Technology and Operations Management 2023 Summer (WBS)
Technology and Operations Management (2023 Summer)
Syllabus
As of June 5th, 2023
Note: This syllabus may be updated and revised at a later date.
Instructor: Kanetaka M. Maki, Ph.D. (kanetaka@kanetaka-maki.org)
Teaching Assistant: Nancy Gao and Miwako Nishida
Semester & Class Time: Spring Quarter – Mondays 3rd (13:10-14:50) and 4th (15:05-16:45) Periods
Classroom: 11-902 (in-class only)
1. Course Description
Technology and Operations Management (TOM) covers two different but interrelated topics: Technology Management and Operations. TOM is a field originally developed at Harvard Business School. The original concept of TOM was started from Operations, specifically focusing on the manufacturing and development of physical products. However, as the world of operations research has changed, the course expands to new issues in information technology, supply chains, service industries, etc.
Currently, TOM is the course that provides the student with competencies in the field of technology management for product design, manufacturing, and innovation.
The course will provide students with an introduction to the basics of technology management and various new topics related to innovation management. The course will utilize lectures, case discussions, assignments, and guest speakers from the industry. Students will learn basic frameworks in this TOM field, and you will utilize these frameworks using case studies.
The course is aimed at three types of audiences:
- those who are interested in the technology business.
- those who are interested in the process/methods of innovation.
- those who are interested in the operations of manufacturing/service business
- those who are willing to expand their perspectives.
We will cover many types of technology in this class. However, a STEM background is not required for this course.
2. Course Objective
- To provide you with the framework to analyze technology-based businesses.
- To provide the basic framework for analyzing the operation
- To provide you with the frameworks and methods to conduct innovation.
3. Preparation and Assignments
Each student is expected to have completed all readings, and assignments for each class before the class starts (approximately 1.5 hours for every week).
4. Class Schedule
The schedule may be updated and revised at a later date.
Week 01-1 (6/6 3rd): Introduction | |||||||
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Week 01-2 (6/6 4th): Design Thinking Workshop (Mindset) | |||||||
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Week 02-1 (6/13 3rd): Design Thinking Workshop (Skillset) |
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Week 02-2 (6/13 4th): Design Thinking in the Firm | |||||||
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Week 03-1 (6/20 3rd): Business Experiments | |||||||
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Week 04-1 (6/27 3rd): Service Innovation and Operations | |||||||
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Week 05-1 (7/4 3rd): AI and Medical Applications | |||||||
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Week 05-2 (7/4 4th): Guest Speaker (Dr. Anjum Gupta) | |||||||
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Week 06-1 (7/11 3rd): Toyota Production System | |||||||
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Week 06-2 (7/11 4th): Guest Speaker (Prof. Shunichi Ohmori) | |||||||
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Week 07-1 (7/18 or 7/25 3rd) Evidence-Based Decision Making and Ethics | |||||||
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5. Classroom Procedure
- The course meets 7 times for 200 minutes each time. Class sessions will begin and end on time. Please be punctual so that you do not miss the initial thrust of the discussions or disturb others. Keep in mind class participation is part of your grade.
- Each student is expected to have completed all readings, and assignments for each class before the class starts. Each student should be prepared and expect to participate in classroom discussions.
- Many of the sessions of this class will follow the discussion format. This allows you to apply theories, concepts, and analytical devices discussed in class or in the reading materials, or from other relevant current events or news sources. The direction and quality of the discussion are the collective responsibility of the class, not the sole responsibility of the instructor. Class participation will be graded on your readiness, willingness, and the quality of your comments and their contribution to the discussion.
- I expect each student to be prepared at all times to comment on any class session. To reinforce this expectation, I will randomly cold-call students during the ensuing discussion, both those who raise their hands and those who do not.
6. Textbooks
- Required
- A carefully selected list of readings is provided. We will provide you with all printed handouts.
