Academic Profile : Faculty

Boh Wai Fongv3.jpg picture
Prof Boh Wai Fong
Deputy Dean, College of Business
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, IMARC, Information Management Research Centre (IMARC)
External Links
Dr Boh Wai Fong is Professor of Information Systems at the Nanyang Business School, Nanyang Technological University (NTU) in Singapore. She received her PhD from the Tepper School of Business at the Carnegie Mellon University. She is also Head of the Division of Information Technology and Operations Management and Director of the Information Management Research Center at NTU. Her research interests are in the areas of knowledge and innovation management and social media. She has published more than 20 articles in journals, including Management Science, MIS Quarterly, Academy of Management Journal, Organization Science, Journal of Management Information Systems, Journal of Association Information Systems, OBHDP, Research Policy, and Information & Organization. She has also won multiple awards, including an award for the Top Five IS Publications of the Year 2007, the 2009 Management Science Distinguished Service Award for Reviewers, the 2005 Academy of Management Best Dissertation Award for the Organizational Communication and Information Systems Division. She is currently a Senior Editor for MIS Quarterly, and is/has been on the editorial boards of Management Science, Information Systems Research, Organization Science, Journal of Management Information Systems, Information & Organization and Journal of Database Management. She has spoken in multiple industry conferences, and specializes in research and conducting training for entrepreneurs, managers and employees in areas related to innovation and entrepreneurship. Prof Boh is also frequently quoted and interviewed in the media, and has published several commentaries in local newspapers.

Professor Boh is a seasoned and versatile instructor who teaches at both undergraduate and graduate levels. She has spoken in multiple industry conferences, and specializes in research and conducting training for entrepreneurs, managers and employees in areas related to innovation and entrepreneurship. Professor Boh is also sought after by private organizations as well as government agencies to conduct training programs.
I work in 2 main streams of research: Knowledge and information management, and Innovation Management & Entrepreneurship.

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.
  • Algorand Centre of Excellence at NTU (ACE@NTU) [under NTU Centre in Computational Technologies for Finance]
  • Antecedents and Consequences of Forking in Blockchains: A Network-Based Approach
  • Assessing Cities: A SCoRE (Societal Comprehensive Reflective Estimate) Methodology
  • Monetary Academic Resources
  • The effects of cognitive load on entrepreneurial trust: a neurobehavioral approach
  • Towards a Data-Driven, Explainable Framework for AI Start-ups’ Due Diligence
  • Understanding Innovation Capability Development in Small and Medium Enterprises: Role of Design Thinking