PBESProceedings of Business and Economic Studies2209-26412209-265XBio-Byword Scientific Publishing Pty. Ltd.10.26689/pbes.v6i3.5078ArticleResearch on the Continuous Participation of Virtual Brand Community in Decision-Making Based on Social Influence Theoryhttps://artdesignp.com/journal/PBES/6/3/10.26689/pbes.v6i3.5078LinTongfei,ZhangQiansha2023632023-06-27Based on the social influence theory, the influence of virtual brand community members’ perceived value on social influencing factors is discussed, and the influence of social influencing factors on virtual brand community members’ continuous participation in decision-making is analyzed. Through an empirical analysis of the survey data of Xiaomi users in the Xiaomi Community, the results showed that the perceived value of virtual brand community members significantly and positively affects social influencing factors, which also significantly and positively affect the members’ continuous participation in virtual brand communities. Therefore, only by sharing valuable information resources and improving the efficiency of information flow, thereby enhancing the perceived value of the community and increasing the stickiness of members to the virtual community, will we have an opportunity to enhance the interaction among members and effectively promote continuous participation in community activities through the strong bonds formed among members.

Yan X, Liu C, 2015, Research on the Participation Demand Structure and Impact of Network Brand Community Members. International Business (Journal of University of International Business and Economics), 2015(1): 131–141.

He A, Li X, 2015, Research on the Motivational Evolution Mechanism of Online Brand Community Members’ Continuous Participation Behavior Formation. Journal of Management, 2015(5): 733–743.

Wang X, Xue H, 2008, Research on the Intrinsic Motivation of Consumers to Participate in Brand Community. Business Economics and Management, 2008(10): 63–69.

Wang X, Ding Y, 2008, The Influence of Interpersonal Network on the Willingness to Use Virtual Communities. Journal of Information Management, 2008(15): 53–72.

Yu T, Zheng S, 2004, Research on Offline Chat Behavior Models in Virtual Communities. Electronic Commerce Research, 2004(2): 117–136.

Bagozzi RP, Dholakia UM, 2002, Intentional Social Action in Virtual Communities. Journal of Interactive Marketing, 16(2): 2–21.

Dholakiaa UM, Bagozzia RP, Perob LK, 2004, A Social Influence Model of Consumer Participation in Network and Small-Group-Based Virtual Communities. International Journal of Research in Marketing, 21(3): 241–263.

Okazaki S, 2009, Social Influence Model and Electronic Word of Mouth: PC Versus Mobile Internet. International Journal of Advertising, 28(3): 439–472.

Cheung CMK, Lee MKO, 2010, A Theoretical Model of Intentional Social Action in Online Social Networks. Decision Support Systems, 49(1): 24–30.

Song J, Kim YJ, 2006, Social Influence Process in the Acceptance of a Virtual Community Service. Information Systems Frontiers, 8(3): 241–252.

Zhou T, 2011, Understanding Online Community User Participation: A Social Influence Perspective. Internet Research, 21(1): 67–81.

Hogg MA, Abrams D, 1988, Social Identifications: A Social Psychology of Inter-Group Relations and Group Processes, Routledge, London.

Ellemers N, Kortekaas P, Ouwerkerk JW, 1999, Self-Categorization, Commitment to the Group, and Group Self-Esteem as Related but Distinct Aspects of Social Acknowledgement. European Journal of Social Psychology, 29(2/3): 371–381.

Pavlou PA, Fygenson M, 2006, Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior. MIS Quarterly, 30(1): 115–143.

Li X, Hess TJ, Valacich JS, 2008, Why Do We Trust New Technology? A Study of Initial Trust Formation with Organizational Information Systems. Journal of Strategic Information Systems, 17(1): 39–71.

Davis WA, 1984, A Causal Theory of Intending. American Philosophical Quarterly, 21(1): 43–54.

Shen XL, Cheung CMK, Lee MKO, et al., 2011, How Social Influence Affects We-Intention to Use Instant Messaging: The Moderating Effect of Usage Experience. Information Systems Frontiers, 13(2): 157–169.

Bagozzi RP, 1992, The Self-Regulation of Attitudes, Intentions and Behavior. Social Psychology Quarterly, 55(2): 178–204.