- Reference
- Strategic Management of Technology and Innovation 5th Edition, Robert Burgelman et al., McGraw-Hill Education
- Managing Business Process Flows: Principles of Operations Management 3rd Edition, Ravi Anupindi et al., Prentice Hall
7. Grading
Class Attendance (Online attendance would not receive the point. Being late for the class will not receive the full point). | 30 % |
Class Contribution to the Discussion (Quantity and Quality) | 30 % |
Quality of the takeaway after the class | 30 % |
Small assignments in the class | 10 % |
- Please check the scores and let TA know if there is any mistake. It is your responsibility to check the scores. If you did not claim by the end of the quarter, we take it as you agreed with the scores you received.
[Contributing to the Class Discussion]
The frequency (i.e., the quantity) of your interventions in class is not a key criterion for effective class contribution.
Some criteria used to evaluate class contribution are as follows:
- Is the participant deeply engaged in class? The use of laptops and electronic devices for non-class purposes can negatively affect class participation and the learning experience.
- Is the participant a good listener? Are the points made relevant to the discussion? Are they linked to the comments of others? Do the comments show evidence of the analysis of the case?
- Do comments clarify or build upon the important aspects of earlier comments and lead to a clearer understanding of the case?
Class Contribution = Quality of the comment / Air-time
8. Course Policies
- Academic Integrity
- The integrity of scholarship is essential for an academic community. As members of the Waseda Business School, we pledge ourselves to uphold the highest ethical standards. The University expects that both faculty and students will honor this principle and in so doing protect the validity of University intellectual work. For students, this means that all academic work will be done by the individual to whom it is assigned, without unauthorized aid of any kind.
- The Honor Code in This Course
- You can work with anyone on class assignments. I suggest that you work in study groups on homework assignments.
- Your class preparation and assignments must not benefit from class materials by students who took this course in prior years, or at other schools. Using course notes or PowerPoint slides you received from previous students of this class is a violation of the Honor Code.
- Equity, Diversity, and Inclusion
- Knowledge of equity, diversity, and inclusion is required of students in this class.
- Definitions of Terms (Source: https://www.findem.ai/knowledge-center/what-is-diversity-equity-inclusion-and-belonging)
- Equity gives each employee fair and equal access, opportunities, and advancements, regardless of their diverse background.
- Diversity refers to the demographics of your workplace, which includes ethnicity, gender, sexual orientation, age, military/veteran status, location, nationality, disability status, skills, and many other factors.
- Inclusion ensures everyone on the team is treated fairly and respectfully, despite differences.
- Belonging centers around the employee experience of feeling accepted in the workplace.
- No E-mail Policy
- We are using discord for course communication.
- No emails, please.
- Please use the discord channel for communication.
- Please ask TA for the logistics question. I often miss the message and TAs are more reliable.
9 AI Policy (adapted and revised from syllabus by Ethan Mollick)- I expect you to use AI (ChatGPT or Generative AI tools, at a minimum), in this class. Learning to use AI is an essential skill, and I will try to provide tutorials on how to use them. I am happy to help with these tools during office hours, etc.
- Be aware of the limits of ChatGTP:
- If you provide minimum effort prompts, you will get low-quality results. You will need to refine your prompts in order to get good outcomes. This will take work.
- AI is a tool, but one that you need to acknowledge using. Please include a paragraph at the end of any assignment that uses AI explaining what you used the AI for and what prompts you used to get the results. Failure to do so is in violation of academy integrity policies.
- Reference
- Guides to using AI: https://oneusefulthing.substack.com/p/the-practical-guide-to-using-ai-to
- Writing with ChatGPT: https://oneusefulthing.substack.com/p/how-to-use-chatgpt-to-boost-your
- Generating Ideas with ChatGPT: https://oneusefulthing.substack.com/p/a-prosthesis-for-imagination-using
10. Notes
- If you have any questions regarding the class, please ask the TA first.
- Kanetaka M. Maki, Ph.D. Official Web Page: https://www.kanetaka-maki.org/