Document Type
Article
Source of Publication
International Journal of Innovation Studies
Publication Date
8-1-2023
Abstract
The application of blockchain beyond cryptocurrencies has received increasing attention from industry and scholars alike. Given predicted looming food crises, some of the most impactful deployments of blockchains are likely to concern food supply chains. This study outlined how blockchain adoption can result in positive affordances in the food supply chain. Using Q methodology, this study explored the current status of the agri-food supply chain and how blockchain technology could be useful in addressing existing challenges. This theorization leads to the proposition of the 3TIC value-driver framework for determining the enabling affordances of blockchain that would increase shared value for stakeholders. First, we propose a framework based on the most promising features of blockchain technology to overcome current challenges in the agri-food industry. Our value-driver framework is driven by the Q-study findings of respondents closely associated with the agri-food supply chain. This framework can provide supply chain stakeholders with a clear perception of blockchain affordances and serve as a guideline for utilizing appropriate features of technology that match organizations’ capabilities, core competencies, goals, and limitations. Therefore, it could assist top-level decision-makers in systematically evaluating parts of the organization to focus on and improve the infrastructure for successful blockchain implementation along the agri-food supply chain. We conclude by noting certain significant challenges that must be carefully addressed to successfully adopt blockchain technology.
DOI Link
ISSN
Publisher
Elsevier BV
Disciplines
Computer Sciences
Keywords
Blockchain technology, Agricultural food supply chain, Framework, Adoption, Value-driver, Q-methodology
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Jahanbin, Pouyan; Wingreen, Stephen C.; Sharma, Ravishankar; Ijadi, Behrang; and Reis, Marlon M., "Enabling affordances of blockchain in agri-food supply chains: a value-driver framework using the Q-methodology" (2023). All Works. 5934.
https://zuscholars.zu.ac.ae/works/5934
Indexed in Scopus
no
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series