HAHN Jungpil
ProfessorVice Dean, Communications
Director, NUS Fintech Lab
Deputy Director (AI Governance), AI Singapore
Deputy Director, Centre for Technology, Robotics, Artificial Intelligence & the Law
- Ph.D. (Information & Decision Sciences, University of Minnesota, Minneapolis, Minnesota, USA, 2003)
- M.B.A. (Business Administration, Yonsei University, Seoul, Korea, 1998)
- B.B.A. (Business Administration, Yonsei University, Seoul, Korea, 1998)
Jungpil Hahn is a Professor in the Department of Information Systems and Analytics at the School of Computing at the National University of Singapore (NUS). He served as the Head of the Department of Information Systems and Analytics from July 2015 to June 2021. Prior to joining NUS, he was an Assistant Professor of Management at the Krannert School of Management at Purdue University in West Lafayette (IN) and a Visiting Assistant Professor of Information Systems at the Tepper School of Business at Carnegie Mellon University in Pittsburgh (PA). He has a Bachelor's and Master's degree in Business Administration from Yonsei University in Seoul, Korea and he earned his Ph.D. in Information and Decision Sciences from the Carlson School of Management at The University of Minnesota. Professor Hahn's research focuses on open innovation, organizational learning and knowledge management, software development processes, software project management and human-computer interaction. His research has been published in Management Science, MIS Quarterly, Information Systems Research, Organization Science, Entrepreneurship Theory and Practice, Journal of Management Information Systems, Information Systems Frontiers, International Journal of Business and Globalization, Theoretical Issues in Ergonomic Science, the ACM Transactions on Human-Computer Interaction and the Korean Management Science Review as well as in proceedings of major conferences such as the International Conference on Information Systems, the Annual Workshop on HCI Research in MIS, the International Conference on Electronic Commerce, the International Conference on Open Source Systems, the Hawaii International Conference on System Sciences and the ACM Conference on Human Factors in Computing Systems. His research has also been presented at major conferences such as the INFORMS Annual Meeting, the INFORMS Conference on Information Systems and Technology, the Annual Meeting of the Academy of Management, the Association of Consumer Research Pre-Conference on Consumer Behavior Online, the Workshop on Information Systems and Economics, the Workshop on Information Technology and Systems and the Annual Meeting of the Productions and Operations Management Society. Professor Hahn has also contributed essays to multiple edited volumes including Economics, Information Systems and Electronic Commerce: Empirical Advances (R. J. Kauffman and P. P. Tallon, eds.), IT-enabled Strategic Management: Increasing Returns for the Organization (B. A. Walters and A. Tang, eds.) and E-Business Management: Integration of Web Technologies with Business Models (M. Shaw, ed.). Professor Hahn has received numerous awards and accolades for his research, teaching and service. He is a recipient of three "Best Paper in Track" Awards for the Sharing Economy, Platforms and Crowd, Advances in Research Methods and the IS Development and Project Management Tracks at the International Conference on Information Systems (2021 and 2022), the "Best Paper Award" at the Workshop on Information Technology and Systems (WITS) in 2016, and the "Best 2013 Published Paper Award" from the Organizational Communication and Information Systems (OCIS) Division of the Academy of Management. He was nominated for the "Best Paper Award" at the International Conference on Electronic Commerce in 2007 and for the "Best Division Paper Award" at the Academy of Management in 2011 (Organization and Management Theory Division) and 2017 (Entrepreneurship Division). Professor Hahn was named "Krannert Distinguished Teacher" numerous times in the MBA program at the Krannert Graduate School of Management and received the Faculty Teaching Excellence Award (FTEA) at NUS School of Computing in 2014. Professor Hahn's service to the academic community was also recognized by being named "Outstanding Reviewer" for IEEE Internet Computing in 2002 and was awarded the "Best Reviewer Award" in 2009 by the INFORMS Information Systems Society for his outstanding service to Information Systems Research. He has served as Associate Editor of Information Systems Research and is currently a Senior Editor of MIS Quarterly.
RESEARCH INTERESTS
IT-enabled Open Innovation; Digital Innovation; Crowd-based Innovation; Crowdsourcing and Crowdfunding
Organizational Learning; Computational Organization Theory
Software Development Projects and Processes
Data Science
Privacy Enhancing Technologies
Blockchain; Algorithmic Governance
RESEARCH PROJECTS
Organizational Learning and Adaptation of Distributed Autonomous Organizations (DAOs) via Consensus-based Governance
This research explores blockchain-based Decentralized Autonomous Organizations (DAOs) as alternatives to traditional modes of organizational governance. It compares decision-making, task allocation, and organizational adaptability across DAOs, hierarchies and autonomies. Through theoretical and computational modeling, the study aims to develop design principles that enhance collective decision-making and task allocation in DAOs, providing valuable insights for industry applications.
