Research Article
SETE: A Trans-Boundary Evolution Model of Service Ecosystem Based on Diversity Measurement
@INPROCEEDINGS{10.1007/978-3-030-67537-0_14, author={Tong Gao and Zhiyong Feng and Shizhan Chen and Xue Xiao}, title={SETE: A Trans-Boundary Evolution Model of Service Ecosystem Based on Diversity Measurement}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16--18, 2020, Proceedings, Part I}, proceedings_a={COLLABORATECOM}, year={2021}, month={1}, keywords={Diversity measurement Service ecosystem Trans-boundary service Service evolution Computational experiment}, doi={10.1007/978-3-030-67537-0_14} }- Tong Gao
Zhiyong Feng
Shizhan Chen
Xue Xiao
Year: 2021
SETE: A Trans-Boundary Evolution Model of Service Ecosystem Based on Diversity Measurement
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-67537-0_14
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.
