KOREASCHOLAR

INVESTIGATING THE DEVELOPMENT OF BRAND LOYALTY IN BRAND COMMUNITIES FROM A POSITIVE PSYCHOLOGY PERSPECTIVE

Chia-Wu Lin, Kai-Yu Wang, Shu-Hao Chang, Jin-An Lin
  • LanguageENG
  • URLhttp://db.koreascholar.com/Article/Detail/315199
Global Marketing Conference
2016 Global Marketing Conference at Hong Kong (2016.07)
p.1380
글로벌지식마케팅경영학회 (Global Alliance of Marketing & Management Associations)
Abstract

Brand communities have been increasingly used by marketers to build brands. A brand community can be defined as a “…group of consumers with a shared enthusiasm for the brand and a well-developed social identity, whose members engage jointly in group actions to accomplish collective goals and/or express mutual sentiments and commitments” (Bagozzi and Dholakia, 2006, p. 45). Recent research on brand communities has begun to identify the importance of consumers’ psychological processes in regard to developing successful brand communities. Based on the flow theory from positive psychology, we propose that flow could be generated by brand community characteristics and plays an important role in influencing brand community members’ attitudes toward the brand. Specifically, we propose a model that identifies brand community characteristics (i.e., community cohesiveness and information quality) that produce flow experience and how the flow experience impacts brand identification and brand loyalty. Members from 31 automobile brand communities participated in this survey study, and 580 validated questionnaires were returned. Structural Equation Model was used to test the research hypotheses. The results show that community cohesiveness and information quality positively directly influence brand identification and also indirectly influence brand identification via flow. Flow also positively influences members’ brand identification and, subsequently, impacts brand loyalty. The results from our research contribute to the branding, brand community, and flow theory literature.

Author
  • Chia-Wu Lin
  • Kai-Yu Wang
  • Shu-Hao Chang
  • Jin-An Lin