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Why emerging supply chain technologies initially disappoint: Blockchain, IoT, and AI

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  • ManMohan S. Sodhi
  • Zahra Seyedghorban
  • Hossein Tahernejad
  • Danny Samson

Abstract

In this paper, we explore why users’ experiences with emerging supply chain technologies comprise inflated expectations followed by disappointment in the early stages of adoption, as per the Gartner Hype Cycle. We used “affordance theory” to study how managers perceive emerging technologies to explain their adoption experience. Affordance theory indicates that perceived benefits—and goals and constraints—depend on the interaction between technology and the users, not on the technology alone. First, we used the literature for two purposes: first, to obtain characteristics of blockchain, Internet of Things (IoT), and artificial intelligence (AI) as emerging technologies; and second, to itemize generic goals, affordances, and constraints in adopting any supply chain technology. Next, we asked 400+ supply chain managers to select those affordances, constraints, and goals that they viewed as pertinent to their organizations’ supply chains for whichever of these three technologies they were implementing. Finally, we compared the responses across technologies for individual respondents (who selected more than one technology) and within the pool of respondents. We found that respondents who selected more than one technology made distinct selections individually for the different technologies relevant to them. The pooled responses across all respondents, however, prioritized the aggregated goals, affordances, and constraints in the same way, regardless of the technology, the organization, or the network features of the supply chain. Overall, it appears that the characteristics of the technology do not inform user expectations at the early stages of adoption. This initial disconnect—between characteristics and expectation—may explain the “inflated expectations” followed by the early “trough of disappointment” with emerging technologies in the Gartner Hype Cycle, as users focus on obtaining the same benefits for the supply chain from any new emerging technology. Only subsequent shared experiences can lead to the long “slope of enlightenment.”

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  • ManMohan S. Sodhi & Zahra Seyedghorban & Hossein Tahernejad & Danny Samson, 2022. "Why emerging supply chain technologies initially disappoint: Blockchain, IoT, and AI," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2517-2537, June.
    • Handle: RePEc:bla:popmgt:v:31:y:2022:i:6:p:2517-2537
    DOI: 10.1111/poms.13694
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    1. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.
    2. ManMohan S. Sodhi & Christopher S. Tang, 2019. "Research Opportunities in Supply Chain Transparency," Production and Operations Management, Production and Operations Management Society, vol. 28(12), pages 2946-2959, December.
    3. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    4. Clint Chadwick & Janice F. Super & Kiwook Kwon, 2015. "Resource orchestration in practice: CEO emphasis on SHRM, commitment-based HR systems, and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 360-376, March.
    5. Subodha Kumar & Vijay Mookerjee & Abhinav Shubham, 2018. "Research in Operations Management and Information Systems Interface," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 1893-1905, November.
    6. Samayita Guha & Subodha Kumar, 2018. "Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1724-1735, September.
    7. Samer Faraj & Sirkka L. Jarvenpaa & Ann Majchrzak, 2011. "Knowledge Collaboration in Online Communities," Organization Science, INFORMS, vol. 22(5), pages 1224-1239, October.
    8. Yongxin Liao & Fernando Deschamps & Eduardo de Freitas Rocha Loures & Luiz Felipe Pierin Ramos, 2017. "Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3609-3629, June.
    9. Raymond F. Zammuto & Terri L. Griffith & Ann Majchrzak & Deborah J. Dougherty & Samer Faraj, 2007. "Information Technology and the Changing Fabric of Organization," Organization Science, INFORMS, vol. 18(5), pages 749-762, October.
    10. ManMohan S. Sodhi & Christopher S. Tang, 2018. "Corporate social sustainability in supply chains: a thematic analysis of the literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 882-901, January.
    11. Gabriella M. Hastig & ManMohan S. Sodhi, 2020. "Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 935-954, April.
    12. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    13. Richard L. Daft & Robert H. Lengel, 1986. "Organizational Information Requirements, Media Richness and Structural Design," Management Science, INFORMS, vol. 32(5), pages 554-571, May.
    14. Hubert Pun & Jayashankar M. Swaminathan & Pengwen Hou, 2021. "Blockchain Adoption for Combating Deceptive Counterfeits," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 864-882, April.
    15. Zhang, Cheng & Dhaliwal, Jasbir, 2009. "An investigation of resource-based and institutional theoretic factors in technology adoption for operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 120(1), pages 252-269, July.
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