational innovation," Journal of Business Research, Elsevier, vol. 68(12), pages 2654-2662.
    16. Chaouali, Walid & Hammami, Samiha Mjahed & Cristóvão Veríssimo, José Manuel & Harris, Lloyd C. & El-Manstrly, Dahlia & Woodside, Arch G., 2022. "Customers who misbehave: Identifying restaurant guests “acting out†via asymmetric case models," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    17. Amara, Nabil & Rhaiem, Mehdi & Halilem, Norrin, 2020. "Assessing the research efficiency of Canadian scholars in the management field: Evidence from the DEA and fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 296-306.
    18. Leischnig, Alexander & Kasper-Brauer, Kati, 2016. "How to sell in diverse markets? A two-level approach to industry factors and selling factors for explaining firm profitability," Journal of Business Research, Elsevier, vol. 69(4), pages 1307-1313.
    19. Raïes, Karine & Mühlbacher, Hans & Gavard-Perret, Marie-Laure, 2015. "Consumption community commitment: Newbies' and longstanding members' brand engagement and loyalty," Journal of Business Research, Elsevier, vol. 68(12), pages 2634-2644.
    20. Ren, Shengce & Tsai, Huei-Ting & Eisingerich, Andreas B., 2016. "Case-based asymmetric modeling of firms with high versus low outcomes in implementing changes in direction," Journal of Business Research, Elsevier, vol. 69(2), pages 500-507.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:69:y:2016:i:2:p:794-803. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.