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Driving Agricultural Transformation: Unraveling Key Factors Shaping IoT Adoption in Smart Farming with Empirical Insights

Mahadi Bahari, Ibrahim Arpaci (), Oguzhan Der, Fatih Akkoyun and Ali Ercetin
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Mahadi Bahari: Department of Information Systems, Faculty of Management, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Ibrahim Arpaci: Department of Information Systems, Faculty of Management, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Oguzhan Der: Department of Maritime Vehicles Management Engineering, Maritime Faculty, Bandırma Onyedi Eylul University, Bandırma 10200, Türkiye
Fatih Akkoyun: Department of Mechanical Engineering, Faculty of Engineering, İzmir Demokrasi University, İzmir 35140, Türkiye
Ali Ercetin: Department of Naval Architecture and Marine Engineering, Maritime Faculty, Bandırma Onyedi Eylul University, Bandırma 10200, Türkiye

Sustainability, 2024, vol. 16, issue 5, 1-22

Abstract: The Internet of Things (IoT) holds immense potential for the social and economic development of developing countries, as recognized by academia and professionals. However, there is a notable lack of theoretical research on IoT adoption within agricultural settings. To address this gap, this study introduces a model focusing on nine critical “Technology-Organization-Environment” (TOE) factors. Empirical validation was conducted using data from 179 managers in diverse agricultural organizations. The research model was evaluated by using “Partial Least Squares Structural Equation Modeling” (PLS-SEM). The results underscored the significance of governmental support and technological compatibility in driving IoT adoption. Moreover, financial considerations within organizations and the evolving digital landscape were identified as key influencers of smart farm adoption. This study offers valuable insights with significant implications for sustainable IoT adoption in research and practical applications.

Keywords: agriculture; Internet of Things; PLS-SEM; TOE (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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