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Empirical analysis of success factors to implement lean-green practices in an Indian automotive manufacturing industry using ISM-MICMAC approach
https://orcid.org/http://orcid.org/0000-0002-0647-2637
The present study aims to explore the key success factors (KSFs) of lean-green (LG) practices and establishing an association between them in context of Indian automotive industry. Twenty–Six KSFs of LG practices are identified through comprehensive literature reviews and screened them using statistical analysis. During screening of KSFs, the expert’s input was collected through questionnaire survey and analyzed it using Importance-Index and CIMTC method. The statistical result reveals that twenty–two KSFs are found the most significant out of twenty–six KSFs. Also, the consistency of statistical output was checked through reliability analysis and observed that screened KSFs are reliable and consistent with Cronbach’s alpha of 0.870. Further, the mutual interaction among finalized KSFs is observed using Interpretive Structural Modelling (ISM) and clustering them into four quadrant (dependent, independent, linkage, autonomous) using MICMAC analysis. The ISM model reveals that the KSFs of LG practices are administrative active participation, Resource Adequacy, Structured Training module, Tactical intelligence. Moreover, in MICMAC analysis, the finalized KSFs are clustered into four quadrants as per their driving and dependence power. The result of this study facilitates to industrial managers and practitioners of tractor industries to adopt LG practices in their running system efficiently. The managers of automotive industry can pay attention on those KSFs which lies at the bottom level in the ISM model.
Empirical analysis of success factors to implement lean-green practices in an Indian automotive manufacturing industry using ISM-MICMAC approach
https://orcid.org/http://orcid.org/0000-0002-0647-2637
The present study aims to explore the key success factors (KSFs) of lean-green (LG) practices and establishing an association between them in context of Indian automotive industry. Twenty–Six KSFs of LG practices are identified through comprehensive literature reviews and screened them using statistical analysis. During screening of KSFs, the expert’s input was collected through questionnaire survey and analyzed it using Importance-Index and CIMTC method. The statistical result reveals that twenty–two KSFs are found the most significant out of twenty–six KSFs. Also, the consistency of statistical output was checked through reliability analysis and observed that screened KSFs are reliable and consistent with Cronbach’s alpha of 0.870. Further, the mutual interaction among finalized KSFs is observed using Interpretive Structural Modelling (ISM) and clustering them into four quadrant (dependent, independent, linkage, autonomous) using MICMAC analysis. The ISM model reveals that the KSFs of LG practices are administrative active participation, Resource Adequacy, Structured Training module, Tactical intelligence. Moreover, in MICMAC analysis, the finalized KSFs are clustered into four quadrants as per their driving and dependence power. The result of this study facilitates to industrial managers and practitioners of tractor industries to adopt LG practices in their running system efficiently. The managers of automotive industry can pay attention on those KSFs which lies at the bottom level in the ISM model.
Empirical analysis of success factors to implement lean-green practices in an Indian automotive manufacturing industry using ISM-MICMAC approach
https://orcid.org/http://orcid.org/0000-0002-0647-2637
The present study aims to explore the key success factors (KSFs) of lean-green (LG) practices and establishing an association between them in context of Indian automotive industry. Twenty–Six KSFs of LG practices are identified through comprehensive literature reviews and screened them using statistical analysis. During screening of KSFs, the expert’s input was collected through questionnaire survey and analyzed it using Importance-Index and CIMTC method. The statistical result reveals that twenty–two KSFs are found the most significant out of twenty–six KSFs. Also, the consistency of statistical output was checked through reliability analysis and observed that screened KSFs are reliable and consistent with Cronbach’s alpha of 0.870. Further, the mutual interaction among finalized KSFs is observed using Interpretive Structural Modelling (ISM) and clustering them into four quadrant (dependent, independent, linkage, autonomous) using MICMAC analysis. The ISM model reveals that the KSFs of LG practices are administrative active participation, Resource Adequacy, Structured Training module, Tactical intelligence. Moreover, in MICMAC analysis, the finalized KSFs are clustered into four quadrants as per their driving and dependence power. The result of this study facilitates to industrial managers and practitioners of tractor industries to adopt LG practices in their running system efficiently. The managers of automotive industry can pay attention on those KSFs which lies at the bottom level in the ISM model.
Empirical analysis of success factors to implement lean-green practices in an Indian automotive manufacturing industry using ISM-MICMAC approach
Int J Interact Des Manuf
Arora, Arun (author) / Singh, Mahipal (author) / Singh, Vijay Kumar (author)
2024-10-01
16 pages
Article (Journal)
Electronic Resource
English
Lean , Green manufacturing , Success factor , Manufacturing industry , Interpretive structural modelling , MICMAC Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
| Emerald Group Publishing | 2024
Empirical Analysis of Green Supply Chain Management Practices in Indian Automobile Industry
| Springer Verlag | 2014