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Evaluating risk of IoT adoption in the food supply chain using an integrated interval-valued spherical fuzzy generalised TODIM method

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  • Chen, Yu
  • Wang, Weizhong
  • Yang, Zhengyan
  • Deveci, Muhammet
  • Delen, Dursun

Abstract

The existing literature has shown that the Internet of Things (IoT) has proven to be beneficial for managing operations in the food supply chain. However, the potential failures resulting from these new technologies have not been thoroughly examined. Therefore, the aim of this study is to create a new framework for analyzing the risks associated with implementing IoT in the food supply chain. To achieve this, we introduce an extended failure mode and effect analysis framework using an integrated generalised Toma de Decisão Iterativa Multicritério (TODIM) method within the interval-valued spherical fuzzy setting. Initially, we developed a risk structure consisting of four dimensions and sixteen sub-factors to facilitate the implementation of IoT technology in the food supply chain. We then introduced an interval-valued spherical fuzzy-weighted Bonferroni mean operator to gather expert opinions and create a group risk matrix considering the interaction between the input risk data. Subsequently, we proposed a newly developed interval-valued spherical fuzzy TODIM method based on the Logarithmic percentage change-driven objective weighting (LOPCOW) method to evaluate and rank the risks associated with IoT application in the food supply chain. This method can capture the bounded rational decision behavior of experts and the uncertain preference of risk parameters. Based on the identified risk factors, we implemented a proposed risk analysis framework in line with the preferences of the experts. The results indicate that "human resource risk" and "uncertainty in technology adoption" are the most and least significant risks, respectively. We also conducted sensitivity and comparison studies to test the reliability and rationality of the proposed framework. The main findings can assist policymakers and managers in mitigating and minimizing the risks connected with IoT applications in the food supply chain. Additionally, these outcomes can aid stakeholders in making well-informed decisions about resource allocation for risk management.

Suggested Citation

  • Chen, Yu & Wang, Weizhong & Yang, Zhengyan & Deveci, Muhammet & Delen, Dursun, 2024. "Evaluating risk of IoT adoption in the food supply chain using an integrated interval-valued spherical fuzzy generalised TODIM method," International Journal of Production Economics, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:proeco:v:277:y:2024:i:c:s0925527324002433
    DOI: 10.1016/j.ijpe.2024.109386
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    References listed on IDEAS

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    1. Wang, Weizhong & Chen, Yu & Wang, Yi & Deveci, Muhammet & Cheng, Shuping & Brito-Parada, Pablo R., 2024. "A decision support framework for humanitarian supply chain management – Analysing enablers of AI-HI integration using a complex spherical fuzzy DEMATEL-MARCOS method," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    2. Chirumalla, Koteshwar, 2021. "Building digitally-enabled process innovation in the process industries: A dynamic capabilities approach," Technovation, Elsevier, vol. 105(C).
    3. Wang, Weizhong & Chen, Yu & Zhang, Tinglong & Deveci, Muhammet & Kadry, Seifedine, 2024. "The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 544-566.
    4. Yin-Yee Leong & Yen-Chih Chen, 2020. "Cyber risk cost and management in IoT devices-linked health insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(4), pages 737-759, October.
    5. Minguito, Glenda & Banluta, Jenith, 2023. "Risk management in humanitarian supply chain based on FMEA and grey relational analysis," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    6. Hosseini Dehshiri, Seyyed Jalaladdin & Amiri, Maghsoud, 2023. "Evaluating the risks of the internet of things in renewable energy systems using a hybrid fuzzy decision approach," Energy, Elsevier, vol. 285(C).
    7. Maria Akram & Kifayat Ullah & Dragan Pamucar, 2022. "Performance Evaluation of Solar Energy Cells Using the Interval-Valued T-Spherical Fuzzy Bonferroni Mean Operators," Energies, MDPI, vol. 15(1), pages 1-24, January.
    8. Özlem Arslan & Necip Karakurt & Ecem Cem & Selcuk Cebi, 2023. "Risk Analysis in the Food Cold Chain Using Decomposed Fuzzy Set-Based FMEA Approach," Sustainability, MDPI, vol. 15(17), pages 1-20, September.
    9. Kumar, Shashank & Raut, Rakesh D. & Agrawal, Nishant & Cheikhrouhou, Naoufel & Sharma, Mahak & Daim, Tugrul, 2022. "Integrated blockchain and internet of things in the food supply chain: Adoption barriers," Technovation, Elsevier, vol. 118(C).
    10. Rodrigo Goyannes Gusmão Caiado & Luiz Felipe Scavarda & Bruno Duarte Azevedo & Daniel Luiz de Mattos Nascimento & Osvaldo Luiz Gonçalves Quelhas, 2022. "Challenges and Benefits of Sustainable Industry 4.0 for Operations and Supply Chain Management—A Framework Headed toward the 2030 Agenda," Sustainability, MDPI, vol. 14(2), pages 1-26, January.
    11. Ecer, Fatih & Küçükönder, Hande & Kayapınar Kaya, Sema & Faruk Görçün, Ömer, 2023. "Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
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