Keynote Speakers/特邀报告

Prof. L. Roger Yin, University of Wisconsin-Whitewater, USA

Dr. L. Roger Yin is a Professor of Information Technology in the College of Business and Economics at University of Wisconsin-Whitewater, USA. Dr. Yin is the recipient of Hermsen Teaching Award of 2015-16 of the Business School at UW-Whitewater. Roger grew up in Taipei City and earned a B.E. in Environmental Engineering from National Chung-Hsin University in Taiwan. He holds both an M.S. and Ph.D. in Instructional Systems Technology from Indiana University, Bloomington, USA. He has earned industry certifications including CPHIMS, CISA, CISM, CGEIT, GSNA, and ITIL-F. 

Dr. Yin possesses multidisciplinary educational and professional experiences in Engineering, Education, Cognitive Science, Business, Healthcare, and Information Technology. Roger is passionate about how people, technology, and culture can jointly work toward or against human civilization and sociotechnical interactions in the increasingly complex world. Dr. Yin presently serves as Director of Academic Affairs on the Board of Directors of Wisconsin Dairyland Chapter of Healthcare Information and Management Systems Society (HIMSS). Dr. Yin was a Visiting Teaching Professor in the Faculty of Medicine at the Chinese University of Hong Kong in the summers of 2000 and 2001, assisted with an online training program for medical students. Roger has been actively involved in the IT space for more than 25 years including work as Application Developer, Manager, Administrator, Consultant, Researcher, and Educator. Dr. Yin has published more than 40 refereed journal articles and presented more than 50 papers in national and international conference on and related to Information Technology. From 2006 to 2009, Dr. Yin was elected and appointed as President of Organizational Systems Research Association, also a SIG affiliated with Association for Information Systems (AIS). Roger’s teaching and research interests are interdisciplinary that include cybersecurity management, IT governance & risk management, healthcare IT, e-learning systems for professional training and development, and Blockchain and Smart Technologies. When he is not working on academic and consulting functions, Roger is an avid music lover and enjoys producing and recording live concerts of classical, jazz, folk, and blues performances.

Speech Title: Disrupted by Amazon, Again: Lessons Learned through the Lenses of Disruptive Innovation and Competitive Advantage

Abstract:, Inc., has been a leading global technology company in e-commerce, cloud computing, and artificial intelligence. In April 2019, Amazon has put a stunning strategy in action by offering its Prime Members a one-day delivery benefit in many parts of the U.S. This move makes wave to affect not only brick-and-mortar stores, but also those “brick-and-click” retailers. This presentation will examine Amazon’s impact of repeated disruptions toward e-commerce as well as logistics industries through the lenses of Christensen’s Disruptive Innovation and Porter’s Competitive Advantage. Lessons learned for future e-commerce business models and operational best practices will be discussed.


Prof. Ruey-Jer (Bryan) Jean, National Chengchi University, Taiwan

Ruey-Jer ‘‘Bryan’’ Jean received his PhD degree in business administration from the University of Manchester, UK in 2008. He is Professor of International Business at the Department of International Business, National Chengchi University, Taipei. His research focuses on inter- organizational relationship management and international new ventures in digital and data-rich environments, with a focus on emerging markets. Dr. Jean ranked 1st in Taiwan and 8th in Asia in terms of research productivity and influence by Asian Marketing Journal. Dr. Jean has published more than 30 academic journal articles in referred journals including Journal of International Business Studies, Decision Sciences, Management International Review, International Marketing Review, Journal of International Marketing, International Business Review, Journal of Product Innovation Management, Information & Management and other journals.

Speech Title: Internet and SMEs’ Internationalization: The Role of Platform and Website
Abstract: Despite the growing trend among small and medium enterprises (SMEs) of utilizing the Internet for internationalization, academic research in this area remains sparse. This paper presents and empirically evaluates a theoretical framework of the effect of Internet capabilities, comprising platform and web capabilities, on export marketing capabilities and export performance for SMEs in emerging markets. Furthermore, we examine the contingencies in this relationship. Based on a sample of Chinese SMEs, our empirical findings indicate that platform and web capabilities are positively related to export marketing capabilities and export performance. Moreover, product complexity and competitive intensity moderate the effects of platform and web capabilities on export marketing capabilities. Additionally, we discuss the theoretical and managerial implications.

Prof. Kun-Huang Huarng, National Taipei University of Business, Taiwan 

Prof. Kun-Huang Huarng received Ph.D. in Texas A&M University, Texas, U.S.A. (1993). He is Professor of Product Innovation & Entrepreneurship and Vice President of National Taipei University of Business, Taiwan; Associate Editor in Journal of Innovation & Knowledge; Editor-in-Chief in International Journal of Business Economics; Associate Editor in Journal of Business Research; Founder Governor of Global Innovation and Knowledge Academy (GIKA). Also, he is Life Fellow of International Society of Management Engineers and received Outstanding Service Award in the Literati Network 2008 Awards for Excellence, Emerald (2008).

