Value-Based Analysis Framework of Crossover Service: A Case Study of New Retail in China

Xue, Xiao; Gao, Jiajia; Wu, Shuang; Wang, Shufang; Feng, Zhiyong

doi:10.1109/tsc.2019.2922180

Cited by 16 publications

(3 citation statements)

References 21 publications

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“…Wu et al 29 proposed a modeling framework for crossover services in which services from multiple domains collaborate to create new values rather than a single service. Xue et al 30 proposed an analysis framework for crossover services from the perspective of value creation and realization and apply to the New Retail model in China to clarify the implementation process of crossover service and compare the performance of different execution paths using computational experiments. Chen et al 31 proposed a temporal–spatial domain ternary model to specify value‐related factors in business processes such as KPIs and constraints on activities and resource utilization.…”

Section: Related Workmentioning

confidence: 99%

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

Qiao,

Wang,

Liu

et al. 2023

J Software Evolu Process

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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.

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Section: Related Workmentioning

confidence: 99%

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

Qiao,

Wang,

Liu

et al. 2023

J Software Evolu Process

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“…In recent years, e-business has been developing at full speed far beyond people's imagination. Up to now, electronic commerce development in China has entered the New Retail stage [50] . As for the reconstruction and upgrading of " user, commodity, and market", the New Retail trend gradually emerges, which takes the community retail as the front end, Internet-based logistics as the middle end, and big data and financial innovation as the back end.…”

Section: ) E-commerce Service Ecosystemmentioning

confidence: 99%

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective

Xue

Zhou

et al. 2022

Int. J. Crowd Sci.

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With the mutual interaction and dependence of several intelligent services, a crowd intelligence service network has been formed, and a service ecosystem has gradually emerged. Such a development produces an ever-increasing effect on our lives and the functioning of the whole society. These facts call for research on these phenomena with a new theory or perspective, including what a smart society looks like, how it functions and evolves, and where its boundaries and challenges are. However, the research on service ecosystems is distributed in many disciplines and fields, including computer science, artificial intelligence, complex theory, social network, biological ecosystem, and network economics, and there is still no unified research framework. The researchers always have a restricted view of the research process. Under this context, this paper summarizes the research status and future developments of service ecosystems, including their conceptual origin, evolutionary logic, research topic and scale, challenges, and opportunities. We hope to provide a roadmap for the research in this field and promote sound development.

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“…Finally, the scope of smart services covers the whole society, including building, communities, and cities 53,57 . In the construction of service ecosystem, varied service convergence technologies have been proposed, such as service composition (data convergence) 58,59 , Big Service(capability convergence) 60 , and crossover service(domain convergence) 61,62 .…”

Section: Interdisciplinary Researchmentioning

confidence: 99%