Param Vir Singh

Carnegie Mellon University - David A. Tepper School of Business

Carnegie Bosch Professor of Business Technology and Marketing

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

United States

  • Carnegie Mellon University - David A. Tepper School of Business

    • Email
    • Tel: 412-268-3585
SCHOLARLY PAPERS

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Scholarly Papers (43)

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1.

What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features

Number of pages: 75 Posted: 31 May 2017 Last Revised: 02 Jul 2021
Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
Harvard University - Business School (HBS), Boston University - Questrom School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 7,643 (1,541)
Citation 43

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sharing economy, Airbnb, property demand, computer vision, deep learning, image feature extraction, content engineering

2.

Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

Rotman School of Management Working Paper No. 3770371
Number of pages: 21 Posted: 22 Mar 2021
Shunyuan Zhang, Nitin Mehta, Param Vir Singh and Kannan Srinivasan
Harvard University - Business School (HBS), University of Toronto - Rotman School of Management, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 2,216 (12,044)
Citation 3

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Smart Pricing, Pricing Algorithm, Machine Bias, Discrimination, Racial Disparity, Social Inequality, Airbnb Revenue

3.

An Empirical Analysis of the Impact of Pre-Release Movie Piracy on Box-Office Revenue

Information Systems Research, Forthcoming
Number of pages: 30 Posted: 11 Mar 2011 Last Revised: 23 Oct 2014
Liye Ma, Alan Montgomery, Param Vir Singh and Michael D. Smith
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - H. John Heinz III School of Public Policy and Management
Downloads 1,864 (15,798)
Citation 9

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Movies, Digital Piracy, Theatrical Revenue

4.

Network Effects: The Influence of Structural Social Capital on Open Source Project Success

Management Information Systems Quarterly, Forthcoming
Number of pages: 43 Posted: 26 Mar 2008 Last Revised: 02 Sep 2014
Param Vir Singh, Yong Tan and Vijay Mookerjee
Carnegie Mellon University - David A. Tepper School of Business, University of Washington - Michael G. Foster School of Business and University of Texas at Dallas - Naveen Jindal School of Management
Downloads 1,630 (19,448)
Citation 25

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open source software development, social networks, productivity, social capital, project success, team composition

5.

AI and Algorithmic Bias: Source, Detection, Mitigation and Implications

Number of pages: 35 Posted: 16 Oct 2020
Runshan Fu, Yan Huang and Param Vir Singh
New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 1,544 (21,147)
Citation 12

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artificial intelligence; machine learning; fair machine learning; algorithms; unintended consequence of algorithms; algorithmic bias; algorithmic transparency

6.

A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media

Number of pages: 38 Posted: 18 Mar 2011 Last Revised: 19 Jul 2012
Yan Huang, Param Vir Singh and Anindya Ghose
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and New York University (NYU) - Leonard N. Stern School of Business
Downloads 1,168 (32,007)
Citation 20

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Structural modeling, Dynamics, Enterprise social media, Blog posting, Blog reading, Work-related content, Leisure-related content

7.

'Un'Fair Machine Learning Algorithms

Number of pages: 49 Posted: 04 Jul 2019 Last Revised: 15 Apr 2021
Runshan Fu, Manmohan Aseri, Param Vir Singh and Kannan Srinivasan
New York University (NYU) - Leonard N. Stern School of Business, University of Pittsburgh - Katz Graduate School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 1,078 (35,833)
Citation 4

Abstract:

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algorithmic bias, fair algorithms, machine learning bias, equality of opportunity, algorithms and bias, machine learning, bias

8.

Board Networks and Merger Performance

Number of pages: 63 Posted: 01 Jan 2009 Last Revised: 10 Sep 2009
Param Vir Singh and Robert J. Schonlau
Carnegie Mellon University - David A. Tepper School of Business and Colorado State University, Fort Collins - Department of Finance & Real Estate
Downloads 1,037 (37,894)
Citation 12

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Mergers, Directors, Networks, Acquisitions, Interlocks, Boards

9.

