Nayal, Kirti, Raut, Rakesh D., Narkhede, Balkrishna E., Priyadarshinee, Pragati, Panchal, Gajanan and Gedam, Vidyadhar V. (2021). Antecedents for blockchain technology-enabled sustainable agriculture supply chain. Annals of Operations Research ,
Abstract
Blockchain can solve the problems that the agriculture supply chain (ASC) is facing to achieve sustainable growth. In a nation like India, blockchain application in the supply chain is still new; therefore, supply chain players need a better understanding and awareness of blockchain through valuable insights. This article aims to study the mediating role of blockchain technology adoption (BLCT) for sustainable supply chain performance (SSCP). This study investigates the influence of numerous factors such as green and lean practices, supply chain integration, supply chain risk, performance expectancy, top management support, cost, internal and external environmental conditions, regulatory support, and innovation capability on BLCT adoption. A sample of 316 respondents from Indian ASC industries was collected, and structural equation modeling (SEM) was used. This study's outcomes show that green and lean practices, supply chain integration, supply chain risks, internal and external conditions, regulatory support, innovation capability, and cost positively influence BLCT adoption. Moreover, BLCT positively influences sustainable agriculture supply chain performance. This article is valuable for policymakers, managers, service providers, researchers, and academicians to understand the role of factors in influencing BLCT and BLCT's role in improving sustainable supply chain performance (SSCP).
Publication DOI: | https://doi.org/10.1007/s10479-021-04423-3 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Operations & Information Management Aston University (General) |
Additional Information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Publication ISSN: | 1572-9338 |
Last Modified: | 18 Nov 2024 18:24 |
Date Deposited: | 07 Dec 2021 15:50 |
Full Text Link: | |
Related URLs: |
https://link.sp ... 479-021-04423-3
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2021-12-06 |
Published Online Date: | 2021-12-06 |
Accepted Date: | 2021-11-25 |
Authors: |
Nayal, Kirti
Raut, Rakesh D. Narkhede, Balkrishna E. Priyadarshinee, Pragati Panchal, Gajanan ( 0000-0001-9414-3114) Gedam, Vidyadhar V. |