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An empirical investigation on lean supply chain management frameworks in Indian manufacturing industry

An empirical investigation on lean supply chain management frameworks in Indian manufacturing... PurposeSupply chain management plays a vital role in deciding the final cost of products. A huge number of non-value-added activities are performed throughout supply chain process. Lean principles are useful to identify and eliminate waste activities across the supply chain management processes. The purpose of this paper is to examine the validity and reliability of the existing lean supply chain management (LSCM) frameworks in the Indian manufacturing industry through questionnaire survey methodology.Design/methodology/approachThe present study collected empirical data from 180 top- and middle-level management personnel from the Indian manufacturing industry. Factor analysis was performed to check unidimensionality of LSCM frameworks by using empirical data. Cronbach’s α value of each selected LSCM framework was calculated to find out its reliability. Finally, frequency distribution analysis was performed on the selected framework to identify and reveal critical constructs of LSCM.FindingsIt was found that nine LSCM frameworks show unidimensionality. The study established that most of the selected frameworks exposed a high level of reliability. The frequency distribution analysis revealed that the larger part of the constructs had a high mean score and mode. It is concluded that there is a need for a new LSCM framework to fulfill the requirements of the Indian manufacturing industry.Originality/valueThe present study is focused on checking the suitability of existing LSCM frameworks in the Indian manufacturing sector. It is anticipated that the study will be helpful to the professionals who wish to execute appropriate LSCM framework in the manufacturing organization. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Productivity and Performance Management Emerald Publishing

An empirical investigation on lean supply chain management frameworks in Indian manufacturing industry

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1741-0401
DOI
10.1108/IJPPM-12-2015-0185
Publisher site
See Article on Publisher Site

Abstract

PurposeSupply chain management plays a vital role in deciding the final cost of products. A huge number of non-value-added activities are performed throughout supply chain process. Lean principles are useful to identify and eliminate waste activities across the supply chain management processes. The purpose of this paper is to examine the validity and reliability of the existing lean supply chain management (LSCM) frameworks in the Indian manufacturing industry through questionnaire survey methodology.Design/methodology/approachThe present study collected empirical data from 180 top- and middle-level management personnel from the Indian manufacturing industry. Factor analysis was performed to check unidimensionality of LSCM frameworks by using empirical data. Cronbach’s α value of each selected LSCM framework was calculated to find out its reliability. Finally, frequency distribution analysis was performed on the selected framework to identify and reveal critical constructs of LSCM.FindingsIt was found that nine LSCM frameworks show unidimensionality. The study established that most of the selected frameworks exposed a high level of reliability. The frequency distribution analysis revealed that the larger part of the constructs had a high mean score and mode. It is concluded that there is a need for a new LSCM framework to fulfill the requirements of the Indian manufacturing industry.Originality/valueThe present study is focused on checking the suitability of existing LSCM frameworks in the Indian manufacturing sector. It is anticipated that the study will be helpful to the professionals who wish to execute appropriate LSCM framework in the manufacturing organization.

Journal

International Journal of Productivity and Performance ManagementEmerald Publishing

Published: Jul 10, 2017

References