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現在位置: ホーム ja シラバス(2020年度) 経営管理大学院 実務科目 7240000 AI and Hospitality

7240000 AI and Hospitality

JA | EN

開講年度・開講期 2020・後期
単位数 2 単位
配当学年 1.2
対象学生 大学院生
使用言語 英語
曜時限 金5
教員
  • 竹中 毅(経営管理大学院 客員准教授)
授業の概要・目的 The purpose of this lecture course is to learn the capability of technologies such as AI, ICT, IoT or RT for the innovation of hospitality industries. Participants consider various aspects of value of services for customers, employees and managers with actual indicators and learn how technologies could enhance service systems in a comprehensive manner. In this lecture, it introduces some case studies in which science and technologies were introduced to service industries. Finally, participants discuss and propose future service models by utilizing technologies through group works.
到達目標 To learn basic strategies of introducing technologies to hospitality businesses and understand evaluation indicators to assess various aspects of value of services. Additionally, participants discuss and propose transformative business models which could solve personal, industrial and social problems by utilizing technologies through a groupwork.
授業計画と内容 1. Challenges and problem structure of service industries: labor shortage, low productivity, lack of R&D, customer lifestyle, workstyle, etc.
2. Value of services and evaluation indicators: indicators for management, labor productivity, customer satisfaction, employee satisfaction and benchmarking with various indicators
3. Service engineering: social needs, concept, history and research strategy
4. Technologies for services 1: technologies related to sensing and analysis: IoT, data mining, AI, optimization, etc.
5. Technologies for services 2: technology related to design and application: computer simulation, game theoretic approach, interface design, service robotics, etc.
6. Research examples of service engineering 1: case of retail, restaurant, product-service system
7. Research examples of service engineering 2: case of nursing care, hotel and other services
8. Group work 1: analysis of problem structure of existing services
9. Invited speaker 1: introduction of sensing technologies for restaurant, hotel and manufacturing. behavior sensing technologies, VR/AR, visualization, etc.
10. Invited speaker 2: helping nursing care workers by utilizing behavior analysis, interface, text mining, ontology technology
11. Group work 2: creating transformative services (problem structure, indicators, expecting difficulties, possible technologies)
12. Group work 3: creating transformative services (business models, desirable changes in workstyle or customer behavior)
13. Presentation of future service models by participants and discussion
14. Emerging topics and technologies for services: sharing economy, digital cash, biometrics authentication, personal data repository,
15. Summery and discussion
成績評価の方法・観点 Students are required to participate in more than two-thirds (11 or more) classes and submit the end-term report. Evaluation
will be done as follows; attendance and participation - 50%, end-term report - 50%.
履修要件 特になし
授業外学習(予習・復習)等 It is desirable to collect facts and data of existing services for group work outside of class
教科書
  • No text book is requreid.
参考書等
  • I will introduce some books or papers during class.