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Knowledge Sharing Game for Sales Recovery and Food Waste Reduction at Restaurants

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Gaming, Simulation and Innovations: Challenges and Opportunities (ISAGA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13219))

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Abstract

The coronavirus disease (COVID-19) has affected global economies including food industry. The food service industry is unable to operate normally and faces issues such as frequent leave requests, shortened business hours and reduction in the number of seats in restaurants to prevent the spread of COVID-19. As a result, several restaurants have been forced to close. Therefore, this study proposes a game system that applies the mechanism of the prediction market to solicit ideas from employees for recovery of sales in small restaurants and effective use of ingredients (including reduction of food waste) under the business scenario in COVID-19. In such a game, routine restaurant operations can be understood, current issues can be analyzed and the deductions from these can be used as a reference for subsequent business opportunities. The game will improve communication between owners and employees. Understanding the contents of food waste will be beneficial to employees and consumers.

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Author information

Authors and Affiliations

  1. Department of Food Environment Economics, Tokyo University of Agriculture, 1-1-1, Sakuragaoka, Setagaya-ku, Tokyo, 156-0054, Japan

    Mizuho Sato

  2. Department of Industrial and Systems Engineering, Aoyama Gakuin University, 5-10-1 Fuchinobe, Chuo-ku, Sagamihara-shi, Kanagawa, 252-5258, Japan

    Hajime Mizuyama

Authors
  1. Mizuho Sato
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  2. Hajime Mizuyama
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Corresponding author

Correspondence to Mizuho Sato .

Editor information

Editors and Affiliations

  1. Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, Madhya Pradesh, India

    Upinder Dhar

  2. Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India

    Jigyasu Dubey

  3. Mantis, New Delhi, Delhi, India

    Vinod Dumblekar

  4. KTH Royal Institute of Technology, Stockholm, Stockholms Län, Sweden

    Sebastiaan Meijer

  5. University of Canterbury, Christchurch, New Zealand

    Heide Lukosch

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Sato, M., Mizuyama, H. (2022). Knowledge Sharing Game for Sales Recovery and Food Waste Reduction at Restaurants. In: Dhar, U., Dubey, J., Dumblekar, V., Meijer, S., Lukosch, H. (eds) Gaming, Simulation and Innovations: Challenges and Opportunities. ISAGA 2021. Lecture Notes in Computer Science, vol 13219. Springer, Cham. https://doi.org/10.1007/978-3-031-09959-5_22

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  • DOI: https://doi.org/10.1007/978-3-031-09959-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09958-8

  • Online ISBN: 978-3-031-09959-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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