| Title |
Development of circular economy model using Industry 4.0's machine learning techniques to improve performance metrics of MSMEs |
| ID_Doc |
3988 |
| Authors |
Sabale, DB; Kaswan, MS; Rathi, R |
| Title |
Development of circular economy model using Industry 4.0's machine learning techniques to improve performance metrics of MSMEs |
| Year |
2024 |
| Published |
|
| DOI |
10.1007/s12008-024-01782-6 |
| Abstract |
The development of a circular economy (CE) model is increasingly being recognized as a way to improve the performance metrics of Micro, Small, and Medium Enterprises (MSMEs). A CE is an economic model that aims to minimize waste and pollution by maintaining resources in use for long time. This paper provides a comprehensive overview of the benefits of a CE for MSMEs, including reduced costs, increased competitiveness, and improved environmental performance. The paper also outlines the steps that need to be taken to develop a CE model using Industry 4.0's machine learning algorithms for MSMEs. The paper concludes that the development of a CE model has the potential to significantly improve environmental and other performance metrics of MSMEs and should be a priority for policymakers and stakeholders in the business community. |
| Author Keywords |
Circular economy model; Environmental performance metrics; Micro, small, and medium enterprises |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001198079000001 |
| WoS Category |
Engineering, Manufacturing |
| Research Area |
Engineering |
| PDF |
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