2019
DOI: 10.3390/su11020339
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Social Capital on Consumer Knowledge-Sharing in Virtual Brand Communities: The Mediating Effect of Pan-Family Consciousness

Abstract: Literature investigating social capital theory and Chinese family culture suggests that social capital exists in virtual brand communities, bringing convenience to members, contributing to the cultivation of pan-family consciousness, and affecting consumer knowledge-sharing. In this study, we considered members of virtual brand communities as the research subjects, then analyzed the data using SPSS19.0 and AMOS21.0. We showed that network density, shared language, and shared vision of social capital have a pos… Show more

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Cited by 26 publications
(28 citation statements)
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“…Activities that usually made the KN refers to a case of online social networking where KS occurs through links on the network, which is based on the voluntary participation of members with common interests and goals [31]. Therefore, the type of KN is characterized by two types: interaction type and database type [32]. Interaction type KN is a network where members share their knowledge and experience by posting or answering questions.…”
Section: Competitive Knowledge Network (Ckn)mentioning
confidence: 99%
“…Activities that usually made the KN refers to a case of online social networking where KS occurs through links on the network, which is based on the voluntary participation of members with common interests and goals [31]. Therefore, the type of KN is characterized by two types: interaction type and database type [32]. Interaction type KN is a network where members share their knowledge and experience by posting or answering questions.…”
Section: Competitive Knowledge Network (Ckn)mentioning
confidence: 99%
“…Many researchers have tried to apply conventional knowledge-sharing theories and frameworks to online knowledge-sharing behavior. They have attempted to utilize classical theories of psychology, sociology, and economics to explain users' knowledge-sharing motivations, such as altruism, self-efficacy, entertainment value, emotional value, and informative value [3,[60][61][62]. In addition to various motivations, they have also addressed the effects of different personal incentive mechanisms (e.g., reciprocity, common vision, community attachment) on knowledge-sharing intention and behaviors [63][64][65].…”
Section: Opinion Leadermentioning
confidence: 99%
“…With the abandonment of the conventional method of knowledge organization and classification mainly designed by community architects and managers, online knowledge-sharing communities are increasingly adopting a user-led knowledge-sharing mode. Members of online groups rally around specific topics (e.g., a stock, an investment-grade bond, or private equity), share knowledge, or act as mentors [3]. Each online user is free to attach labels, create investment-related topics, and join groups of interest as an in-group member to share their knowledge.…”
Section: Introductionmentioning
confidence: 99%
“…Because social stability is foundation of a regional development and openness is lubricant for its prosperity, consequently stable and open development also has significance in the Tibetans' cultural adaptive distinctions [15]. In summary, our purpose is to explore the direct and intermediate effects [75] that impact Tibetans' cultural adaptive differences in seven aspects, including observance of traditional culture, influence of modern culture, application of technology, policies, religious beliefs, globalization, as well as social stable and open development. Figure 2 shows Shigatse city's geographical location.…”
Section: Study On the Contemporary Local Cultural Adaptive Differencementioning
confidence: 99%
“…We successfully distributed a total of 65 questionnaires, including 59 valid questionnaires; the questionnaires were distributed according to the standard ratio of 1:87, and the questionnaires effective rate was 90.77% during the investigation. Furthermore, studies have shown that scientific small-sample data can also explain the scientific problems to be studied [75,79]. Thus, the sample data is representative and can explain the Tibetan people's cultural adaptive differences.…”
Section: Data Collectionmentioning
confidence: 99%