Abstract
Trans-boundary and integration are important characteristics of the development of modern service industry. With the development of Internet technology, trans-boundary cooperation between domains constantly emerges, which drives the development of service ecosystem. Currently, there is a lack of an appropriate model for analyzing the impact of trans-boundary services on the entire service ecosystem. In this paper, we propose a service ecosystem trans-boundary evolution model (SETE). It analyzes the interactions between user needs and services, and focuses on the mechanism of trans-boundary services to promote the evolution of the service ecosystem. At the same time, we develop a diversity measurement algorithm for service ecosystems based on the theory of biodiversity in ecology. Based on these, a computational experimental system is established. It simulates the trans-boundary evolution mechanism of the service ecosystem and shows the characteristics of each stage of the service ecosystem evolution. At last, we verify the effectiveness of the SETE model through actual cases (the Alibaba Group). The results show that the SETE model can provide new ideas for the study of the trans-boundary evolution of the service ecosystem, and provide decision support for the development direction of the modern service industry.
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Acknowledgement
This work is supported by the National Key R&D Program of China grant No. 2017YFB1401201, the National Natural Science Key Foundation of China grant No. 61832014 and No. 61972276, the Shenzhen Science and Technology Foundation grant JCYJ20170816093943197, and the Natural Science Foundation of Tianjin City grant No. 19JCQNJC00200.
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Gao, T., Feng, Z., Chen, S., Xiao, X. (2021). SETE: A Trans-Boundary Evolution Model of Service Ecosystem Based on Diversity Measurement. In: Gao, H., Wang, X., Iqbal, M., Yin, Y., Yin, J., Gu, N. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-030-67537-0_14
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