Kummer, Sebastian, Herold, David Martin, Dobrovnik, Mario, Mikl, Jasmin, Schäfer, Nicole. 2020. A Systematic Review of Blockchain Literature in Logistics and Supply Chain Management: Identifying Research Questions and Future Directions. Future Internet. 12 (3), 1-15.
BibTeX
Abstract
Potential blockchain applications in logistics and supply chain (LSCM) have gained increasing attention within both academia and industry. However, as a field in its infancy, blockchain research often lacks theoretical foundations, and it is not clear which and to what extent organizational theories are used to investigate blockchain technology in the field of LSCM. In response, based upon a systematic literature review, this paper: (a) identifies the most relevant organizational theories used in blockchain literature in the context of LSCM; and (b) examines the content of the identified organizational theories to formulate relevant research questions for investigating blockchain technology in LSCM. Our results show that blockchain literature in LSCM is based around six organizational theories, namely: agency theory, information theory, institutional theory, network theory, the resource-based view and transaction cost analysis. We also present how these theories can be used to examine specific blockchain problems by identifying blockchain-specific research questions that are worthy of investigation.
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Status of publication | Published |
---|---|
Affiliation | WU |
Type of publication | Journal article |
Journal | Future Internet |
Language | English |
Title | A Systematic Review of Blockchain Literature in Logistics and Supply Chain Management: Identifying Research Questions and Future Directions |
Volume | 12 |
Number | 3 |
Year | 2020 |
Page from | 1 |
Page to | 15 |
Reviewed? | Y |
URL | https://www.mdpi.com/1999-5903/12/3/60 |
DOI | http://dx.doi.org/10.3390/fi12030060 |
Open Access | Y |
Open Access Link | https://www.mdpi.com/1999-5903/12/3/60/htm |
Associations
- People
- Kummer, Sebastian (Details)
- Herold, David Martin (Details)
- Dobrovnik, Mario (Details)
- Mikl, Jasmin (Former researcher)
- Schäfer, Nicole (Former researcher)
- Organization
- Institute for Transport and Logistics Management IN (Details)
- Institute for Transport and Logistics Management (Details)
- Research Institute for Supply Chain Management FI (Details)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 1112 Logistics (Details)
- 5307 Business and management economics (Details)
- 5310 Manufacturing (Details)
- 5332 Transport economics (Details)
- 5333 Business management (Details)
- 5336 Commodity science (Details)
- 5337 World trade science (Details)
- 5354 Business logistics (Details)