Network Overlap and Network Blurring in Online Social Networks

Nan (Andy) Zhang, Chong (Alex) Wang

Abstract

Online communities and the online social networks embedded become a prominent medium for social interactions. The success of social media depends on users’ willingness to continue investing their time and efforts in the absence of economic rewards, making psychological attachment critical to online communities. While prior studies identify that members do develop psychological commitment to online communities, why and how the commitment arises remain underexplored. This study focuses on the relationship between network overlap, a common feature of online social networks, and affective commitment to an online community. Drawing on the commitment theory and social network boundary theory, we argue that the effect of online/offline network overlap is partially mediated by network boundary blurring. Meanwhile, contrary to industrial wisdom, the direct impact of network overlap on commitment is negative. Our empirical study supports our proposal. It indicates that it is critical to help users integrate online and offline social networks. Without success social network boundary blurring, high level of network overlap may backfire.

References

  1. Allen, N. J., and Meyer, J. P. 1996. Affective, continuance, and normative commitment to the organization: An examination of construct validity. Journal of Vocational Behavior (49:3), pp. 252-276.
  2. Altman, I. 1975. The environment and social behavior: Privacy, personal space, territory, and crowding. Cole Publishing, CA: Monterey.
  3. Bagozzi, R. P., and Yi, Y. 1988. On the evaluation of structural equation models. Journal of the Academy of Marketing Science (16:1), pp. 74-94.
  4. Bateman, P. J., Gray, P. H., and Butler, B. S. 2011. The impact of community commitment on participation in online communities. Information Systems Research (22:4), pp. 841-854.
  5. Becker, H. S. 1960. Notes on the concept of commitment. American Journal of Sociology (66:1), pp. 32-40.
  6. Brynjolfsson, E., and Smith, M. D. 2000. Frictionless commerce? A comparison of internet and conventional retailers. Management Science (46:4), pp. 563-585.
  7. Gu, B., Konana, P., Raghunathan, R., and Chen, H. M. 2014. The allure of homophily in social media: Evidence from investor responses on virtual communities. Information Systems Research (25:3), pp. 604-617.
  8. Hirschorn, M. 2007. Web 2.0 bubbles. from http:// www.theatlantic.com, retrieved on January 12, 2016.
  9. Knowledge@Wharton. 2006. Myspace, Facebook and other Social Networking Sites: Hot today, gone tomorrow? from http://knowledge.wharton.upenn.edu, retrieved on January 12, 2016.
  10. Kumar, N., and Benbasat, I. 2006. The influence of recommendations and consumer reviews on evaluations of websites. Information Systems Research (17:4), pp. 425-439.
  11. Meyer, J. P., and Allen., N. J. 1991. A three-component conceptualization of organizational commitment. Human Resource Management Review (1:1), pp. 61-89.
  12. Meyer, J. P., Irving, G. P., and Allen, N. J. 1998. Examination of the combined effects of work values and early work experiences on organizational commitment. Journal of Organizational Behavior (19), pp. 29-52.
  13. Miller, J. G. 1978. Living systems. New York: McGrawHill.
  14. Morrison, T. L. 1985. Personal and professional boundary attitudes and effective group leadership in classrooms. The Journal of Psychology: Interdisciplinary and Applied (119:2), pp. 101-111.
  15. Pierce, J. L., Kostova, T., and Dirks, K. T., 2001. Toward a theory of psychological ownership in organizations. Academy of Management Review (26:4), pp. 298-310.
  16. Reagans, R., and McEvily, B. 2003. Network structure and knowledge transfer: the effects of cohesion and range. Administrative Science Quarterly (48:2), pp. 240-267.
  17. Tang, Q., Gu, B., and Whinston, A. B. 2012. Content contribution for revenue sharing and reputation in social media: A dynamic structural model. Journal of Management Information Systems, (29:2), pp. 41-76.
  18. Tech Times, 2015. Facebook losing teen audience. Now it's just old people socializing. from: http:// www.techtimes.com, retrieved on January 12, 2016.
  19. Thompson, J. A. 2001. Commitment shift during organizational upheaval: Physicians' transitions from private practitioner to employee. In Academy of Management Proceedings (1), pp. C1-C6.
  20. Tsai, H. T., and Bagozzi, R. P. 2014. Contribution behavior in virtual communities: Cognitive, emotional, and social influences. MIS Quarterly (38:1), pp. 143-163.
  21. Wasko, M. M., and Faraj, S. 2005. Social capital and knowledge contribution. MIS Quarterly (29:1), pp. 35- 57.
  22. Xu, B., Xu, Z., and Li, D. 2015. Internet aggression in online communities: A contemporary deterrence perspective. Information Systems Journal, forthcoming.
  23. Zhang, X., and Venkatesh, V. 2013. Explaining employee job performance: Role of online and offline workplace communication networks. MIS Quarterly, (37:3), pp. 695-722.
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Paper Citation


in Harvard Style

Zhang N. and Wang C. (2016). Network Overlap and Network Blurring in Online Social Networks . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 327-332. DOI: 10.5220/0005911203270332


in Bibtex Style

@conference{iceis16,
author={Nan (Andy) Zhang and Chong (Alex) Wang},
title={Network Overlap and Network Blurring in Online Social Networks},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={327-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005911203270332},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Network Overlap and Network Blurring in Online Social Networks
SN - 978-989-758-187-8
AU - Zhang N.
AU - Wang C.
PY - 2016
SP - 327
EP - 332
DO - 10.5220/0005911203270332