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Motivational Factors for Users’ Reposting Behavior in Different Mobile UGC Online Communities

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 594))

Abstract

With the popularity of mobile user-generated-content (UGC) online communities, it is important to explore why the same users behave differently in different UGC communities. This study was conducted to investigate motivational factors for users’ reposting behavior in two UGC communities with Chinese young adults. A field experiment was conducted, where users were required to interact with two high fidelity prototypes of mobile UGC community applications. The results indicated that interface usability, information credibility, information usefulness, affect and community reputation had both direct and indirect effects on users’ reposting behavior. In addition, several factors exerted differential effects for the two UGC communities. Information usefulness was important for higher reputation in the UGC community that was featured by its quality of content, while interface usability focused more on quality of interfaces. This study has important implications for the understanding of key factors that influence viral diffusion of online content through different UGC communities.

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References

  1. Li, H., Liu, Y.: Understanding post-adoption behaviors of e-service users in the context of online travel services. Inf. Manag. 51(8), 1043–1052 (2014)

    Article  Google Scholar 

  2. Parameswaran, M., Whinston, A.B.: Social computing: an overview. Commun. Assoc. Inf. Syst. 19(1), 762–780 (2007)

    Google Scholar 

  3. Sun, N., Rau, P.P.-L., Ma, L.: Understanding lurkers in online communities: a literature review. Comput. Hum. Behav. 38, 110–117 (2014)

    Article  Google Scholar 

  4. Malinen, S.: Understanding user participation in online communities: a systematic literature review of empirical studies. Comput. Hum. Behav. 46, 228–238 (2005)

    Article  Google Scholar 

  5. Song, Y., Dai, X.-Y., Wang, J.: Not all emotions are created equal: expressive behavior of the networked public on China’s social media site. Comput. Hum. Behav. 60, 525–533 (2016)

    Article  Google Scholar 

  6. Williams, R.-L., Cothrel, J.: Four smart ways to run online communities. MIT Sloan Manag. Rev. 41(4), 81 (2000)

    Google Scholar 

  7. Kim, A.-J.: Community Building on the Web: Secret Strategies for Successful Online Communities. Addison-Wesley Longman Publishing Co., Inc., Boston (2000)

    Google Scholar 

  8. Bateman, P., Gray, P., Butler, B.: Community commitment: how affect, obligation, and necessity drive online behaviors. In: Proceedings of ICIS 2006, vol. 63 (2006)

    Google Scholar 

  9. Chang, H.H., Chuang, S.-S.: Social capital and individual motivations on knowledge sharing: participant involvement as a moderator. Inf. Manag. 48(1), 9–18 (2011)

    Article  Google Scholar 

  10. Chen, C.-J., Hung, S.-W.: To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Inf. Manag. 47(4), 226–236 (2010)

    Article  Google Scholar 

  11. Jadin, T., Gnambs, T., Batinic, B.: Personality traits and knowledge sharing in online communities. Comput. Hum. Behav. 29(1), 210–216 (2013)

    Article  Google Scholar 

  12. Ma, M., Agarwal, R.: Through a glass darkly: information technology design, identity verification, and knowledge contribution in online communities. Inf. Syst. Res. 18(1), 42–67 (2007)

    Article  Google Scholar 

  13. Nov, O., Ye, C., Kumar, N.: A social capital perspective on meta-knowledge contribution and social computing. Decis. Support Syst. 53(1), 118–126 (2012)

    Article  Google Scholar 

  14. Tseng, F.-C., Kuo, F.-Y.: The way we share and learn: an exploratory study of the self-regulatory mechanisms in the professional online learning community. Comput. Hum. Behav. 26(5), 1043–1053 (2010)

    Article  Google Scholar 

  15. Lin, X., Lachlan, K.A., Spence, P.R.: Exploring extreme events on social media: a comparison of user reposting/retweeting behaviors on Twitter and Weibo. Comput. Hum. Behav. 65, 576–581 (2016)

    Article  Google Scholar 

  16. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1998)

