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Mingfeng Lin

Professor

Dean’s Distinguished Term Professor; ITM Ph.D. Coordinator

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mingfeng.lin@scheller.gatech.edu

404-894-4921

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Academic Areas: IT Management

Functional Areas: Business Analytics

Office: 4253

Biography

Mingfeng Lin is Dean's Distinguished Term Professor, Professor of IT Management, and the ITM PhD Program Coordinator at the Scheller College of Business, Georgia Institute of Technology. He studies financial technologies (FinTech), Business aplications of AI including GenAI, Internet-enabled communities and markets, and labor markets. He has published in top business school journals such as Management Science, Information Systems Research, MIS Quarterly, and Journal of Financial and Quantitative Analysis. He is an Associate Editor at Management Science, and previously served as an Associate Editor for Information Systems Research from 2017 to 2023. His current research interests include:

Fintech, including debt-crowdfunding (peer-to-peer lending), equity-, reward- and donation-crowdfunding;
Online labor markets and remote work;
Online communities, including user-generated contents (UGCs); and
Impact and business use of Artificial Intelligence, especially Generative AI.

He is a Research Fellow at Cambridge University's Cambridge Centre for Alternative Finance, and Research Affiliate at the Center for Analytical Finance at the University of California, Santa Cruz. Prior to joining Georgia Tech in summer 2018, he was an Associate Professor in the MIS Department, Eller College of Management, University of Arizona.

His ORCID page is at:
orcid.org/0000-0003-3239-7412

Some of his working papers are available on SSRN here.

Education

Ph.D., University of Maryland, College Park
M.A., University of Maryland, College Park
M.A., Peking University, Beijing, China
B.A., Peking University, Beijing, China

Research Areas

Fintech
Data Analytics
Online Labor Markets
Entrepreneurship
Business Applications of AI and GenAI