Crowds, Lending, Machine, and Bias

Number of pages: 40 Posted: 21 Jul 2018 Last Revised: 25 Jun 2020
Runshan Fu, Yan Huang and Param Vir Singh
New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 963 (42,041)
Citation 4

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fintech, peer-to-peer lending, crowdfunding, machine learning, algorithmic bias, machine vs humans

10.

The Emergence of Opinion Leaders in a Networked Online Community: A Dyadic Model with Time Dynamics and a Heuristic for Fast Estimation

Management Science, Forthcoming
Number of pages: 33 Posted: 04 Mar 2010 Last Revised: 28 Jan 2013
Yingda Lu, Kinshuk Jerath and Param Vir Singh
Rensselaer Polytechnic Institute (RPI), Columbia University - Columbia Business School, Marketing and Carnegie Mellon University - David A. Tepper School of Business
Downloads 923 (44,581)
Citation 4

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user-generated content, opinion leaders, social networks, network growth, proportional hazard model, weighted exogenous sampling

11.

A Hidden Markov Model for Collaborative Filtering

Management Information Systems Quarterly, Forthcoming
Number of pages: 33 Posted: 31 Oct 2010 Last Revised: 13 Aug 2012
Nachiketa Sahoo, Param Vir Singh and Tridas Mukhopadhyay
Boston University - Questrom School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 840 (50,754)
Citation 8

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Recommender Systems, Collaborative Filtering, HMM, Implicit Rating

12.

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

Number of pages: 51 Posted: 23 Feb 2018 Last Revised: 01 Feb 2022
Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Tridas Mukhopadhyay
Harvard University - Business School (HBS), Boston University - Questrom School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 784 (55,717)
Citation 4

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

13.

Copycats versus Original Mobile Apps: A Machine Learning Copycat Detection Method and Empirical Analysis

Number of pages: 48 Posted: 09 Mar 2015 Last Revised: 06 May 2017
Quan Wang, Beibei Li and Param Vir Singh
Carnegie Mellon University - H. John Heinz III School of Public Policy and Management, Carnegie Mellon University - H. John Heinz III School of Public Policy and Management and Carnegie Mellon University - David A. Tepper School of Business
Downloads 767 (57,384)
Citation 21

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mobile, mobile apps, copycats, mobile app demand, mobile app competition, mobile applications, iOS

14.

Algorithms, Artificial Intelligence and Simple Rule Based Pricing

Number of pages: 62 Posted: 29 Jun 2022 Last Revised: 24 Apr 2023
Qiaochu Wang, Yan Huang, Param Vir Singh and Kannan Srinivasan
Carnegie Mellon University - David A. 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 - David A. Tepper School of Business
Downloads 766 (57,492)
Citation 1

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Algorithmic pricing, competition, rule-based pricing, reinforcement learning

15.

Trade-offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel

Forthcoming, Information Systems Research
Number of pages: 50 Posted: 18 Jun 2019
Vilma Todri, Anindya Ghose and Param Vir Singh
Emory University - Goizueta Business School, New York University (NYU) - Leonard N. Stern School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 734 (60,818)
Citation 13

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Consumer Annoyance; Dynamic Models; Hidden Markov Models; Digital Advertising; Ad Repetition; Purchase Funnel

16.

A Structural Analysis of the Role of Superstars in Crowdsourcing Contests

Number of pages: 40 Posted: 21 Apr 2016 Last Revised: 20 Sep 2017
Shunyuan Zhang, Param Vir Singh and Anindya Ghose
Harvard University - Business School (HBS), Carnegie Mellon University - David A. Tepper School of Business and New York University (NYU) - Leonard N. Stern School of Business
Downloads 716 (62,928)
Citation 17

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Crowdsourcing Contests, Superstar Effect, Bayesian Learning, Utility, Economics of Information System, Dynamic Structural Model, Dynamic Programming, Monte Carlo Markov Chain

17.

When Does Beauty Pay? A Large-Scale Image Based Appearance Analysis on Career Transitions

Number of pages: 38 Posted: 25 Jul 2018 Last Revised: 30 Sep 2023
Nikhil Malik, Param Vir Singh and Kannan Srinivasan
Marshall School of Business, USC, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 711 (63,635)
Citation 1

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Beauty Premium, Personal Marketing, Bias in workplace, Perceptions, Beliefs, Preferences, Attractiveness Prediction, Generative Deep Learning, Image Morphing, Text Mining

18.

