NTU Course

Artificial Intelligence in Management Seminar (II)(Ⅱ)

Offered in 112-2
  • Serial Number

    41646

  • Course Number

    IM7105

  • Course Identifier

    725 M3800

  • No Class

  • 2 Credits
  • Elective

    GRADUATE INSTITUTE OF INFORMATION MANAGEMENT

      Elective
    • GRADUATE INSTITUTE OF INFORMATION MANAGEMENT

  • MING-HUI HUANG
    • View Courses Offered by Instructor
    • COLLEGE OF MANAGEMENT DEPARTMENT OF INFORMATION MANAGEMENT

    • huangmh@ntu.edu.tw

    • Mmgt II building, Room 1015
    • 02-33661185

    • Ming-Hui Huang is Distinguished Professor, Department of Information Management, College of Management, National Taiwan University. Professor Huang received her PhD from the University of Wisconsin-Madison, USA. She is the first and only Asian-based fellow of European Marketing Academy (EMAC), International Research Fellow of the Centre for Corporate Reputation, University of Oxford, UK, and Distinguished Research Fellow of the Center for Excellence in Service, University of Maryland, USA. Professor Huang specializes in interdisciplinary research, with publications encompassing both academic and managerial journals in Marketing, Information Systems and Strategy, such as the J. of Marketing, J. of the Academy of Marketing Science (JAMS), Marketing Science, Harvard Business Review, MIT Sloan Management Review, California Management Review, J. of Service Research (JSR), International Journal of Research in Marketing (IJRM), J. of Management Information Systems, Decision Sciences, J. of Consumer Psychology, J. of Retailing, and Information & Management. She is Editor-in-Chief of JSR, the 8th highest-cited business journal, Associate Editor of IJRM, Information & Management, and Communications of the Association for Information Systems, and serves on the editorial boards of JAMS, Int’l J. of E-Commerce, J. of Strategic IS (JSIS), and Psychology & Marketing. She is conference chair of the 2022 Pacific Asia Conference on Information Systems (PACIS 2022), serves on the AMA (American Marketing Association) Service Special Interest Group board, was Chair of the INFORMS Service Science Section, was Vice President for Asia/Pacific of AIS (Association for Information Systems), program co-chair of the 2012 International Conference on Information Systems (ICIS 2012) and conference co-chair of the 2013 INFORMS/AMA Frontiers in Service Conference. She served as Director of the Management Research program at the Ministry of Science and Technology, Taiwan, which is the major source of funding of basic research in the fields of information systems, marketing, and management science.
  • Wed 5, 6
  • Please contact the department office for more information

  • Type 2

  • 15 Student Quota

    NTU 15

  • No Specialization Program

  • English
  • Core Capabilities and Curriculum Planning
  • Notes

    Not open in course pre-registration period。 The course is conducted in English。

  • Limits on Course Adding / Dropping
    • Restriction: MA students and beyond

  • NTU Enrollment Status

    Enrolled
    0/15
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    The course mainly includes reading discussion, new idea exploration, and critical evaluation of the existing studies on artificial intelligence.
  • Course Objective
    The purpose of this course is to have in-depth interactive discussion with students about the most recent studies on artificial intelligence, from which developing students with the capabilities to explore and develop new ideas, and to critically evaluate new ideas about artificial intelligence.
  • Course Requirement
  • Expected weekly study hours before and/or after class
  • Office Hour
  • Designated Reading
  • References
    1. Huang, Ming-Hui and Roland T. Rust (2023), "Feeling AI for Customer Care," working paper. 2. Huang, Ming-Hui and Roland T. Rust (2018), “Artificial Intelligence in Service,” Journal of Service Research, 21(2), 155-172 3. Huang, Ming-Hui, Roland T. Rust, and Vojislav Maksimovic (2019), “The Feeling Economy: Managing in the Next Generation of AI,” California Management Review, 64(4), 43-65.
  • Grading
    1. NTU has not set an upper limit on the percentage of A+ grades.
    2. NTU uses a letter grade system for assessment. The grade percentage ranges and the single-subject grade conversion table in the NATIONAL TAIWAN UNIVERSITY Regulations Governing Academic Grading are for reference only. Instructors may adjust the percentage ranges according to the grade definitions. For more information, see the Assessment for Learning Section
  • Adjustment methods for students
  • Make-up Class Information
  • Course Schedule