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Accelerating Knowledge Adoption: Information Systems Change Management – A Perspective of Social Network Structure
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Author(s): Hung-Chun Huang (National Chi Nan University, Taiwan & Nan Kai University of Technology, Taiwan), Frederick Leslie Davy (National Chi Nan University, Taiwan), Hsin-Yu Shih (National Chi Nan University, Taiwan)and Chwei-Jen Fan (Nan Kai University of Technology, Taiwan)
Copyright: 2018
Pages: 16
Source title:
Technology Adoption and Social Issues: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5201-7.ch079
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Abstract
Learning faster is important in personal competitive advantage. However, to accelerate a group of people's learning efficiency is more complicated than individual practice. Learning efficiency is highlighting research in information systems change management as well as knowledge management. In practice, knowledge is difficult to manage directly. On the other hand, managing knowledge behaviors can achieve knowledge management. A teamwork structure is a micro-social system and internal collaboration network. Therefore, different teamwork structures conduct different knowledge behaviors. Social influence theories provide an interpretation that different social proximity distinguish contagion effects. This study applies the social network perspective to explore the knowledge behaviors of computer software developers. Therefore, the finding of this study shows that controlling network redundancy can enhance knowledge diffusion efficiency. Furthermore, if team fails to manage knowledge diffusion, they will offset the timing of competitive advantage in technological upgrade. Based on this finding, this study suggests a new thinking for implementation of information systems, change management, and strategic planning.
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