PLS-SEM BOOK:

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013).
A Primer on Partial Least Squares Structural Equation Modeling.
Thousand Oaks: Sage.


Sage: http://www.sagepub.com/books/Book237345
Book's Homepage: http://www.pls-sem.com


 

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SmartPLS Course Announcements: www.pls-school.com

NEXT COURSE:
PLS Path Modeling with SmartPLS: Comprehensive PLS Seminar
4 Days (you can book single days), November 5 to 8, 2014, TUHH Campus Hamburg, Germany

Detailed information and registration:
http://november2014.pls-school.com/


Recommended Software Application for PLS Path Modeling:

SmartPLS - Next Generation Path Modeling - http://www.smartpls.com

SmartPLS


Recommended Literature on PLS Path Modeling

Please also check the "Announcements" in the SmartPLS Forum for literature on PLS path modeling
(http://www.smartpls.de/forum/viewtopic.php?t=1158).

Henseler, J./ Dijkstra, T.K./ Sarstedt, M./ Ringle, C.M./ Diamantopoulos, A./ Straub, D.W./ Ketchen, D.J./ Hair, J.F./ Hult, G.T.M./ Calantone, R.J.: Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013), in: Organizational Research Methods (ORM), Volume 17 (2014), Issue 2, pp. 182-209.
http://dx.doi.org/10.1177/1094428114526928
CHECK OUT THE SAGE-BLOG ON THIS ARTICLE:
http://managementink.wordpress.com/2014/05/23/common-beliefs-and-reality-about-pls/

Sarstedt, M./ Ringle, C.M., Smith, D./ Reams, R./ Hair, J.F.: Partial Least Squares Structural Equation Modeling (PLS-SEM): A Useful Tool for Family Business Researchers, in: Journal of Family Business Strategy (JFBS), Volume 5 (2014), Issue 1, pp. 105-115.
http://dx.doi.org/10.1016/j.jfbs.2014.01.002

Schloderer, M.P./ Sarstedt, M./ Ringle, C.M.: The Relevance of Reputation in the Nonprofit Sector: The Moderating Effect of Socio-Demographic Characteristics, in: International Journal of Nonprofit and Voluntary Sector Marketing (IJNVSM), Volume 19 (2014), Issue 2, pp. 110-126.
http://dx.doi.org/10.1002/nvsm.1491 

Ringle, C.M./ Sarstedt, M./ Schlittgen, R.: Genetic Algorithm Segmentation in Partial Least Squares Structural Equation Modeling, in: OR Spectrum, Volume 36 (2014), Issue (1), pp. 251-276.
http://dx.doi.org/10.1007/s00291-013-0320-0
OPEN ACCESS ONLINE APPENDIX: http://dx.doi.org/10.1007/s00291-013-0320-0 

Becker, J.-M
./ Rai, A/, Ringle, C.M./ Völckner, F.: Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats, in: MIS Quarterly (MISQ), Volume 37 (2013), Issue 3, pp. 665-694.
http://misq.org/discovering-unobserved-heterogeneity-in-structural-equation-models-to-avert-validity-threats.html?SID=skgh5j9hv4iq4a5is1rqq80n85

Hair, J. F./ Ringle, C.M./ Sarstedt, M.: Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance, in: Long Range Planning (LRP), Volume 46 (2013), Issue 1-2, pp. 1-12. http://dx.doi.org/10.1016/j.lrp.2013.01.001 

Klarner, P./ Sarstedt, M./ Höck, M./ Ringle, C.M.: Disentangling the Effects of Team Competences, Team Adaptability, and Client Communication on the Performance of Management Consulting Teams, in: Long Range Planning (LRP), Volume 46 (2013), Issue 3, pp. 258-286.
http://dx.doi.org/10.1016/j.lrp.2013.03.001 

Ringle, C.M./ Sarstedt, M./ Schlittgen, R./ Taylor, C.R.: PLS Path Modeling and Evolutionary Segmentation, in Journal of Business Research (JBR), Volume 66 (2013), Issue 9, pp. 1318-1324.
http://dx.doi.org/10.1016/j.jbusres.2012.02.031 

Becker, J.-M., Klein, K., & Wetzels, M.: Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models, in: Long Range Planning, Volume 45 (2012), Issues 5-6, pp. 359-394.
http://www.sciencedirect.com/science/article/pii/S0024630112000611

