The purpose of this paper is to investigate the suitability of Blockchain technology for applications in the Industrial Internet of Things (IIOT). It provides a taxonomy of system requirements for such applications and maps these requirements against the Blockchain’s technological idiosyncrasies.
A requirement taxonomy is built in an iterative process based on a descriptive literature review. In total, 223 studies have been screened leading to a relevant sample of 48 publications that were analyzed in detail regarding posed system requirements. Subsequently, Blockchain’s capabilities are discussed for each requirement dimension.
The paper presents a taxonomy of six requirement dimensions. In the mapping process, areas of greater fit (e.g., reliability, nonrepudiation and adaptability) were identified. However, there are also several constraints (e.g., scalability, confidentiality and performance) that limit the use of Blockchain.
Due to the limited amount of studies and the vibrant development of Blockchain technology, the results may benefit from practical evidence. Researchers are encouraged to validate the results in qualitative practitioner interviews. Focusing on literature-backed public Blockchain, idiosyncrasies of private implementations and specific distributed ledger technologies may be discussed in future studies.
The paper includes use cases for Blockchain in manufacturing and IIOT applications. Potential caveats for practitioners are presented.
This paper addresses the need to understand to which degree Blockchain is a suitable technology in manufacturing, especially in context of the IIOT. It contributes a requirement taxonomy which serves as the foundation for a systematic fit assessment.
Siegfried, N., Rosenthal, T. and Benlian, A. (2020), "Blockchain and the Industrial Internet of Things: A requirement taxonomy and systematic fit analysis", Journal of Enterprise Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEIM-06-2018-0140Download as .RIS
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