ECOM7121A - Dynamic digital capabilities

Semester 1, 2022-23

Professor
Amy Shuen
Teaching assistant
Fung Anthony Lam
Syllabus This course covers the fundamental business and economic principles of dynamic digital capabilities as well as mobile platform innovation.  Business in today’s global and exponential world must adjust to the dramatic changes caused by emerging technologies such as AI, Blockchain, Cloud and Data as well as smart cities, ecosystems, on-demand platforms and crowdsourcing 2.0.  We provide a systematic framework, cases and hands-on experience in analyzing industries, cities and regions being transformed by digitalization, disruption, demonetization and dematerialization.  Managers, developers, engineers and graduate students are guided in the development of ABCD business models and dynamic digital capability-building.  Cases include multinational corporations, entrepreneurial startups, emerging unicorns and nonprofits worldwide.
Learning Outcomes
Course Learning Outcomes Relevant Programme Learning Outcome
CLO1. Understand the framework behind innovative and profitable Web 2.0 businesses cases and trends in US and Asia PLO. 5, 7, 12
CLO2. Learn web business model analysis - how to map, create and analyze profitability PLO. 7, 9
CLO3. Analyze and use social and mobile media strategies in light of their adaptability to specific workplace contexts PLO. 5, 7, 12
View Programme Learning Outcomes
Enrolment counselling
  • This course suits those entrepreneurial students who wish to learn from the best online and mobile business practices in the US and Asia on how to monetize and multiply network advantages in this era of sharing economy.
  • It emphasizes critical learning through peer interaction and class participation, so it is for your own benefit that you attend, and participate in all ten sessions and not be late.
  • If for any reason you cannot enrol in this course, you may want to try the other course which is also useful for learning about innovation: "ECOM6029 E-business transformation"
Topics covered
Course Content No. of Hours Course Learning Outcomes
1. Overview of Dynamic Digital Capabilities and Exponential Thinking 3.0 CLO1
2. Crowdsourcing and Crowdsensing Platforms 3.0 CLO1
3. Social Mobile Crowdfunding App Innovation Lab 3.0 CLO3
4. On-Demand Platforms and APIs 3.0 CLO3
5. Competing in the Age of AI 3.0 CLO2
6. Smart Cities, Big and Small Data, AI and the Internet of Things 3.0 CLO2
7. Blockchain, Cloud Computing, Data in Smart Cities 3.0 CLO1, CLO2, CLO3
8. AI Smart City Innovation Lab and Lab Report 3.0 CLO3
9. Smart Cities: Dream or Nightmare 3.0 CLO3
10. Review Session and Video Presentations 3.0 CLO1, CLO2, CLO3
 
Assessment
Description Type Weighting * Tentative Assessment Period /
Examination Period ^
Course Learning Outcomes
Assignments Continuous Assessment 100% - CLO1, CLO2, CLO3
* The weighting of coursework and examination marks is subject to approval
^ The exact examination date uses to be released when all enrolments are confirmed after add/drop period by the Examinations Office.  Students are obliged to follow the examination schedule.  Students should NOT enrol in the course if they are not certain that they will be in Hong Kong during the examination period.  Absent from examination may result in failure in the course. There is no supplementary examination for all MSc curriculums in the Faculty of Engineering.
Course materials

There is a set of required readings for this course, but there is no textbook. The readings will be listed along with the schedule.

Session dates
Date Time Venue Remark
Session 1 18 Sep 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 2 25 Sep 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 3 2 Oct 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 4 9 Oct 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 5 16 Oct 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 6 23 Oct 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 7 30 Oct 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 8 6 Nov 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 9 13 Nov 2022 (Sun) 9:30am - 12:30pm Online Zoom
Session 10 20 Nov 2022 (Sun) 9:30am - 12:30pm Online Zoom
Add/drop 1 September, 2022 - 25 September, 2022
Maximum class size 70
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