Crowdsourcing New Product Ideas Under Consumer Learning

Management Science, Forthcoming
Number of pages: 37 Posted: 19 Dec 2011 Last Revised: 23 Oct 2014
Yan Huang, Param Vir Singh and Kannan Srinivasan
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 645 (71,954)
Citation 12

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Crowdsourcing, Structural Modeling, Dynamic Learning, Heterogeneity, Econometric analyses, Utility, Ideation, Bayesian Learning

19.

A Hidden Markov Model of Developer Learning Dynamics in Open Source Software Projects

Information Systems Research
Number of pages: 39 Posted: 18 Apr 2008 Last Revised: 20 Oct 2014
Param Vir Singh, Nara Youn and Yong Tan
Carnegie Mellon University - David A. Tepper School of Business, University of Washington and University of Washington - Michael G. Foster School of Business
Downloads 598 (79,001)
Citation 7

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Open source software development, learning, communication, Hidden Markov Model

20.

Knowledge Sharing in Online Communities: Learning to Cross Geographic and Hierarchical Boundaries

Hwang EH, Singh PV, Argote L (2015) Knowledge Sharing in Online Communities: Learning to Cross Geographic and Hierarchical Boundaries. Organization Science 26(6):1593–1611.
Number of pages: 45 Posted: 12 Jan 2012 Last Revised: 22 Sep 2021
Elina H. Hwang, Param Vir Singh and Linda Argote
University of Washington - Michael G. Foster School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 577 (82,584)
Citation 14

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knowledge sharing; online knowledge communities; experiential learning; interpersonal similarity; common ground

21.

Algorithmic Transparency with Strategic Users

Number of pages: 67 Posted: 27 Aug 2020 Last Revised: 03 Dec 2021
Qiaochu Wang, Yan Huang, Stefanus Jasin and Param Vir Singh
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business, University of Michigan, Stephen M. Ross School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 543 (89,334)

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Algorithmic Transparency, Game Theory, Machine Learning, Strategic Classification, Signaling Game, Information Game

22.

The Small World Effect: The Influence of Macro Level Properties of Developer Collaboration Networks on Open Source Project Success

ACM Transactions on Software Engineering and Methodology (TOSEM)
Number of pages: 37 Posted: 25 Mar 2008 Last Revised: 02 Sep 2014
Param Vir Singh
Carnegie Mellon University - David A. Tepper School of Business
Downloads 539 (89,977)
Citation 2

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Open source software development, social networks, small world networks, collaborative software development, econometrics.

23.

Is Core-Periphery Network Good for Knowledge Sharing? A Structural Model of Endogenous Network Formation on a Crowdsourced Customer Support Forum

Number of pages: 43 Posted: 27 Aug 2014 Last Revised: 04 Aug 2015
Yingda Lu, Param Vir Singh and Baohong Sun
Rensselaer Polytechnic Institute (RPI), Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 481 (103,444)
Citation 1

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Social media, Social CRM, Structural Modeling, Oblivious Equilibrium, Web 2.0, Learning by Sharing, Discussion Forums

24.

Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities

Hwang EH, Singh PV, Argote L (2019) Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities. Information Systems Research 30(2).
Number of pages: 54 Posted: 15 Jul 2015 Last Revised: 26 Jan 2020
Elina H. Hwang, Param Vir Singh and Linda Argote
University of Washington - Michael G. Foster School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 421 (121,351)
Citation 9

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crowdsourcing, new product innovation, information network, natural language processing

25.

How to Attract and Retain Readers in Enterprise Blogging?

Number of pages: 40 Posted: 28 May 2010 Last Revised: 23 Oct 2014
Param Vir Singh, Nachiketa Sahoo and Tridas Mukhopadhyay
Carnegie Mellon University - David A. Tepper School of Business, Boston University - Questrom School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 407 (125,819)
Citation 12

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Blogs, Employee Blogs, Enterprise 2.0, Blog Reading, Dynamic Models, User Generated Content, Latent Class Models, Hidden Markov Models, Regime Switching Models, Text mining

26.

