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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
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)
Parameswaran, M., Whinston, A.B.: Social computing: an overview. Commun. Assoc. Inf. Syst. 19(1), 762–780 (2007)
Sun, N., Rau, P.P.-L., Ma, L.: Understanding lurkers in online communities: a literature review. Comput. Hum. Behav. 38, 110–117 (2014)
Malinen, S.: Understanding user participation in online communities: a systematic literature review of empirical studies. Comput. Hum. Behav. 46, 228–238 (2005)
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)
Williams, R.-L., Cothrel, J.: Four smart ways to run online communities. MIT Sloan Manag. Rev. 41(4), 81 (2000)
Kim, A.-J.: Community Building on the Web: Secret Strategies for Successful Online Communities. Addison-Wesley Longman Publishing Co., Inc., Boston (2000)
Bateman, P., Gray, P., Butler, B.: Community commitment: how affect, obligation, and necessity drive online behaviors. In: Proceedings of ICIS 2006, vol. 63 (2006)
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)
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)
Jadin, T., Gnambs, T., Batinic, B.: Personality traits and knowledge sharing in online communities. Comput. Hum. Behav. 29(1), 210–216 (2013)
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)
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)
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)
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)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1998)
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)
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)
Sussman, S.W., Siegal, W.S.: Informational influence in organizations: an integrated approach to knowledge adoption. Inf. Syst. Res. 14(1), 47–65 (2003)
Nielsen, J.: Usability Engineering. Morgan Kaufmann, San Francisco (1994)
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)
Bhattacherjee, A.: Understanding information systems continuance: an expectation-confirmation model. MIS Q. 25, 351–370 (2001)
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)
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)
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)
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)
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)
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)
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)
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)
DeVellis, R.F.: Scale Development: Theory and Applications. Sage, Thousand Oaks (2003)
Acknowledgements
The authors are grateful for the financial supports from National Natural Science Foundation of China (Grant No. 71502111).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-60372-8_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60371-1
Online ISBN: 978-3-319-60372-8
eBook Packages: EngineeringEngineering (R0)