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Selection of Technology Acceptance Model for Adoption of Industry 4.0 Technologies in Agri-Fresh Supply Chain

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  • Mohit Jain

    (Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, Jaipur 302017, India)

  • Gunjan Soni

    (Department of Mechanical Engineering, Malaviya National Institute of Technology Jaipur, Jaipur 302017, India)

  • Deepak Verma

    (Department of Management Studies, Malaviya National Institute of Technology Jaipur, Jaipur 302017, India)

  • Rajendra Baraiya

    (Jindal Global Business School, OP Jindal Global University, Sonipat 131001, India)

  • Bharti Ramtiyal

    (Department of Management Studies, Graphic Era (Deemed to be University), Dehradun 248002, India)

Abstract

Technology is advancing at a very rapid pace, and it helps the user in predicting things, taking the right decisions, making life less difficult and eventually increasing the profitability of their business. Due to the increasing global population, changing climatic conditions, and other natural factors predominating in nature, agriculture practice is becoming less predictable and as a result, farmers’ confidence is being lost, poverty and food insecurity are rising, and other issues are becoming more prevalent. In addition, it affects the sustainability of the food supply chain. So, there is a critical need for agriculture to adopt Industry 4.0 technologies. Here, we want to select a suitable technology acceptance model which comprehensively and robustly defines all the aspects of technology adoption factors in agriculture. From the different adoption theories, we choose one theory that fits our criteria very accurately; for this, we use a hybrid MCDM approach. We utilised fuzzy AHP and fuzzy VIKOR to make the selection logically and systematically correct. Three experts are employed in the study. Fuzzy AHP helps to find the weightage of criteria used by the fuzzy VIKOR technique in ranking the theories. The results showed that the UTAUT ranking comes number one after applying all the suitable criteria and alternatives, and it is the most accurate theory for analysing the adoption of Industry 4.0 technologies in agriculture. This article offers readers a methodical approach for choosing a technology adoption paradigm. The hypothesis that best fits a person’s criteria can be determined by comparing them to potential alternatives.

Suggested Citation

  • Mohit Jain & Gunjan Soni & Deepak Verma & Rajendra Baraiya & Bharti Ramtiyal, 2023. "Selection of Technology Acceptance Model for Adoption of Industry 4.0 Technologies in Agri-Fresh Supply Chain," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4821-:d:1091547
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    1. Hillary Mugiyo & Vimbayi G. P. Chimonyo & Mbulisi Sibanda & Richard Kunz & Cecilia R. Masemola & Albert T. Modi & Tafadzwanashe Mabhaudhi, 2021. "Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review," Land, MDPI, vol. 10(2), pages 1-24, January.
    2. Abbas Mardani & Edmundas Kazimieras Zavadskas & Kannan Govindan & Aslan Amat Senin & Ahmad Jusoh, 2016. "VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications," Sustainability, MDPI, vol. 8(1), pages 1-38, January.
    3. James B. Pick & Kamala Gollakota & Manju Singh, 2014. "Technology for Development: Understanding Influences on use of Rural Telecenters in India," Information Technology for Development, Taylor & Francis Journals, vol. 20(4), pages 296-323, October.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Peyman Mohammady & Amin Amid, 2011. "Integrated fuzzy AHP and fuzzy VIKOR model for supplier selection in an agile and modular virtual enterprise," Fuzzy Information and Engineering, Springer, vol. 3(4), pages 411-431, December.
    6. Kabbiri, Ronald & Dora, Manoj & Kumar, Vikas & Elepu, Gabriel & Gellynck, Xavier, 2018. "Mobile phone adoption in agri-food sector: Are farmers in Sub-Saharan Africa connected?," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 253-261.
    7. Se-Joon Hong & James Y. L. Thong & Jae-Yun Moon & Kar-Yan Tam, 2008. "Understanding the behavior of mobile data services consumers," Information Systems Frontiers, Springer, vol. 10(4), pages 431-445, September.
    8. Thai Hoang Tuyet Nhi & Chia-Nan Wang & Nguyen Van Thanh, 2022. "Multicriteria Decision Making and Its Application in Geothermal Power Project," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    9. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
    10. Bo Cao & Qingyi Li & Yuhang Zhu, 2022. "Comparison of Effects between Different Weight Calculation Methods for Improving Regional Landslide Susceptibility—A Case Study from Xingshan County of China," Sustainability, MDPI, vol. 14(17), pages 1-15, September.
    11. Verma, Pranay & Sinha, Neena, 2018. "Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 207-216.
    12. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    13. Jamal Shah & Majed Alharthi, 2022. "The Association between Farmers’ Psychological Factors and Their Choice to Adopt Risk Management Strategies: The Case of Pakistan," Agriculture, MDPI, vol. 12(3), pages 1-24, March.
    14. N Viswanadham & S Kameshwaran, 2013. "Ecosystem-Aware Global Supply Chain Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8802, January.
    15. Parvin Golfam & Parisa-Sadat Ashofteh & Hugo A. Loáiciga, 2019. "Evaluation of the VIKOR and FOWA Multi-Criteria Decision Making Methods for Climate-Change Adaptation of Agricultural Water Supply," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2867-2884, June.
    16. Barak, Sasan & Dahooei, Jalil Heidary, 2018. "A novel hybrid fuzzy DEA-Fuzzy MADM method for airlines safety evaluation," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 134-149.
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    1. Sandeep Jagtap & Mohamed Afy-Shararah & Rakesh Raut & Sumit Gupta, 2023. "Advancing Sustainability and Efficiency in Supply Chains: Insights from the Special Issue on Sustainable Supply Chain and Lean Manufacturing," Sustainability, MDPI, vol. 15(20), pages 1-2, October.

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