Making sense of blockchain technology: How will it transform supply chains?

By Yingli Wang, M. Singgih, Jingyao Wang, Mihaela Rit. International Journal of Production Economics, 2019

676 citations recorded by the source corpus.

Abstract This research uses sensemaking theory to explore how emerging blockchain technology may transform supply chains. We investigate three research questions (RQs): What are blockchain technology's perceived benefits to supply chains, where are disruptions mostly likely to occur and what are the potential challenges to further blockchain diffusion? We conducted in-depth interviews with 14 supply chain experts. Cognitive mapping and narrative analysis were deployed as the two main data analysis techniques to aid our understanding and evaluation of people's cognitive complexity in making sense of blockchain technology. We found that individual experts developed different cognitive structures within their own sensemaking processes. After merging individual cognitive maps into a strategic map, we identified several themes and central concepts that then allowed us to explore potential answers to the three RQs. Our study is among the very few to date to explicitly explore how blockchains may transform supply chain practices. Using the sensemaking approach afforded a deeper understanding of how senior executives diagnose the symptoms evident from blockchains and develop assumptions, expectations and knowledge of the technology, which will then shape their future actions regarding its utilisation. We demonstrate the usefulness of sensemaking theory as an alternative lens in investigating contemporary supply chain phenomena such as blockchains. Bringing sensemaking theory to this discipline in particular enriches emerging behavioural operations research. Our contributions also lie in extending the theories of prospective sensemaking and adding further insights to the stream of technology adoption studies.

Subfields: Information Systems, Information Systems and Management, Marketing

View Paper: https://www.semanticscholar.org/paper/a27da4a7af6ded1cbddab51dd0a7ce90adc1d80e

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In Information Systems

  1. Marc de Bourmont
  2. Renato Telles
  3. Samuel Fosso Wamba
  4. Maciel Manoel de Queiroz
  5. Shuangfa Huang
  6. Diego Vazquez-Brust
  7. Simonov Kusi‐Sarpong
  8. Ifeyinwa Juliet Orji

In Information Systems and Management

  1. Renato Telles
  2. Marc de Bourmont
  3. Samuel Fosso Wamba
  4. Maciel Manoel de Queiroz
  5. Shuangfa Huang
  6. Diego Vazquez-Brust
  7. Simonov Kusi‐Sarpong
  8. Ifeyinwa Juliet Orji

In Marketing

  1. Renato Telles
  2. Marc de Bourmont
  3. Samuel Fosso Wamba
  4. Maciel Manoel de Queiroz
  5. Diego Vazquez-Brust
  6. Simonov Kusi‐Sarpong
  7. Yogesh Kumar Dwivedi

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