Gudergan, S./ Ringle, C.M./ Wende, S./ Will, A.: Confirmatory tetrad analysis in PLS path modeling, in: Journal of Business Research (JBR), Volume 61 (2008), Issue 12, pp. 1238-1249.
http://linkinghub.elsevier.com/retrieve/pii/S0148296308000143 

Hair, J.F./ Sarstedt, M./ Pieper, T./ Ringle, C.M.: The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications, Long Range Planning (LRP), Volume 45 (2012), Issue 5-6, pp. 320-340.
http://www.sciencedirect.com/science/article/pii/S0024630112000568

Hair, J.F./ Ringle, C.M./ Sarstedt, M.: PLS-SEM: Indeed a Silver Bullet, in: Journal of Marketing Theory and Practice (JMTP), Volume 19 (2011), Issue 2, pp. 139-152.
http://www.metapress.com/content/q435pt848111/?p=443f599e156e4588aa7989a5f9b72ba8&pi=0 

Hair, J.F./ Ringle, C.M./Sarstedt, M.: Partial Least Squares: The Better Approach to Structural Equation Modeling? Long Range Planning, Volume 45 (2012), Issue 5-6, pp. 312-319.
http://www.sciencedirect.com/science/article/pii/S0024630112000593

Hair, J.F./ Ringle, C.M./Sarstedt, M.: Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, Volume 46 (2013), Issue 1-2, pp. 1-12.
http://www.sciencedirect.com/science/article/pii/S0024630113000022

Hair, J.F./ Sarstedt, M./ Ringle, C.M./ Mena, J.A.: An assessment of the use of partial least squares structural equation modeling in marketing research, in: Journal of the Academy of Marketing Science (JAMS), Volume 40 (2012), Issue 3, pp. 414-433.
http://www.springerlink.com/content/t502155t60nv8005/

Henseler, J./ Ringle, C.M./Sarstedt, M.: Using partial least squares path modeling in international advertising research: Basic concepts and recent issues, in: Okazaki (Ed.), Handbook of Research in International Advertising, Cheltenham: Edward Elgar Publishing, pp. 252-276.
http://www.elgaronline.com/abstract/9781848448582.00023.xml

Henseler, J./ Ringle, C.M./ Sinkovics, R.R.: The use of partial least squares path modeling in international marketing, in: Sinkovics, R. R. / Ghauri, P. N. (eds.), Advances in International Marketing (AIM), Vol. 20, Bingley 2009, pp. 277-320.
http://www.emeraldinsight.com/books.htm?chapterid=1775963&show=abstract
 

Klarner, P., Sarstedt, M., Ringle, C. M., & Höck, M. (2013).
Disentangling the Effects of Team Competences, Team Adaptability, and Client Communication on the Performance of Management Consulting Teams. Long Range Planning, Volume 46 (2013), Issue 3, pp. 258-286.
http://www.sciencedirect.com/science/article/pii/S0024630113000162 

Rigdon, E.E./ Ringle, C.M./ Sarstedt, M./ Gudergan, S.P.: Assessing heterogeneity in customer satisfaction studies: Across industry similarities and within industry differences, in: Advances in International Marketing (AIM), Vol. 22, Bingley 2011, pp. 169-194.
http://www.emeraldinsight.com/books.htm?issn=1474-7979&volume=22&chapterid=1947689&show=abstract 

Rigdon, E.E./ Ringle, C.M./ Sarstedt, M.: Structural modeling of heterogeneous data with partial least squares, in: Malhotra, N.K. (ed.), Review of Marketing Research, Volume 7 (2010), Armonk, pp. 255-296.
http://www.emeraldinsight.com/books.htm?chapterid=1896306&show=abstract 

Ringle, C.M./ Sarstedt, M./ Schlittgen, R./ Taylor, C.R.: PLS Path Modeling and Evolutionary Segmentation. in: Journal of Business Research (JBR), Volume 66 (2013), Issue 9, pp. 1318-1324.
http://www.sciencedirect.com/science/article/pii/S014829631200063X

Ringle, C.M./ Sarstedt, M./ Straub, D.W.: A critical look at the use of PLS-SEM in MIS Quarterly, in: MIS Quarterly, Volume 36 (2012), Issue 1, iii-xiv.
http://misq.org/skin/frontend/default/misq/pdf/V36I1/EdCommentsV36N1.pdf

