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Data-driven Approach to New Service Concept Design

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Exploring Services Science (IESS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 247))

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Abstract

Various types and massive amounts of data are collected in multiple industries. The proliferation of data provides numerous opportunities to improve existing services and develop new ones. Although data utilization contributes to advancing service, studies on the design of new service concepts using data are rare. The present study proposes a data-driven approach to designing new service concepts. The proposed approach is aimed at helping service designers to understand customer behaviors and contexts through data analysis and then generate new service concepts efficiently on the basis of such understanding. A case using bus driving data is introduced to illustrate the process of the proposed approach. The proposed approach provides a basis for the systematic design of new service concepts by enabling efficient data analysis. It also holds the potential to create a synergetic effect if incorporated into existing approaches to designing new service concepts.

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Acknowledgments

This research was supported by the Urban Architecture Research Program through a grant funded by the Ministry of Land, Infrastructure, and Transport (15PTSI-C064868-03) and by the Basic Science Research Program through the National Research Foundation of Korea (NRF) through a grant funded by the Ministry of Science, ICT and Future Planning (NRF-2014R1A2A2A03003387).

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Correspondence to Kwang-Jae Kim .

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© 2016 Springer International Publishing Switzerland

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Kim, MJ., Lim, CH., Lee, CH., Kim, KJ., Choi, S., Park, Y. (2016). Data-driven Approach to New Service Concept Design. In: Borangiu, T., Dragoicea, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2016. Lecture Notes in Business Information Processing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-32689-4_37

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  • DOI: https://doi.org/10.1007/978-3-319-32689-4_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32688-7

  • Online ISBN: 978-3-319-32689-4

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