Fostering the determinants of knowledge sharing in professional virtual communities

Lin, Ming-Ji James; Hung, Shiu‐Wan; Chen, Chih‐Jou

doi:10.1016/j.chb.2009.03.008

Cited by 376 publications

(336 citation statements)

References 71 publications

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“…[16] in a study of 18 VCoPs identified 21 characteristics which could be grouped into a few types. Clearly a key factor to operational success is participants' perceived trust and commitment to both the domain and to each other [17,22,35].…”

Section: Virtual Communities Of Practicementioning

confidence: 99%

If we only knew what we know: principles for knowledge sharing across people, practices, and platforms

Dearing

Greene

Stewart

et al. 2011

Behav. Med. Pract. Policy Res.

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The improvement of health outcomes for both individual patients and entire populations requires improvement in the array of structures that support decisions and activities by healthcare practitioners. Yet, many gaps remain in how even sophisticated healthcare organizations manage knowledge. Here we describe the value of a trans-institutional network for identifying and capturing how-to knowledge that contributes to improved outcomes. Organizing and sharing on-the-job experience would concentrate and organize the activities of individual practitioners and subject their rapid cycle improvement testing and refinement to a form of collective intelligence for subsequent diffusion back through the network. We use the existing Cancer Research Network as an example of how a loosely structured consortium of healthcare delivery organizations could create and grow an implementation registry to foster innovation and implementation success by communicating what works, how, and which practitioners are using each innovation. We focus on the principles and parameters that could be used as a basis for infrastructure design. As experiential knowledge from across institutions builds within such a system, the system could ultimately motivate rapid learning and adoption of best practices. Implications for research about healthcare IT, invention, and organizational learning are discussed.

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Section: Virtual Communities Of Practicementioning

confidence: 99%

If we only knew what we know: principles for knowledge sharing across people, practices, and platforms

Dearing

Greene

Stewart

et al. 2011

Behav. Med. Pract. Policy Res.

View full text Add to dashboard Cite

show abstract

“…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: 53%

“…In other word, individuals are more likely to share knowledge when they have strong perceived relative advantage of knowledge sharing. For example, individuals in virtual communities of practice are more willing to share knowledge if they believe that "sharing knowledge will increase my solving-problem capability or it will help me in my job and improve my performance" [20]. Perceived relative advantage is assumed to be a positive motivator for knowledge sharing intention and behavior [11], [20].…”

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

confidence: 99%

“…Perceived compatibility is derived from the Innovation Diffusion Theory [46], referring to the likely belief, value and experience of knowledge contributors [20]. In other words, perceived compatibility is consistency of existing value system of individuals.…”

Section: ) Perceived Compatibilitymentioning

confidence: 99%

“…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. For example, a number of studies indicated trust as a positive factor that motivates knowledge sharing intention [20], which results in the contribution to the actual knowledge sharing behavior. However, there are some other studies suggesting that the influence of trust in knowledge sharing behavior is not significant [14].…”

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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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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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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Fostering the determinants of knowledge sharing in professional virtual communities

Cited by 376 publications

References 71 publications

If we only knew what we know: principles for knowledge sharing across people, practices, and platforms

If we only knew what we know: principles for knowledge sharing across people, practices, and platforms

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

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

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