In- and extra-role knowledge sharing among information technology professionals: The five-factor model perspective |
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| Institution: | 1. Department of M-Commerce and Multimedia Applications, Asia University, Taichung, Taiwan, ROC;2. Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan, ROC;3. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan, ROC;4. Department of Business Administration, Asia University, Taichung, Taiwan, ROC;1. University of North Dakota, Grand Forks, ND, USA;2. Metropolitan State University, Saint Paul, MN, USA;1. Information Sciences and Technology Division, The Pennsylvania State University, New Kensington, PA 15068, USA;2. School of Civil and Building Engineering, Loughborough University, LE11 3TU, UK;3. College of Design, Construction & Planning, University of Florida, Gainesville, FL 32611, USA;1. Economics and Policy Studies University Brunei Darussalam (UBD), Brunei Darussalam;2. Kedge Business School Domaine De Luminy, BP921 13288 Marseille, Cedex 9, France;3. Faculty of Business, Economics and Policy Studies University Brunei Darussalam (UBD), Brunei Darussalam;1. Department of Business Administration, Zhejiang University of Technology, Zhejiang, China;2. Emerging Markets Research Centre (EMaRC), School of Management, Swansea University Bay Campus, Fabian Way, Crymlyn Burrows, Swansea SA1 8EN, Wales, UK;3. Department of Information Management, Ming Chuan University, Taoyuan, Taiwan;1. College of Business Administration, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-916, Republic of Korea;2. Department of Information Sociology, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan Gyeonggi-do, 426-791, Republic of Korea;3. Graduate School of Business, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 151-916, Republic of Korea |
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| Abstract: | Knowledge is a valuable asset, and knowledge sharing (KS) among employees is particularly important in knowledge-based organizations. This study proposes and investigates two types of KS: in- and extra-role. In-role KS is based on role expectations, and extra-role KS extends beyond role expectations. This study also investigates the antecedents and consequences of the two types of KS among information technology (IT) professionals. The five-factor model is applied to build the research model. The results reveal that among IT professionals, openness to experience, conscientiousness, agreeableness, and neuroticism influence in- or extra-role KS. Unexpectedly, extroversion has no effect on either, indicating the unique behavior of IT professionals compared with others. The study also shows that both in- and extra-role KS have positive effects on team cohesion. Academic and practical implications are provided based on the research findings. |
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| Keywords: | In-role Extra-role Knowledge sharing Personality Five-factor model Team cohesion |
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