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Do cultural norms affect social network behavior inappropriateness? A global study

Author

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  • Gupta, Manjul
  • Uz, Irem
  • Esmaeilzadeh, Pouyan
  • Noboa, Fabrizio
  • Mahrous, Abeer A.
  • Kim, Eojina
  • Miranda, Graça
  • Tennant, Vanesa M.
  • Chung, Sean
  • Azam, Akbar
  • Peters, Anicia
  • Iraj, Hamideh
  • Bautista, Virginia B.
  • Kulikova, Irina

Abstract

There is a substantial body of literature on behavior inappropriateness in face-to-face social settings; however, not much is known about what individuals consider inappropriate (or appropriate) on Internet-mediated social networks. Although online social networks enable the exchange of ideas between and among geographically and culturally diverse individuals, cultural differences across countries will likely affect individuals' perceived appropriateness of social network behaviors. To better understand this phenomenon, this study proposes a new construct of social network behavior inappropriateness (SNBI) and tests its relationship with a recently proposed national cultural dimension of personal-sexual attitudes, which captures country-level cultural norms.

Suggested Citation

  • Gupta, Manjul & Uz, Irem & Esmaeilzadeh, Pouyan & Noboa, Fabrizio & Mahrous, Abeer A. & Kim, Eojina & Miranda, Graça & Tennant, Vanesa M. & Chung, Sean & Azam, Akbar & Peters, Anicia & Iraj, Hamideh &, 2018. "Do cultural norms affect social network behavior inappropriateness? A global study," Journal of Business Research, Elsevier, vol. 85(C), pages 10-22.
    • Handle: RePEc:eee:jbrese:v:85:y:2018:i:c:p:10-22
    DOI: 10.1016/j.jbusres.2017.12.006
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    2. Manjul Gupta & Amin Shoja & Patrick Mikalef, 2022. "Toward the understanding of national culture in the success of non‐pharmaceutical technological interventions in mitigating COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1433-1450, December.
    3. Sheshadri Chatterjee & Nripendra P. Rana & Sangeeta Khorana & Patrick Mikalef & Anuj Sharma, 2023. "Assessing Organizational Users’ Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1299-1313, August.
    4. Gupta, Samrat & Deodhar, Swanand J. & Tiwari, Amit Anand & Gupta, Manjul & Mariani, Marcello, 2024. "How consumers evaluate movies on online platforms? Investigating the role of consumer engagement and external engagement," Journal of Business Research, Elsevier, vol. 176(C).
    5. Manjul Gupta & Carlos M. Parra & Denis Dennehy, 2022. "Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter?," Information Systems Frontiers, Springer, vol. 24(5), pages 1465-1481, October.

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