IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v154y2021i2d10.1007_s11205-020-02563-w.html
   My bibliography  Save this article

Higher-Order PLS-PM Approach for Different Types of Constructs

Author

Listed:
  • Corrado Crocetta

    (University of Foggia)

  • Laura Antonucci

    (University of Foggia)

  • Rosanna Cataldo

    (University “Federico II”)

  • Roberto Galasso

    (University “Federico II”)

  • Maria Gabriella Grassia

    (University “Federico II”)

  • Carlo Natale Lauro

    (University “Federico II”)

  • Marina Marino

    (University “Federico II”)

Abstract

Partial least squares path modeling (PLS-PM) has become very popular in recent years, for measuring concepts that depend on different aspects and that are based on different types of relationships. PLS-PM represents a useful tool to explore relationships and to analyze the influence of the different aspects on the complex phenomenon analyzed. In particular, the use of higher-order constructs has allowed researchers to extend the application of PLS-PM to more advanced and complex models. In this work, our attention is focused on higher-order constructs that include reflective or formative relationships. Even if the dispute between formative models and reflective models is not exactly recent, it is still alive in current literature, for the most part within the context of structural equation models. This paper focuses attention on theoretical and mathematical differences between formative and reflective measurement models within the context of the PLS-PM approach. A simulation study is proposed in order to show how these approaches fit well in different modeling situations. The approaches have been compared using empirical application in a sustainability context. The findings from the simulation and the empirical application can help researchers to estimate and to use the higher-order PLS-PM approach in reflective and formative type models.

