Бакалавриат
2025/2026
Инновации и технологии в Азии
Статус:
Курс по выбору (Управление бизнесом)
Где читается:
Высшая школа бизнеса
Когда читается:
4-й курс, 3 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Коробочкина Алёна Валерьевна
Язык:
английский
Кредиты:
4
Контактные часы:
40
Course Syllabus
Abstract
This course aims to provide students with an understanding of the dynamic landscape of technological innovation and modernization in East Asia, with a primary focus on China, Japan, and South Korea in the 21st century. The course explores how these nations have transformed into global leaders in fields such as telecommunications, robotics, artificial intelligence, and green technology. Students will analyze the unique interplay of state policy, corporate strategy, cultural factors, and historical context that drives technological development in each country. Through a combination of lectures, seminar discussions, and case studies, the course provides a comparative framework for understanding Asia's pivotal role in shaping the future of the global digital economy. Students will gain a critical understanding of the forces shaping technological advancement in Asia and will be able to articulate informed perspectives on its profound impact on regional dynamics and the ongoing reconfiguration of global power and competition.
The core evaluation for this course is a comprehensive Case Study Project. Students will choose a specific Asian company, a transformative technology, or a national policy initiative and conduct a thorough analysis.
Learning Objectives
- • Analyze models of technological development and National Innovation Systems (NIS) in Asia, differentiating concepts such as "catch-up development," public-private partnerships, and types of innovations using examples from specific countries (e.g., Japan, South Korea, China, Singapore, India).
- Evaluate a company's competitive position in the Asian market by conducting a comparative analysis of products, services, and business models against key competitors based on technology, functionality, price, and brand perception.
- Conduct a comprehensive analysis of technological trends and market requirements in Asia, identifying key areas (e.g., AI, biotech, FinTech) and systematizing information on specific standards, regulations, and cultural preferences.
- Develop and plan the implementation of optimized business processes (e.g., supply chain, customer experience, R&D) to leverage opportunities from digital transformation in Asia, defining areas of responsibility and practical steps.
- Formulate comprehensive innovation management recommendations, assessing their risks and opportunities for long-term sustainable development and balancing commercial objectives with social responsibility.
Expected Learning Outcomes
- Define core concepts (NIS, leapfrogging, chaebol/keiretsu) and explain their utility for comparative analysis.
- Apply the State-Corporate-Culture-History framework to a preliminary case study.
- Debate the efficacy of state-led vs. corporate-led innovation models.
- Describe the distinct characteristics and historical trajectories of the Japanese, Korean, and Chinese innovation models.
- Develop a sharp, analytical research question for a complex case study project.
- Contrast the responses of Asian tech giants (e.g., Huawei, Samsung, Sony) to global geopolitical pressures.
- Compare national strategies in AI, robotics, EVs, and semiconductors, identifying key drivers and players.
- Conduct a resilience audit of a business model, evaluating its technological, market, and geopolitical risks.
- Analyze a technological breakthrough to identify the catalytic role of public-private collaboration and policy.
- Explain how cultural preferences lead to the indigenization of global tech and the failure of Western platforms in Asia.
- Formulate a structured ethical analysis of a technology application using a clear framework.
- Synthesize course material to argue a position on the future convergence or divergence of Asia's tech models, supported by evidence.
- Analyze models of technological development and National Innovation Systems (NIS) in Asia, differentiating concepts such as "catch-up development," public-private partnerships, and types of innovations using examples from specific countries (e.g., Japan, South Korea, China, Singapore, India).
- Conduct a comprehensive analysis of technological trends and market requirements in Asia, identifying key areas (e.g., AI, biotech, FinTech) and systematizing information on specific standards, regulations, and cultural preferences.
- Formulate comprehensive innovation management recommendations, assessing their risks and opportunities for long-term sustainable development and balancing commercial objectives with social responsibility.
- Evaluate a company's competitive position in the Asian market by conducting a comparative analysis of products, services, and business models against key competitors based on technology, functionality, price, and brand perception and Presentation
- Students will be able to evaluate corporate innovation models and R&D strategies in Asia, comparing approaches such as open innovation, corporate laboratories, and cross-border R&D partnerships, and assess their managerial implications for international companies.
- Students will be able to analyse the structure and dynamics of Asian innovation ecosystems and venture capital markets, identifying opportunities and risks for collaboration with startups and designing partnership or investment strategies for international firms.
- Students will be able to develop evidence-based digital transformation strategies tailored to Asian markets, assessing organizational readiness, cultural factors, and managerial challenges in leading cross-cultural digital change.
Course Contents
- Block 1: Strategic Frameworks: Innovations, NIS, and Business Models in Asia
- Block 2: Industry Breakthroughs and Managerial Decisions
- Block 3: Operational Efficiency and Sustainable Development
- Block 4: Strategy Development
- Block 5: Managing Innovation in International Business
Assessment Elements
- 1. Class Attendance (10%)A student who is more than 10 minutes late for class is considered absent and the grade for the lecture participance and seminar work will not be counted.
