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. • Key drivers of digital transformation in agriculture have been explored. • The Fermatean fuzzy DEMATEL method has been applied for driver analysis. • The findings revealed commitment from regulatory bodies and maximizing the use of dwindling resources as the most influential drivers. • Findings can help policymakers in strategic decision-making to attain sustainability within the agricultural sector.

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Publication Details

Journal
Green Technologies and Sustainability
Published
2025-03-05
DOI
https://doi.org/10.1016/j.grets.2025.100197
Citations
10
Primary Topic
Digitalization and Economic Development in Agriculture
Type
article
Field-Weighted Citation Impact
22.26
Controls
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article

A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies

A.B.M. Mainul Bari, Md. Zahidul Anam, Asif Raihan, Md. Tamzidul Islam et al.
10 citations
Green Technologies and Sustainability
Digitalization and Economic Development in Agriculture
22.26
article

A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies

A.B.M. Mainul Bari, Md. Zahidul Anam, Asif Raihan, Md. Tamzidul Islam, Md. Hasibul Islam
article en
10 citations

Abstract

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. • Key drivers of digital transformation in agriculture have been explored. • The Fermatean fuzzy DEMATEL method has been applied for driver analysis. • The findings revealed commitment from regulatory bodies and maximizing the use of dwindling resources as the most influential drivers. • Findings can help policymakers in strategic decision-making to attain sustainability within the agricultural sector.

Green Technologies and SustainabilityVol. 3(3)
American International University-Bangladesh (BD), Bangladesh University of Engineering and Technology (BD), University of Chittagong (BD)
Zero hunger
Openalex Percentile: Top 1%
Digitalization and Economic Development in Agriculture
22.26
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