Venkatram Ramaswamy

University of Michigan, Stephen M. Ross School of Business

Associate Professor of Marketing

701 Tappan Street

Ann Arbor, MI MI 48109-1234

United States

SCHOLARLY PAPERS

17

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3,784

CITATIONS
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in Total Papers Citations

10

Scholarly Papers (17)

1.

Customer Satisfaction for Financial Services: The Role of Products, Services, and Information Technology

Ross School of Business Paper No. 99-004
Number of pages: 42 Posted: 07 May 1999
Mayuram S. Krishnan, Venkatram Ramaswamy, Mary C. Meyer and Paul Damien
University of Michigan, Stephen M. Ross School of Business, University of Michigan, Stephen M. Ross School of Business, University of Georgia - Department of Statistics and University of Texas at Austin - McCombs School of Business
Downloads 3,481 (2,763)
Citation 11

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2.

Re-thinking the Concept of Surplus: Embracing Co-Creation Experiences in Economics

Ross School of Business Paper No. 1188
Number of pages: 22 Posted: 10 Jul 2013 Last Revised: 14 Aug 2014
Avik Chakrabarti and Venkatram Ramaswamy
University of Wisconsin - Milwaukee and University of Michigan, Stephen M. Ross School of Business
Downloads 100 (261,980)
Citation 1

Abstract:

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co-creation experience economics, co-creation possibilities set, co-creation possibilities frontier, co-creative surplus, gains from co-creation, principle of co-creative advantage

3.

Rethinking Ricardian 'Sum of Enjoyments': Gains from Trade in a Co-Creational Economy

Ross School of Business Paper No. 1211
Number of pages: 31 Posted: 19 Nov 2013 Last Revised: 14 May 2015
Avik Chakrabarti and Venkatram Ramaswamy
University of Wisconsin - Milwaukee and University of Michigan, Stephen M. Ross School of Business
Downloads 70 (325,376)

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Co-creational experience Economics, Specialization through Co- Creation, Diversification through Co-Creation, Gains from Trade through Co-Creation, Principle of Comparative Co-Creational Advantage

4.

CRISP: Customer Response Based Iterative Segmentation Procedures for Response Modeling in Direct Marketing

Journal of Direct Marketing, Volume 8, Issue 3, pages 7–20, 1994
Number of pages: 14 Posted: 06 Jun 2016
Wayne S. DeSarbo and Venkatram Ramaswamy
Pennsylvania State University and University of Michigan, Stephen M. Ross School of Business
Downloads 34 (443,693)

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5.

An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data

Marketing Science, 12:1 , 103-124 (1993)
Number of pages: 22 Posted: 04 Jun 2016
University of Michigan, Stephen M. Ross School of Business, Pennsylvania State University, Marketing Science Institute and University of Michigan, Stephen M. Ross School of Business
Downloads 30 (461,698)
Citation 7

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econometric models, regression and other statistical techniques, marketing mix, competitive strategy

6.

A Maximum Likelihood Method for Latent Class Regression Involving a Censored Dependent Variable

Psychometrika, Volume 58, Issue 3, pp 375-394 (1993)
Number of pages: 20 Posted: 04 Jun 2016
Kamel Jedidi, Venkatram Ramaswamy and Wayne S. DeSarbo
Columbia Business School - Marketing, University of Michigan, Stephen M. Ross School of Business and Pennsylvania State University
Downloads 15 (544,400)
Citation 5

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censored regression, latent class analysis, maximum likelihood estimation, consumer psychology

7.

Latent Class Metric Conjoint Analysis

Marketing Letters, Volume 3, Issue 3, pp 273-288 (1992)
Number of pages: 16 Posted: 04 Jun 2016
Wayne S. DeSarbo, Michel Wedel, Marco Vriens and Venkatram Ramaswamy
Pennsylvania State University, University of Maryland - Robert H. Smith School of Business, Marketing Department, Microsoft Corporation and University of Michigan, Stephen M. Ross School of Business
Downloads 13 (556,281)
Citation 12

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Conjoint Analysis, Mixtures of Distributions, Marketing Research, E-M Algorithm, Remote Entry Devices

8.

SCULPTRE: A New Methodology for Deriving and Analyzing Hierarchical Product-Market Structures from Panel Data

Journal of Marketing Research, Vol. 27, No. 4, pp. 418-427, 1990
Number of pages: 11 Posted: 02 Jun 2016
Venkatram Ramaswamy and Wayne S. DeSarbo
University of Michigan, Stephen M. Ross School of Business and Pennsylvania State University
Downloads 11 (568,516)
Citation 4

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9.

