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- Title
An ecology‐oriented convergence evolution analysis method of crossover service ecosystems.
- Authors
Qiao, Yu; Wang, Jian; Liu, Zhengli; Tang, Wei; Lu, Xiangfei; Li, Bing
- Abstract
The 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. This paper addresses the convergence‐evolution mechanism in the context of crossover service ecosystems, proposing population‐based and community‐based convergence‐evolution patterns. It introduces an ecology‐oriented evolution analysis approach and an automated tool to support the evolution design of crossover service ecosystems. Case studies and evaluations validate the effectiveness of the proposed approach in aiding requirements' analysts in modeling and analyzing crossover service ecosystem evolution, offering valuable insights for crossover service evolution in the modern service industry.
- Subjects
ECOSYSTEM services; VALUE creation; SERVICE design; DESIGN services; SERVICE industries
- Publication
Journal of Software: Evolution & Process, 2024, Vol 36, Issue 7, p1
- ISSN
2047-7473
- Publication type
Article
- DOI
10.1002/smr.2635