Table of contents

  1. Front Matter
    Pages I-XIV
  2. Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, Huiwen Wang
    Pages 1-20
  3. Methods

    1. Front Matter
      Pages 22-22
    2. Michel Tenenhaus, Mohamed Hanafi
      Pages 99-123
    3. Christian M. Ringle, Sven Wende, Alexander Will
      Pages 195-218
    4. Silvia Squillacciotti
      Pages 219-233
    5. Kai Kristensen, Jacob Eskildsen
      Pages 247-277
    6. Clara Cordeiro, Alexandra Machás, Maria Manuela Neves
      Pages 279-287
    7. Svante Wold, Lennart Eriksson, Nouna Kettaneh
      Pages 327-357
    8. Solve Sæbø, Magni Martens, Harald Martens
      Pages 359-379
    9. Huiwen Wang, Jie Meng, Michel Tenenhaus
      Pages 381-406
  4. Applications to Marketing and Related Areas

    1. Front Matter
      Pages 408-408
    2. Sönke Albers
      Pages 409-425
    3. Paulo Alexandre O. Duarte, Mário Lino B. Raposo
      Pages 449-485
    4. David Martín Ruiz, Dwayne D. Gremler, Judith H. Washburn, Gabriel Cepeda Carrión
      Pages 535-566
    5. Sandra Streukens, Martin Wetzels, Ahmad Daryanto, Ko de Ruyter
      Pages 567-587
    6. Silvia Boßow-Thies, Sönke Albers
      Pages 589-604
    7. Ali Turkyilmaz, Ekrem Tatoglu, Selim Zaim, Coskun Ozkan
      Pages 605-620
  5. Tutorials

    1. Front Matter
      Pages 654-654
    2. Wynne W. Chin
      Pages 655-690
    3. Oliver Götz, Kerstin Liehr-Gobbers, Manfred Krafft
      Pages 691-711
    4. Dirk Temme, Henning Kreis, Lutz Hildebrandt
      Pages 737-756
    5. Zaibin Wu, Dapeng Li, Jie Meng, Huiwen Wang
      Pages 757-774
  6. Back Matter
    Pages 791-798

About this book


The "Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications" is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overview of PLS methods with specific reference to their use in Marketing and with a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between the component-based PLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.


Component-based Structural Equation Models Estimator Latent Variables Marketing Research PLS Partial Least Squares Regression clustering data analysis structural equation modeling

Editors and affiliations

  • Vincenzo Esposito Vinzi
    • 1
  • Wynne W. Chin
    • 2
  • Jörg Henseler
    • 3
  • Huiwen Wang
    • 4
  1. 1.Dept. Inf. Systems & Decision SciencesESSEC Business School of ParisCergy Pontoise CXFrance
  2. 2.Bauer College of BusinessUniversity of HoustonHoustonU.S.A.
  3. 3.Nijmegen School of ManagementRadboud UniversityNijmegenNetherlands
  4. 4.School of Economics & ManagementBeiHang UniversityBeijingChina, People's Republic

Bibliographic information