Speech Title: A Comparative Study to Contrast the Qualitative and Quantitative Analysis

Abstract: Different research methods may generate various results on the same data. Hence, the choice of proper research methods is critical to research. Most social science studies tend to use the linear regression method to analyze data and to draw conclusions. This study intends to compare the empirical results from the same data set by a qualitative analysis method (fuzzy sets/Qualitative Comparative Analysis (fsQCA) and a quantitative method (the linear regression method). Based on the comparison, we can show the different characteristics of these two various analytic methods. We used the data from a study on Internet consumer behaviors. The linear regression method generates one equation to represent all the data while fsQCA generates multiple relationships. The linear regression method tends to average all the data while fsQCA tends to stand out multiple patterns with high consistency from the data. On the basis of the comparisons, the pros and cons of both methods are discussed. The discussions point out the advantages and limitations of both methods, shedding some light to the choice of research methods for social science studies.

Assoc. Prof. Chen-Huei Chou, College of Charleston, USA

Chen-Huei Chou received the B.S. in Information and Computer Engineering from Chung Yuan Christian University, Taiwan, the M.S. in Computer Science and Information Engineering from National Cheng Kung University, Taiwan, the M.B.A. from the University of Illinois at Chicago, Chicago, Illinois, USA, and the Ph.D. in Management Information Systems from the University of Wisconsin-Milwaukee, Wisconsin, USA. He is an Associate Professor of Information Management and Decision Sciences in the School of Business at the College of Charleston, SC, U.S.A. His research has been published in MIS journals and major conference proceedings, including MIS Quarterly, Journal of Association for Information Systems, Decision Support Systems, IEEE Transactions on Systems, Man, and Cybernetics, Computers in Human Behavior, Internet Research, and Journal of Information Systems and e-Business Management. His areas of interests include web design issues in disaster management, ontology development, Internet abuse in the workplace, text mining, data mining, knowledge management, and behavioral studies related to the use of IT.

Speech Title: Who is shopping at work? A modern way for Internet abuse detection

Abstract: As the use of the Internet in organizations continues to grow, so does Internet abuse in the workplace. Internet abuse activities by employees—such as online chatting, gaming, investing, shopping, illegal downloading, pornography, and cybersex—and online crimes are inflicting severe costs to organizations in terms of productivity losses, resource wasting, security risks, and legal liabilities. Organizations have started to fight back via Internet usage policies, management training, and monitoring. Internet filtering software products are finding an increasing number of adoptions in organizations. These products mainly rely on blacklists, whitelists, and keyword/profile matching. In this talk, I would like to share a text mining approach to Internet abuse detection. I have empirically compared a variety of term weighting, feature selection, and classification techniques for Internet abuse detection in the workplace of software programmers. The experimental results are very promising; they demonstrate that the text mining approach would effectively complement the existing Internet filtering techniques. In this speech, I would like to share my knowledge and experience in conducting text mining approach for detecting Internet abuse in the workplace.

Invited Speaker

Assoc. Prof. Weng-Kun Liu, Feng Chia University, Taiwan

Weng-Kun Liu is an associate professor of department of International business at Feng Chia University in Taiwan. My academic major is management administration which concentrates in the arena of international business management. I dedicate my major researches in the International Business Management, Leadership Behavior, Human Resource Management, Cross-border E-commerce, and Decision Making. Except academic research, I also devote the researches of Industry-Academy Cooperation to enhance the practical production output. Following are my professional certificate, academic experience, government program, and academic publication.

Speech Title: The Operation Model of Cross-border E-commerce
The borderless internet develops rapidly to promote the enterprise e-commerce that has transformed the operation of the enterprise into the cross-border e-commerce. Cross-border ecommerce refers to online trade between a business (retailer or brand) and a consumer (B2C), between two businesses, often brands or wholesalers (B2B), or between two private persons (C2C). Now the cross-border e-commerce has developed maturely and stably in Asia. However, it must be the way to develop the borderless trading model by the internet, and creates new business opportunities. This speech emphasizes on the cross-border e-commerce industries in Taiwan, China, and Southeast Asia. It discusses the development history of e-commerce, and analyzes the operation model with three flows- cash flow, logistics flow, and information flow. The future trends are that the highest consumption is in Asia Pacific area, because there are the huge demand market, the rapid growth, and the potential development. The successful cross-border e-commerce model brings out the product value of the company, and creates the economic benefits of the internet to explore new opportunities for international trade market.