Kannan Srinivasan

Carnegie Mellon University - David A. Tepper School of Business

Professor

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

United States

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

SCHOLARLY PAPERS

30

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Top 7,863

in Total Papers Citations

170

CROSSREF CITATIONS

33

Scholarly Papers (30)

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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 7,642 (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 2,215 (12,044)
Citation 3

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

3.

'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

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

4.

Voice Analytics of Online Influencers

Number of pages: 136 Posted: 18 Feb 2021 Last Revised: 28 Aug 2022
Serim Hwang, Xiao Liu and Kannan Srinivasan
SKK GSB, Sungkyunkwan University, New York University (NYU) - Leonard N. Stern School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 985 (40,742)

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influencer marketing, social media advertisements, voice analytics, affective computing, image recognition

5.

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

6.

An AI Method to Score Celebrity Visual Potential from Human Faces

Number of pages: 88 Posted: 08 Apr 2022 Last Revised: 25 Apr 2022
Xiaohang (Flora) Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Poynor Lamberton
Carnegie Mellon University, Harvard University - Business School (HBS), New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business and University of Pennsylvania
Downloads 716 (62,928)

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Celebrity Visual Potential, Facial Features, Personality Traits, Deep Learning, XAI

7.

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 710 (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

8.

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

9.

A 'Position Paradox' in Sponsored Search Auctions

Johnson School Research Paper Series No. 36-09
Number of pages: 45 Posted: 01 Sep 2009 Last Revised: 15 Oct 2010
Kinshuk Jerath, Liye Ma, Young-Hoon Park and Kannan Srinivasan
Columbia University - Columbia Business School, Marketing, Carnegie Mellon University - David A. Tepper School of Business, Cornell University - Samuel Curtis Johnson Graduate School of Management and Carnegie Mellon University - David A. Tepper School of Business
Downloads 557 (86,559)
Citation 21

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sponsored search advertising, search cost, vertical differentiation, bidding strategy, pay-per-impression, pay-per-click

10.

Firm Strategies in the 'Mid Tail' of Platform-Based Retailing

Number of pages: 50 Posted: 01 Jul 2010 Last Revised: 30 Apr 2011
Baojun Jiang, Kinshuk Jerath and Kannan Srinivasan
Washington University in Saint Louis - John M. Olin Business School, Columbia University - Columbia Business School, Marketing and Carnegie Mellon University - David A. Tepper School of Business
Downloads 452 (111,305)
Citation 53

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platform, long-tail products, retailing, signaling, asymmetric information, pooling equilibrium

11.

Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

Number of pages: 53 Posted: 12 Jan 2021
Shunyuan Zhang, Elizabeth Friedman, Xupin Zhang, Kannan Srinivasan and Ravi Dhar
Harvard University - Business School (HBS), Columbia University - Columbia Business School, Marketing, University of Rochester, Carnegie Mellon University - David A. Tepper School of Business and Yale School of Management - International Center for Finance
Downloads 407 (125,819)
Citation 4

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E-commerce, Sharing Economy, Smile Effect, Gender Bias, Machine Learning, Facial Attributes, Airbnb Demand, Controlled Experiment

12.

The Beneficial Effects of Ad Blockers

Number of pages: 53 Posted: 11 Dec 2017
Stylianos Despotakis, R. Ravi and Kannan Srinivasan
City University of Hong Kong (CityU) - Department of Marketing, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 278 (189,707)
Citation 3

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ad blocking, ad sensitivity, ad intensity, competitive strategy, advertising, game theory

13.

Cross-Market Discounts

Number of pages: 49 Posted: 05 Dec 2009
Marcel Goic, Kinshuk Jerath and Kannan Srinivasan
Carnegie Mellon University - David A. Tepper School of Business, Columbia University - Columbia Business School, Marketing and Carnegie Mellon University - David A. Tepper School of Business
Downloads 262 (201,363)
Citation 2

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fuelperks, PowerPump, retail promotions, nonlinear pricing, competition, game theory

14.

Marketing Through the Machine’s Eyes: Image Analytics and Interpretability

Review of Marketing Research: Special Issue on Artificial Intelligence in Marketing (Forthcoming)
Number of pages: 39 Posted: 17 Sep 2022
Xiaohang (Flora) Feng, Shunyuan Zhang and Kannan Srinivasan
Carnegie Mellon University, Harvard University - Business School (HBS) and Carnegie Mellon University - David A. Tepper School of Business
Downloads 248 (212,565)

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Computer Vision, Visual Analytics, Deep Learning, Model Interpretability, Unstructured Data, Fairness in Marketing, Social Media

15.

Competitive Strategy for Open Source Software

Number of pages: 42 Posted: 17 Sep 2010 Last Revised: 10 Aug 2014
Vineet Kumar, Brett R. Gordon and Kannan Srinivasan
Harvard Business School, Northwestern University - Kellogg School of Management and Carnegie Mellon University - David A. Tepper School of Business
Downloads 228 (230,772)
Citation 2

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Open Source Software, Product Strategy, Signaling, Game Theory

16.