    Article  Google Scholar 

  17. Agag, G., El-Masry, A.A.: Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: an integration of innovation diffusion theory and TAM with trust. Comput. Hum. Behav. 60, 97–111 (2016)

    Article  Google Scholar 

  18. Bahtar, A.Z., Muda, M.: The impact of User-Generated Content (UGC) on product reviews towards online purchasing–a conceptual framework. Procedia Econ. Finance 37, 337–342 (2016)

    Article  Google Scholar 

  19. Sussman, S.W., Siegal, W.S.: Informational influence in organizations: an integrated approach to knowledge adoption. Inf. Syst. Res. 14(1), 47–65 (2003)

    Article  Google Scholar 

  20. Nielsen, J.: Usability Engineering. Morgan Kaufmann, San Francisco (1994)

    MATH  Google Scholar 

  21. Lee, D., Moon, J., Kim, Y.J., Mun, Y.Y.: Antecedents and consequences of mobile phone usability: linking simplicity and interactivity to satisfaction, trust, and brand loyalty. Inf. Manag. 52(3), 295–304 (2015)

    Article  Google Scholar 

  22. Bhattacherjee, A.: Understanding information systems continuance: an expectation-confirmation model. MIS Q. 25, 351–370 (2001)

    Google Scholar 

  23. Wathen, C.N., Burkell, J.: Believe it or not: factors influencing credibility on the web. J. Am. Soc. Inf. Sci. Technol. 53(2), 134–144 (2002)

    Article  Google Scholar 

  24. McKnight, D.H., Kacmar, C.J.: Factors and effects of information. In: Proceedings of the Ninth International Conference on Electronic Commerce, pp. 423–432. ACM (2007)

    Google Scholar 

  25. Verhellen, Y., Dens, N., De Pelsmacker, P.: Consumer responses to brands placed in youtube movies: the effect of prominence and endorser expertise. J. Electron. Commer. Res. 14(4), 287 (2013)

    Google Scholar 

  26. Ayeh, J.K., Au, N., Law, R.: “Do We Believe in TripAdvisor?” examining credibility perceptions and online travelers’ attitude toward using User-Generated Content. J. Travel Res. 52(4), 437–452 (2013)

    Article  Google Scholar 

  27. Chaudhuri, A., Holbrook, M.-B.: The chain of effects from brand trust and brand affect to brand performance: the role of brand loyalty. J. Mark. 65(2), 81–93 (2001)

    Article  Google Scholar 

  28. Lau, G.-T., Lee, S.-H.: Consumers’ trust in a brand and the link to brand loyalty. J. Mark. Focused Manag. 4(4), 341–370 (1999)

    Article  Google Scholar 

  29. Elling, S., Lentz, L., de Jong, M., et al.: Measuring the quality of governmental websites in a controlled versus an online setting with the ‘Website Evaluation Questionnaire’. Gov. Inf. Q. 29(3), 383–393 (2012)

    Article  Google Scholar 

  30. Belanche, D., Casaló, L.-V., Guinalíu, M.: Website usability, consumer satisfaction and the intention to use a website: the moderating effect of perceived risk. J. Retail. Consum. Serv. 19(1), 124–132 (2012)

    Article  Google Scholar 

  31. DeVellis, R.F.: Scale Development: Theory and Applications. Sage, Thousand Oaks (2003)

    Google Scholar 

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Acknowledgements

The authors are grateful for the financial supports from National Natural Science Foundation of China (Grant No. 71502111).

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Correspondence to Xingyu Chen .

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Chen, X., Tian, D., Tao, D., Qu, X. (2018). Motivational Factors for Users’ Reposting Behavior in Different Mobile UGC Online Communities. In: Kantola, J., Barath, T., Nazir, S. (eds) Advances in Human Factors, Business Management and Leadership. AHFE 2017. Advances in Intelligent Systems and Computing, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-319-60372-8_24

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  • DOI: https://doi.org/10.1007/978-3-319-60372-8_24

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  • Publisher Name: Springer, Cham

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