Vijay Mahajan

University of Texas at Austin - Department of Information, Risk and Operations Management

Dean

Red McCombs School of Business

2100 Speedway, #B6600

Austin, TX 78712

United States

SCHOLARLY PAPERS

8

DOWNLOADS
Rank 39,602

SSRN RANKINGS

Top 39,602

in Total Papers Downloads

1,222

SSRN CITATIONS
Rank 42,100

SSRN RANKINGS

Top 42,100

in Total Papers Citations

3

CROSSREF CITATIONS

12

Scholarly Papers (8)

1.

How Much Anti-Piracy Effort is Too Much? - a Study of the Global Software Industry

McCombs Research Paper
Number of pages: 39 Posted: 26 Oct 2005
Bin Gu and Vijay Mahajan
Boston University - Department of Management Information Systems and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 756 (35,630)
Citation 8

Abstract:

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piracy, digital piracy, intellectual property, software, competition

2.

Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls

Number of pages: 50 Posted: 31 Jul 2017 Last Revised: 05 Sep 2019
Haris Krijestorac, Rajiv Garg and Vijay Mahajan
University of Texas at Austin, Red McCombs School of Business, Students, Goizueta Business School, Emory University and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 295 (112,763)
Citation 2

Abstract:

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spillover effect, quasi-experiments, synthetic control, information diffusion, viral marketing

3.

Dynamics and Peer Effects of Brand Revenue in College Sports

Number of pages: 42 Posted: 13 Mar 2015 Last Revised: 14 Mar 2015
Baruch College, City University of New York, University of Texas at Austin - Red McCombs School of Business, University of Texas at Austin and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 114 (263,649)

Abstract:

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Peer Effects, Brand Revenue, College Sports, Conference Switch, Bayesian Dynamic Linear Model, Bayesian Analysis

4.

The Impact of Product-Related Announcements on Consumer Purchase Intentions

Advances in Consumer Research, Vol. 17 Issue 1, pp. 342-350, 1990
Number of pages: 10 Posted: 01 Jun 2016
University of Pennsylvania - The Wharton School, Arizona State University (ASU), Pennsylvania State University and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 27 (524,056)

Abstract:

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5.

Constrained Classification: The Use of a Priori Information in Cluster Analysis

PSYCHOMETRIKA--VOL. 49, NO. 2, 187--215
Number of pages: 29 Posted: 24 May 2016
Wayne S. DeSarbo and Vijay Mahajan
Pennsylvania State University and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 16 (592,673)

Abstract:

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Cluster Analysis, Constrained Optimization

6.

On the Creation of Acceptable Conjoint Analysis Experimental Designs

Decision Sciences, Volume 22, Issue 2, pages 435–442
Number of pages: 8 Posted: 01 Jun 2016
Joel Steckel, Wayne S. DeSarbo and Vijay Mahajan
New York University (NYU) - Department of Marketing, Pennsylvania State University and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 14 (606,154)

Abstract:

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Marketing Research, Product Design, Performance, Decision Processes

7.

Beating the Recession Blues: Exploring the Link between Family Ownership, Strategic Marketing Behavior, and Firm Performance During Recessions

Posted: 18 Aug 2013
Saim Kashmiri and Vijay Mahajan
University of Mississippi - School of Business Administration and University of Texas at Austin - Department of Information, Risk and Operations Management

Abstract:

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Family firms, Recession, Advertising intensity, Innovation, Corporate social responsibility

8.

Managing Electronic Commerce Transaction Costs for Customer Value

Decision Support Systems, Vol. 42, No. 2, pp. 898-914, November 2006
Posted: 23 Jan 2007
Alina Chircu and Vijay Mahajan
University of Texas at Austin - Red McCombs School of Business - IROM Department and University of Texas at Austin - Department of Information, Risk and Operations Management

Abstract:

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Customer value, Electronic commerce, Internet, E-tailers, Retailers, Transaction costs