智能產業與科技創新

Course Design: This is an advanced course of innovation management for the intelligent industry. The rise and proliferation of math-centric Artificial Intelligence (AI) and other relating technologies has forever changed the business landscape globally. While the intelligent industry offers an unprecedented potential for growths, technology innovation contributes to a large portion of world economy in the 21st century. Strategically, not only will the intelligent industry be integrated into the existing markets, it also creates new opportunities and diversity for industry developments. In this course, you will first learn the concepts of “Locus of industrial leadership”, and the critical factors behind the leadership. Furthermore, we will introduce to you a number of analytics models for the analysis of various case studies of the intelligent industries. We will also address the emergence of the intelligent industries, and the drivers and levers behind the intelligentization. A number of modern cases of technology innovation will be discussed in details. The emergence of AI and 5G communications has created a new landscape in business developments. The epic rise of Metaverse in the late 2021s signifies another wave of internet churning and industrial restructuring, software and hardware alike. One the hardware side, flexible FPGA and GPU/CPU/DPU are gaining momenta for competitive struggles, while edge computing, cryptograph-based blockchain and cybersecurity, new algorithmic manipulations are at the central stage for developments. Furthermore, proliferation of intelligent technology has deeply penetrated into nearly all industrial sectors, including the unmanned electric vehicles and merchant markets, and consumerism has become the main theme in business developments. In addition, global competition for quantum supremacy has been on the agenda for many advanced countries, not only for business reasons but also for national security. This course is designed to teach you how to analyze global as well as local perspectives on intelligent industries. Critical concepts encompass key success factors, industrial clustering, development trends, innovation requirements, and strategic developments of core competencies and modelling. The strategic industries include the following sectors, namely, 1. Introduction: Fundamentals: Towards Intelligent Society; VUCA Environment, S&T Nature in MOT; Network Innovation & Knowledge Services 2. S&T Policy and National Systems of Innovation 3. Blockchain Basics and Relating Applications: Basics & Modelling, Blockchain + Combos & Intelligentization; Metaverse; Public Sectors & covid-19, DCEP; Blockchain in Technology Intermediation; Applications in the Medical, Energy, and Agricultural Sectors 4. IC Industry: Global IC Industry & Restructuring; IC Equipment; Intelligent & Medical IC 5. Quantum Technology 6. Miscellaneous: 5G Communications; AI, Chemical Industry; eV & Batteries, Precision medicine and CRISPR, medical instrumentation Background: While the ICT technology has played a pivotal role in expediting the speed of globalization, the advent of intelligent architecture forever has changed the global business landscape, in which information-driven innovation has become the prime source of competitive advantage, and social transformation is underway as well. The future is not what is used to be: The proliferation of technology and the advent of Industry 4.0 have drastically changed the global structures of the major industries, within which transmission of information and data via the web3.0 based networks has profoundly altered the way businesses operate. This process involves collection, transmission, and interpretation of data and intelligent information, virtually transforming all businesses into service-oriented operations. And this transformation is particularly evident in the manufacturing sector, in which information is at the central heart that drives business processes and models, leading the vertical dis-integration and offshoring in many industrial sectors in the global supply chains. New industrial leadership is required, entailing collaborative developments of key technology areas that will boost sustainable growth via new the intelligent industry, new business models, new geopolitical strategy and policy, restructuring global leadership, effective public policy (fiscal, financial, industrial, regulatory, global macro-economic conditions, etc.). An epical shift in industrial competition is being emerged, as the business models have been adopted by world leading firms. The driving forces behind this shift arise from development of intelligent technology, allowing various types of management systems integration, and thus developments of the intelligent industry. Among other things, there are many major factors forever change the business operations, namely, breakdown of global product standards and supply chain, emerging regionalization in lieu of globalization, the rise of emerging markets, strategic changes in the IP management, a shift of manufacturing-led Industry development to service-oriented operation. Not only do these factors render Taiwanese’s traditional OEM strategy obsolete, they have also created a situation where information-driven strategic innovation becomes an indispensable part of all businesses. This, in turns, requires firms to develop a timely database and relating technology of business intelligence, and thorough, innovative, and comprehensive modeling techniques as a basis for their innovation strategies. Course Details: There are four pillars for in technology management for the intelligent industry, namely, strategic manipulations and innovation, future trends in global markets, implementation scheme, and organization structures to carry out the development. As such, this course is designed to teach students selected intelligent industries, and associated technology innovation. The intelligent industry includes the advanced materials, future development and restructuring of the ICT industry, the emergence of blockchain in the animated industry, artificial intelligence and its key applications, the new energy and green industry, quantum technology and its future development, precision medicine and gene-editing technologies, medical instrumentation. Each technology possesses its own individual dynamics in its life cycle, its capital needs, and time required to mature. As technologies evolve, they make varying demands in terms of capital and organizational strategies, and they poss different potential for profits. The ease with which a technology is commercialized varies with the maturity of its underlying science, which determines speed of technology evolution, and shapes organizational structure and financial pattern, e.g., computer industry has a drastically different organizational structure and profitability than the drug industry. There are many strategic issues in managing technology for the intelligent industry. Conventional measures of national capabilities of science are based on the number of patents, R&D spending, the accumulation of Nobel prizes, the number of post graduates, and the sheer size diversity of “pyramids of invention”. In the era of knowledge economy, will the abandonment of basic R&D suit the needs? Will the education and retraining, managing trade, and building a 21st century technology infrastructure suffices the development? The critical issues in technology and innovation management for the intelligent industry are, 1. What is management of technology, and what are the relationships between science and technology? 2. What is the effect of government regulation and government targeting of resources? 3. How has the technology economy changed, and what effect has that change on business and the economy? 4. What are the constituent elements of the technology economy, how do they interact, and how do they shape the commercial structures that transmit science and applied technologies to the quotidian world? Technology innovation is an integral part of innovation management for the intelligent industries. It is an analysis at the meso-level, which yields industry specific information. Technology management has its importance in the strategic and competitive contexts, while Innovation analysis provides the very needed information. The key concepts are: 1. Industry Analysis, Leadership in Technology Management 2. Industrial Structure and Competition in the intelligent industries 3. NIS Analytics Models, Value Chain and SWOT Analysis of Industry 4. Portfolio And Analysis and Industrial Innovation Requirement 5. Dynamic Interactions Among Science, Technology, Market, and Policy 6. New Age of R&D Management and network innovation 7. Policy Impacts on Industry Development and Industrial Revitalization