Toward Cyber-Organizations: AI-enabled Organizational Decision-Making and Organizational Learning
Artificial intelligence (AI) is poised to transform organizational decision-making and talent cultivation processes, giving rise to what we term "cyber-organizations" where human and AI jointly work to enable computationally intensive operations and management. This project investigates the impact of AI at the individual and organizational levels, and from both short- and long-term perspectives.
Making the Crowd Wiser
Despite the great potential of the crowdsourcing model for innovation creation, many crowdsourcing projects fail. This project seeks to design theory-driven interventions for crowdsourcing platforms.
Distributed Autonomous Organizations (DAOs) as a Novel Organizational Form
Advances in blockchain technology have introduced novel models of organizational governance such as decentralized autonomous organizations (DAOs). This project studies the properties of digital consensus as a model of organizations. We also investigate the impact of various DAO design features (e.g., voting mechanisms) that might influence organizational performance.
Quantifying the Impact of Privacy Technologies (PETs) on Firms
Consumers' adoption of privacy enhancing technologies creates data analytics challenges to firms that rely on data to support their business models. This project seeks to develop conceptual and methodological frameworks to quantify the impact that such technologies will have on firms' analytics capabilities and business value.
Academic Integrity Post-COVID-19: Multimodal Online Assessment Cheating Detection
Cheating cases are on the rise in academia, especially during the shift to remote learning. Using a blend of user studies and machine learning (ML) with multimodal features, this project aims to develop a robust ML model for detecting and identifying cheating patterns in various online assessment contexts.
RESEARCH GROUPS
Garbage Can Lab
The Garbage Can Lab (https://garbcan.com/) conducts research focused on better understanding today's complex socio-technical world and developing solutions that create impact. Inspired by the Garbage Can Model of Organizational Choice (Cohen et al. 1972), our research group can best be described as an organized anarchy with problematic preferences, unclear technology and fluid participation.
- Data Science & Business Analytics, Digital Transformation, Platforms & Innovation, FinTech, Computational Social Science
TEACHING INNOVATIONS
SELECTED PUBLICATIONS
- Chesterman, S., Gao, Y., Hahn, J. and Sticher, V. (2024) “The Evolution of AI Governance,” IEEE Computer, 57(9), pp. 80-92.
- Wang, Z., Yang, L., Karamshetty, V. and Hahn, J. (2024) "Crowdlending Behaviors in the Aftermath of a Crisis: Evidence From a Natural Experiment," Production and Operations Management, 33(1), pp. 243-263.
- Müller-Bloch, C., Valbjørn Andersen, J., Spasovski, J. and Hahn, J. (2024) “Understanding Decentralization in Proof-of-Stake Blockchains: An Agent-Based Simulation Approach,” European Journal of Information Systems, 33(3), pp. 267-286.
- Wang, Z., Yang, L. and Hahn, J. (2023) “Winner Takes All? The ‘Blockbuster Effect’ in Crowdfunding Platforms,” Information Systems Research, 34(3), 935-960.
- Peng, J., Hahn, J. and Huang, K.-W. (2023) "Handling Missing Values in Information Systems Research: A Review of Methods and Assumptions," Information Systems Research, 34(1), 5-26.
- Ryu, S., Kim, K. and Hahn, J. (2022) “Crowdfunding Success Effects on Financing Outcomes for Startups: A Signaling Theory Perspective,” MIS Quarterly, vol. 47, no. 3, pp. 1271-1302.
- Hahn, J. and Lee, G. 2021 "The Complex Effects of Cross-Domain Knowledge on IS Development: A Simulation-Based Theory Development," MIS Quarterly, 45(4), pp. 2022-2054.
- Jiang, H., Wang, Z., Yang, L., Shen, J. and Hahn, J. 2021 "How Rewarding Are Your Rewards? A Value-Based View of Crowdfunding Rewards and Crowdfunding Performance," Entrepreneurship Theory and Practice,453, pp. 562-599.
- Yang, L., Wang, Z. and Hahn, J. 2020 "Scarcity Strategy in Crowdfunding: An Empirical Exploration of Reward Limits," Information Systems Research, 314, pp. 1107-1131.
- Kang, K., Hahn, J. and De, P. 2017 "Learning Effects of Domain, Technology, and Customer Knowledge in Information Systems Development: An Empirical Study," Information Systems Research, 284, pp. 797-811.
