Knowledge Adoption in Online Communities of Practice

Wei, Zhang; Watts, Stephanie

doi:10.3917/sim.162.0067

Cited by 37 publications

(41 citation statements)

References 41 publications

(36 reference statements)

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“…But the empirical results of this study show that the impact of opinion leaders' popularity on trust of consumers was not significant. This is not consistent with previous studies of Cheung (2007), Zhang & Watts (2003), etcError! Reference source not found.Error!…”

Section: Influence Of Recommended Informationcontrasting

confidence: 54%

Can Opinion Leader Influences the Purchase Intension of Online Consumer

Meng¹,

Wei²

2016

IJUNESST

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Section: Influence Of Recommended Informationcontrasting

confidence: 54%

Can Opinion Leader Influences the Purchase Intension of Online Consumer

Meng¹,

Wei²

2016

IJUNESST

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“…The importance of these two elements has been validated in numerous research studies (Davy, 2006;Hong, 2006;Sundar, KnoblochWesterwick, & Hastall, 2007;Zhang & Watts, 2003). Argument quality in information system research refers to the persuasive strength embedded in the message and end-users' perceptions of the value of the produced output.…”

Section: Information Adoption Model (Iam)mentioning

confidence: 96%

Influence of Social Media on Chinese Students’ Choice of an Overseas Study Destination: An Information Adoption Model Perspective

Shu¹,

Scott

2014

Journal of Travel & Tourism Marketing

126

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This study is an experimental investigation of the influence of social media on choosing an overseas study destination. The elaboration likelihood model of communication and persuasion provides a conceptual basis for this study. Data was collected through convenience sampling of Chinese students from three Brisbane tertiary institutions. Participants were provided with one of the four treatments with manipulated stimuli. Results suggest that social media content is an influential factor in determining destination attractiveness, and may, if correctly specified, facilitate high elaboration and generate corresponding positive or negative impressions of the study destination from students.

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“…Several studies have shown that organizations increasingly rely on external knowledge sources such as online Q&A communities because of increasing knowledge demands and limited availability of expertise and knowledge within their internal knowledge repositories [Constant et al 1996;Wasko and Faraj 2005;Zhang and Watts 2003]. In addition to organizations and companies, individuals also seek knowledge related to product usage and problem solving in online communities [Lee et al 2006].…”

Section: Introductionmentioning

confidence: 99%

An Analytical Framework for Understanding Knowledge-Sharing Processes in Online Q&A Communities

Wang

et al. 2014

ACM Trans. Manage. Inf. Syst.

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Online communities have become popular knowledge sources for both individuals and organizations. Computer-mediated communication research shows that communication patterns play an important role in the collaborative efforts of online knowledge-sharing activities. Existing research is mainly focused on either user egocentric positions in communication networks or communication patterns at the community level. Very few studies examine thread-level communication and process patterns and their impacts on the effectiveness of knowledge sharing. In this study, we fill this research gap by proposing an innovative analytical framework for understanding thread-level knowledge sharing in online Q&A communities based on dialogue act theory, network analysis, and process mining. More specifically, we assign a dialogue act tag for each post in a discussion thread to capture its conversation purpose and then apply graph and process mining algorithms to examine knowledge-sharing processes. Our results, which are based on a real support forum dataset, show that the proposed analytical framework is effective in identifying important communication, conversation, and process patterns that lead to helpful knowledge sharing in online Q&A communities.

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Knowledge Adoption in Online Communities of Practice

Abstract: In this study, we investigate how members of text-based, asynchronous

Cited by 37 publications

References 41 publications

Can Opinion Leader Influences the Purchase Intension of Online Consumer

Can Opinion Leader Influences the Purchase Intension of Online Consumer

Influence of Social Media on Chinese Students’ Choice of an Overseas Study Destination: An Information Adoption Model Perspective

An Analytical Framework for Understanding Knowledge-Sharing Processes in Online Q&A Communities

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