IoT and the Smart Connected World
Loading...
Paper Type
Complete
Paper Number
1583
Description
Platform providers can use Boundary Resources (BR) to enable complementors to utilize the platform to create value, simultaneously controlling the complementary output. Despite their significance, not much is currently known about the quality of BRs and their impact on the complementor satisfaction. This paper presents the results of the complementor satisfaction study in the Industrial Internet of Things (IIoT) domain through the application of the critical incident technique (CIT). Applying the Kano model, the first result sheds light on how the platform providers affect complementor satisfaction through various BRs. The second result discovers satisfaction-relevant quality dimensions (QD) for each evaluated BR. Our findings show which BRs are suitable to leverage the satisfaction-driven complementor engagement in platform-based IIoT ecosystems, establishing a link between the decisions on BR quality and the platform-based innovation dynamics, if satisfaction is incorporated in the design of BRs.
Recommended Citation
Petrik, Dimitri and Herzwurm, Georg, "Boundary Resources for IIoT Platforms – a Complementor Satisfaction Study" (2020). ICIS 2020 Proceedings. 2.
https://aisel.aisnet.org/icis2020/iot_smart/iot_smart/2
Boundary Resources for IIoT Platforms – a Complementor Satisfaction Study
Platform providers can use Boundary Resources (BR) to enable complementors to utilize the platform to create value, simultaneously controlling the complementary output. Despite their significance, not much is currently known about the quality of BRs and their impact on the complementor satisfaction. This paper presents the results of the complementor satisfaction study in the Industrial Internet of Things (IIoT) domain through the application of the critical incident technique (CIT). Applying the Kano model, the first result sheds light on how the platform providers affect complementor satisfaction through various BRs. The second result discovers satisfaction-relevant quality dimensions (QD) for each evaluated BR. Our findings show which BRs are suitable to leverage the satisfaction-driven complementor engagement in platform-based IIoT ecosystems, establishing a link between the decisions on BR quality and the platform-based innovation dynamics, if satisfaction is incorporated in the design of BRs.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.