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 40,138

SSRN RANKINGS

Top 40,138

in Total Papers Downloads

1,429

SSRN CITATIONS
Rank 41,104

SSRN RANKINGS

Top 41,104

in Total Papers Citations

6

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 888 (32,765)
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
HEC Paris, Goizueta Business School, Emory University and University of Texas at Austin - Department of Information, Risk and Operations Management
Downloads 350 (105,798)
Citation 3

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 121 (282,483)

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 34 (542,038)

Abstract:

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5.

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 18 (642,392)

Abstract:

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Marketing Research, Product Design, Performance, Decision Processes

6.

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 18 (642,392)

Abstract:

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Cluster Analysis, Constrained Optimization

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