| Title |
Developing a framework to analyse the effect of sustainable manufacturing adoption in Indian textile industries |
| ID_Doc |
19858 |
| Authors |
Chourasiya, R; Pandey, S; Malviya, RK |
| Title |
Developing a framework to analyse the effect of sustainable manufacturing adoption in Indian textile industries |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.clscn.2022.100045 |
| Abstract |
This study aims to develop a framework to understand the effect of sustainable manufacturing (SM) adoption in Indian textile industries. The survey-based methodology has been used to fulfill the objective of the study. Hence this study develops an instrument/questionnaire construct on the most accepted principle of instrument design to assess the various factors such as SMEs, SM barriers, solutions to overcome the barriers, and SM per-formance factors through the responses collected from 64 Indian textile industries. These factors have been found through extensive literature review and expert consultation. The SPSS 18.0 software has been used for the analysis of the responses. The reliability, normality, and validity of the developed instrument/question-naire were determined and are found to be acceptable for most SMEs. The framework can be used by industry professionals in the Indian textile industry. The industry practitioners can easily evaluate and select sustainable manufacturing based on the importance level of the identified factors through this study. Further, this research may be needed to confirm these results from larger data sets. It is necessary for organizations to trust their man-ufacturer for their survival and to gain a competitive advantage. |
| Author Keywords |
Sustainable manufacturing; Enablers; Barriers; Solutions to overcome the barriers; Performance factors; SPSS |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001044647900005 |
| WoS Category |
Operations Research & Management Science |
| Research Area |
Operations Research & Management Science |
| PDF |
https://doi.org/10.1016/j.clscn.2022.100045
|