Knowledge Flows, Transfer, Sharing and Exchange

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    Where Affinity Meets Practice: Emerging Communities of Practice to Meet the Needs of Korean IT Professionals
    ( 2018-01-03) Kim, Ada ; Annabi, Hala
    The growing Information Technology (IT) international workforce in the US has diverse social and professional needs. Organizations offer support structures such as Affinity Groups (AGs) and Communities of Practice (CoPs) to provide social support, learning and mentoring opportunities for their members. In this paper, we examine an emerging form of a grass-root inter-organizational groups that provide such support for Korean IT employees. The paper reports on the preliminary findings of a case study of Changbal (CB), a professional and social community that combines the characteristics of AGs and CoPs. Our research examines the characteristics of CB, how the community supports employees to transition to the US workplace, and differences between CB and other AGs or CoPs. The paper reports on the implications of this new form of community on our understanding of CoPs and AGs and practical implications of the IT industry.
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    Co-membership, Networks Ties, and OSS Success: An Investigation Controlling for Alternative Mechanisms for Knowledge Flow
    ( 2018-01-03) Peng, Gang ; Yu, Feng (George) ; Peng, Yiqun
    Co-membership has been considered as a major mechanism for constructing social networks, but it has met many criticisms over time for failing to control for alternative mechanisms for knowledge flow. Although social networks constructed in online environment can reduce such possibilities, it is not without limitations. One possible mechanism for learning and knowledge flow is direct watching and observation. This study investigates the impact of co-membership taking into account the alternative mechanism of watching under the setting of OSS development at GitHub. It finds that both co-membership and watching contribute positively to OSS success, and thus shows the co-existence of both experiential learning and vicarious learning for OSS development. Moreover, it finds the impact of co-membership is much stronger than watching. While the impact of co-membership may be biased in prior literature, this study confirms that co-membership is indeed an effective mechanism for constructing online social networks for knowledge flow.
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    Exploratory Key Nodes in the Inventor-author Knowledge Diffusion Network
    ( 2018-01-03) Zhang, Guijie ; Wei, Fangfang ; Shao, Zhen
    This paper aims to mine the key nodes in the process of knowledge flow from literatures of science and technology journals to technology patents on the community level. Based on the citation of technological patents to literatures of scientific journals and the cooperation among the researchers, this paper builds the knowledge flow network from the angle of spatial dimension. Then employing the extensity centrality-Newman and the commonly used degree indexes, this paper excavates and analyses the nodes which occupy important positions among communities in the knowledge flow network. After that, this paper puts forward suggestions on how to make full use of the key nodes’ role of bridge to promote knowledge flow from literatures of science and technology journals to technology patents.
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    Knowledge flows in the form of entanglement and -˜cuts’: an agential realist perspective on knowledge construction phenomena within an aircraft engine manufacturing workplace
    ( 2018-01-03) Holford, W. David
    Organizational knowledge varies from explicit possessions to more tacit and sticky actions. As such, we argue that the entwined nature of tacit and explicit knowledge, the embodied and activity-based dimension of knowledge, as well as the characteristic of knowledge as possession, fit within an agential realist concept of phenomena, entanglement and -˜cuts’. We first validate the framework across a qualitative case study within an aerospace manufacturing context. Our findings also provide insights on the nature/dynamics of novice to expert level knowledge. The implications on knowledge management are briefly discussed.
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    Data Analytics and Knowledge Integration Mechanisms: The Role of Social Interactions in Innovation Management
    ( 2018-01-03) Shuradze, Giorgi ; Wagner, Heinz-Theo
    In a firm, which is viewed as a distributed knowledge system, the role of knowledge integration mechanisms is critical. In the context of data analytics, data mining and statistical analysis enables firms to generate knowledge; which, however, needs to be channeled to the end user of this knowledge. In this study, based on the social capital literature we argue that social interactions between IT and marketing functional unit members facilitate knowledge sharing in intraorganizational setting, which in turn results in improved innovative performance. The theoretical arguments are supported by empirical results collected via an online survey. Theoretical and practical contributions of the study are also discussed.