Knowledge Flow, Transfer, Sharing, and Exchange

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    Legitimate Peripheral Participation and Value Creation in Online Knowledge Sharing Communities
    ( 2019-01-08) Safadi, Hani ; Berente, Nicholas
    Online knowledge sharing communities require contributions and active participation to thrive, yet all participation is not equal. Community members well-socialized in the community are more likely to make stronger contributions. In this paper, we theorize about how legitimate peripheral participation of new online knowledge sharing community members can drive different types of contributions and potentially generate value for the community. We conduct an agent-based simulation analysis of different configurations of legitimate peripheral participation to explore our theoretical arguments. We find, in general, that increased requirements for legitimate peripheral participation of new members drive quality contributions and generates value for the community. However, we also find that there is an inflection point where too many such demands may stifle contributions and impede value creation in these communities.
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    Knowledge Sharing Practices, Intellectual Capital and Organizational Performance
    ( 2019-01-08) Attar, Mujid ; Kang, Kyeong ; Sohaib, Osama
    Although knowledge sharing and intellectual capital are significant factors for long-term success of an organization, existing literature rarely examines the relationship between knowledge sharing practices intellectual capital (IC) as constitutive elements of a knowledge environment leading to enhanced operational performance. The main aim of this paper is to explore whether knowledge sharing practices (types, approaches, and process) and intellectual capital affect organizational operational performance. Findings suggest that knowledge sharing types and knowledge sharing process influence intellectual capital of an organization. Moreover, intellectual capital influences organizational operational performance. However, knowledge sharing approaches, i.e. codification and personalization strategies have no effect on intellectual capital.
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    Barriers of Knowledge Transfer between Globally Distributed Teams in ICT Product Development
    ( 2019-01-08) Togola, Aicha ; Ahmed, Safa ; Jadaan, Taline
    Increased globalization has generated a growth of globally distributed teams, which are characterized by geographical distance and used by organizations to increase innovation. However, to be able to collaborate effectively, teams are obligated to continuously conduct knowledge transfer (KT) between different geographical locations. Thus, this paper focused on identifying the main barriers that globally distributed teams face in conducting KT and how these barriers are unraveled. Based on an interpretative case study of a product development unit (PDU) in research and development (R&D) department of a telecom company, we identified eight main barriers that hinder the KT between globally distributed teams. These barriers are; knowledge embeddedness, knowledge accessibility and documentation gaps, knowledge complexity, knowledge problematic articulability, ICT tools reliance vs. face to face, inefficient ICT tools utilization, inefficient IT support, and lack of formal processes and guidelines.
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    Method for Eliciting and Analyzing Business Processes Based on Storytelling Theory
    ( 2019-01-08) Antunes, Pedro ; Pino, Jose ; Tate, Mary
    In this paper we suggest that storytelling theory can be used to analyze business processes in two behavioral dimensions, model and context, which concern predefined and improvised behavior, respectively. We develop a method to elicit stories about business processes from process participants. By applying the method in two cases, we provide some evidence on what type of analysis can be done and how it can impact the design of business processes. This research contributes with an innovative method to analyze integrated context/model behavior in business processes.
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    Knowledge Adoption: A New Perspective and the Influence of Knowledge Characteristics
    ( 2019-01-08) Wang, Nan
    Knowledge may be regarded as one type of innovations that are potentially beneficial to knowledge recipients. However, benefits of knowledge sharing or transfer can only be realized if knowledge recipients are aware of the existence of knowledge, adopt it and deploy it. This paper first provides a review and comparison of innovation characteristics and knowledge characteristics examined in the existing literatures. Then, integrating ideas from the innovation adoption, cognitive psychology and financial real options literatures, this paper provides a new perspective of knowledge adoption that includes two processes (i.e., awareness and evaluation) and three possible adoption decision outcomes (i.e., strong adoption whereby the knowledge is adopted for immediate deployments, weak adoption whereby the knowledge is consciously archived for possible future applications, and faint adoption whereby the knowledge is not adopted for immediate application nor archived for future application). Using the new perspective of knowledge adoption, a set of propositions is offered regarding the influence of knowledge characteristics on adoption decisions. This paper contributes to both knowledge management and innovation adoption literatures.
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    Understanding the Emotional and Informational Influence on Customer Knowledge Contribution through Quantitative Content Analysis
    ( 2019-01-08) Wang, Xiaolei ; Ow, Terence T. ; Feng, Yuqiang ; Liu, Luning
    Customer knowledge contribution is a vital source of business value. Existing studies paid limited attention to emotional influence on knowledge contribution. Drawing upon social support theory, this study attempts to elaborate the influence of emotional support and informational support on knowledge contribution of customers in a firm-hosted online community. Through quantitative content analysis including product feature extraction and sentiment analysis, we analyzed content data from 2318 users. A set of research hypotheses were tested via regression analysis of panel data. We found that informational support (information diagnosticity and source credibility) and emotional support (emotional consistency and emotional difference) significantly affect customer knowledge contribution. This study contributes to knowledge contribution literature by showing the emotional and informational influence, and provides insights for community managers.
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    Community by Design: Prioritizing the Factors that Drive Knowledge Use in Online Question & Answers Platforms
    ( 2019-01-08) Osatuyi, Babajide ; Passerini, Katia
    The question of how knowledge assets are utilized in the context of online communities is the primary impetus of this research. Using a multilevel approach, this paper investigates factors that influence the use of knowledge in an online question and answer platform (OQA). It focuses on three levels including informational, individual, and community, and reviews interactions across each level. The study tests the multilevel model with data from, a renowned online community for programmers to exchange knowledge assets, especially questions and answers about coding issues. Traditional hierarchical regression analysis proved insufficient to explicate the complexity associated with human decision-making processes with respect to asset utilization. However, a machine learning technique with a Chi-square automatic interaction detection algorithm provided a richer understanding of the relative importance of factors and their thresholds for influencing knowledge asset use.
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    Introduction to the Minitrack on Knowledge Flow, Transfer, Sharing, and Exchange
    ( 2019-01-08) Jennex, Murray ; Peng, Gang ; Razmerita, Liana