Tweeting in IIoT Ecosystems – Empirical Insights from Social Media Analytics about IIoT Platforms
Petrik D, Pantow K, Zschech P, Herzwurm G (2021)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2021
Publisher: Springer
Series: Innovation Through Information Systems
Book Volume: Lecture Notes in Information Systems and Organisation
Conference Proceedings Title: Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI)
Event location: Duisburg-Essen
URI: https://aisel.aisnet.org/wi2021/GFuture18/Track18/3/
DOI: 10.1007/978-3-030-86800-0_32
Open Access Link: https://doi.org/10.1007/978-3-030-86800-0_32
Abstract
The market for the Industrial Internet of Things (IIoT) platforms remains highly dynamic and is rapidly evolving regarding the growth of the platform-based ecosystems. However, digital platforms, used in the industrial
business-to-business setting, differ significantly from the established platforms in the business-to-consumer domains and remain little researched. In this study, we apply a data-driven approach and conduct bottom-up and top-down content analysis, exploring social media data on the current state of IIoT platforms. For a top-down analysis, we draw on the theoretical concept of platform boundary resources. Specifically, we apply descriptive analytics and topic modeling on the Twitter data regarding the market-ready IIoT platforms Adamos, Cumulocity,
Watson IoT, MindSphere, Leonardo, and ThingWorx, thus conducting an exploratory multiple case study. Our findings generate descriptive insights on the currently discussed topics in the area of IIoT platforms, contributing to the knowledge of the current state of digital platforms used in IIoT.
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How to cite
APA:
Petrik, D., Pantow, K., Zschech, P., & Herzwurm, G. (2021). Tweeting in IIoT Ecosystems – Empirical Insights from Social Media Analytics about IIoT Platforms. In Ahlemann F., Schütte R., Stieglitz S. (Eds.), Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI). Duisburg-Essen, DE: Springer.
MLA:
Petrik, Dimitri, et al. "Tweeting in IIoT Ecosystems – Empirical Insights from Social Media Analytics about IIoT Platforms." Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI), Duisburg-Essen Ed. Ahlemann F., Schütte R., Stieglitz S., Springer, 2021.
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