Dobrovnik, Mario, Herold, David Martin, Kummer, Sebastian, Mikl, Jasmin, Hribernik, Marko. 2019. An organisational theoretic review of blockchain literature in logistics and supply chain management: Identifying research questions and future directions. 14th European Research Seminar (ERS) on Logistics and SCM, Warsaw, Polen, 16.5.-17.5.
BibTeX
Abstract
Potential blockchain applications for logistics and supply chain management (SCM) have gained increasing attention within both academia and industry. As the literature grows, finding new directions by critically evaluating the research and identifying future directions becomes important in advancing knowledge for the field. Using organisational theories to help categorise the literature provides opportunities to address both the objectives of understanding where the field currently stands and identifying research opportunities and directions. After providing a background discussion on the nexus between blockchain and SCM, we categorise and review recent SCM literature using the eight most common organisational theories, namely game theory, information theory, institutional theory, network theory, path-dependency theory, resource-based view, stakeholder theory and transaction cost economics, to identify potential blockchain-specific research questions that are worthy of investigation.
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Status of publication | Published |
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Affiliation | WU |
Type of publication | Paper presented at an academic conference or symposium |
Language | English |
Title | An organisational theoretic review of blockchain literature in logistics and supply chain management: Identifying research questions and future directions |
Event | 14th European Research Seminar (ERS) on Logistics and SCM |
Year | 2019 |
Date | 16.5.-17.5. |
Country | Poland |
Location | Warsaw |
URL | https://cscmpeurope.org/ers-2019/ |
Associations
- People
- Dobrovnik, Mario (Details)
- Herold, David Martin (Details)
- Kummer, Sebastian (Details)
- Mikl, Jasmin (Former researcher)
- Hribernik, Marko (Details)
- Organization
- Institute for Transport and Logistics Management (Details)
- Research areas (Ă–STAT Classification 'Statistik Austria')
- 5332 Transport economics (Details)
- 5333 Business management (Details)
- 5354 Business logistics (Details)
- 5368 Sustainable development, sustainable economics (Details)