Enterprises establish OIP (open innovation platform) to improve innovation performance, but choosing which idea to convert is a complex decision-making problem. This research focuses on consumer feedback and uses text mining methods to obtain the consumer satisfaction of innovative products from online reviews to measure innovation performance. Based on innovation value chain theory and innovation literature, we propose a model that can help determine how to manage ideas for higher consumer satisfaction by exploring the three aspects of an idea in OIP: commonness, discussion and support. Our preliminary empirical research found that products converted from ideas with higher degree of commonness, discussion and support are more likely to gain good consumer satisfaction. This research contributes to the OIP literature and provides insights for the management of OIP in enterprises.
Chu, Ying; Xu, Hongzhen; and Qi, Guijie, "Research on the Innovation Performance of OIP" (2021). PACIS 2021 Proceedings. 154.
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