Kannan Srinivasan

Carnegie Mellon University - David A. Tepper School of Business

Professor

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

United States

SCHOLARLY PAPERS

22

DOWNLOADS
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SSRN RANKINGS

Top 4,232

in Total Papers Downloads

13,364

SSRN CITATIONS
Rank 10,496

SSRN RANKINGS

Top 10,496

in Total Papers Citations

81

CROSSREF CITATIONS

36

Scholarly Papers (22)

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 6,133 (1,751)
Citation 22

Abstract:

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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 1,472 (18,230)
Citation 2

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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
Carnegie Mellon University, 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 844 (40,862)
Citation 3

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

4.

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 604 (63,313)
Citation 12

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

5.

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 536 (73,622)
Citation 21

Abstract:

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

6.

A Dynamic Analysis of Beauty Premium

Number of pages: 115 Posted: 25 Jul 2018 Last Revised: 08 Jun 2020
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 532 (74,313)
Citation 1

Abstract:

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

7.

Why Bitcoin Will Fail to Scale?

Number of pages: 69 Posted: 04 Feb 2019 Last Revised: 15 Apr 2021
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 477 (84,850)
Citation 2

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

8.

Voice Analytics of Online Influencers—Soft Selling in Branded Videos

Number of pages: 50 Posted: 18 Feb 2021
Serim Hwang, Xiao Liu and Kannan Srinivasan
Carnegie Mellon University, New York University (NYU) - Leonard N. Stern School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 457 (89,338)

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influencer marketing, social media advertisements, FTC, instrumental variable approach, regression discontinuity approach, voice analytics, affective computing, image recognition

9.

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 415 (99,847)
Citation 28

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

10.

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
Harvard University - Business School (HBS), Columbia University - Columbia Business School, University of Rochester, Carnegie Mellon University - David A. Tepper School of Business and Yale School of Management - International Center for Finance
Downloads 287 (149,406)
Citation 2

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

11.

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 243 (176,152)
Citation 1

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

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 231 (184,929)
Citation 3

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

13.

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 211 (201,398)
Citation 2

Abstract:

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Open Source Software, Product Strategy, Signaling, Game Theory

14.

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 175 (237,709)
Citation 13

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

15.

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 164 (251,032)

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

16.

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 159 (257,775)
Citation 1

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

17.

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 136 (291,761)

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Pricing, Retailing, Warehouse Clubs, Consumption Trends, Economics

18.

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, Johns Hopkins University - Carey Business School and Carnegie Mellon University - David A. Tepper School of Business
Downloads 102 (357,890)
Citation 3

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

19.

An AI Method to Score Celebrity Visual Potential from Human Faces

Number of pages: 88 Posted: 08 Apr 2022 Last Revised: 25 Apr 2022
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 80 (415,493)

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

20.

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

Number of pages: 41 Posted: 09 May 2018 Last Revised: 27 Dec 2021
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 55 (503,182)
Citation 1

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email advertising, omnichannel retail, doubly robust estimator, machine learning, causal inference

21.

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
Johns Hopkins University - Carey Business School and Carnegie Mellon University - David A. Tepper School of Business
Downloads 51 (520,266)
Citation 1

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Matching, sourcing, structural model, Bayesian estimation

22.

Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants

Marketing Letters, Volume 8, Issue 3, pp 335-348, 1997
Posted: 09 Jun 2016
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