Research

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Type

Year	Title	Journal	Author(s)	Type
2025	When "Signals" Boomerang: Employers' Reactions to a Novel Signaling Mechanism	Scheller College Working Paper	Gao, Qiang Lin, Mingfeng Liu, Yong Guo, Chenhui	Working Papers	View
Gao, Qiang and Lin, Mingfeng and Liu, Yong, When "Signals" Boomerang: Employers' Reactions to a Novel Signaling Mechanism (April 2023). Available at SSRN: https://ssrn.com/abstract=3399245 or http://dx.doi.org/10.2139/ssrn.3399245
2025	All That Glitters Is Not Gold: The Impact of Certification Costs In Online Labor Markets	Information Systems Research	Bai, Jiaru Gao, Qiang Goes, Paulo Lin, Mingfeng	Published Papers	View
2024	Higher Precision Is Not Always Better: Search Algorithm and Consumer Engagement	Management Science (Forthcoming)	Zhou, Wei Lin, Mingfeng Xiao, Mo Fang, Lu	Published Papers	View
2023	The Effect of Secondary Market Closure on Primary Market Funding Time: Evidence from Peer-to-Peer Lending	Scheller Working Paper Series	Holden, Craig Lin, Mingfeng Lu, Kai Schneemeier, Jan Wei, Zaiyan Yang, Jun	Working Papers	View
Holden, Craig W. and Lin, Mingfeng and Lu, Kai and Schneemeier, Jan and Wei, Zaiyan and Yang, Jun, The Effect of Secondary Market Closure on Primary Market Funding Time: Evidence from Peer-to-Peer Lending (February 22, 2023). Available at SSRN: https://ssrn.com/abstract=3502006 or http://dx.doi.org/10.2139/ssrn.3502006
2023	Words Matter: The Role of Readability, Tone, and Deception Cues in Online Credit Markets	Journal of Financial and Quantitative Analysis	Gao, Qiang Lin, Mingfeng Sias, Richard	Published Papers	View
Gao, Qiang, Mingfeng Lin, and Richard W. Sias (2023). "Words matter: The role of texts in online credit markets." Journal of Financial and Quantitative Analysis, 58(1), pp. 1-28.
2023	Revealed Wisdom of the Crowd: Bids Predict Loan Quality	Management Science	Yao, Jiayu Lin, Mingfeng Wu, D.J.	Published Papers	View
Yao, Jiayu and Lin, Mingfeng and Wu, D. J., Revealed Wisdom of the Crowd: Bids Predict Loan Quality. Management Science (Forthcoming). Available at SSRN: https://ssrn.com/abstract=3837049
2023	Experts vs. Non-Experts in Online Crowdfunding Markets	MIS Quarterly	Lin, Mingfeng Sias, Richard Wei, Zaiyan	Published Papers	View
Lin, Mingfeng; Sias, Richard W.; and Wei, Zaiyan. 2023. "Experts vs. Nonexperts in Online Crowdfunding Markets," MIS Quarterly, (47: 1) pp.97-126.
2021	An Overview of Technologically Enabled Finance	The Palgrave Handbook of Technological Finance	Brown, David Lin, Mingfeng	Other	View
Brown, D.C., Lin, M. (2021). An Overview of Technologically Enabled Finance. In: Rau, R., Wardrop, R., Zingales, L. (eds) The Palgrave Handbook of Technological Finance. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-65117-6_1
2020	Educational Crowdfunding and Student Performance: An Empirical Study	Information Systems Research	Gao, Qiang Lin, Mingfeng Wu, D.J.	Published Papers	View
Qiang Gao, Mingfeng Lin, D. J. Wu (2021) Education Crowdfunding and Student Performance: An Empirical Study. Information Systems Research 32(1):53-71.
2019	Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act	Information Systems Research	Lin, Yu-Kai Lin, Mingfeng Chen, Hsinchun	Published Papers	View
Yu-Kai Lin, Mingfeng Lin, Hsinchun Chen (2019) Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act. Information Systems Research 30(1):306-318.
2018	Effectiveness of Reputation in Contracting for Customized Production: Evidence from Online Labor Markets	Management Science	Lin, Mingfeng Liu, Yong Viswanathan, Siva	Published Papers	View
Mingfeng Lin, Yong Liu, Siva Viswanathan (2016) Effectiveness of Reputation in Contracting for Customized Production: Evidence from Online Labor Markets. Management Science 64(1):345-359.
2018	Chapter 10: Out of the shadow? Promises and challenges of peer-to-peer lending	Research Handbook on Shadow Banking	Lin, Mingfeng	Other	View
Lin, Mingfeng. "Out of the shadow? Promises and challenges of peer-to-peer lending." Research Handbook on Shadow Banking. Edward Elgar Publishing, 2018. 297-313.
2018	When More is Less: Field Evidence on Unintended Consequences of Multitasking	Management Science	Goes, Paulo Ilk, Noyan Lin, Mingfeng Zhao, Leon	Published Papers	View
Paulo B. Goes, Noyan Ilk, Mingfeng Lin, J. Leon Zhao (2017) When More Is Less: Field Evidence on Unintended Consequences of Multitasking. Management Science 64(7):3033-3054.
2017	Market Mechanisms in Online Peer-to-Peer Lending	Management Science	Wei, Zaiyan Lin, Mingfeng	Published Papers	View
Zaiyan Wei, Mingfeng Lin (2016) Market Mechanisms in Online Peer-to-Peer Lending. Management Science 63(12):4236-4257.
2016	Do Incentive Hierarchies Induce User Effort? Evidence from an Online Knowledge Exchange	Information Systems Research	Goes, Paulo Guo, Chenghui Lin, Mingfeng	Published Papers	View
Paulo B. Goes, Chenhui Guo, Mingfeng Lin (2016) Do Incentive Hierarchies Induce User Effort? Evidence from an Online Knowledge Exchange. Information Systems Research 27(3):497-516.
2016	Home Bias in Online Investments: An Empirical Study of An Online Crowdfunding Market	Management Science	Lin, Mingfeng Viswanathan, Siva	Published Papers	View
Mingfeng Lin, Siva Viswanathan (2015) Home Bias in Online Investments: An Empirical Study of an Online Crowdfunding Market. Management Science 62(5):1393-1414.
2014	"Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews	Information Systems Research	Goes, Paulo Lin, Mingfeng Au Yeung, Albert	Published Papers	View
Paulo B. Goes, Mingfeng Lin, Ching-man Au Yeung (2014) “Popularity Effect” in User-Generated Content: Evidence from Online Product Reviews. Information Systems Research 25(2):222-238.
2013	Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending	Management Science	Lin, Mingfeng Prabhala, N.R. Viswanathan, Siva	Published Papers	View
Mingfeng Lin, Nagpurnanand R. Prabhala, Siva Viswanathan, (2012) Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending. Management Science 59(1):17-35.
2013	Too Big to Fail: Large Samples and the p-Value Problem	Information Systems Research	Lin, Mingfeng Lucas, Hank Shmueli, Galit	Published Papers	View
Mingfeng Lin, Henry C. Lucas Jr, Galit Shmueli (2013) Research Commentary—Too Big to Fail: Large Samples and the p-Value Problem. Information Systems Research 24(4):906-917.

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Journal Editorial Roles

Associate Editor, Management Science

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