全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Exploring the Determinants of Perceived Irreplaceability in Online Community

DOI: 10.4236/jss.2016.42008, PP. 39-46

Keywords: Online Community, Perceived Irreplaceability, Perceived Investment, Perceived Benefit

Full-Text   Cite this paper   Add to My Lib

Abstract:

With the rapid development of online community, it is a challenge for many community operators to retain existing users. By integrating perceived investment and perceived benefit that user achieves through online community usage, we propose a research model to investigate the determinants of perceived irreplaceability of online community users. Based on the data collected from 336 users of online community, we empirically test the proposed model. The results of structural equation modeling analysis indicate that personalization, learning and hedonic value jointly determine online users’ perceived irreplaceability.

References

[1]  Zheng, Y.M., Zhao, K. and Stylianou, A. (2013) The Impacts of Information Quality and System Quality on Users’ Continuance Intention in Information-Exchange Virtual Communities: An Empirical Investigation. Decision Support Systems, 56, 513-524. http://dx.doi.org/10.1016/j.dss.2012.11.008
[2]  Bhattacharya, C.B., Rao, H. and Glynn, M.A. (1995) Understanding the Bond of Identification: An Investigation of Its Correlates among Art Museum Members. The Journal of Marketing, 59, 46-57. http://dx.doi.org/10.2307/1252327
[3]  Bhattacharya, C.B. (1998) When Customers Are Members: Customer Retention in Paid Membership Contexts. Journal of the Academy of Marketing Science, 26, 31-44. http://dx.doi.org/10.1177/0092070398261004
[4]  Ma, M. and Agarwal, R. (2007) Through a Glass Darkly: Information Technology Design, Identity Verification, and Knowledge Contribution in Online Communities. Information Systems Research, 18, 42-67. http://dx.doi.org/10.1287/isre.1070.0113
[5]  Zhao, K., Stylianou, A.C. and Zheng, Y. (2013) Predicting Users’ Continuance Intention in Virtual Communities: The Dual Intention-Formation Processes. Decision Support Systems, 55, 903-910. http://dx.doi.org/10.1016/j.dss.2012.12.026
[6]  Wang, C., Lee, M.K.O. and Hua, Z. (2015) A Theory of Social Media Dependence: Evidence from Microblog Users. Decision Support Systems, 69, 40-49. http://dx.doi.org/10.1016/j.dss.2014.11.002
[7]  Ashley, C., Noble, S.M., Donthu, N. and Lemon, K.N. (2011) Why Customers Won’t Relate: Obstacles to Relationship Marketing Engagement. Journal of Business Research, 64, 749-756. http://dx.doi.org/10.1016/j.jbusres.2010.07.006
[8]  Johnson, E.J., Bellman, S. and Lohse, G.L. (2003) Cognitive Lock-In and the Power Law of Practice. Journal of Marketing, 67, 62-75. http://dx.doi.org/10.1509/jmkg.67.2.62.18615
[9]  Kim, S.S. and Son, J.Y. (2009) Out of Dedication or Constraint? A Dual Model of Post-Adoption Phenomena and Its Empirical Test in the Context of Online Services. MIS Quarterly, 33, 49-70.
[10]  Scarpi, D. (2012) Work and Fun on the Internet: The Effects of Utilitarianism and Hedonism Online. Journal of Interactive Marketing, 26, 53-67. http://dx.doi.org/10.1016/j.intmar.2011.08.001
[11]  Calder, B.J., Malthouse, E.C. and Schaedel, U. (2009) An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness. Journal of Interactive Marketing, 23, 321-331. http://dx.doi.org/10.1016/j.intmar.2009.07.002
[12]  Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998) Multivariate Data Analysis. Prentice Hall, New York.
[13]  Nunnally, J.C. and Bernstein, I.H. (1994) Psychometric Theory. 3rd Edition, McGraw-Hill, New York.
[14]  Fornell, C. and Larcker, D.F. (1981) Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50. http://dx.doi.org/10.2307/3151312

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133