An ecology‐oriented convergence evolution analysis method of crossover service ecosystems

Author:

Qiao Yu1ORCID,Wang Jian1,Liu Zhengli2,Tang Wei1,Lu Xiangfei1,Li Bing13

Affiliation:

1. School of Computer Science Wuhan University Wuhan China

2. School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China

3. Research Center of Complex Network Wuhan University Wuhan China

Abstract

AbstractThe phenomenon of crossover cooperation and convergence among services has gained increasing attention in the modern service industry. Service boundaries have been expansively stretched into other domains rather than limited to their original domains to achieve value creation, fostering the emergence of crossover services. Consequently, a complex service ecosystem takes shape. However, there is a lack of the convergence‐evolution mechanism of crossover services for the adaptive transformation of service providers' businesses in this context. To address this problem, this paper proposes population‐based and community‐based convergence‐evolution patterns from the ecological perspective. Based on the analysis of these evolution patterns and the driven force of service evolution, we propose an ecology‐oriented evolution analysis method. Furthermore, we devise an automated tool to support the evolution design of crossover service ecosystems. Case studies and evaluation experiments show the feasibility and effectiveness of our proposed method and the corresponding tool.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Software

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