Analyzing Constant-Sum Multiple Criterion Data: A Segment-Level Approach

Journal of Marketing Research Vol. 32, No. 2, pp. 222-232
Number of pages: 12 Posted: 08 Jun 2016
Wayne S. DeSarbo, Venkatram Ramaswamy and Rabikar Chatterjee
Pennsylvania State University, University of Michigan, Stephen M. Ross School of Business and University of Pittsburgh
Downloads 10 (574,693)
Citation 2

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10.

A Disaggregate Negative Binomial Regression Procedure for Count Data Analysis

Management Science, Vol. 40, No. 3, pp. 405-417, 1994
Number of pages: 14 Posted: 06 Jun 2016
Venkatram Ramaswamy, Eugene Anderson and Wayne S. DeSarbo
University of Michigan, Stephen M. Ross School of Business, University of Michigan at Ann Arbor and Pennsylvania State University
Downloads 10 (574,693)
Citation 2

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negative binomial regression, count data, stochastic models, maximum likelihood, E-M algorithm

11.

A Spatial Interaction Model for Deriving Joint Space Maps of Bundle Compositions and Market Segments from Pick-Any/J Data: An Application to New Product Options

Marketing Letters, Volume 7, Issue 2, pp 131-145
Number of pages: 15 Posted: 08 Jun 2016
Pennsylvania State University, University of Michigan, Stephen M. Ross School of Business, University of Maryland - Robert H. Smith School of Business, Marketing Department and University of Groningen - Department of Marketing & Marketing Research
Downloads 5 (606,495)

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12.

A Latent Class Procedure for the Structural Analysis of Two-Way Compositional Data

Journal of Classification, Volume 10, Issue 2, pp 159-193 (1993)
Number of pages: 35 Posted: 04 Jun 2016
Wayne S. DeSarbo, Venkatram Ramaswamy and Peter Lenk
Pennsylvania State University, University of Michigan, Stephen M. Ross School of Business and University of Michigan, Stephen M. Ross School of Business
Downloads 5 (606,495)
Citation 2

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Compositional data, Finite mixture distributions, Cluster analysis, Multidimensional scaling, E-M algorithm, Latent class analysis

13.

On Estimating Finite Mixtures of Multivariate Regression and Simultaneous Equation Models

Structural Equation Modeling, Volume 3, Issue 3, pp. 266-289
Posted: 08 Jun 2016
Kamel Jedidi, Venkatram Ramaswamy, Wayne S. DeSarbo and Michel Wedel
Columbia Business School - Marketing, University of Michigan, Stephen M. Ross School of Business, Pennsylvania State University and University of Maryland - Robert H. Smith School of Business, Marketing Department

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14.

Deriving Joint Space Maps of Bundle Compositions and Market Segments: An Application to New Product Options

Marketing Science Institute Technical Working Paper, Report No. 96-122
Posted: 08 Jun 2016
Pennsylvania State University, University of Michigan, Stephen M. Ross School of Business, University of Maryland - Robert H. Smith School of Business, Marketing Department and University of Groningen - Department of Marketing & Marketing Research

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15.

Market Segmentation with Choice-Based Conjoint Analysis

Marketing Letters, Volume 6, Issue 2, pp 137-147
Posted: 08 Jun 2016
Wayne S. DeSarbo, Venkatram Ramaswamy and Steven Cohen
Pennsylvania State University, University of Michigan, Stephen M. Ross School of Business and Stratford Associates

Abstract:

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Choice experiments, conjoint analysis, market segmentation

16.

A Latent Class Poisson Regression Model for Heterogeneous Count Data

Journal of Applied Econometrics, Vol. 8, No. 4, pp. 397-411
Posted: 06 Jun 2016
Michel Wedel, Wayne S. DeSarbo and Venkatram Ramaswamy
University of Maryland - Robert H. Smith School of Business, Marketing Department, Pennsylvania State University and University of Michigan, Stephen M. Ross School of Business

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17.

A New Stochastic Ultrametric Tree Unfolding Methodology for Assessing Competitive Market Structure and Deriving Market Segments

APPLIED STOCHASTIC MODELS AND DATA ANALYSIS, VOL. 4, 185-204
Posted: 30 May 2016
Wayne S. DeSarbo, Geert De Soete, J. Carroll and Venkatram Ramaswamy
Pennsylvania State University, Ghent University-Universiteit Gent, Rutgers, The State University of New Jersey (Deceased) and University of Michigan, Stephen M. Ross School of Business

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Market structure analysis, Preference trees, Paired comparisons, Ultrametric trees, Maximum likelihood