Description
Fostering the provision of digital services, innovation platforms reorganize the value creation, enabling complementary partners to innovate through the utilization of the offered boundary resources (BR). However, the use of BR for ecosystem management can become a challenging task for the platform provider. For example, due to the large number of BRs and their simultaneous use by complementors, it is a challenge for the platform provider to monitor and improve the quality of the BRs simultaneously. Against this background, the paper presents a partial dissertation result, introducing a software prototype for collecting complementor feedback on BRs. This feedback is processed to improve the quality of BRs and monitor complementor satisfaction to facilitate the management of the BR ecosystem. The prototype was evaluated with representatives from 10 industrial and enterprise IoT platform companies, confirming its usefulness for platform ecosystem providers, which is why it qualifies for the prototype excellence track format.
Recommended Citation
Petrik, Dimitri, "Software Supported Quality Management of Boundary Resources and Complementor Satisfaction" (2022). Wirtschaftsinformatik 2022 Proceedings. 32.
https://aisel.aisnet.org/wi2022/prototype_track/prototype_track/32
Software Supported Quality Management of Boundary Resources and Complementor Satisfaction
Fostering the provision of digital services, innovation platforms reorganize the value creation, enabling complementary partners to innovate through the utilization of the offered boundary resources (BR). However, the use of BR for ecosystem management can become a challenging task for the platform provider. For example, due to the large number of BRs and their simultaneous use by complementors, it is a challenge for the platform provider to monitor and improve the quality of the BRs simultaneously. Against this background, the paper presents a partial dissertation result, introducing a software prototype for collecting complementor feedback on BRs. This feedback is processed to improve the quality of BRs and monitor complementor satisfaction to facilitate the management of the BR ecosystem. The prototype was evaluated with representatives from 10 industrial and enterprise IoT platform companies, confirming its usefulness for platform ecosystem providers, which is why it qualifies for the prototype excellence track format.