- 2. Group Project (20%)Formatting and professional presentation standards: All submissions must adhere to the following formatting and professionalism guidelines. Failure to meet these standards may result in point deductions, as clarity, conciseness, and professional presentation are essential components of strategic communication in real-world business settings. Business Strategy Memo (1–2 pages): The memo must be strictly limited to 1–2 pages of main content (excluding optional appendices). Use a professional, readable font (e.g., Times New Roman 12 pt or Arial 11 pt) with 1.15–1.5 line spacing and standard margins (2.54 cm). Structure the memo using clear headings that follow the standard Business Strategy Memo format: Context, Problem/Opportunity, Options, Recommendation, and Next Steps. Avoid dense blocks of text; use bullet points, short paragraphs, and white space to enhance readability. Maintain a professional, executive-level tone: write as if addressing a CEO—concise, action-oriented, and free of academic jargon, slang, or passive constructions. Ensure flawless grammar, spelling, and punctuation. The memo should read as a polished, final deliverable—not a draft. Do not include decorative elements (images, logos, colours) unless directly relevant (e.g., a simple ROI calculation table). Appendices (if used) should be clearly labeled and referenced in the main text. Group Presentation (10–12 minutes) Slides must follow a consistent, clean, and professional design template (corporate or neutral style). Avoid excessive colours, animations, sound effects, or distracting transitions. Use minimal text per slide—no more than 6 lines of content. Slides should support spoken delivery, not replace it. All text must be easily readable (minimum 24 pt font for body text; larger for headings). Include a title slide with the project name, selected company, team members’ names, and date. Clearly indicate sources for data, images, or external references (e.g., small font at the bottom of the slide: “Source: McKinsey, 2023”). Visuals (charts, diagrams, process flows, or logos of technologies/companies) are encouraged—but only if they add clarity and insight. The presentation must strictly adhere to the time limit of 10–12 minutes. Teams that exceed or fall significantly short of this window will be penalized. All team members must participate in the delivery, with smooth transitions and clear role distribution. Rehearsal should be evident—there should be no confusion about who speaks next or what the key messages are. Responsible Use of Artificial Intelligence (AI) Students are permitted to use AI tools (including generative models for text, code, images, etc.) when completing assignments, unless the assignment explicitly prohibits the use of AI. Whenever AI is used in a permitted manner, the student must clearly disclose this fact by explicitly identifying the portions of the work generated with AI assistance and providing a description of how and for what purpose AI was employed (including the name of the model used, the nature of its contribution to the work, and its effectiveness). Undisclosed or unauthorized use of AI is considered a violation of academic integrity and the university’s internal regulations, resulting in a grade of “0” for the relevant assignment and may lead to disciplinary measures, up to and including expulsion. General Expectations All content must be original or properly attributed. Uncredited use of images, data, or text is unacceptable. Language must be professional English—avoid machine-translated phrasing, colloquialisms, or informal expressions. Both deliverables should reflect the same strategic narrative: the memo provides the written rationale; the presentation brings it to life visually and verbally.
- Tests (20%)Three tests (individual) to check the understanding of the theoretical material from Blocks 1-2, 3-4 and 5. Test 1 is conducted at the end of Lecture 4. Test 2 is conducted at the end of Lecture 7. Test 3 is conducted at the end of Lecture 12. Time limit for each test: 15 minutes.
- Case solution (20%)Analysis of 6 cases (e.g., "State vs. Corporation in Asia", "Western tech failures in Asia", "Resilience of an Asian business model") discussed in Seminars 1, 4, and 6. Solutions are developed in groups and presented in class.
- Exam (30%)The examination is administered as a written computer-based test using SEB and proctoring, with 90 minutes and 20 questions. The grade is based on the total points for 20 questions. Maximum score - 100 points.
Interim Assessment
- 2025/2026 3rd module0.1 * 1. Class Attendance (10%) + 0.2 * 2. Group Project (20%) + 0.2 * Case solution (20%) + 0.3 * Exam (30%) + 0.2 * Tests (20%)
Bibliography
Recommended Core Bibliography
- Alibaba : история мирового восхождения от первого лица, Кларк, Д., 2021
- Capitalism with Chinese characteristics : entrepreneurship and the state, Huang, Y., 2009
- National systems of innovation : toward a theory of innovation and interactive learning, , 2010
- Paper tigers, hidden dragons : firms and the political economy of China's technological development, Fuller, D. B., 2016
- Schumpeterian analysis of economic catch-up : knowledge, path-creation, and the middle-income trap, Lee, K., 2013
- The business model navigator : the strategies behind the most successful companies, Gassmann, O., 2020
- The great convergence : information technology and the new globalization, Baldwin, R., 2016
Recommended Additional Bibliography
- Alibaba и умный бизнес будущего : как оцифровка бизнес-процессов изменила взгляд на стратегию, Цзэн, М., 2019
- Case study research and applications : design and methods, Yin, R. K., 2018
- Embedded autonomy : states and industrial transformation, Evans, P., 1995
- Kicking away the ladder : development strategy in historical perspective, Chang, H.- J., 2002
- The AI wave in defence innovation : assessing military artificial intelligence strategies, capabilities, and trajectories, , 2023
- The entrepreneurial state : debunking public vs. private sector myths, Mazzucato, M., 2018