Abstract
Under the platform economy, more and more enterprises attract users to participate in innovation by means of Open Innovation Communities (OIC) and improve organizational performance through knowledge sharing. How to evaluate the efficiency of knowledge sharing scientifically is of great significance. In this paper, a total of 61 “circles” datum of the **aomi community were acquired as examples and divided into categories, and they were evaluated the knowledge sharing efficiency using the three-stage DEA model. The results showed that environmental factors and random interference had a strong impact on the efficiency of knowledge sharing in the community of enterprises. The comprehensive technical efficiency of 91.67% of the “circles” decreased significantly after adjustment, mainly due to low scale efficiency. The number of users featured posts, the number of fans, employee participation and the percentage of authenticated users had a positive impact on the efficiency of knowledge sharing in the community, and the number of user posts and community size had a negative impact on the efficiency of the community knowledge sharing. Finally, it discussed countermeasures and suggestions to improve the efficiency of knowledge sharing in the enterprise-hosted community from three aspects: community scale, community incentive system, and personalized service.
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This research was supported by the National Social Science Foundation of China under Grant 17BGL028.
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Tian, J., Gao, X. (2023). Research on Knowledge Sharing Efficiency Evaluation of Open Innovation Community: A Case of **aomi Community. In: Tu, Y., Chi, M. (eds) E-Business. Digital Empowerment for an Intelligent Future. WHICEB 2023. Lecture Notes in Business Information Processing, vol 480. Springer, Cham. https://doi.org/10.1007/978-3-031-32299-0_2
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