Podrobná bibliografia
| Názov: |
Barriers for achieving sustainable agri supply chain: study in context to Indian MSMEs. |
| Autori: |
Sonar, Harshad1 (AUTHOR) harshadsonar@gmail.com, Sharma, Isha1 (AUTHOR), Ghag, Nikhil1,2 (AUTHOR), Singh, Rajesh Kr3 (AUTHOR) |
| Zdroj: |
International Journal of Logistics: Research & Applications. Nov2025, Vol. 28 Issue 11, p1367-1386. 20p. |
| Predmety: |
*SUPPLY chains, *COMPETITIVE advantage in business, *THEORY of constraints, *SMALL business, SUSTAINABLE agriculture, SUSTAINABILITY, FUZZY expert systems, RESEARCH methodology |
| Geografický termín: |
INDIA |
| Abstrakt: |
The micro, small, and medium enterprise (MSME) in the agriculture sector have become one of the most important pillars of the Indian economy as they provide employment opportunities with little capital outlay. This study identifies barriers to achieving sustainability in the Agri supply chain in India. The scope of the study was increased to determine the contextual relationships between the barriers and to rank them in relation to one another. The list of 11 barriers was enlisted after thorough literature and interaction with experts using the fuzzy-Delphi method. The causal relationship has been developed using Wings methodology. The results show that lack of information and mismanagement in handling the products after harvesting are crucial barriers to achieving sustainability in the Agri supply chain. The novelty of this work lies in identification of barriers achieving sustainability in Agri supply chain using integrated fuzzy-Delphi-Wings method. The stakeholders in the Agri supply chain will benefit from the research findings as they plan the strategic deployment of sustainability practices to achieve long-term competitive advantage. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Logistics: Research & Applications is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáza: |
Business Source Index |