TY - JOUR
T1 - Knowledge management in 21st century manufacturing
AU - Gunasekaran, A.
AU - Ngai, E. W.T.
N1 - Funding Information:
The authors are grateful to three anonymous reviewers for their constructive and helpful comments which helped to improve the presentation of the paper considerably. The research was supported in part by The Hong Kong Polytechnic University under grant number G-YF02 and the University of Massachusetts, Dartmouth.
PY - 2007/6
Y1 - 2007/6
N2 - As markets have become global, more and more manufacturing companies achieve global operations through various strategic business alliances including joint ventures and outsourcing, etc. Since manufacturing has become global to address the needs of the global market, companies take advantage of advanced information technologies in achieving their global supply chain. It is not enough to just establish an integrated information system such as enterprise resource planning (ERP); it is also important to see to what extent this has been used to facilitate innovation and knowledge diffusion along the supply chain for an ultimate improvement of productivity and quality and in turn manufacturing organizational competitiveness. Without the integration of people and information technology/information systems (IT/IS), it is very hard to achieve any significant improvement in organizational performance. However, there are not many articles or reports that deal with knowledge management in advanced manufacturing organizations. Advanced manufacturing enterprises are characterized by a physically distributed enterprise environment, outsourcing and IT-enabled supply chain management (SCM). This paper makes an attempt to review the literature available on knowledge management (KM) in manufacturing with the objective of identifying the gap between theory and practice, strategies and techniques for KM systems in advanced manufacturing environments. The literature on KM in manufacturing has been reviewed using a suitable classification scheme with the objective of developing a framework for managing knowledge in manufacturing and suggesting some future research directions.
AB - As markets have become global, more and more manufacturing companies achieve global operations through various strategic business alliances including joint ventures and outsourcing, etc. Since manufacturing has become global to address the needs of the global market, companies take advantage of advanced information technologies in achieving their global supply chain. It is not enough to just establish an integrated information system such as enterprise resource planning (ERP); it is also important to see to what extent this has been used to facilitate innovation and knowledge diffusion along the supply chain for an ultimate improvement of productivity and quality and in turn manufacturing organizational competitiveness. Without the integration of people and information technology/information systems (IT/IS), it is very hard to achieve any significant improvement in organizational performance. However, there are not many articles or reports that deal with knowledge management in advanced manufacturing organizations. Advanced manufacturing enterprises are characterized by a physically distributed enterprise environment, outsourcing and IT-enabled supply chain management (SCM). This paper makes an attempt to review the literature available on knowledge management (KM) in manufacturing with the objective of identifying the gap between theory and practice, strategies and techniques for KM systems in advanced manufacturing environments. The literature on KM in manufacturing has been reviewed using a suitable classification scheme with the objective of developing a framework for managing knowledge in manufacturing and suggesting some future research directions.
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U2 - 10.1080/00207540601020429
DO - 10.1080/00207540601020429
M3 - Article
AN - SCOPUS:34247340962
SN - 0020-7543
VL - 45
SP - 2391
EP - 2418
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 11
ER -