Capabilities for Data Analytics in Industrial Internet of Things (IIoT)

S. Bagheri, Jesse Dijkstra

Research output: Contribution to conferencePaperAcademic


The use of Industrial Internet of Things (IIoT) technologies in various industrial sectors has resulted in the generation of large volumes of data that can be analyzed using analytics tools to improve firm performance. However, there is a gap in our understanding of the capabilities that companies need to create business value through data analytics in IIoT environments. Although previous research has extensively investigated general data analytics capabilities, the literature on these capabilities cannot be simply transferred to IIoT settings due to the unique characteristics of the IIoT. In this paper, we aim to contribute to our understanding of this phenomenon by identifying the capabilities required for IIoT data analytics. Firstly, we identify data analytics capabilities from existing literature and then investigate the relevance of these capabilities in the context of IIoT by conducting 16 expert interviews across nine organizations. We identify a set of 24 capabilities for data analytics in IIoT, which we classify into an integrative framework. The proposed framework can assist industrial companies dealing with the complexities and uncertainties associated with IIoT data analytics initiatives.
Original languageEnglish
Number of pages16
Publication statusPublished - 2023
Event31st European Conference on Information Systems - Kristiansand, Norway
Duration: 13 Jun 202316 Jun 2023
Conference number: 31


Conference31st European Conference on Information Systems
Abbreviated titleECIS 2023
Internet address


  • Industrial Internet of Things
  • IIoT capabilities
  • data analytics capabilities
  • Business value


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