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How Do You Reduce Waiting Time?

Analytical Model Expansion with Unstructured Data

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Knowledge and Systems Sciences (KSS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 949))

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Abstract

Numerous studies have investigated the factors that influence decision-making. Questionnaires have played a critical role in verifying the statistical significance of the conceptual model in these studies. In addition to observable facts, it is extremely important that records of memories obtained from surveys accurately describe the judgment process of individuals. However, it is also a fact that subjective memory is not always objectively accurate owing to indications that marketing research methods for understanding consumers alter their memory. In general, data on individual decision-making in a service operation does not remain in the record. In this study, we examine whether unstructured data from games can effectively contribute to service improvements using a consumer’s decision-making model of service selection. The agent-based decision-making model is expanded to a gaming framework. We determine that the clues, obtained through cooperative games based on this model, effectively contribute to service improvements. Players discuss their experiences of the game during a debriefing. The extracted strategy that uses the unstructured data, such as the awareness and discussion outcomes of players, is examined through computer simulation.

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Author information

Authors and Affiliations

  1. University of Tsukuba, 3-9-21 Otsuka, Bunkyo, Tokyo, Japan

    Keiichi Ueda & Setsuya Kurahashi

Authors
  1. Keiichi Ueda
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  2. Setsuya Kurahashi
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Corresponding author

Correspondence to Keiichi Ueda .

Editor information

Editors and Affiliations

  1. School of Economics and Management, Tsinghua University, Beijing, China

    Jian Chen

  2. Graduate School of Business Sciences, University of Tsukuba, Bunkyō, Tokyo, Tokyo, Japan

    Yuji Yamada

  3. Faculty of Business Sciences, University of Tsukuba, Tokyo, Japan

    Mina Ryoke

  4. Institute of Systems Science, CAS Academy of Mathematics and Systems Sciences, Beijing, China

    Xijin Tang

A The Analytical Development Life Cycle

A The Analytical Development Life Cycle

Fig. 11.
figure 11

The analytical development life cycle

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Ueda, K., Kurahashi, S. (2018). How Do You Reduce Waiting Time?. In: Chen, J., Yamada, Y., Ryoke, M., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2018. Communications in Computer and Information Science, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-3149-7_3

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  • DOI: https://doi.org/10.1007/978-981-13-3149-7_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3148-0

  • Online ISBN: 978-981-13-3149-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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