The Generativity of Industrial IoT Platforms: Beyond Predictive Maintenance?

Pauli T, Lin Y (2019)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Conference Proceedings Title: Proceedings of the 40th International Conference on Information Systems

Event location: München

Abstract

As the Industrial Internet of Things (IIoT) increasingly connects various assets, firms are establishing platforms to harness the data and make it available to third parties to create complementary offerings. As a result, IIoT platforms possess high generativity, i.e. the potential of triggering a variety of innovations. However, little is known to date about how this generative potential is leveraged. Therefore, in this study, we analyzed the solutions provided via the IIoT platform of a large European industrial firm along two dimensions: the diversity of solution scenarios they address, and the diversity of capabilities they display. Our preliminary results indicate that the diversity of scenarios addressed by IIoT solutions is quite high, whereas the diversity of capabilities is mainly limited to monitoring. Our study provides empirical insights on the generativity of IIoT platforms and extends the literature on digital platforms by indicating that generativity might require a more differentiated analysis.

Authors with CRIS profile

How to cite

APA:

Pauli, T., & Lin, Y. (2019). The Generativity of Industrial IoT Platforms: Beyond Predictive Maintenance? In Proceedings of the 40th International Conference on Information Systems. München.

MLA:

Pauli, Tobias, and Yanpei Lin. "The Generativity of Industrial IoT Platforms: Beyond Predictive Maintenance?" Proceedings of the Proceedings of the 40th International Conference on Information Systems, München 2019.

BibTeX: Download