Networks, Social Influence and the Choice Among Competing Innovations: Insights from Open Source Software Licenses

Information Systems Research, Forthcoming
Number of pages: 63 Posted: 21 Jul 2009 Last Revised: 13 Mar 2013
Param Vir Singh, Corey C. Phelps and Corey C. Phelps
Carnegie Mellon University - David A. Tepper School of Business and McGill UniversityUniversity of Oklahoma - Michael F. Price College of Business
Downloads 392 (131,348)
Citation 3

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open source software license, social networks, adoption and diffusion, IT governance, social influence, hierarchical Bayes

27.

Algorithmic Lending, Competition, and Strategic Information Disclosure

Number of pages: 54 Posted: 16 Feb 2022 Last Revised: 20 Apr 2023
Qiaochu Wang, Yan Huang and Param Vir Singh
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 380 (136,010)

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consumer finance, credit approval, pre-approval odds, competition, fintech, machine learning, financial intermediary, game theory.

28.

Developer Heterogeneity and Formation of Communication Networks in Open Source Software Projects

Journal of Management Information Systems, Volume 27, Number 3, 2010
Number of pages: 63 Posted: 01 Oct 2008 Last Revised: 07 Nov 2017
Param Vir Singh and Yong Tan
Carnegie Mellon University - David A. Tepper School of Business and University of Washington - Michael G. Foster School of Business
Downloads 343 (152,117)
Citation 1

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social networks, network formation, game theory, open source, software, knowledge worker, teams

29.

Learning Curves of Agents with Diverse Skills in Information Technology Enabled Physician Referral Systems

Information Systems Research, Forthcoming
Number of pages: 39 Posted: 06 Feb 2009 Last Revised: 31 Aug 2012
Tridas Mukhopadhyay, Param Vir Singh and Seung Hyun Kim
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and National University of Singapore (NUS)
Downloads 304 (172,929)

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Business Value of IT, Economics of IS, Econometrics, Physician Referral System, Learning Curves, IT Enabled Call Centers.

30.

Deep Learning in Computer Vision: Methods, Interpretation, Causation and Fairness

Number of pages: 32 Posted: 12 Jun 2019 Last Revised: 09 Oct 2019
Nikhil Malik and Param Vir Singh
Marshall School of Business, USC and Carnegie Mellon University - David A. Tepper School of Business
Downloads 299 (175,951)
Citation 3

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Computer Vision, Deep Learning, Optimization, Generative Models, Interpretability, Causality, Fairness

31.

Stability and Efficiency of Communication Networks in Open Source Software Development

15th Annual Workshop on Information Technolgies & Systems (WITS) Paper
Number of pages: 22 Posted: 02 Mar 2006 Last Revised: 15 May 2011
Yong Tan and Param Vir Singh
University of Washington - Michael G. Foster School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 279 (189,002)

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Open source software development, Social networks, Efficiency, Stability, communication structure, coordination structure.

32.

Online Appendix to Crowdsourcing New Product Ideas Under Consumer Learning

Number of pages: 10 Posted: 30 May 2014
Yan Huang, Param Vir Singh and Kannan Srinivasan
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 196 (265,264)
Citation 1

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Crowdsourcing, Structural Modeling, Dynamic Learning, Heterogeneity, Econometric analyses, Utility, Ideation, Bayesian Learning

33.

Unequal Impact of Zestimate on the Housing Market

Number of pages: 54 Posted: 28 Jun 2023
Runshan Fu, Yan Huang, Nitin Mehta, Param Vir Singh and Kannan Srinivasan
New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business, University of Toronto - Rotman School of Management, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 170 (302,153)

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Algorithms, Social impact, Economics of machine Learning, Housing markets

34.

Community Costs? Analyzing the Contingent Association Between Internal Cohesion and External Knowledge Transfer Relationships

Number of pages: 29 Posted: 04 Jun 2012 Last Revised: 05 Jun 2012
Ray Reagans, Param Vir Singh and Ramayya Krishnan
affiliation not provided to SSRN, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - H. John Heinz III School of Public Policy and Management
Downloads 140 (353,006)

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cohesion, knowledge overlap, knowledge transfer, social networks

35.

