Gene Moo Lee

University of British Columbia (UBC) - Sauder School of Business

Associate Professor

2053 Main Mall

Vancouver, BC V6T 1Z2

Canada

  • University of British Columbia (UBC) - Sauder School of Business

SCHOLARLY PAPERS

11

DOWNLOADS
Rank 48,328

SSRN RANKINGS

Top 48,328

in Total Papers Downloads

1,747

SSRN CITATIONS

4

CROSSREF CITATIONS

5

Ideas:
“  Advancing Business Analytics using Artificial Intelligence  ”

  • University of British Columbia (UBC) - Sauder School of Business

Scholarly Papers (11)

Actions:
Email selected abstracts
1.

Predicting Litigation Risk via Machine Learning

Number of pages: 45 Posted: 11 Dec 2020
Gene Moo Lee, James P. Naughton, Xin Zheng and Dexin Zhou
University of British Columbia (UBC) - Sauder School of Business, University of Virginia, Darden School of Business, University of British Columbia and City University of New York, Baruch College - Zicklin School of Business - Department of Economics and Finance
Downloads 956 (42,484)
Citation 1

Abstract:

Loading...

Machine Learning, Securities Class Action Lawsuits, Neural Network

2.

Matching Mobile Applications for Cross Promotion

Gene Moo Lee, Shu He, Joowon Lee, Andrew B. Whinston (2020) Matching Mobile Applications for Cross-Promotion. Information Systems Research 31(3):865-891.
Number of pages: 63 Posted: 06 Jan 2017 Last Revised: 27 Oct 2021
Gene Moo Lee, Shu He, Joowon Lee and Andrew B. Whinston
University of British Columbia (UBC) - Sauder School of Business, University of Florida - Information Systems and Operations Management, Hansung University and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 361 (143,972)
Citation 2

Abstract:

Loading...

Mobile applications, cross promotion, matching, search cost, two-sided platform, topic modeling, machine learning, deferred acceptance, algorithm

3.

Does Deceptive Marketing Pay? The Evolution of Consumer Sentiment Surrounding a Pseudo-Product-Harm Crisis

Journal of Business Ethics, 158(3), pp. 743-761.
Number of pages: 39 Posted: 08 Sep 2016 Last Revised: 04 May 2021
Reo Song, Ho Kim, Gene Moo Lee and Sungha Jang
California State University, Long Beach - College of Business Administration, University of California, Los Angeles (UCLA) - Anderson School of Management, University of British Columbia (UBC) - Sauder School of Business and Kansas State University - College of Business Administration
Downloads 136 (361,124)
Citation 1

Abstract:

Loading...

product-harm crisis, deceptive marketing, unethical business practice, slandering, advertising, word of mouth, social media, text mining

4.

How Would Information Disclosure Influence Organizations' Outbound Spam Volume? Evidence from a Field Experiment

Journal of Cybersecurity, 2(1), 99-118, 2016
Number of pages: 56 Posted: 28 Aug 2016 Last Revised: 05 Jan 2017
Shu He, Gene Moo Lee, Sukjin Han and Andrew B. Whinston
University of Florida - Information Systems and Operations Management, University of British Columbia (UBC) - Sauder School of Business, University of Texas at Austin - Department of Economics and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 112 (417,341)

Abstract:

Loading...

Cybersecurity, policy design, randomized field experiments, information asymmetry, peer effects, regression tree, random forest, heterogeneous treatment effects

5.

Price Competition and Active or Inactive Consumer Search

Number of pages: 51 Posted: 30 Oct 2019 Last Revised: 06 Dec 2023
Yumi Koh, Gea M. Lee and Gene Moo Lee
Singapore Management University, Singapore Management University - School of Economics and University of British Columbia (UBC) - Sauder School of Business
Downloads 93 (474,484)

Abstract:

Loading...

Price competition, Active or inactive consumer search, Heterogeneous production costs, Private information.

6.

