Information Acquisition, Persuasion, and Group Conformity of Online Tribalism: Does User Activeness Matter?

Information Acquisition, Persuasion, and Group Conformity of Online Tribalism: Does User Activeness Matter?

Jie Meng
Copyright: © 2022 |Volume: 18 |Issue: 2 |Pages: 23
ISSN: 1548-1131|EISSN: 1548-114X|EISBN13: 9781799893790|DOI: 10.4018/IJEBR.288036
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MLA

Meng, Jie. "Information Acquisition, Persuasion, and Group Conformity of Online Tribalism: Does User Activeness Matter?." IJEBR vol.18, no.2 2022: pp.1-23. http://doi.org/10.4018/IJEBR.288036

APA

Meng, J. (2022). Information Acquisition, Persuasion, and Group Conformity of Online Tribalism: Does User Activeness Matter?. International Journal of E-Business Research (IJEBR), 18(2), 1-23. http://doi.org/10.4018/IJEBR.288036

Chicago

Meng, Jie. "Information Acquisition, Persuasion, and Group Conformity of Online Tribalism: Does User Activeness Matter?," International Journal of E-Business Research (IJEBR) 18, no.2: 1-23. http://doi.org/10.4018/IJEBR.288036

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Abstract

Though empirically some research suggests the linkage of better communication effect with active users' presence, no existing clues are found on the user activeness at the micro level to contribute to the virtual community's aggregate-level health and vitality. This paper models the interpersonal communication process via a multi-agent, self-reasoning model. It considers each agent’s information value and conformity value, two key constructs adopted in this paper. This paper adopts simulated experiments to identify active users based on individuals’ behavioural characteristics, screen out typical users of different activeness levels, and reveal causalities among the outcomes. The findings show that users' activeness determines the information vitality and influence of information dissemination and substantially impacts the dynamics of user-groups. The author concludes with a discussion of the theoretical and methodological contributions and pinpoints these findings for marketers to improve online customer relationship management.