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Service Ecosystem Design Using Social Modeling to Incorporate Customers’ Behavioral Logic

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Serviceology for Services (ICServ 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1189))

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Abstract

The Customer dysfunctional behaviors affect service providers’ workloads. However, few studies on service ecosystem design have investigated how to prevent these behaviors. This study thus proposes a service ecosystem design tool that can analyze how dysfunctional behaviors affect other actors in the service ecosystem. To this end, customers’ behavioral logic is incorporated into social modeling to analyze their dysfunctional behaviors. This study also uses goal-oriented requirement language as design and analysis tools. Then, structural equation modeling is used to analyze the effects of behavioral logics. A case study of a home delivery service demonstrates the applicability of this methodology to analyze the effects of customer behavioral logics on service ecosystem actors.

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Acknowledgments

This study is based on results obtained from the Strategic Advancement of Multi-Purpose Ultra-Human Robot and Artificial Intelligence Technologies (SamuRAI) project commissioned by the New Energy and Industrial Technology Development (NEDO).

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Correspondence to Masafumi Hamano .

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Appendix

Appendix

Table 3. Questions used for SEM analysis (questions were answered on a five-point Likert scale, ranging from 1 (totally disagree) to 5 (totally agree))

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Hamano, M., Ho, B.Q., Hara, T., Ota, J. (2020). Service Ecosystem Design Using Social Modeling to Incorporate Customers’ Behavioral Logic. In: Takenaka, T., Han, S., Minami, C. (eds) Serviceology for Services. ICServ 2020. Communications in Computer and Information Science, vol 1189. Springer, Singapore. https://doi.org/10.1007/978-981-15-3118-7_14

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  • DOI: https://doi.org/10.1007/978-981-15-3118-7_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3117-0

  • Online ISBN: 978-981-15-3118-7

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