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Product recommendation in online social networking communities: An empirical study of antecedents and a mediator

  • Hanpeng Zhang*
  • , Zhaohua Wang
  • , Shengjun Chen
  • , Chengqi Guo
  • *Corresponding author for this work
    • Southwestern University of Finance and Economics
    • Beijing Institute of Technology
    • University of International Business and Economics
    • James Madison University

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Intention to facilitate individual voluntary product recommendation in online social networking communities has attracted increased attention. However, it is not obvious why individuals recommend products in a community composed of non-transactional users. What are the critical factors influencing such a behavior? To attempt to provide insights into the product recommendation behavior in online social networking communities, we develop a model to investigate the effects of community atmospheric cues on affective social distance and subsequent product recommendations based on the stimulus–organism–response paradigm. By analyzing the results of a survey using a questionnaire, we found that community reciprocity and community receptivity have a direct influence on product recommendation, while community atmospheric cues have an indirect influence through affective social distance. Theoretical and managerial implications are discussed.

    Original languageEnglish
    Pages (from-to)185-195
    Number of pages11
    JournalInformation and Management
    Volume56
    Issue number2
    DOIs
    Publication statusPublished - Mar 2019

    Keywords

    • Affective social distance
    • Community receptivity
    • Community reciprocity
    • Product recommendation

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