Cooperative Approaches to Data Sharing and Analysis for Industrial Internet of Things Ecosystems
Source abstract
Abstract
The collection and analysis of industrial Internet of Things (IIoT) data offer numerous opportunities for value creation, particularly in manufacturing industries. For small and medium-sized enterprises (SMEs), many of those opportunities are inaccessible without cooperation across enterprise borders and the sharing of data, personnel, finances, and IT resources. In this study, we suggest so-called data cooperatives as a novel approach to such settings. A data cooperative is understood as a legal unit owned by an ecosystem of cooperating SMEs and founded for supporting the members of the cooperative. In a series of 22 interviews, we developed a concept for cooperative IIoT ecosystems that we evaluated in four workshops, and we are currently implementing an IIoT ecosystem for the coolant management of a manufacturing environment. We discuss our findings and compare our approach with alternatives and its suitability for the manufacturing domain.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Big Data and Business Intelligence · IoT and Edge/Fog Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Chair of Information Systems I, Universität Stuttgart, 70174 Stuttgart, Germany
Chair of Management Accounting and Control, Universität Stuttgart, 70174 Stuttgart, Germany
Ferdinand-Steinbeis-Institute, 70599 Stuttgart, Germany
Ferdinand-Steinbeis-Institute, 74076 Heilbronn, Germany
Funding
Baden-Wuerttemberg Ministry of Economic Affairs, Labor and Housing
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