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

Author

Listed:
  • Edward E. Rigdon

    (Department of Marketing, J. Mack Robinson College of Business, Georgia State University, Atlanta, Georgia 30303)

  • Jan-Michael Becker

    (Department of Marketing and Brand Management, University of Cologne, Cologne 50923, Germany)

  • Arun Rai

    (Center for Process Innovation and Department of Computer Information Systems, J. Mack Robinson College of Business, Georgia State University, Atlanta, Georgia 30303)

  • Christian M. Ringle

    (Institute of Human Resource Management and Organizations, Hamburg University of Technology (TUHH), Hamburg 21073, Germany; and University of Newcastle, Newcastle, NSW 2308, Australia)

  • Adamantios Diamantopoulos

    (Chair of International Marketing, University of Vienna, 1090 Vienna, Austria)

  • Elena Karahanna

    (Department of Management Information Systems, Terry College of Business, University of Georgia, Athens, Georgia 30602)

  • Detmar W. Straub

    (Professor, Georgia State University, Atlanta, Georgia 30303; Visiting Professor, Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122; and Visiting Professor, Korea University Business School, Korea University, Seoul 136-701, Korea)

  • Theo K. Dijkstra

    (University of Groningen, 9712 CP Groningen, The Netherlands)

Abstract

Aguirre-Urreta and Marakas [Aguirre-Urreta MI, Marakas GM (2014) Research note—Partial least squares and models with formatively specified endogenous constructs: A cautionary note . Inform. Systems Res. 25(4):761--778] aim to evaluate the performance of partial least squares (PLS) path modeling when estimating models with formative endogenous constructs, but their ability to reach valid conclusions is compromised by three major flaws in their research design. First, their population data generation model does not represent “formative measurement” as researchers generally understand that term. Second, their design involves a PLS path model that is misspecified with respect to their population model. Third, although their aim is to estimate a composite-based PLS path model, their design uses simulation data generated via a factor analytic procedure. In consequence of these flaws, Aguirre-Urreta and Marakas' (2014) study does not support valid inference about the behavior of PLS path modeling with respect to endogenous formatively measured constructs.

Suggested Citation

  • Edward E. Rigdon & Jan-Michael Becker & Arun Rai & Christian M. Ringle & Adamantios Diamantopoulos & Elena Karahanna & Detmar W. Straub & Theo K. Dijkstra, 2014. "Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas," Information Systems Research, INFORMS, vol. 25(4), pages 780-784, December.
    • Handle: RePEc:inm:orisre:v:25:y:2014:i:4:p:780-784
    DOI: 10.1287/isre.2014.0543
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    References listed on IDEAS

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    1. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
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    1. Christian Nitzl & Dennis Hilgers & Bernhard Hirsch & David Lindermüller, 2020. "The Influence of the Organizational Structure, Environment, and Resource Provision on the Use of Accrual Accounting in Municipalities," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(2), pages 271-298, April.
    2. Rigdon, Edward E., 2016. "Choosing PLS path modeling as analytical method in European management research: A realist perspective," European Management Journal, Elsevier, vol. 34(6), pages 598-605.
    3. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    4. Miguel I. Aguirre-Urreta & George M. Marakas, 2014. "A Rejoinder to Rigdon et al. (2014)," Information Systems Research, INFORMS, vol. 25(4), pages 785-788, December.
    5. Jessica Braojos & Jose Benitez & Javier Llorens & Laura Ruiz, 2020. "Impact of IT integration on the firm’s knowledge absorption and desorption," Post-Print hal-03160729, HAL.
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    7. Cepeda Carrión, Gabriel & Henseler, Jörg & Ringle, Christian M. & Roldán, José Luis, 2016. "Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section," Journal of Business Research, Elsevier, vol. 69(10), pages 4545-4551.
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    9. Liu, Yuqing & Schuberth, Florian & Liu, Yide & Henseler, Jörg, 2022. "Modeling and assessing forged concepts in tourism and hospitality using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 152(C), pages 221-230.
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