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Customers’ purchase decision-making process in social commerce: A social learning perspective

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  • Chen, Aihui
  • Lu, Yaobin
  • Wang, Bin

Abstract

The proliferation of social commerce has changed customers’ purchase decision-making process. However, few studies have investigated the roles of social commerce factors on customers’ purchase decision-making. Based on the social learning theory, we develop a research model to examine how customers’ learning behavior along three main social commerce components (SCCs) affects customers’ attitude in both cognitive and affective dimensions and how such attitude determines customers’ purchase intention. The results from a survey of 243 actual users of social commerce websites suggest that cognitive and affective appraisals are the main predictors of purchase intention, with cognitive appraisal having a higher predictive power than affective appraisal. In addition, learning from forums and communities and learning from ratings and reviews have significant influences on both cognitive and affective appraisals, while learning from forums and communities plays a more important role in formulating affective appraisal and learning from ratings and reviews plays a more important role in determining cognitive appraisal. Contrary to our expectation, learning from social recommendations has no significant influence on either cognitive or affective appraisal. In summary, these findings provide a comprehensive understanding about customers’ purchase decision-making process and extend the application scope of social learning theory. The findings also provide social commerce managers guidance in designing more effective websites and allocating resources and efforts reasonably on different SCCs.

Suggested Citation

  • Chen, Aihui & Lu, Yaobin & Wang, Bin, 2017. "Customers’ purchase decision-making process in social commerce: A social learning perspective," International Journal of Information Management, Elsevier, vol. 37(6), pages 627-638.
  • Handle: RePEc:eee:ininma:v:37:y:2017:i:6:p:627-638
    DOI: 10.1016/j.ijinfomgt.2017.05.001
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    References listed on IDEAS

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    1. Kim, Sanghyun & Park, Hyunsun, 2013. "Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance," International Journal of Information Management, Elsevier, vol. 33(2), pages 318-332.
    2. Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
    3. Mun Y. Yi & Fred D. Davis, 2003. "Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition," Information Systems Research, INFORMS, vol. 14(2), pages 146-169, June.
    4. Chen, Aihui & Lu, Yaobin & Wang, Bin & Zhao, Ling & Li, Ming, 2013. "What drives content creation behavior on SNSs? A commitment perspective," Journal of Business Research, Elsevier, vol. 66(12), pages 2529-2535.
    5. Wang, Yi-Shun & Yeh, Ching-Hsuan & Liao, Yi-Wen, 2013. "What drives purchase intention in the context of online content services? The moderating role of ethical self-efficacy for online piracy," International Journal of Information Management, Elsevier, vol. 33(1), pages 199-208.
    6. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    7. Michael O’Fallon & Kenneth Butterfield, 2012. "The Influence of Unethical Peer Behavior on Observers’ Unethical Behavior: A Social Cognitive Perspective," Journal of Business Ethics, Springer, vol. 109(2), pages 117-131, August.
    8. Bai, Yan & Yao, Zhong & Dou, Yi-Fan, 2015. "Effect of social commerce factors on user purchase behavior: An empirical investigation from renren.com," International Journal of Information Management, Elsevier, vol. 35(5), pages 538-550.
    9. Shanmugam, Mohana & Sun, Shiwei & Amidi, Asra & Khani, Farzad & Khani, Fariborz, 2016. "The applications of social commerce constructs," International Journal of Information Management, Elsevier, vol. 36(3), pages 425-432.
    10. Isabel Riquelme & Sergio Román, 2014. "The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception: A Comparison Between Online and Offline Retailing Contexts," Journal of Business Ethics, Springer, vol. 119(3), pages 405-422, February.
    11. Hajli, Nick, 2015. "Social commerce constructs and consumer's intention to buy," International Journal of Information Management, Elsevier, vol. 35(2), pages 183-191.
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