Basic Economics and Marketing Management

Class Attendance 30% Study Case Presentation 40% Final Individual Written Report 30%

1. J. M. Utterback, “Mastering the dynamics of Innovation”, HBS (1999) 2. “Sources of industrial leadership”, eds. By M. C. Mowery and R. R. Nelson, Cambridge (1999), Boston 1. “Healthcare Disrupted”, J. Elton and A. O’Riordna, Wiley, NY, NY (2016) 赵国栋、 2. 徐作聖、鄭智仁、陳仁帥,產業分析, 3rd Eds.,,全華科技,臺北(2009) 3. 徐作聖、王仁聖、彭志強,新興能源產業發展政策,華泰,臺北 (2010) 4. 徐作聖、鍾沛翰、邱瑞淙, 綠能產業及應用 ,交大出版社 (2011) 5. 徐作聖、王仁聖、林蒧均,產業分析與創新,全華科技,臺北(2015) 6. 趙國棟、易歡歡、徐遠重,元宇宙,中譯出版社,北京(2021) 7. 邢杰等,元宇宙通證,中譯出版社,北京(2021 8. R. Teitelman, Profits of science, Basic Cases (1994), NY, NY 9. M. Iansiti and K. RF. Lakhani, “Competing in the age of AI”, HBS, Boston (2020) 10. F. Schar and A. Berentsen, “Bitcoin, Blockchain, and Crytoassets”, MIT Press, Boston (2020) 11. 湯道生,《產業區塊鏈》,中信出版集團,北京(2020) 12. “AI, Super-Powers, China, Silicon Valley, and New World Order”, Kai-Fu Lee, Houghton Mifflin Harcourt, N. Y. (2018) 13. Kai-Fu Lee Qiufan Chen, AI 2041, Crownpublishing, NY (2021) 14. M. Frank, P. Roehrig, and B. Pring, “What to do when Machines do Everything, Wiley, NY (2017) 15. H. Abelson, et. Al, “Blown to Bits”, 2nd Edition, Pearson, SF(2021) 16. Edited by M. Ragnedda and G. Destefanis, “Blockchain and Web 3.0, Routledge, NY(2020) 17. I, Cronin and R. Scoble, “The Infinite Retina”, Packt>, Birminham, UK(2020)

聯絡方式

joseph.z.shyu@gmail.com