Academic Profile : Faculty

Boh Wai Fongv3.jpg picture
Prof Boh Wai Fong
Vice President (Lifelong Learning & Alumni Engagement)
President's Chair in Information Systems
Professor, College of Business (Nanyang Business School) - Division of Information Technology & Operations Management
Co-Director for NTU Centre in Computational Technologies for Finance (CCTF), College of Engineering
Director, Information Management Research Centre (IMARC)
External Links
 
Wai Fong Boh is President’s Chair and Professor of Information Systems at Nanyang Technological University (NTU) in Singapore. She is currently the Deputy Dean of Nanyang Business School (NBS), Director of Information Management Research Centre at NBS, and she serves as co-Director for both Singapore Agri-Food Innovation Lab (SAIL @ NTU) and NTU Centre in Computational Technologies for Finance (CCTF). She received her PhD from the Tepper School of Business at the Carnegie Mellon University.

Professor Boh is an established researcher in the area of knowledge management and knowledge sharing. She also conducts research in the areas of innovation management and entrepreneurship. She has published in a number of top IS and management journals, including Management Science, MIS Quarterly, Academy of Management Journal, Strategic Management Journal, Organization Science, Journal of Management Information Systems, Journal of Association Information Systems, OBHDP, Research Policy, and Information & Organization. Throughout her career, Professor Boh won several research awards including an award for the Top Five IS Publications of the Year 2007, the best Professor in Information Technology 2012 (awarded by CMO Council) and NBS Research Excellence Award for ITOM division in 2007, 2009 and 2016 respectively. She has also secured research grants amounting to USD1.8 million, as a Principle Investigator.
She is currently Senior Editor of MIS Quarterly, and has been previously AE for Management Science and ISR. Further, she is currently on or had been previously on the editorial board of multiple journals, including Journal of Management Information Systems, Organization Science, Journal of Strategic Information Systems and Information & Organization. Prof Boh has also served as Program Co-Chair for ICIS 2019, and served as Doctoral Consortium Co-Chair for PACIS 2018 and 2013.

Professor Boh is a seasoned and versatile instructor who teaches at both undergraduate and graduate levels. She has also taught at the executive level running many executive teaching seminars and workshops. Professor Boh is also sought after by private organizations as well as government agencies to conduct training programs.
I work in 3 main streams of research: Knowledge and information management, Innovation Management & Entrepreneurship, and Blockchain

Knowledge management, information processing and knowledge sharing: In examining the topic of knowledge management, information processing and knowledge sharing, I do not restrict my study to the use of IT in facilitating knowledge management. Rather, my perspectives are highly influenced by my work published in Information & Organization (Boh 2017, Information & Organization), which states that a firm needs to use a portfolio of knowledge sharing mechanisms to effectively facilitate knowledge sharing within the firm. Hence, I focus on understanding how individuals share knowledge, and examine what influences the effectiveness of individuals’ knowledge sharing, and in different contexts. As a result, my work straddles both IS and management, as I draw on behavioral theories. This work has appeared in top IS and management journals such as the Management Science, Academy of Management Journal, Organization Science, and Organizational Behavior and Human Decision Processes.

In my current stream of work in this area, I apply big data and analytical tools, and integrate them with behavioral theories to gain a more in-depth understanding of knowledge sharing and information transfer in different contexts. For example, I apply text mining and text analysis to identify different types of social exchanges Taobao sellers engage in via different types of communication in online forums, to understand how individuals’ social exchanges on Taobao affect sellers’ sales performance on the e-commerce platform. These current projects aim to leverage the advantage of such data, to combine the power of big data analytics (combining recent advances in machine learning and data analytics) with the rich theories in the area of information sharing and social networks.

Innovation Management and Entrepreneurship. In this research, I examine innovation in large corporations and in start-ups. Working with a network of collaborators, this stream of work aims to provide a thorough understanding of the management of innovation both in large corporations and in start-ups. For example, working with 3M and a large local organization, I investigated how the profile of individuals expertise (whether they are generalists with broad expertise, specialists with deep expertise, or T-shaped experts with both broad and deep expertise), as well as how their social network positions influence the innovativeness of individuals (Research Policy 2014, JMS 2014). Extending this work, I am examining different aspects of innovation, both in large and small companies. For example, I examine how the breadth of experience of different types of investors influence external cooperations and innovation performance amongst listed companies in Taiwan, how managers’ power and resource allocations in large conglomerates influence their resource allocations for innovation, and how startups and individuals make use of crowd funding to support innovation.

Leveraging on my interest and knowledge of this research stream, I have obtained two large grants (amounting to almost a million SGD each) from the National Research Foundation in Singapore and the Social Science Research Council. One grant focused on studying innovation in start-ups and small and medium enterprises (SMEs) in Singapore. Another grant focused on examining whether individuals can be effectively trained on opportunities identification.

Blockchain. More recently, I have been studying blockchain through a number of studies examining: (1) disclosure quality of cryptocurrency blockchain projects; (2) how motivations for blockchain forks affect their survival, examining the perspectives of multiple stakeholders - miners, users, and developers; (3) how changes in the platform affect NFT creators and buyers; and (4) challenges related enterprise blockchain implementations, such as traceability solutions, and solutions involving voluntary carbon credits and renewable energy credits.
 
  • Algorand Centre of Excellence at NTU (ACE@NTU) [under NTU Centre in Computational Technologies for Finance]
  • From Principle to Practice: Unraveling the Effect of Ethical AI Governance on the Growth of AI Startups
  • Monetary Academic Resources
  • Skillsets Mapping for Future-Ready Seniors: Comparative Investigations within Air Transport Sector
  • The effects of cognitive load on entrepreneurial trust: a neurobehavioral approach
  • Towards a Data-Driven, Explainable Framework for AI Start-ups’ Due Diligence