An Empirical Study on the Motivations of Individuals’ Retweeting Intention on Sina Weibo
Authors: 
Juan Shi and Gang ChenAuthors Info & Claims
Juan Shi and Gang ChenAuthors Info & ClaimsJune 2021
Pages 42 - 47
Abstract
Users’ retweeting behavior is critical to information dissemination on SNS and has obtained lots of attention from both academia and industry. Researcher have identified lots of factors that have a significant impact on individuals’ sharing behavior. However, few research has been conducted on the motivations of individuals’ sharing behavior. In the current work, we carry out a questionnaire study to explore the motivations of Sina weibo users’ sharing behavior. 303 Sina Weibo users participate in the survey. Results of structural equation modeling (SEM) show that both online persona consistency and perceived reputation enhancement positively mediate the relationship between topical familiarity and individual sharing intention. What's more, online persona consistency is stronger than perceived reputation enhancement in driving individuals’ daily retweeting behavior on Sina Weibo.
References
[1]
Shi, Z., Rui, H. and Whinston, A. B. (2014), ‘Content sharing in a social broadcasting environment: evidence from twitter’, Management Information Systems Quarterly 38(1), 123–142.
[2]
Geva, H., Oestreicher-Singer, G. and Saar-Tsechansky, M. (2019), ‘Using retweets when shaping our online persona: Topic modeling approach’, Management Information Systems Quarterly 43(2), 501–524.
[3]
Goffman, E. (1978), The presentation of self in everyday life, Harmondsworth.
[4]
Barasch, A. and Berger, J. (2014), ‘Broadcasting and narrowcasting: How audience size affects what people share’, Journal of Marketing Research 51(3), 286–299.
[5]
Berger, J. (2014), ‘Word of mouth and interpersonal communication: A review and directions for future research’, Journal of consumer psychology 24(4), 586–607.
[6]
Teichmann, K., Stokburgersauer, N., Plank, A. and Strobl, A. (2015), ‘Motivational drivers of content contribution to company- versus consumer-hosted online communities’, Psychology & Marketing 32(3), 341– 355.
[7]
Labrecque, L. I., Markos, E. and Milne, G. R. (2011), ‘Online personal branding: Processes, challenges, and implications’, Journal of Interactive Marketing 25(1), 37–50.
[8]
Shi, J., Lai, K. K., Hu, P. and Chen, G. (2018), ‘Factors dominating individual information disseminating behavior on social networking sites’, Information Technology and Management 19(2), 121–139.
[9]
Malhotra, N. K. (1984), ‘Reflections on the information overload paradigm in consumer decision making’, Journal of Consumer Research 10(4), 436–440.
[10]
Rabjohn, N., Cheung, C. M. and Lee, M. K. (2008), Examining the perceived credibility of online opinions: Information adoption in the online environment, in ‘Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008)’, IEEE.
[11]
DeLone, W. H. and McLean, E. R. (1992), ‘Information systems success: The quest for the dependent variable’, Information Systems Research 3(1), 60–95.
[12]
Filieri, R. and McLeay, F. (2014), ‘E-WOM and accommodation e-wom and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews’, Journal of Travel Research 53(1), 44–57.
[13]
Zhang, Y., Moe, W. W. and Schweidel, D. A. (2017), ‘Modeling the role of message content and influencers in social media rebroadcasting’, International Journal of Research in Marketing 34(1), 100–119.
[14]
Shi, J., Lai, K. K., Hu, P. and Chen, G. (2017), ‘Understanding and predicting individual retweeting behavior: Receiver perspectives’, Applied Soft Computing 60, 844–857.
[15]
Shi, J., Hu, P., Lai, K. K. and Chen, G. (2018), ‘Determinants of users’ information dissemination behavior on social networking sites: An elaboration likelihood model perspective’, Internet Research 28(2), 393–418.
[16]
Shepherd, I. D. H. (2005), ‘From cattle and coke to charlie: Meeting the challenge of self marketing and personal branding’, Journal of Marketing Management 21, 589–606.
[17]
Wasko, M. M. and Faraj, S. (2005), ‘Why should i share? examining social capital and knowledge contribution in electronic networks of practice’, MIS quarterly pp. 35–57.
[18]
Shepherd, I. D. H. (2005), ‘From cattle and coke to charlie: Meeting the challenge of self marketing and personal branding’, Journal of Marketing Management 21, 589–606.
[19]
Chiu, C.-M., Hsu, M.-H. and Wang, E. T. (2006), ‘Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories’, Decision support systems 42(3), 1872–1888.
[20]
Sirgy, M. J., Grewal, D., Mangleburg, T. F., Park, J.-o., Chon, K.-S., Claiborne, C. B., Johar, J. S. and Berkman, H. (1997), ‘Assessing the predictive validity of two methods of measuring self-image congruence’, Journal of the academy of marketing science 25(3), 229.
[21]
Lee, C. S. and Ma, L. (2012), ‘News sharing in social media: The effect of gratifications and prior experience’, Computers in human behavior 28(2), 331–339.
[22]
Bhattacherjee, A. and Sanford, C. (2006), ‘Influence processes for information technology acceptance: An elaboration likelihood model’, MIS quarterly pp. 805–825.
[23]
Fornell, C. and Larcker, D. F. (1981), ‘Evaluating structural equation models with unobservable variables and measurement error’, Journal of marketing research 18(1), 39–50.
[24]
Luo, P. and Bao, Z. (2013), ‘Affectivity, emotional exhaustion, and service sabotage behavior: The mediation role of rumination’, Social Behavior and Personality: an international journal 41(4), 651–661.
[25]
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y. and Podsakoff, N. P. (2003), ‘Common method biases in behavioral research: A critical review of the literature and recommended remedies.’, Journal of Applied Psychology 88(5), 879–903.
[26]
Sun, Y., Lim, K. H., Jiang, C., Peng, J. Z. and Chen, X. (2010), ‘Do males and females think in the same way? an empirical investigation on the gender differences in web advertising evaluation’, Computers in Human Behavior 26(6), 1614–1624.
[27]
Kim, D. (2006), ‘Information system innovations and supply chain management: Channel relationships and firm performance’, Journal of the Academy of Marketing Science 34(1), 40–54.
[28]
Tianru Gao, A. H. (2019), ‘The influence mechanism between workplace ostracism and knowledge hiding: A moderated chain mediation model’, Nankai Business Review 22(03), 15–27.
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June 2021
174 pages
ISBN:9781450389600
DOI:10.1145/3474880
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Published: 01 December 2021
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ICEBT 2021
ICEBT 2021: 2021 5th International Conference on E-Education, E-Business and E-Technology
June 18 - 20, 2021
Beijing, China
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