Systems for Knowledge Management along the Supply Chain

Systems for Knowledge Management along the Supply Chain

John S. Edwards
ISBN13: 9781799809456|ISBN10: 1799809455|EISBN13: 9781799809463
DOI: 10.4018/978-1-7998-0945-6.ch092
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MLA

Edwards, John S. "Systems for Knowledge Management along the Supply Chain." Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 1926-1939. https://doi.org/10.4018/978-1-7998-0945-6.ch092

APA

Edwards, J. S. (2020). Systems for Knowledge Management along the Supply Chain. In I. Management Association (Ed.), Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications (pp. 1926-1939). IGI Global. https://doi.org/10.4018/978-1-7998-0945-6.ch092

Chicago

Edwards, John S. "Systems for Knowledge Management along the Supply Chain." In Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1926-1939. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0945-6.ch092

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Abstract

This chapter explains the role of knowledge management systems, whether technology-based or people-based, in service supply chain management. A systematic literature review was carried out to identify relevant examples of both successful and unsuccessful knowledge management systems. These are analyzed in terms of process, people and technology aspects, and the activities in the knowledge life-cycle (create, acquire, store, use, refine, transfer) that they support. These include systems used within a single organization, systems shared with supply chain partners, and systems shared with customers, the latter being the least common. Notable features are that more systems support knowledge exploitation than knowledge exploration, and that general-purpose software (e.g., internet search, database) is used more than software specific to knowledge management (e.g., data mining, “people finder”). The widespread use of mobile devices and social media offers both an opportunity and a challenge for future knowledge management systems development.

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