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

22

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81

CROSSREF CITATIONS

34

Scholarly Papers (22)

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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, Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
Harvard UniversityHarvard 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 4,779 (2,269)
Citation 17

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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, Shunyuan Zhang, Nitin Mehta, Param Vir Singh and Kannan Srinivasan
Harvard UniversityHarvard 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 823 (37,485)
Citation 2

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

3.

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 589 (58,271)
Citation 12

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

4.

'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 581 (59,535)
Citation 3

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

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, 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 531 (66,348)
Citation 21

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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, Nikhil Malik, Param Vir Singh and Kannan Srinivasan
Marshall Business School, USCCarnegie 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 411 (90,375)
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

7.

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 and Carnegie Mellon University - David A. Tepper School of Business
Downloads 386 (97,158)
Citation 28

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

8.

Why Bitcoin Will Fail to Scale?

Number of pages: 69 Posted: 04 Feb 2019 Last Revised: 15 Apr 2021
Nikhil Malik, Nikhil Malik, Manmohan Aseri, Param Vir Singh and Kannan Srinivasan
Marshall Business School, USCCarnegie Mellon University - David A. Tepper 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 311 (123,811)
Citation 2

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

9.

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 and Carnegie Mellon University - David A. Tepper School of Business
Downloads 235 (164,158)
Citation 1

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

10.

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 205 (186,749)
Citation 2

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Open Source Software, Product Strategy, Signaling, Game Theory

11.

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 201 (190,191)
Citation 3

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

12.

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 189 (201,046)

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

13.

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, Shunyuan Zhang, Elizabeth Friedman, Xupin Zhang, Kannan Srinivasan and Ravi Dhar
Harvard UniversityHarvard 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 175 (215,010)
Citation 2

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

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 and Carnegie Mellon University - David A. Tepper School of Business
Downloads 169 (221,510)
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 158 (234,546)

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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 151 (243,420)
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 125 (282,045)

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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 90 (354,702)
Citation 3

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

19.

Risk sensitivity or social signaling? Unmasking Behaviors with Video Analytics.

Number of pages: 24 Posted: 28 Jun 2021 Last Revised: 06 Jul 2021
Shunyuan Zhang, Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
Harvard UniversityHarvard University - Business School (HBS), Nanjing University and Carnegie Mellon University - David A. Tepper School of Business
Downloads 60 (448,606)

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video analytics, in-store shopping, mask, sensitivity to risk, social perception, COVID-19

20.

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 50 (479,536)
Citation 1

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Matching, sourcing, structural model, Bayesian estimation

21.

Linking Clicks to Bricks: Spillover Benefits of Email Advertising on Offline Sales

Posted: 09 May 2018 Last Revised: 02 Nov 2020
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.

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online advertising, offline sales, email ads, doubly robust estimator, machine learning, causal inference

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
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 Business School - Marketing, University of Chicago, Goldman, Sachs & Co., 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