Suggested Citation

  • Corrado Crocetta & Laura Antonucci & Rosanna Cataldo & Roberto Galasso & Maria Gabriella Grassia & Carlo Natale Lauro & Marina Marino, 2021. "Higher-Order PLS-PM Approach for Different Types of Constructs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 725-754, April.
    • Handle: RePEc:spr:soinre:v:154:y:2021:i:2:d:10.1007_s11205-020-02563-w
    DOI: 10.1007/s11205-020-02563-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-020-02563-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11205-020-02563-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rosanna Cataldo & Maria Gabriella Grassia & Natale Carlo Lauro & Marina Marino, 2017. "Developments in Higher-Order PLS-PM for the building of a system of Composite Indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 657-674, March.
    2. Laura Eboli & Carmen Forciniti & Gabriella Mazzulla, 2018. "Formative and reflective measurement models for analysing transit service quality," Public Transport, Springer, vol. 10(1), pages 107-127, May.
    3. Matteo Mazziotta & Adriano Pareto, 2019. "Use and Misuse of PCA for Measuring Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 451-476, April.
    4. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
    5. Coltman, Tim & Devinney, Timothy M. & Midgley, David F. & Venaik, Sunil, 2008. "Formative versus reflective measurement models: Two applications of formative measurement," Journal of Business Research, Elsevier, vol. 61(12), pages 1250-1262, December.
    6. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    7. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    8. Natale Carlo Lauro & Maria Gabriella Grassia & Rosanna Cataldo, 2018. "Model Based Composite Indicators: New Developments in Partial Least Squares-Path Modeling for the Building of Different Types of Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 421-455, January.
    9. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    10. Matteo Mazziotta, Adriano Pareto, 2013. "Methods For Constructing Composite Indices: One For All Or All For One?," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(2), pages 67-80, April-Jun.
    11. Jun-Hwa Cheah & Hiram Ting & T. Ramayah & Mumtaz Ali Memon & Tat-Huei Cham & Enrico Ciavolino, 2019. "A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism research," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1421-1458, May.
    12. Enrico Ciavolino & Maurizio Carpita & Mariangela Nitti, 2015. "High-order PLS path model with qualitative external information," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1609-1620, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Castaldo, Sandro & Ciacci, Andrea & Penco, Lara & Profumo, Giorgia, 2024. "Which trust layer better counterbalances the risk impact on travel intentions in a crisis scenario?," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    2. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
    3. Uroš Zabukovšek & Polona Tominc & Samo Bobek, 2023. "Business IT Alignment Impact on Corporate Sustainability," Sustainability, MDPI, vol. 15(16), pages 1-37, August.
    4. Kristina Peštović & Nikola Milicevic & Nenad Djokic & Ines Djokic, 2021. "Audit Service Quality Perceived by Customers: Formative Modelling Measurement Approach," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    5. Hani Al-Dmour, 2023. "Green-Smart University Campuses: The Mediating Role of Student Engagement in Enhancing Corporate Image," SAGE Open, , vol. 13(4), pages 21582440231, December.
    6. Chan, Vanessa Hiu Ying & Chiu, Dickson K.W. & Ho, Kevin K.W., 2022. "Mediating effects on the relationship between perceived service quality and public library app loyalty during the COVID-19 era," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    7. Laura Grassini & Alessandro Magrini & Enrico Conti, 2023. "Formative-reflective scheme for the assessment of tourism destination competitiveness: an analysis of Italian municipalities," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3523-3548, August.
    8. Ines Djokic & Nikola Milicevic & Nenad Djokic & Borka Malcic & Branimir Kalas, 2024. "Students’ Perceptions of the Use of Artificial Intelligence in Educational Service," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(65), pages 294-294, February.
    9. Maurizio Carpita & Paola Pasca & Serena Arima & Enrico Ciavolino, 2023. "Clustering of variables methods and measurement models for soccer players’ performances," Annals of Operations Research, Springer, vol. 325(1), pages 37-56, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rosanna Cataldo & Corrado Crocetta & Maria Gabriella Grassia & Natale Carlo Lauro & Marina Marino & Viktoriya Voytsekhovska, 2021. "Methodological PLS-PM Framework for SDGs System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 701-723, August.
    2. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    3. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    4. Matteo Mazziotta & Adriano Pareto, 2019. "Use and Misuse of PCA for Measuring Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 451-476, April.
    5. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Grenoble Ecole de Management (Post-Print) halshs-01923271, HAL.
    6. Venera Tomaselli & Mario Fordellone & Maurizio Vichi, 2021. "Building Well-Being Composite Indicator for Micro-Territorial Areas Through PLS-SEM and K-Means Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 407-429, January.
    7. Giulio Giacomo Cantone, 2024. "How to measure interdisciplinary research? A systemic design for the model of measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(8), pages 4937-4982, August.
    8. Radosevic, Slavo & Yoruk, Esin, 2013. "Entrepreneurial propensity of innovation systems: Theory, methodology and evidence," Research Policy, Elsevier, vol. 42(5), pages 1015-1038.
    9. Sarstedt, Marko & Wilczynski, Petra & Melewar, T.C., 2013. "Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities," Journal of World Business, Elsevier, vol. 48(3), pages 329-339.
    10. Zhuomin Shi & Zaoying Kuang & Ning Yang, 2017. "Why it is hard to explain Chinese face?—FACE measurement models and its influence on ecological product preference," Frontiers of Business Research in China, Springer, vol. 11(1), pages 1-22, December.
    11. John S. Hill & Myung-Su Chae & Jinseo Park, 2012. "The Effects of Geography and Infrastructure on Economic Development and International Business Involvement," Journal of Infrastructure Development, India Development Foundation, vol. 4(2), pages 91-113, December.
    12. Rodríguez-Pinto, Javier & Carbonell, Pilar & Rodríguez-Escudero, Ana I., 2011. "Speed or quality? How the order of market entry influences the relationship between market orientation and new product performance," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 145-154.
    13. Lee Yen Chaw & Chun Meng Tang, 2019. "Online accommodation booking: what information matters the most to users?," Information Technology & Tourism, Springer, vol. 21(3), pages 369-390, September.
    14. Grahame R. Dowling & Tayo Otubanjo, 2011. "Corporate and organizational identity: two sides of the same coin," AMS Review, Springer;Academy of Marketing Science, vol. 1(3), pages 171-182, December.
    15. Ringle, Christian M. & Götz, Oliver & Wetzels, Martin & Wilson, Bradley, 2009. "On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies," MPRA Paper 15390, University Library of Munich, Germany.
    16. Natale Carlo Lauro & Maria Gabriella Grassia & Rosanna Cataldo, 2018. "Model Based Composite Indicators: New Developments in Partial Least Squares-Path Modeling for the Building of Different Types of Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 421-455, January.
    17. De Giovanni, Pietro & Esposito Vinzi, Vincenzo, 2012. "Covariance versus component-based estimations of performance in green supply chain management," International Journal of Production Economics, Elsevier, vol. 135(2), pages 907-916.
    18. van Riel, C.B.M. & Berens, G.A.J.M. & Dijkstra, M., 2008. "Stimulating Strategically Aligned Behaviour among Employees," ERIM Report Series Research in Management ERS-2008-045-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Jeffrey G. Covin & William J. Wales, 2012. "The Measurement of Entrepreneurial Orientation," Entrepreneurship Theory and Practice, , vol. 36(4), pages 677-702, July.
    20. Atif Açıkgöz & Ayşe Günsel & Nizamettin Bayyurt & Cemil Kuzey, 2014. "Team Climate, Team Cognition, Team Intuition, and Software Quality: The Moderating Role of Project Complexity," Group Decision and Negotiation, Springer, vol. 23(5), pages 1145-1176, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:154:y:2021:i:2:d:10.1007_s11205-020-02563-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.