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A machine learning based approach for predicting blockchain adoption in supply chain

Author

Listed:
  • Sachin Kamble
  • Angappa Gunasekaran
  • Vikas Kumar
  • Amine Belhadi
  • Cyril Foropon

    (Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School)

Abstract

No abstract is available for this item.

Suggested Citation

  • Sachin Kamble & Angappa Gunasekaran & Vikas Kumar & Amine Belhadi & Cyril Foropon, 2021. "A machine learning based approach for predicting blockchain adoption in supply chain," Post-Print hal-03539287, HAL.
    • Handle: RePEc:hal:journl:hal-03539287
    as

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    Citations

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    Cited by:

    1. Rakshit, Sandip & Islam, Nazrul & Mondal, Sandeep & Paul, Tripti, 2022. "Influence of blockchain technology in SME internationalization: Evidence from high-tech SMEs in India," Technovation, Elsevier, vol. 115(C).
    2. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Tiwari, Sunil & Sharma, Pankaj & Jha, Ashish Kumar, 2024. "Digitalization & Covid-19: An institutional-contingency theoretic analysis of supply chain digitalization," International Journal of Production Economics, Elsevier, vol. 267(C).
    4. Sharma, Prateek & Shukla, Dhirendra Mani & Raj, Alok, 2023. "Blockchain adoption and firm performance: The contingent roles of intangible capital and environmental dynamism," International Journal of Production Economics, Elsevier, vol. 256(C).
    5. Shahbaz Khan & Abid Haleem & Zafar Husain & Daniel Samson & R. D. Pathak, 2023. "Barriers to blockchain technology adoption in supply chains: the case of India," Operations Management Research, Springer, vol. 16(2), pages 668-683, June.
    6. Dehghani, Milad & William Kennedy, Ryan & Mashatan, Atefeh & Rese, Alexandra & Karavidas, Dionysios, 2022. "High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology," Journal of Business Research, Elsevier, vol. 149(C), pages 393-411.
    7. Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    8. Sahebi, Iman Ghasemian & Mosayebi, Alireza & Masoomi, Behzad & Marandi, Fatemeh, 2022. "Modeling the enablers for blockchain technology adoption in renewable energy supply chain," Technology in Society, Elsevier, vol. 68(C).
    9. Jana, Rabin K. & Ghosh, Indranil & Wallin, Martin W., 2022. "Taming energy and electronic waste generation in bitcoin mining: Insights from Facebook prophet and deep neural network," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    10. Shahzad, Khuram & Zhang, Qingyu & Ashfaq, Muhammad & Zafar, Abaid Ullah & Ahmad, Bilal, 2024. "Pre- to post-adoption of blockchain technology in supply chain management: Influencing factors and the role of firm size," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    11. Anwar, Muhammad Azfar & Zong, Zupan & Mendiratta, Aparna & Yaqub, Muhammad Zafar, 2024. "Antecedents of big data analytics adoption and its impact on decision quality and environmental performance of SMEs in recycling sector," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    12. Ulpan Tokkozhina & Ana Lucia Martins & Joao C. Ferreira, 2023. "Uncovering dimensions of the impact of blockchain technology in supply chain management," Operations Management Research, Springer, vol. 16(1), pages 99-125, March.
    13. Dwivedi, Yogesh K. & Balakrishnan, Janarthanan & Das, Ronnie & Dutot, Vincent, 2023. "Resistance to innovation: A dynamic capability model based enquiry into retailers’ resistance to blockchain adaptation," Journal of Business Research, Elsevier, vol. 157(C).
    14. Zhang, Xi & Cheng, Yihang & Chen, Aoshuang & Lytras, Miltiadis & de Pablos, Patricia Ordóñez & Zhang, Renyu, 2022. "How rumors diffuse in the infodemic: Evidence from the healthy online social change in China," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    15. Ihab K. A. Hamdan & Wulamu Aziguli & Dezheng Zhang & Eli Sumarliah, 2023. "Machine learning in supply chain: prediction of real-time e-order arrivals using ANFIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 549-568, March.
    16. Pardis Roozkhosh & Alireza Pooya & Renu Agarwal, 2023. "Blockchain acceptance rate prediction in the resilient supply chain with hybrid system dynamics and machine learning approach," Operations Management Research, Springer, vol. 16(2), pages 705-725, June.
    17. Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    18. Lili Geng & Huixian Hui & Xiaomeng Liang & Shaocong Yan & Yongji Xue, 2023. "Factors Affecting Intention Toward ICT Adoption in Rural Entrepreneurship: Understanding the Differences Between Business Types of Organizations and Previous Experience of Entrepreneurs," SAGE Open, , vol. 13(3), pages 21582440231, September.
    19. Ieva Meidute-Kavaliauskiene & Amir Karbassi Yazdi & Amir Mehdiabadi, 2022. "Integration of Blockchain Technology and Prioritization of Deployment Barriers in the Blood Supply Chain," Logistics, MDPI, vol. 6(1), pages 1-16, March.
    20. Zhang, Mingming & Zhou, Simei & Wang, Qunwei & Liu, Liyun & Zhou, Dequn, 2023. "Will the carbon neutrality target impact China's energy security? A dynamic Bayesian network model," Energy Economics, Elsevier, vol. 125(C).
    21. Latan, Hengky & Lopes de Sousa Jabbour, Ana Beatriz & Sarkis, Joseph & Chiappetta Jabbour, Charbel Jose & Ali, Murad, 2024. "The nexus of supply chain performance and blockchain technology in the digitalization era: Insights from a fast-growing economy," Journal of Business Research, Elsevier, vol. 172(C).

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