Prof. SIAU Keng Leng (蕭慶龍)

Visiting address
Visiting address
Phone: +852 34429735

Author IDs

Willing to take PhD students: yes


Professor Siau is the Head of the Department of Information Systems and Chair Professor of Information Systems at the City University of Hong Kong. Professor Siau received his Ph.D. in Business Administration from the University of British Columbia (Canada) in 1996. His M.S. and B.S. (honors) degrees are in Computer and Information Sciences from the National University of Singapore.

Prior to joining CityU, he was Head ("Dean" equivalent) of the AACSB-Accredited Business Programs at the Missouri University of Science and Technology from 2012-2021. Before joining the Missouri University of Science and Technology in June 2012, he was Edwin J. Faulkner Chair Professor and Full Professor of Management at the University of Nebraska-Lincoln (UNL), which is an R1 university. He was also the Director of the UNL-IBM Global Innovation Hub. Professor Siau is Editor-in-Chief of the Journal of Database Management (SCI and ABDC's A journal). He has served as the North America Regional Editor of the Requirements Engineering journal (2010-2016). He has also served as the Vice President of Education for the Association for Information Systems (AIS) from July 2011 to June 2014. He is an AIS Distinguished Member–Cum Laude.

Professor Siau has more than 300 academic publications. His research publications have appeared in journals such as MIS Quarterly, Journal of the Association for Information Systems, Journal of Strategic Information Systems, Decision Support Systems, Information Systems Journal, Data and Knowledge Engineering, IEEE Transactions on Information Systems in Biomedicine, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Professional Communication, IEEE Transactions on Education, and others. According to Google Scholar, he has a citation count of more than 20,000. His h-index and i10-index, according to Google Scholar, are 72 and 180 respectively. Professor Siau is consistently ranked as one of the top information systems researchers in the world based on his h-index and productivity rate. In 2006, he is ranked as one of the top ten e-commerce researchers in the world (Arithmetic Rank of 7, Geometric Rank of 3). In 2006, the citation count for his paper "Building Customer Trust in Mobile Commerce" is ranked in the top 1% in the field as reported by Essential Science Indicators. He is also on the 2020, 2021, and 2022 Stanford University's lists of top 2% most-cited scientists in the world (ranked in the top 1%) and ranked as one of the top computer scientists in the US and the world ( (ranked around 1500 in the world). He has been involved in projects totaling more than US $6 million and his research has been funded by NSF, CNSF, IBM, and other business organizations.


Professor Siau has received numerous teaching, research, service, and leadership awards. He received the University of Nebraska-Lincoln Distinguished Teaching Award and the College of Business Administration Distinguished Teaching Award in 2001. He was awarded the Organizational Leadership Award in 2000 and the Outstanding Leader Award in 2004 by the Information Resources Management Association. He received the University of Nebraska-Lincoln College of Business Administration Research Award in 2005, and the Faculty External Recognition Award and Outstanding Contributions to Graduate Studies Award from the Missouri University of Science and Technology in 2020. He is a recipient of the prestigious International Federation for Information Processing (IFIP) Outstanding Service Award in 2006, IBM Faculty Awards in 2006 and 2008, IBM Faculty Innovation Award in 2010, AIS Sandra Slaughter Service Award in 2019, AIS Award for Outstanding Contribution to IS Education in 2019, and AIS Fellow Award in 2022.


Research Interests:

Digital Transformation and Digital Society

Business Analytics and Data Science

Technological Innovation and Entrepreneurship

Smart City, Smart Health, and FinTech

AI, ChatGPT, Robotics, and Machine Learning: Future of Work and Future of Humanity

Human-Centered AI, Human-AI Collaboration, Web3, Metaverse



  • Z665 Library Science. Information Science - Digital Transformation, Digital Society, Business Analytics, Data Science, Technological Innovation, Entrepreneurship, Smart City, Smart Health, FinTech, Artificial Intelligence, Machine Learning, Future of Work, Future of Humanity, Human-Centered AI, Human-AI Interaction, Web3, Metaverse