Spam and Botnet Reputation Randomized Control Trials and Policy

TPRC 41: The 41st Research Conference on Communication, Information and Internet Policy
Number of pages: 13 Posted: 02 Apr 2013 Last Revised: 16 Aug 2013
John S. Quarterman, Leigh L. Linden, Qian Tang, Gene Moo Lee and Andrew B. Whinston
Quarterman Creations, The University of Texas at Austin, Singapore Management University - School of Information Systems, University of British Columbia (UBC) - Sauder School of Business and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 89 (487,697)
Citation 1

Abstract:

Loading...

spam, botnet, reputation, peer influence, RCT, disclosure, economics, law, business, finance

7.

Understanding Security Vulnerability Awareness, Firm Incentives, and ICT Development in Pan-Asia

Journal of Management Information Systems, 37(3): 668-693
Posted: 08 Jan 2019 Last Revised: 19 Nov 2020
Vincent Y. Zhuang, Yun-Sik Choi, Shu He, Alvin Leung, Gene Moo Lee and Andrew B. Whinston
City University of Hong Kong (CityU) - Department of Information Systems, University of Texas at Austin - Department of Computer Science, University of Florida - Information Systems and Operations Management, City University of Hong Kong (CityU) - Department of Information Systems, University of British Columbia (UBC) - Sauder School of Business and University of Texas at Austin - Department of Information, Risk and Operations Management

Abstract:

Loading...

cybersecurity; information security index; randomized field experiment; security awareness; firm incentives; ICT development

8.

On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data

Information Systems Research, Forthcoming
Posted: 14 Sep 2016 Last Revised: 15 May 2021
Young Kwark, Gene Moo Lee, Paul A. Pavlou and Liangfei Qiu
affiliation not provided to SSRN, University of British Columbia (UBC) - Sauder School of Business, University of Houston - C.T. Bauer College of Business and University of Florida - Warrington College of Business Administration

Abstract:

Loading...

Online Product Reviews, Substitutive Products, Complementary Products, Brand Spillover, WOM Spillover, Topic Modeling, Machine Learning

9.

Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach

MIS Quarterly 44(4), pp. 1459-1492.
Posted: 26 Aug 2016 Last Revised: 27 Oct 2021
Donghyuk Shin, Shu He, Gene Moo Lee, Andrew B. Whinston, Suleyman Cetintas and Kuang-Chih Lee
Arizona State University (ASU) - Department of Information Systems, University of Florida - Information Systems and Operations Management, University of British Columbia (UBC) - Sauder School of Business, University of Texas at Austin - Department of Information, Risk and Operations Management, Yahoo! - Yahoo! Research Labs and Yahoo! - Yahoo! Research Labs

Abstract:

Loading...

semantic content analysis, social media, online advertisement, customer engagement, deep learning, topic modeling, Big Data, representation learning, machine learning, Tumblr

10.

A Friend Like Me: Modeling Network Formation in a Location-Based Social Network

Journal of Management Information Systems, 33(4), 1008-1033
Posted: 25 Apr 2016 Last Revised: 08 Jul 2017
Gene Moo Lee, Liangfei Qiu and Andrew B. Whinston
University of British Columbia (UBC) - Sauder School of Business, University of Florida - Warrington College of Business Administration and University of Texas at Austin - Department of Information, Risk and Operations Management

Abstract:

Loading...

network formation, location-based service, social networks, user proximity, topic modeling, homophily

11.

Toward a Better Measure of Business Proximity: Topic Modeling for Industry Intelligence

MIS Quarterly, 40(4), 1035-1056
Posted: 25 Oct 2015 Last Revised: 08 Jul 2017
Zhan Shi, Gene Moo Lee and Andrew B. Whinston
Arizona State University (ASU) - W.P. Carey School of Business, University of British Columbia (UBC) - Sauder School of Business and University of Texas at Austin - Department of Information, Risk and Operations Management

Abstract:

Loading...

Big Data analytics, business proximity, topic modeling, industry intelligence, information system