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Application of the stimuli-organism-response framework to factors influencing social commerce intentions among social network users

Author

Listed:
  • Mehdi Dashti
  • Ali Sanayei
  • Hossein Rezai Dolatabadi
  • Mohammad Hossein Moshref Javadi

Abstract

Social commerce is a new trend in e-commerce powered by social media. In this type of commerce, individuals share their knowledge, information, and experiences about different products and services. This paper employs the stimuli-organism-response model to investigate the factors affecting social commerce intentions among users of social networks a total of 514 persons on three favourite social networks in Iran (i.e., Telegram, Facebook and Cloob) were investigated. Analysis of the results applying the PLS-SEM approach disclosed that firstly website or application quality, perceived interactivity, and subjective norms act as stimuli to influence, relationship quality, social support, and attitudes toward social commerce as organisms, respectively; furthermore, the latter two organisms are also impacted by social commerce construct, which is a stimulus; and perceived interactivity impacts attitudes toward social support secondly social support, relationship quality, and social attitude as organisms together with subjective norms are positively associated with social commerce intention as the response; and finally social support has a significant positive impact on relationship quality which in turn influences attitudes toward social commerce.

Suggested Citation

  • Mehdi Dashti & Ali Sanayei & Hossein Rezai Dolatabadi & Mohammad Hossein Moshref Javadi, 2019. "Application of the stimuli-organism-response framework to factors influencing social commerce intentions among social network users," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 30(2), pages 177-202.
    • Handle: RePEc:ids:ijbisy:v:30:y:2019:i:2:p:177-202
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    Citations

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    Cited by:

    1. Masood Ul Hassan & Muhammad Shahid Iqbal & Ume Habibah, 2020. "Self-Service Technology Service Quality: Building Loyalty and Intention Through Technology Trust in Pakistani Service Sector," SAGE Open, , vol. 10(2), pages 21582440209, June.
    2. Lai-Ying Leong & Teck-Soon Hew & Keng-Boon Ooi & Bhimaraya Metri & Yogesh K. Dwivedi, 2023. "Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach," Information Systems Frontiers, Springer, vol. 25(5), pages 1847-1879, October.
    3. Liu Yuan & Zhao Huang & Wei Zhao & Pavel Stakhiyevich, 2020. "Interpreting and predicting social commerce intention based on knowledge graph analysis," Electronic Commerce Research, Springer, vol. 20(1), pages 197-222, March.

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