kannan srinivasan

kannan srinivasan

Carnegie Mellon University

H-index: 57

North America-United States

About kannan srinivasan

kannan srinivasan, With an exceptional h-index of 57 and a recent h-index of 35 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Marketing, pricing, promotion, technology.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Bias in Generative AI

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

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

Bias in generative ai,(work in progress)

Unequal Impact of Zestimate on the Housing Market

Frontiers: Unmasking Social Compliance Behavior During the Pandemic

How Do Fast-Fashion Copycats Affect the Popularity of Premium Brands? Evidence from Social Media

kannan srinivasan Information

University

Position

Professor

Citations(all)

14062

Citations(since 2020)

4390

Cited By

11259

hIndex(all)

57

hIndex(since 2020)

35

i10Index(all)

94

i10Index(since 2020)

74

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

kannan srinivasan Skills & Research Interests

Marketing

pricing

promotion

technology

Top articles of kannan srinivasan

Title

Journal

Author(s)

Publication Date

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

Available at SSRN 3168028

Mi Zhou

Vibhanshu Abhishek

Edward Kennedy

Kannan Srinivasan

Ritwik Sinha

2021

Bias in Generative AI

arXiv preprint arXiv:2403.02726

Mi Zhou

Vibhanshu Abhishek

Timothy Derdenger

Jaymo Kim

Kannan Srinivasan

2024/3/5

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

Shunyuan Zhang

Kannan Srinivasan

2023/3/13

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

Mis-specified Demand Model and Algorithmic Bias in Personalized Pricing (June 15, 2023)

Qiaochu Wang

Yan Huang

Param Vir Singh

Kannan Srinivasan

2023/6/15

Bias in generative ai,(work in progress)

Mi Zhou

Vibhanshu Abhishek

Kannan Srinivasan

2023

Unequal Impact of Zestimate on the Housing Market

Available at SSRN

Runshan Fu

Yan Huang

Nitin Mehta

Param Vir Singh

Kannan Srinivasan

2023/6/15

Frontiers: Unmasking Social Compliance Behavior During the Pandemic

Marketing Science

Shunyuan Zhang

Kaiquan Xu

Kannan Srinivasan

2023/5

How Do Fast-Fashion Copycats Affect the Popularity of Premium Brands? Evidence from Social Media

Journal of Marketing Research

Zijun Shi

Xiao Liu

Dokyun Lee

Kannan Srinivasan

2023/12

Design of platform reputation systems: Optimal information disclosure

Marketing Science

Zijun Shi

Kannan Srinivasan

Kaifu Zhang

2023/5

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

Available at SSRN

Shunyuan Zhang

Nitin Mehta

Param Vir Singh

Kannan Srinivasan

2023/9/30

Algorithms, artificial intelligence and simple rule based pricing

Available at SSRN 4144905

Qiaochu Wang

Yan Huang

Param Vir Singh

Kannan Srinivasan

2023/4/14

How Much Should We Trust LLM Results for Marketing Research?

Available at SSRN 4526072

Liying Qiu

Param Vir Singh

Kannan Srinivasan

2023/7/17

What makes a good image? Airbnb demand analytics leveraging interpretable image features

Management Science

Shunyuan Zhang

Dokyun Lee

Param Vir Singh

Kannan Srinivasan

2022/8

“Un” fair machine learning algorithms

Management Science

Runshan Fu

Manmohan Aseri

Param Vir Singh

Kannan Srinivasan

2022/6

Hype news diffusion and risk of misinformation: The Oz effect in health care

Journal of Marketing Research

Zijun Shi

Xiao Liu

Kannan Srinivasan

2022/4

Market shifts in the sharing economy: The impact of Airbnb on housing rentals

Management Science

Hui Li

Yijin Kim

Kannan Srinivasan

2022/11

Why bitcoin will fail to scale?

Management Science

Nikhil Malik

Manmohan Aseri

Param Vir Singh

Kannan Srinivasan

2022/10

Sell Me the Blackbox! Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers

arXiv preprint arXiv:2209.03499

Behnam Mohammadi

Nikhil Malik

Tim Derdenger

Kannan Srinivasan

2022/9/7

An AI method to score celebrity visual potential from human faces

Shunyuan and Liu, Xiao and Srinivasan, Kannan and Lamberton, Cait Poynor, An AI Method to Score Celebrity Visual Potential from Human Faces (May 1, 2021)

Xiaohang Flora Feng

Shunyuan Zhang

Xiao Liu

Kannan Srinivasan

Cait Poynor Lamberton

2021/5/1

Strategic Implications of Binge Consumption for Entertainment Goods: an Analysis of AVOD Services

Franco Berbeglia

Timothy Derdenger

Kannan Srinivasan

Joseph Xu

2021/4

See List of Professors in kannan srinivasan University(Carnegie Mellon University)

Co-Authors

H-index: 73
Pradeep Chintagunta

Pradeep Chintagunta

University of Chicago

H-index: 65
Scott A. Neslin

Scott A. Neslin

Dartmouth College

H-index: 22
John C. Liechty

John C. Liechty

Penn State University

H-index: 20
Gurumurthy Kalyanaram

Gurumurthy Kalyanaram

Massachusetts Institute of Technology

H-index: 18
Brett R. Gordon

Brett R. Gordon

Northwestern University

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