Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Knowledge Management in Indian Manufacturing Industry:Identification and Modeling of Enablers


Affiliations
1 Department of Mechanical Engineering, International Institute of Technology and Management, 49 KM Stone, N H 1, G T Road, Muthal, Sonepat-131039, Haryana, India
2 Department of Mechanical Engineering, Jamia Millia Islamia, Delhi-110025, India
     

   Subscribe/Renew Journal


Knowledge Management (KM) has been identified as an important research area to be researched to draw various benefits to the organization and to improve the performance of manufacturing systems. Fourteen enablers have been selected from literature review and subsequent brainstorming sessions in which experts from academia and industry participated. An interpretive structural modeling has been utilized to model these enablers and the interactions among them. Four enablers have been found out at the top, whereas one enabler at bottom. MIC MAC analysis has resulted into: six enablers as driving; four enablers as dependent; also four enablers as linkage; and no enablers as autonomous enablers. The structural model and MIC MAC analysis may be helpful in understanding: these enablers; their interactions; and their interdependence towards managing the knowledge management implementation process effectively and efficiently. Clear understanding of relations among these enablers will help firms to effective management of these identified enablers and competently to draw advantage from knowledge management.

Keywords

Enablers, Interpretive Structural Modeling (ISM), Knowledge Management, Knowledge Management Implementation, MIC MAC Analysis, Questionnaire Based Study, Statistical Analysis.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 235

PDF Views: 3




  • Knowledge Management in Indian Manufacturing Industry:Identification and Modeling of Enablers

Abstract Views: 235  |  PDF Views: 3

Authors

S. Kumar
Department of Mechanical Engineering, International Institute of Technology and Management, 49 KM Stone, N H 1, G T Road, Muthal, Sonepat-131039, Haryana, India
A. Haleem
Department of Mechanical Engineering, Jamia Millia Islamia, Delhi-110025, India

Abstract


Knowledge Management (KM) has been identified as an important research area to be researched to draw various benefits to the organization and to improve the performance of manufacturing systems. Fourteen enablers have been selected from literature review and subsequent brainstorming sessions in which experts from academia and industry participated. An interpretive structural modeling has been utilized to model these enablers and the interactions among them. Four enablers have been found out at the top, whereas one enabler at bottom. MIC MAC analysis has resulted into: six enablers as driving; four enablers as dependent; also four enablers as linkage; and no enablers as autonomous enablers. The structural model and MIC MAC analysis may be helpful in understanding: these enablers; their interactions; and their interdependence towards managing the knowledge management implementation process effectively and efficiently. Clear understanding of relations among these enablers will help firms to effective management of these identified enablers and competently to draw advantage from knowledge management.

Keywords


Enablers, Interpretive Structural Modeling (ISM), Knowledge Management, Knowledge Management Implementation, MIC MAC Analysis, Questionnaire Based Study, Statistical Analysis.