A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies
The adoption of digital technologies in agriculture offers opportunities for efficiency and sustainability, particularly in emerging economies with resource and infrastructure constraints. However, challenges persist, exacerbated by crises such as COVID-19 and geopolitical instabilities, highlighting agricultural supply chains’ fragility. Industry 5.0-driven digital transformation (DT) can mitigate these challenges by enhancing food security, supply chain resilience, and environmental sustainability. This study identifies and analyzes key drivers of DT in agricultural production from a holistic perspective. Through a literature review and expert validation, 19 key drivers were identified in the context of Bangladesh. An integrated multi-criteria decision-making (MCDM) approach, combining the Fermatean fuzzy sets (FFS) with the decision-making trial and evaluation laboratory (DEMATEL) technique, was applied to examine the drivers and explore interrelations among them. The results indicate that the most influential drivers are ’commitment from regulatory bodies’, ’maximizing the use of dwindling resources’, ’fostering rural development’, and ’the need for safe food’, with prominence values of 4.175, 4.001, 3.999, and 3.888, respectively. Additionally, ’commitment from regulatory bodies’ emerges as the most impactful causal factor, having a causal weight of 1.848. These findings provide insights for policymakers and industry managers in emerging economies, supporting strategic decision-making to drive sustainable agricultural transformation and achieve the relevant sustainable development goals.
A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies
The adoption of digital technologies in agriculture offers opportunities for efficiency and sustainability, particularly in emerging economies with resource and infrastructure constraints. However, challenges persist, exacerbated by crises such as COVID-19 and geopolitical instabilities, highlighting agricultural supply chains’ fragility. Industry 5.0-driven digital transformation (DT) can mitigate these challenges by enhancing food security, supply chain resilience, and environmental sustainability. This study identifies and analyzes key drivers of DT in agricultural production from a holistic perspective. Through a literature review and expert validation, 19 key drivers were identified in the context of Bangladesh. An integrated multi-criteria decision-making (MCDM) approach, combining the Fermatean fuzzy sets (FFS) with the decision-making trial and evaluation laboratory (DEMATEL) technique, was applied to examine the drivers and explore interrelations among them. The results indicate that the most influential drivers are ’commitment from regulatory bodies’, ’maximizing the use of dwindling resources’, ’fostering rural development’, and ’the need for safe food’, with prominence values of 4.175, 4.001, 3.999, and 3.888, respectively. Additionally, ’commitment from regulatory bodies’ emerges as the most impactful causal factor, having a causal weight of 1.848. These findings provide insights for policymakers and industry managers in emerging economies, supporting strategic decision-making to drive sustainable agricultural transformation and achieve the relevant sustainable development goals.
A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies
Md. Zahidul Anam (author) / Md. Hasibul Islam (author) / Md. Tamzidul Islam (author) / A.B.M. Mainul Bari (author) / Asif Raihan (author)
2025
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Drivers and Barriers of Sustainability Practices in Emerging and Developing Economies
| BASE | 2019
Drivers of Sustainability Accounting and Reporting in Emerging Economies: Evidence from Nigeria
| DOAJ | 2022
An Integrated Fuzzy MCDM Hybrid Methodology to Analyze Agricultural Production
| DOAJ | 2022