Ringle, C.M./ Sarstedt, M./ Mooi, E.A.: Response-based segmentation using FIMIX-PLS: Theoretical foundations and an application to American customer satisfaction index data, in: Stahlbock, R./ Crone, S. F./ Lessmann, S. (eds.): Annals of Information Systems (AoIS), Volume 8, Berlin-Heidelberg 2010, 19-49.
http://www.springerlink.com/content/j4543621w61w375m/

Ringle, C.M./ Sarstedt, M./ Zimmermann, L.: Customer satisfaction with commercial airlines: The role of perceived safety and purpose of travel, in: Journal or Marketing Theory and Practice (JMTP), Volume 19 (2011), Issue 4, pp. 459-472.
http://dx.doi.org/10.2753/MTP1069-6679190407

Sarstedt, M./ Becker, J.-M./ Ringle, C.M./ Schwaiger, M.: Uncovering and treating unobserved heterogeneity with FIMIX-PLS: Which model selection criterion provides an appropriate number of segments?, in: Schmalenbach Business Review (sbr), Volume 63 (2011), Issue 1, pp. 34-62.
http://www.fachverlag.de/sbr/pdfarchive/einzelne_pdf/sbr_2011_jan_034-062.pdf 

Sarstedt, M./ Henseler, J./ Ringle, C.M.: Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results, in: Advances in International Marketing (AIM), Vol. 22, Bingley 2011, pp. 195-218.
http://www.emeraldinsight.com/books.htm?chapterid=1947659 

Sarstedt, M./ Ringle, C.M.: Treating unobserved heterogeneity in PLS path modelling: A comparison of FIMIX-PLS with different data analysis strategies, in: Journal of Applied Statistics (JAS), Volume 37 (2010), Issue 8, pp. 1299-1318.
http://www.informaworld.com/smpp/content~content=a925629316~db=all~jumptype=rss?action=showoptions&mode=content&pdealnumber=1&pdealtype=issue 

Sarstedt, M./ Schwaiger, M./ Ringle, C.M.: Do we fully understand the critical success factors of customer satisfaction with industrial goods? - Extending Festge and Schwaiger’s model to account for unobserved heterogeneity, in: Journal of Business Market Management (JBM), Volume 3 (2009), Issue 3, pp. 185-206.
http://link.springer.com/content/pdf/10.1007%2Fs12087-009-0023-7.pdf

Sattler, H./ Völckner, F./ Riediger, C./ Ringle, C.M.: The impact of brand extension success drivers on brand extension price premiums, in: International Journal of Research in Marketing (IJRM), Volume 27 (2010), Issue 4, pp. 319-328.
http://www.sciencedirect.com/science/article/pii/S0167811610000741

Völckner, F./ Sattler, H./ Hennig-Thurau, T./ Ringle, C.M.: The role of parent brand quality for service brand extension success, in: Journal of Service Research (JSR), Volume 13 (2010), Issue 4, pp. 379-396.
http://jsr.sagepub.com/content/early/2010/06/10/1094670510370054


SmartPLS In-house Trainings:

If you are interested in courses on PLS path modeling on all levels at your university (e.g., Ph.D. program) or at your company (e.g., in-house training), please contact

Dr. Christian M. Ringle
is Full Professor and Director of the Institute for Human Resource Management and Organizations at TUHH - Hamburg University of Technology (Germany). His research interests include strategic management, HR management & organizations, marketing, and quantitative methods for business and market research. He has significant experiences as a consultant for companies in Europe and the U.S. Dr Ringle is Managing Director of the SmartPLS project focusing on methodological extensions for PLS path modeling, their software implementation, and application in empirical business research. Moreover, he co-authored the book "A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)" (published by Sage).

Dr. Joerg Henseler
is Associate Professor of Marketing at the Nijmegen School of Management, Radboud University Nijmegen (The Netherlands) and Visiting Professor at the Higher Institute of Statistics and Information Management (ISEGI), New University of Lisbon (Portugal). His research interests include the development and application of partial least squares path modeling (PLS), relationship marketing, brand management, services marketing and innovation management. He is editor of the Handbook of Partial Least Squares (published by Springer).

Email: mail@pls-school.com
Further Information: http://www.pls-school.com/trainingcourses.html