IoT, Smart Cities, Services and Government
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Paper Number
1554
Paper Type
Completed
Description
To create customer value, IoT platform providers require complementors to utilize boundary resources (BR) to create platform-based innovations. Although BRs are an important determinant in the success formula of digital platforms, the exploration of the satisfaction potential of BR used by IoT platforms is still in its infancy. In this paper, we present the results of an empirical satisfaction study among complementors from the Azure IoT ecosystem. Linking Kano’s theory of the attractive quality with the expectation-confirmation model, we survey 83 complementors on their satisfaction with the nine identified technical BR, designed and maintained by Microsoft. Our study offers insights on the satisfactory potential of technical BR for IoT ecosystem participants. The results explore the satisfaction potential of the technical BR, and thus support IoT platform providers in the optimization of the development of technical BR, and enable further research to derive implications for satisfaction-maximizing provisioning of BR for IoT platforms.
Recommended Citation
Petrik, Dimitri; Model, Kleophas; Drebinger, Lion Alexander; and Herzwurm, Georg, "Exploring the Satisfaction Potential of Technical Boundary Resources in IoT Platforms – The Microsoft Azure Case" (2021). ICIS 2021 Proceedings. 3.
https://aisel.aisnet.org/icis2021/iot_smart/iot_smart/3
Exploring the Satisfaction Potential of Technical Boundary Resources in IoT Platforms – The Microsoft Azure Case
To create customer value, IoT platform providers require complementors to utilize boundary resources (BR) to create platform-based innovations. Although BRs are an important determinant in the success formula of digital platforms, the exploration of the satisfaction potential of BR used by IoT platforms is still in its infancy. In this paper, we present the results of an empirical satisfaction study among complementors from the Azure IoT ecosystem. Linking Kano’s theory of the attractive quality with the expectation-confirmation model, we survey 83 complementors on their satisfaction with the nine identified technical BR, designed and maintained by Microsoft. Our study offers insights on the satisfactory potential of technical BR for IoT ecosystem participants. The results explore the satisfaction potential of the technical BR, and thus support IoT platform providers in the optimization of the development of technical BR, and enable further research to derive implications for satisfaction-maximizing provisioning of BR for IoT platforms.
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