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International Journal of Crowd Science 2022, 6(4): 195-222 https://doi.org/10.26599/IJCS.2022.9100026
Open Access | Issue | Published: 30 November 2022

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective

Show Author's Information Xiao Xue1( ),  Guanding Li1,  Deyu Zhou2,  Yepeng Zhang1,  Lu Zhang1,  Yang Zhao3,  Zhiyong Feng1,  Lizhen Cui2,4,  Zhangbing Zhou5,  Xiao Sun6,  Xudong Lu2,4,  Shizhan Chen1
College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
School of Software, Shandong University, Jinan 250101, China
China Center for Internet Economy Research (CCIE), Central University of Finance and Economics, Beijing 100081, China
School of Software and Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan 250101, China
School of Information Engineering, China University of Geosciences, Beijing 100083, China
National Engineering Laboratory for E-Commerce Technology (NELECT), Department of Automation, Tsinghua University, Beijing 100084, China
Keywords:
crowd intelligence, service ecosystem, smart service, service-oriented architecture (SOA) like operation logic, DOSPR research framework, hierarchical research scale
Cite this article:
Xue X, Li G, Zhou D, et al. Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective. International Journal of Crowd Science, 2022, 6(4): 195-222. https://doi.org/10.26599/IJCS.2022.9100026
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Abstract Full text About this article

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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About this article

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective

Show Author's information Xiao Xue1( ), Guanding Li1, Deyu Zhou2, Yepeng Zhang1, Lu Zhang1, Yang Zhao3, Zhiyong Feng1, Lizhen Cui2,4, Zhangbing Zhou5, Xiao Sun6, Xudong Lu2,4, Shizhan Chen1
College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
School of Software, Shandong University, Jinan 250101, China
China Center for Internet Economy Research (CCIE), Central University of Finance and Economics, Beijing 100081, China
School of Software and Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan 250101, China
School of Information Engineering, China University of Geosciences, Beijing 100083, China
National Engineering Laboratory for E-Commerce Technology (NELECT), Department of Automation, Tsinghua University, Beijing 100084, China

Abstract

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.

Keywords: crowd intelligence, service ecosystem, smart service, service-oriented architecture (SOA) like operation logic, DOSPR research framework, hierarchical research scale

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Received: 06 April 2022
Revised: 23 June 2022
Accepted: 27 June 2022
Published: 30 November 2022
Issue date: December 2022

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