Dobrovnik, Mario, Herold, David Martin, Mikl, Jasmin, Hribernik, Marko, Kummer, Sebastian. 2019. Linking organisational theories to logistics and supply chain management literature in the context of blockchain: Identifying new research questions and directions. POMS 30th Annual Conference, Washington, Vereinigte Staaten/USA, 02.05.-06.05.
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 | Linking organisational theories to logistics and supply chain management literature in the context of blockchain: Identifying new research questions and directions |
Event | POMS 30th Annual Conference |
Year | 2019 |
Date | 02.05.-06.05. |
Country | United States/USA |
Location | Washington |
URL | https://pomsmeetings.org/conf-2019/ |
Associations
- People
- Dobrovnik, Mario (Details)
- Herold, David Martin (Details)
- Mikl, Jasmin (Details)
- Hribernik, Marko (Details)
- Kummer, Sebastian (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)