Kannan Srinivasan

Carnegie Mellon University - David A. Tepper School of Business

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

United States

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

SCHOLARLY PAPERS

16

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CITATIONS
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17

Scholarly Papers (16)

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1.

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
Shunyuan Zhang, Dokyun Lee, 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 1,382 (12,271)

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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

2.

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 553 (45,366)
Citation 1

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

3.

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 512 (50,068)
Citation 10

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

4.

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 336 (83,411)
Citation 2

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

5.

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 226 (126,635)
Citation 1

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

6.

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 195 (145,665)
Citation 1

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Open Source Software, Product Strategy, Signaling, Game Theory

7.

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 147 (186,483)
Citation 1

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

8.

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 143 (190,703)
Citation 1

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

9.

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 115 (225,802)

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

10.

Linking Clicks to Bricks: Spillover Benefits of Online Advertising

Number of pages: 38 Posted: 09 May 2018
Mi Zhou, Vibhanshu Abhishek, Edward Kennedy, Kannan Srinivasan and Ritwik Sinha
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, Carnegie Mellon University - Department of Statistics, Carnegie Mellon University - David A. Tepper School of Business and Adobe Systems, Inc.
Downloads 110 (234,661)

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

11.

The Beneficial Effects of Ad Blockers

Number of pages: 53 Posted: 11 Dec 2017
Stylianos Despotakis, R. Ravi 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 95 (259,544)

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

12.

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 65 (322,146)

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

13.

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

Number of pages: 25 Posted: 25 Jul 2018
Nikhil Malik, Param Vir Singh, Dokyun Lee 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 52 (359,067)

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Bias, Beauty Premium, Machine Learning, Perception, Computer Vision

14.

Consumption Trends and the Warehouse Club Retail Format

Number of pages: 22 Posted: 26 Jun 2018 Last Revised: 07 Oct 2018
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 40 (399,333)

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Pricing, Retailing, Warehouse Clubs, Consumption Trends, Economics

15.

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 34 (422,773)

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Matching, sourcing, structural model, Bayesian estimation

16.

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, 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 Business, 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