Linking Clicks to Bricks: Understanding the Effects of Email Advertising on Multichannel Sales

Number of pages: 32 Posted: 09 May 2018 Last Revised: 21 Nov 2023
Mi Zhou, Vibhanshu Abhishek, Edward Kennedy, Kannan Srinivasan and Ritwik Sinha
University of British Columbia (UBC) - Sauder School of Business, Carnegie Mellon University - H. John Heinz III School of Public Policy and Management, Carnegie Mellon University - Department of Statistics, Carnegie Mellon University - David A. Tepper School of Business and Adobe Systems, Inc.
Downloads 201 (259,344)
Citation 1

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Email advertising, multichannel retail, purchase funnel, doubly robust estimator

17.

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

18.

Competitive Poaching in Sponsored Search Advertising and Its Strategic Impact on Traditional Advertising

Number of pages: 50 Posted: 07 May 2012
Amin Sayedi, Kinshuk Jerath and Kannan Srinivasan
Carnegie Mellon University - David A. Tepper School of Business, Columbia University - Columbia Business School, Marketing and Carnegie Mellon University - David A. Tepper School of Business
Downloads 194 (267,741)
Citation 13

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Advertising channels, sponsored search, consumer purchase stages, game theory, auctions, poaching, bidding on trademark keywords

19.

Consumption Trends and the Warehouse Club Retail Format

Number of pages: 18 Posted: 26 Jun 2018 Last Revised: 12 Jul 2019
Anthony J. Dukes, Tansev Geylani and Kannan Srinivasan
University of Southern California - Marshall School of Business, University of Pittsburgh - Katz Graduate School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 187 (276,715)

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Pricing, Retailing, Warehouse Clubs, Consumption Trends, Economics

20.

Pricing and Persuasive Advertising in a Differentiated Market

Number of pages: 17 Posted: 11 Apr 2015
Baojun Jiang and Kannan Srinivasan
Washington University in Saint Louis - John M. Olin Business School and Carnegie Mellon University - David A. Tepper School of Business
Downloads 186 (277,996)

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competitive strategy, persuasive advertising, pricing, product differentiation, competition, marketing

21.

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 169 (302,153)

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

22.

Signaling Through Pricing by Service Providers with Social Preferences

Signaling Through Pricing by Service Providers with Social Preferences Baojun Jiang, Jian Ni, and Kannan Srinivasan, Marketing Science 2014, 33:5 , 641-654
Number of pages: 38 Posted: 17 Apr 2016
Baojun Jiang, Jian Ni and Kannan Srinivasan
Washington University in Saint Louis - John M. Olin Business School, Virginia Tech - Pamplin College of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 137 (359,029)
Citation 3

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social preference, signaling, credence goods, pricing, behavioral economics, asymmetric information

23.

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

24.

Matching in the Sourcing Market: A Structural Analysis of the Upstream Channel

Ni, Jian, and Kannan Srinivasan. "Matching in the Sourcing Market: A Structural Analysis of the Upstream Channel." Marketing Science 34.5 (2015): 722-738.
Number of pages: 47 Posted: 17 Apr 2016
Jian Ni and Kannan Srinivasan
Virginia Tech - Pamplin College of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 72 (552,616)
Citation 1

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Matching, sourcing, structural model, Bayesian estimation

25.

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

26.

Regulating Explainable AI (XAI) May Harm Consumers

Posted: 17 Oct 2023
Behnam Mohammadi, Nikhil Malik, Timothy Derdenger and Kannan Srinivasan
Carnegie Mellon University, David A. Tepper School of Business, Students, Marshall School of Business, USC, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business

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Machine Learning, Explainable AI, Economics of AI, Regulation, Fairness

27.

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

28.

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

29.

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

30.

Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants

Marketing Letters, Volume 8, Issue 3, pp 335-348, 1997
Posted: 09 Jun 2016
Wayne S. DeSarbo, Asim Ansari, Pradeep K. Chintagunta, Charles P. Himmelberg, Kamel Jedidi, Richard Johnson, Wagner A. Kamakura, Peter Lenk, Peter Lenk, Kannan Srinivasan and Michel Wedel
Pennsylvania State University, Columbia University - Columbia Business School, Marketing, University of Chicago, Goldman, Sachs & Co., Columbia University - Columbia Business School, Marketing, Sawtooth Software, Rice University, University of Michigan, Stephen M. Ross School of BusinessUniversity of Michigan, Carnegie Mellon University - David A. Tepper School of Business and University of Maryland - Robert H. Smith School of Business, Marketing Department

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Heterogeneity, latent structure models, cluster-wise regression, random coefficients models, compound distributions