Edward Rigdon

Georgia State University - J. Mack Robinson College of Business

Professor of Marketing

P.O. Box 4050

Atlanta, GA 30303-3083

United States

  • Georgia State University - J. Mack Robinson College of Business

SCHOLARLY PAPERS

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Scholarly Papers (4)

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1.

On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations

Marketing ZFP
Posted: 03 Mar 2018
Christian M. Ringle, Edward Rigdon and Marko Sarstedt
Hamburg University of Technology (TUHH), Georgia State University - J. Mack Robinson College of Business and Otto-von-Guericke-Universität Magdeburg

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2.

Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas

Information Systems Research, Vol. 25, No. 4, pp. 780-784, 2014
Posted: 14 Jun 2017
Edward Rigdon, Jan-Michael Becker, Arun Rai, Christian M. Ringle, A. Diamantopoulos, Elena Karahanna, Detmar Straub and Theo Klaas Dijkstra
Georgia State University - J. Mack Robinson College of Business, University of Cologne - Department of Marketing and Brand Management, Georgia State University - J. Mack Robinson College of Business, Hamburg University of Technology (TUHH), Independent, University of Georgia - C. Herman and Mary Virginia Terry College of Business, Georgia State University and Independent

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Formative indicators, Partial least squares, Endogenous constructs

3.

Assessing Heterogeneity in Customer Satisfaction Studies: Across Industry Similarities and within Industry Differences

Measurement and Research Methods in International Marketing, Advances in International Marketing, Vol. 22, pp. 169-194, 2011
Posted: 24 Jan 2014
Edward Rigdon, Christian M. Ringle, Marko Sarstedt and Siegfried Gudergan
Georgia State University - J. Mack Robinson College of Business, Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and University of Technology Sydney (UTS)

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american customer satisfaction index (ACSI) model, partial least squares (PLS) path modeling, unobserved heterogeneity, multigroup analysis, important-performance matrix

4.

Structural Modeling of Heterogeneous Data with Partial Least Squares

Review of Marketing Research, Vol. 7, pp. 255-296, 2010
Posted: 24 Jan 2014
Edward Rigdon, Christian M. Ringle and Marko Sarstedt
Georgia State University - J. Mack Robinson College of Business, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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partial least squares, heterogeneity, clustering, finite mixture modeling, market segmentation, customer satisfaction, reputation