To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities

Chen, Chih‐Jou; Hung, Shiu‐Wan

doi:10.1016/j.im.2010.03.001

Cited by 501 publications

(426 citation statements)

References 36 publications

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“…Thus, individuals who have higher self-efficacy are supposed to be more comfortable and willing to share knowledge. This belief is supported by some research studies [11], [20], [21]. Specifically, Chen and Chen [21] reported that knowledge sharing self-efficacy is positively related to the knowledge contributing and knowledge collecting behavior of members among virtual community of practice.…”

Section: A Personal Factors 1) Knowledge Sharing Self-efficacymentioning

confidence: 60%

“…The emergence of virtual communities is recognized as one possible solution to knowledge management and sharing in organizations [11]. Enabling virtual communities with the use of online interactive technologies is also believed to be a strategy for knowledge management [12].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, researchers have been investigating what factors motivate successful knowledge sharing [1], [9], [11], [13]- [21] and what factors hinder knowledge sharing among individuals [1], [11], [12], [17]. Although these studies provide useful insights into the factors that significantly affect the behavior of knowledge sharing, there are some discrepancies of findings among the different studies.…”

Section: Introductionmentioning

confidence: 99%

“…Essentially, the purpose of knowledge sharing is to improve the competitive advantage of organizations and individuals" action capability [25] through knowledge contribution and knowledge seeking for reuse [11]. Several previous research studies have addressed two main types of knowledge to be shared as tacit knowledge, which is implicit, semiconscious and unconscious knowledge within individuals" head [26] and explicit knowledge, which is expressed through certain formats [27].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Knowledge Sharing in Virtual Distributed Environments: Main Motivators, Discrepancies of Findings and Suggestions for Future Research

Chen¹,

Hew²

2015

IJIET

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Abstract-Knowledge sharing research has proposed various theories and explanations regarding individuals' intentions to share knowledge in virtual distributed communities. Although past research studies can provide useful insights into the factors that significantly affect knowledge sharing intention, there are some discrepancies of findings among the different studies. The main purpose of this paper is to review the previous empirical research studies to first identify the main theories and factors used to explain online knowledge sharing. The findings suggest that these incentive items could be grouped into three main categories: personal factors (knowledge self-efficacy, perceived relative advantage, perceived compatibility), social factors (trust, reciprocity, social network ties), and organizational factors (formal incentive mechanism). Of these factors, trust has been the most widely discussed, followed by social network ties. Next, this paper presents several main discrepancies among past research studies in order such as the notion of perceived compatibility, norm of reciprocity, and trust to provide possible directions for future studies.

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Section: A Personal Factors 1) Knowledge Sharing Self-efficacymentioning

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Knowledge Sharing in Virtual Distributed Environments: Main Motivators, Discrepancies of Findings and Suggestions for Future Research

Chen¹,

Hew²

2015

IJIET

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“…ESM use can create and strengthen social networks and interactions which may lead to trust amongst colleagues (Fang and Chiu 2010). Studies about virtual teams and distributed working found that trust was positively associated with knowledge transfer, indicating that virtual team members' interpersonal trust was enhanced by mutual communication and understanding via ESM use (Wu et al 2006, Chen andHung 2010). Therefore, it is expected the organizations that adopt ESM that are used by employees can improve trusts amongst themselves.…”

Section: Knowledge Transfer-social Capital Theorymentioning

confidence: 99%

Enterprise social media impact on human resource practices

Offong

Costello

2017

EBHRM

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Purpose:The purpose of this paper is to investigate how individual attitudes towards using enterprise social media (ESM) impacts trust, explicit and tacit knowledge sharing as well as work performance in emerging economies.Design/methodology/approach:The authors use data from a survey of 293 employed individuals in Lagos, Nigeria that work at organizations that have ESM systems. Findings:The authors find enterprise social media usage are significantly associated with trust. However, ESM use does not impact explicit or tactic knowledge transfer. Practical implications:The paper provides empirical evidence that individuals who perceive high levels of performance expectancy will engage in ESM usage which in turn increases trust amongst colleagues. Human resource managers can argue that by adopting ESM, they can facilitate improved trust and collaboration through online engagement amongst employees. This is important for multinational organizations wanting to expand into emerging economies where the organization and local workforce need to foster trust in knowledge sharing. Originality/value:There has been little evidence regarding HRM use of ESM in emerging economies. By understanding individual attitudes towards ESM and how the use impacts knowledge sharing, the academic discussions concerning use of technology to enhance knowledge sharing can continue to evolve.

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Understanding the continuance intention of knowledge sharing in online communities of practice through the post‐knowledge‐sharing evaluation processes

Cheung

Lee

2013

J Am Soc Inf Sci Tec

131

102

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Web 2.0 creates a new world of collaboration. Many online communities of practice have provided a virtualInternet platform for members to create, collaborate, and contribute their expertise and knowledge. To date, we still do not fully understand how members evaluate their knowledge-sharing experiences, and how these evaluations affect their decisions to continue sharing knowledge in online communities of practice. In this study, we examined why members continue to share knowledge in online communities of practice, through theorizing and empirically validating the factors and emergent mechanisms (post-knowledge-sharing evaluation processes) that drive continuance. Specifically, we theorized that members make judgments about their knowledgesharing behaviors by comparing their normative expectations of reciprocity and capability of helping other members with their actual experiences. We empirically tested our research model using an online survey of members of an online community of practice. Our results showed that when members found that they receive the reciprocity they expected, they will feel satisfied. Likewise, when they found that they can help other members as they expected, they will feel satisfied and their knowledge self-efficacy will also be enhanced. Both satisfaction and knowledge self-efficacy further affect their intention to continue sharing knowledge in an online community of practice. We expect this study will generate interest among researchers in this important area of research, and that the model proposed in this article will serve as a starting point for furthering our limited understanding of continuance behaviors in online communities of practice.

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To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities

Cited by 501 publications

References 36 publications

Knowledge Sharing in Virtual Distributed Environments: Main Motivators, Discrepancies of Findings and Suggestions for Future Research

Knowledge Sharing in Virtual Distributed Environments: Main Motivators, Discrepancies of Findings and Suggestions for Future Research

Enterprise social media impact on human resource practices

Understanding the continuance intention of knowledge sharing in online communities of practice through the post‐knowledge‐sharing evaluation processes

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