Imran S. Currim

Independent

SCHOLARLY PAPERS

4

DOWNLOADS

430

SSRN CITATIONS

3

CROSSREF CITATIONS

5

Scholarly Papers (4)

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1.

Consumer Perceptions of Promotional Activity

Journal of Marketing, Vol. 55, p. 4, 1991
Number of pages: 13 Posted: 20 Jan 2015
Aradhna Krishna, Imran S. Currim and Robert Shoemaker
University of Michigan, Stephen M. Ross School of Business, Independent and New York University (NYU) - Leonard N. Stern School of Business
Downloads 386 (119,545)
Citation 2

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2.

Reference Dependence and Conjoint Analysis

Review of Marketing Science, Forthcoming
Number of pages: 32 Posted: 03 Aug 2012
Brennan Davis, Imran S. Currim and Rakesh K. Sarin
California State Polytechnic University, San Luis Obispo - Orfalea College of Business, Independent and University of California, Los Angeles (UCLA) - Decisions, Operations, and Technology Management (DOTM) Area
Downloads 44 (617,299)

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reference dependence, conjoint analysis

3.

Evaluation Set Size and Purchase: Evidence from a Product Search Engine

Choudhary, Vidyanand, Currim, Imran S., Dewan, Sanjeev, Jeliazkov, Ivan, Mintz, Ofer and Turner, John, Evaluation Set Size and Purchase: Evidence from a Product Search Engine (July 3, 2016), Journal of Interactive Marketing.
Posted: 14 Aug 2016 Last Revised: 09 Dec 2016
Vidyanand Choudhary, Imran S. Currim, Sanjeev Dewan, Ivan Jeliazkov, John Turner and Ofer Mintz
University of California, Irvine - Information Systems Area, Independent, University of California, Irvine - Paul Merage School of Business, Independent, University of California, Irvine - Paul Merage School of Business and University of Technology Sydney Business School

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Evaluation Set Size, Purchase, Product Search Engines, Copula Model, E-Commerce, Bayesian Estimation

4.

Information Processing Pattern and Propensity to Buy: An Investigation of Online Point-of-Purchase Behavior

Marketing Science, Vol. 32, No. 5, 2013; pp. 716-732; DOI: 10.1287/mksc.2013.0790
Posted: 13 Nov 2013
Ofer Mintz, Imran S. Currim and Ivan Jeliazkov
University of Technology Sydney Business School, Independent and Independent

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information processing, discrete choice, Markov chain Monte Carlo (MCMC), digital strategy