- Oh, W., Moon, J.Y., Hahn, J., and Kim, T. 2016 "Leader Influence on Sustained Participation in Online Collaborative Work Communities: A Simulation-based Approach," Information Systems Research, 272, pp. 383-402.
- Hahn, J. and Kim, J. 1999 "Why are Some Diagrams Easier to Work With?: Effects of Diagrammatic Representation on the Cognitive Integration Process of Systems Analysis and Design," ACM Transactions on Computer Human Interaction, 63, pp. 181-213.
- Kankanhalli, A., Hahn, J., Tan, S. and Gao, G. 2016 "[Guest Editorial] Big Data and Analytics in Healthcare: Introduction to the Special Issue,"Information Systems Frontiers, 182 Special Section on Big Data and Analytics in Healthcare, pp. 233-235.
- Zhang, C., Hahn, J. and De, P. 2013 "Continued Participation in Online Innovation Communities: Does Community Response Matter Equally for Everyone?" Information Systems Research, 244 pp. 1112-1130.
- Lehman, D.W. and Hahn, J. 2013 "Momentum and Organizational Risk Taking: Evidence from the National Football League," Management Science, 594, pp. 852-8680.
- Hong, S.J., Lui, C., Hahn, J., Moon, J. Y. and Kim, T.K. 2013 "How Old are You Really?: Cognitive Age in Technology Acceptance," Decision Support Systems, 56, pp. 122-130.
- Kim, J., Hahn, J. and Hahn, H. 2000 "How Can We Understand a System with So Many Diagrams: Cognitive Integration Processes in Diagrammatic Reasoning," Information Systems Research, 113, pp. 284-303.
- Lehman, D.W., Hahn, J., Ramajuman, R. and Alge, B. 2011 "Performance Periods and the Dynamics of the Performance-Risk Relationship,"Organization Science, 226, pp. 1613-1630.
- Han, K., Chang, Y.B., and Hahn, J. 2011 "IT Intensity, Competition, and Inter-industry IT Spillover," Journal of Management Information Systems, 281, pp. 117-147.
- Hahn, J. and Wang, T.-W. 2009 "Knowledge Management Systems and Organizational Knowledge Processing Challenges," Decision Support Systems, 474, pp. 332-342.
- Hahn, J., Moon, J.Y. and Zhang, C. 2008 "Emergence of New Project Teams from Open Source Software Developer Networks: Impact of Prior Collaboration Ties," Information Systems Research, 193, pp. 369-391.
AWARDS & HONOURS
Best Conference Paper Award (2nd Runner Up), Blockchain, DLT and Fintech Track, International Conference on Information Systems (ICIS), December 2023.
Best Conference Paper Award (Nominee), Cybersecurity and Privacy Track, International Conference on Information Systems (ICIS), December 2023.
AIS Distinguished Member, June 2022
Best Paper in Track Award (Sharing Economy, Platforms and Crowd Track), International Conference on Information Systems (ICIS), December 2021.
Best Completed Research Paper Award, International Conference on Information Systems (ICIS), December 2020.
Best Paper in Track Award (IS Development and Project Management Track), International Conference on Information Systems (ICIS), December 2020.
Best Paper in Track Award (Advances in Research Methods Track), International Conference on Information Systems (ICIS), December 2020.
Best Paper Award, Workshop on Information Technology and Systems (WITS), December 2016.
Faculty Teaching Excellence Award (FTEA), AY2013-14, School of Computing, National University of Singapore, 2014
Best 2013 Published Paper Award, OCIS Division, Academy of Management, August 2014
ISR Best Reviewer, INFORMS Information Systems Society and Information Systems Research, October 2009
MODULES TAUGHT
PHD ALUMNI PLACEMENTS
Adikari Appuhamilage Praneeth Shalinda Adikari
Lecturer
National University of Singapore
First Job Placement
Senior Lecturer, University of Moratuwa
Class of 2018
Assistant Professor
Georgia State University
First Job Placement
Assistant Professor, University of Arizona
Class of 2018
Assistant Professor
University of Colorado at Boulder
First Job Placement
Post-Doctoral Research Fellow, NUS School of Computing
Class of 2019
Assistant Professor
Central University of Finance and Economics
First Job Placement
Assistant Professor, Central University of Finance and Economics
Class of 2020
Director
Suntar International Group
First Job Placement
Director, Suntar International Group
Class of 2022
Chen Dawei
Post-doctoral Research Fellow
AI Singapore
First Job Placement
Post-doctoral Research Fellow, AI Singapore
Class of 2023