Dokyun Lee

Carnegie Mellon University - David A. Tepper School of Business

Assistant Professor of Business Analytics

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

United States

SCHOLARLY PAPERS

14

DOWNLOADS
Rank 1,286

SSRN RANKINGS

Top 1,286

in Total Papers Downloads

25,893

SSRN CITATIONS
Rank 10,831

SSRN RANKINGS

Top 10,831

in Total Papers Citations

88

CROSSREF CITATIONS

23

Ideas:
“  Economics of Unstructured Data, Interpretable Machine Learning for Business and Society, Unintended Consequence of Machine Learning.  ”

Scholarly Papers (14)

1.

Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook

Management Science, Accepted and Forthcoming
Number of pages: 57 Posted: 26 Sep 2013 Last Revised: 07 Mar 2018
Carnegie Mellon University - David A. Tepper School of Business, University of Pennsylvania - Operations & Information Management Department and Stanford University - Graduate School of Business
Downloads 8,423 (777)
Citation 15

Abstract:

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consumer engagement, social media, advertising content, content engineering, marketing communication, large-scale data, natural language processing, machine learning, selection, Facebook, EdgeRank, content engineering, text mining

2.

Focused Concept Miner (FCM): Interpretable Deep Learning for Text Exploration

Number of pages: 45 Posted: 21 Dec 2018 Last Revised: 23 Sep 2020
Dokyun Lee, Emaad Manzoor and Zhaoqi Cheng
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University, Students and Carnegie Mellon University - David A. Tepper School of Business
Downloads 4,385 (2,437)
Citation 5

Abstract:

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Interpretable Machine Learning, Deep Learning, Text Mining, Automatic Concept Extraction, Coherence, Transparent Algorithm, Augmented Hypothesis Development, XAI

3.

How Much Is an Image Worth? Airbnb Property Demand Estimation Leveraging Large Scale Image Analytics

Number of pages: 32 Posted: 31 May 2017 Last Revised: 17 Jun 2018
Harvard University, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 4,226 (2,585)
Citation 18

Abstract:

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sharing economy, Airbnb, economic impact of images, photography, computer vision, deep learning, image quality classification, image feature extraction, treatment effect, image attribute analysis

4.

Will the Global Village Fracture into Tribes: Recommender Systems and Their Effects on Consumers

Management Science, Vol. 60, No. 4, pp. 805-823, April 2014
Number of pages: 33 Posted: 31 Dec 2008 Last Revised: 05 Aug 2015
University of Pennsylvania - Operations & Information Management Department, University of Pennsylvania - The Wharton School, Carnegie Mellon University - David A. Tepper School of Business and University of Pennsylvania - Statistics Department
Downloads 3,857 (3,029)
Citation 23

Abstract:

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recommender systems, collaborative filtering, fragmentation, personalization, long tail

5.

How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment

Forthcoming at Information Systems Research
Number of pages: 44 Posted: 07 Oct 2016 Last Revised: 15 Sep 2018
Dokyun Lee and Kartik Hosanagar
Carnegie Mellon University - David A. Tepper School of Business and University of Pennsylvania - Operations & Information Management Department
Downloads 1,373 (16,565)
Citation 20

Abstract:

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E-Commerce, Personalization, Recommender systems, Sales volume, Sales diversity, Consumer purchase behavior, Collaborative filtering, Gini coefficient

6.

How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages?

Lee, Dokyun, and Kartik Hosanagar. "How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages?." Management Science 67.1 (2021): 524-546.
Number of pages: 45 Posted: 08 Oct 2018 Last Revised: 15 Mar 2021
Dokyun Lee and Kartik Hosanagar
Carnegie Mellon University - David A. Tepper School of Business and University of Pennsylvania - Operations & Information Management Department
Downloads 1,127 (22,319)
Citation 2

Abstract:

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E-commerce, Personalization, Recommender Systems, Product Attributes, Consumer Reviews, Awareness, Salience, Purchase Journey

7.

Large-Scale Cross-Category Analysis of Consumer Review Content and Sales Conversion Leveraging Deep Learning

NET Institute Working Paper No. 16-09
Number of pages: 84 Posted: 11 Oct 2016 Last Revised: 12 Jul 2019
Xiao Liu, Dokyun Lee and Kannan Srinivasan
New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University
Downloads 729 (41,249)
Citation 9

Abstract:

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Consumer Purchase Journey, Product Reviews, Review Content, Deep Learn- ing, Content Engineering, Economic Impact of Text

8.

Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft

Number of pages: 62 Posted: 23 Feb 2018 Last Revised: 16 Oct 2020
Harvard University, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 561 (58,050)
Citation 4

Abstract:

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sharing economy, Airbnb, Uber, Lyft, sharing effects, natural experiment, geographic demand dispersion, transportation cost

9.

Good Explanation for Algorithmic Transparency

Number of pages: 31 Posted: 07 Jan 2020 Last Revised: 21 Oct 2020
Joy Lu, Dokyun Lee, Tae Wan Kim and David Danks
Carnegie Mellon University, Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University
Downloads 364 (97,694)
Citation 3

Abstract:

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explainable AI, interpretable AI, lab experiments

10.

Peer Awards Increase User Content Generation but Reduce Content Novelty

Number of pages: 46 Posted: 17 Oct 2019
Boston University - Questrom School of Business, Arizona State University, University of Houston - C.T. Bauer College of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 233 (156,239)
Citation 5

Abstract:

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Peer awards, user-generated content, novelty, Reddit, text-mining, field experiment

11.

Soul and Machine (Learning)

NYU Stern School of Business
Number of pages: 17 Posted: 24 Sep 2019 Last Revised: 26 Aug 2020
Marshall School of Business, University of Southern California, MIT Sloan School of Management, New York University (NYU) - Leonard N. Stern School of Business, Harvard University - Business School (HBS), Yale School of Management, Duke University, Fuqua School of Business, Carnegie Mellon University - David A. Tepper School of Business, Nanigans, University of Michigan, Stephen M. Ross School of Business, University of Michigan, Stephen M. Ross School of Business, Kellogg School of Management, Northwestern University, affiliation not provided to SSRN and University of Washington
Downloads 230 (158,215)
Citation 1

Abstract:

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Machine learning, marketing

12.

How Do Peer Awards Motivate Creative Content? Experimental Evidence from Reddit

Number of pages: 58 Posted: 17 Nov 2020 Last Revised: 04 Jan 2021
Boston University - Questrom School of Business, Arizona State University, University of Houston - C.T. Bauer College of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 169 (209,509)
Citation 1

Abstract:

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Peer awards, user-generated content, novelty, Reddit, text-mining, field experiment

13.

Micro-Giving: On the Use of Mobile Devices and Monetary Subsidies in Charitable Giving

Number of pages: 39 Posted: 02 Dec 2018
Dongwon Lee, Anandasivam Gopal and Dokyun Lee
HKUST Business School, University of Maryland - Robert H. Smith School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 143 (240,572)
Citation 1

Abstract:

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Mobile Devices; Mobile Apps; Cause Marketing; Push Notifications; Monetary Incentives; Matching; Rebates; Intertemporal Choice; Field Experiments

14.

Deep Learning, Text, and Patent Valuation

Number of pages: 42 Posted: 28 Feb 2021
National Tsing Hua University - Department of Quantitative Finance, Carnegie Mellon University - David A. Tepper School of Business, Wharton School, U. Pennsylvania and University of Pennsylvania - Management Department
Downloads 73 (377,980)

Abstract:

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patent value; deep learning; natural language processing