Access the full text.
Sign up today, get DeepDyve free for 14 days.
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.
International Journal of Productivity and Performance Management – Emerald Publishing
Published: Jul 10, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.