Virtual Community Loyalty: An Interpersonal-Interaction Perspective

Shen, Yung-Cheng; Huang, Chun‐Yao; Chu, Chia-Hsien; Liao, Hui-Chun

doi:10.2753/jec1086-4415150102

Cited by 183 publications

(156 citation statements)

References 72 publications

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“…Social commerce research is also concerned with research on social processes (12 %) (e.g., Adjei et al 2010;Amblee and Bui 2011;Chen et al 2009;Forman et al 2008;Garg et al 2011;Gruner et al 2014;Pentina et al 2008;Shen et al 2010;Takac et al 2011;Trusov et al 2013;Wei et al 2011;Xu et al 2008;Zheng et al 2011). Fifty-seven percent of the analyzed articles investigate social networking sites, 29 % are related to social shopping websites, and only one article focuses on group buying websites and another one on presentation sites.…”

Section: Research Theme: Social Processmentioning

confidence: 99%

“…Further studies focus on the impact of interaction between users of online social networks on new product adoption and diffusion (Garg et al 2011;Gruner et al 2014;Xu et al 2008;Trusov et al 2013) as well as on the development of customer loyalty (Chen et al 2009;Shen et al 2010). As discussed by Wang and Chang (2013), a number of researchers have suggested that close friends and family of users (strong ties) are more likely to impact users' purchase decisions, hence also the adoption of new products, than users' distant friends/ acquaintances (weak ties).…”

Section: Research Theme: Social Processmentioning

confidence: 99%

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Social commerce—state-of-the-art and future research directions

Baethge

Klier

2016

Electron Markets

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In recent years, social commerce evolved into an emerging phenomenon of global interest for marketers, businesses, and researchers alike. In light of this development, it is not surprising that the number of publications focusing on this phenomenon at the interplay of electronic commerce and social media has been rising substantially. The goal of this paper is to provide a structured overview of social commerce research by means of a structured literature review. Based on our literature search between 2007 and 2014 resulting in 116 published papers, we carve out and assess the knowledge and the research areas that have been predominantly addressed by the Information Systems, Electronic Commerce, and Marketing research community so far. By providing a research agenda, we hope that our results will stimulate and guide future research in this exciting field.

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Section: Research Theme: Social Processmentioning

confidence: 99%

Section: Research Theme: Social Processmentioning

confidence: 99%

Social commerce—state-of-the-art and future research directions

Baethge

Klier

2016

Electron Markets

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“…Researchers have found the trust building mechanism exists in establishing a new trust relationship between two sufficiently similar users based on similarity [23] [26] [36] [37]. Walczuch, R. and H. Lundgren (2004) believe that people with a high level of perceived similarity tend to attract one another more; thus, members tend to be more influenced by the norms and values of similar members than dissimilar ones [29], contributing to the development of close relationships and trust.…”

Section: Perceived Similarity and Trustmentioning

confidence: 99%

Antecedents of Social Network Trust in SNS Usage: The Moderating Role of Offline Familiarity

Wang

2017

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With the rapid development of social networks, there is a focus on marketing strategies and business models that are based on social media. In the academic world, scholars believe that online trust is a key factor contributing to online purchasing behavior. This article explored several factors in social media trust and verified the moderating role of offline familiarity by using relevant research on online trust in conjunction with a structure equation model. The results show that independent variables such as reputation, SNS interaction, information quality, reciprocity, satisfaction and shared values have a positive influence on trust, whereas perceived similarity does not, and information quality is the most important factor. In addition, offline familiarity significantly moderates the relations between information quality, reciprocity, reputation, shared values and social media trust. This information is important to assist companies in developing an effective social network marketing strategy.

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“…Social interaction approach in Shen et al (2010) observed interpersonal interaction experience as the main service provided by online community. Referring to Hummel and Lechner (2002), communication services such as online chat or forum features support most online communication activities and facilitate social interaction in an online community.…”

Section: Social Interactionmentioning

confidence: 99%

“…Referring to Hummel and Lechner (2002), communication services such as online chat or forum features support most online communication activities and facilitate social interaction in an online community. Successful interaction in an online communite can be seen from the any available effort to enable the occurance of social interaction among members (Matzat, 2010;Shen et al, 2010). Wang and Fesenmaier (2003) explain that one of the reasons consumers join an online community is to satisfy their social needs; the needs to interact socially with other people who share similar interests.…”

Section: Social Interactionmentioning

confidence: 99%

Commitment to Online Community and Continuance Intention: Issue Involvement, Interactivity, and Social Interaction

Kusumasondjaja

2017

jbm

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Abstrak Penelitian ini bertujuan untuk menguji bagaimana issue involvement, online interactivity, dan social interaction AbstractThe purposes of this study is to investigate how issue involvement, online interactivity, and social interaction influence consumer commitment to online travel community and intention to continue participating in the community. An online traveling forum was examined as the issues being observed in this study are highly relevant with the forum. Based on 135 valid responses from active members of the forum obtained through distributing online questionnaire in the forum, structural equation modelling was employed to examine the research model. The results show that issue involvement and social interaction affect commitment to the community; while surprisingly social interaction does not have significant influence on the commitment. Moreover, commitment to the community leads consumers to continue their participation in the community. Managerial contributions and limitations of the study are discussed.

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Virtual Community Loyalty: An Interpersonal-Interaction Perspective

Cited by 183 publications

References 72 publications

Social commerce—state-of-the-art and future research directions

Social commerce—state-of-the-art and future research directions

Antecedents of Social Network Trust in SNS Usage: The Moderating Role of Offline Familiarity

Commitment to Online Community and Continuance Intention: Issue Involvement, Interactivity, and Social Interaction

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