A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing

Liu, X., Singh, P. V., & Srinivasan, K. (2016). A structured analysis of unstructured big data by leveraging cloud computing. Marketing Science, 35(3), 363-388.
Number of pages: 37 Posted: 20 Jul 2020 Last Revised: 08 Sep 2020
Xiao Liu, Param Vir Singh 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 126 (382,677)
Citation 15

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big data; cloud computing; text mining; user generated content; Twitter; Google Trends

36.

Online Technical Appendix for 'The Emergence of Opinion Leaders in a Networked Online Community: A Dyadic Model with Time Dynamics and a Heuristic for Fast Estimation'

Number of pages: 55 Posted: 25 Jan 2013 Last Revised: 28 Aug 2015
Yingda Lu, Kinshuk Jerath and Param Vir Singh
Rensselaer Polytechnic Institute (RPI), Columbia University - Columbia Business School, Marketing and Carnegie Mellon University - David A. Tepper School of Business
Downloads 94 (471,221)
Citation 7

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user-generated content, opinion leaders, social networks, network growth, proportional hazard model, weighted exogenous sampling

37.

Do Lower-Quality Images Lead to Higher Demand on Airbnb?

Number of pages: 41 Posted: 31 Oct 2023
Shunyuan Zhang, Nitin Mehta, Param Vir Singh and Kannan Srinivasan
Harvard University - Business School (HBS), University of Toronto - Rotman School of Management, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 76 (536,134)

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Image Analytics; Sharing Economy; Deep Learning; Dynamic Structural Model; Professional Image Adoption

38.

Does Personalization in Product Rankings Facilitate or Mitigate Algorithmic Pricing Collusion?

Number of pages: 46 Posted: 26 Jun 2022 Last Revised: 30 Sep 2023
Liying Qiu, Yan Huang, Param Vir Singh and Kannan Srinivasan
Carnegie Mellon 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 63 (592,640)

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Ranking systems, Algorithmic collusion, Reinforcement learning, Pricing, Sequential search, Personalization, Marketing, Algorithmic pricing

39.

How Much Should We Trust LLM Results for Marketing Research?

Posted: 31 Jul 2023
Liying Qiu, Param Vir Singh and Kannan Srinivasan
Carnegie Mellon University, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business

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Large Language Models, Generative Pre-trained transformer, GPT, LLMs in Marketing research, GPT risk preferences

40.

Wrong Model or Wrong Practices? Mis-specified Demand Model and Algorithmic Bias in Personalized Pricing

Posted: 25 Jun 2023
Qiaochu Wang, Yan Huang, Param Vir Singh and Kannan Srinivasan
Carnegie Mellon University - David A. 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 - David A. Tepper School of Business

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Algorithmic Bias, Fairness, Personalized Pricing, Structural modeling

41.

Privacy Discrimination Under GDPR

Posted: 03 Aug 2020
Qiaochu Wang, Yan Huang and Param Vir Singh
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

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General data protection regulation, GDPR, data privacy, price discrimination, privacy discrimination, product recommendation

42.

Why Bitcoin Will Fail to Scale?

Posted: 04 Feb 2019 Last Revised: 02 Oct 2022
Nikhil Malik, Manmohan Aseri, Param Vir Singh and Kannan Srinivasan
Marshall School of Business, USC, University of Pittsburgh - Katz Graduate School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 0 (1,060,808)
Citation 2

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Bitcoin, Blockchain, Miners, Collusion, Repeated Game, Fees, MicroPayments, Scalability, Security

43.

Blog, Blogger and the Firm: Can Negative Posts by Employees Lead to Positive Outcomes?

Information Systems Research, Forthcoming
Posted: 06 Jan 2010 Last Revised: 05 Aug 2014
Rohit Aggarwal, Ram D. Gopal, Ramesh Shankar and Param Vir Singh
University of Utah - Department of Operations and Information Systems, University of Connecticut - Department of Operations & Information Management, University of Connecticut - Department of Operations & Information Management and Carnegie Mellon University - David A. Tepper School of Business

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blog, employee blogs, bloggers, attribution theory, non-linear models, negative posts, influence