Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance

Long Range Planning - Tập 46 Số 1-2 - Trang 1-12 - 2013
Joseph F. Hair, Christian M. Ringle, Marko Sarstedt

Tóm tắt

Từ khóa


Tài liệu tham khảo

Albers, 2010, PLS and success factor studies in marketing, 409

Becker, 2012, Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models, Long Range Planning, 45, 359, 10.1016/j.lrp.2012.10.001

Cenfetelli, 2009, Interpretation of formative measurement in information systems research, MIS Quarterly, 33, 689, 10.2307/20650323

Chin, 1998, The partial least squares approach to structural equation modeling, 295

Chin, 2003

Chin, 2010, How to write up and report PLS analyses, vol. II, 655

Chin, 2010, A permutation based procedure for multi-group PLS analysis: results of tests of differences on simulated data and a cross cultural analysis of the sourcing of information system services between Germany and the USA, vol. II, 171

Cliff, 1983, Some cautions concerning the application of causal modeling methods, Multivariate Behavioral Research, 18, 115, 10.1207/s15327906mbr1801_7

Cortina, 1993, Interaction, nonlinearity, and multicollinearity: implications for multiple regression, Journal of Management, 19, 915, 10.1016/0149-2063(93)90035-L

Diamantopoulos, 2011, Using formative measures in international marketing models: a cautionary tale using consumer animosity as an example, Advances in International Marketing, 10, 11, 10.1108/S1474-7979(2011)0000022004

Diamantopoulos, 2008, Advancing formative measurement models, Journal of Business Research, 61, 1203, 10.1016/j.jbusres.2008.01.009

Diamantopoulos, 2001, Index construction with formative indicators: an alternative to scale development, Journal of Marketing Research, 38, 269, 10.1509/jmkr.38.2.269.18845

Dijkstra, 2011, Linear indices in nonlinear structural equation models: best fitting proper indices and other composites, Quality & Quantity, 45, 1505, 10.1007/s11135-010-9359-z

2010, vol. II

Falk, 1992

Furrer, 2012, A model of response strategies in strategic alliances: a PLS analysis of a circumplex structure, Long Range Planning, 45, 424, 10.1016/j.lrp.2012.10.003

Gefen, 2011, Editor's comment: an update and extension to SEM guidelines for administrative and social science research, MIS Quarterly, 35, iii, 10.2307/23044042

Götz, 2010, Evaluation of structural equation models using the partial least squares (PLS) approach, vol. II, 691

Gudergan, 2012, Strategic implications for (non-equity) alliance performance, Long Range Planning, 45, 451, 10.1016/j.lrp.2012.09.002

Gudergan, 2008, Confirmatory tetrad analysis in PLS path modeling, Journal of Business Research, 61, 1238, 10.1016/j.jbusres.2008.01.012

Haenlein, 2004, A beginner's guide to partial least squares analysis, Understanding Statistics, 3, 283, 10.1207/s15328031us0304_4

Hahn, 2002, Capturing customer heterogeneity using a finite mixture PLS approach, Schmalenbach Business Review, 54, 243, 10.1007/BF03396655

Hair, 2010

Hair, 2013

Hair, 2011, PLS-SEM: indeed a silver bullet, Journal of Marketing Theory and Practice, 19, 139, 10.2753/MTP1069-6679190202

Hair, 2012, Partial least squares: the better approach to structural equation modeling?, Long Range Planning, 45, 312, 10.1016/j.lrp.2012.09.011

Hair, 2012, Applications of partial least squares path modeling in management journals: a review of past practices and recommendations for future applications, Long Range Planning, 45, 320, 10.1016/j.lrp.2012.09.008

Hair, 2012, An assessment of the use of partial least squares structural equation modeling in marketing research, Journal of the Academy of Marketing Science, 40, 414, 10.1007/s11747-011-0261-6

Helm, 2010, Modelling the impact of corporate reputation on customer satisfaction and loyalty using PLS, vol. II, 515

Henseler, 2012, Why generalized structured component analysis is not universally preferable to structural equation modeling, Journal of the Academy of Marketing Science, 40, 402, 10.1007/s11747-011-0298-6

Henseler, 2010, A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling, Structural Equation Modeling, 17, 82, 10.1080/10705510903439003

Henseler, 2010, Testing moderating effects in PLS path models: an illustration of available procedures, 713

Henseler, 2012, Analyzing quadratic effects of formative constructs by means of variance-based structural equation modelling, European Journal of Information Systems, 21, 99, 10.1057/ejis.2011.36

Henseler, 2012, Using partial least squares path modeling in international advertising research: basic concepts and recent issues, 252

Henseler, 2009, The use of partial least squares path modeling in international marketing, Advances in International Marketing, 20, 277, 10.1108/S1474-7979(2009)0000020014

Henseler, J., Sarstedt, M., 2013. On the goodness-of-fit-index of partial least squares path modeling. Computational Statistics, forthcoming (online available).

Höck, 2010, Management of multi-purpose stadiums: importance and performance measurement of service interfaces, International Journal of Services Technology and Management, 14, 188, 10.1504/IJSTM.2010.034327

Hulland, 1999, Use of Partial Least Squares (PLS) in strategic management research: a review of four recent studies, Strategic Management Journal, 20, 195, 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7

Jaccard, 2003

Jarvis, 2003, A critical review of construct indicators and measurement model misspecification in marketing and consumer research, Journal of Consumer Research, 30, 199, 10.1086/376806

Lee, 2011, On the use of partial least squares path modeling in accounting research, International Journal of Accounting Information Systems, 12, 305, 10.1016/j.accinf.2011.05.002

Lohmöller, 1989

MacKenzie, 2005, The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions, Journal of Applied Psychology, 90, 710, 10.1037/0021-9010.90.4.710

MacKenzie, 2011, Construct measurement and validation procedures in MIS and behavioral research: integrating new and existing techniques, MIS Quarterly, 35, 293, 10.2307/23044045

Money, 2012, Exploring unanticipated consequences of strategy amongst stakeholder segments: the case of a European revenue service, Long Range Planning, 45, 395, 10.1016/j.lrp.2012.09.003

Peng, 2012, Using partial least squares in operations management research: a practical guideline and summary of past research, Journal of Operations Management, 30, 467, 10.1016/j.jom.2012.06.002

Raithel, 2012, On the value relevance of customer satisfaction. Multiple drivers and multiple markets, Journal of the Academy of Marketing Science, 40, 509, 10.1007/s11747-011-0247-4

Reinartz, 2009, An empirical comparison of the efficacy of covariance-based and variance-based SEM, International Journal of Research in Marketing, 26, 332, 10.1016/j.ijresmar.2009.08.001

Rigdon, 2012, Rethinking partial least squares path modeling: in praise of simple methods, Long Range Planning, 45, 341, 10.1016/j.lrp.2012.09.010

Rigdon, 2010, Structural modeling of heterogeneous data with partial least squares, vol. 7, 255

Rigdon, 2011, Assessing heterogeneity in customer satisfaction studies: across industry similarities and within industry differences, Advances in International Marketing, 22, 169, 10.1108/S1474-7979(2011)0000022011

Ringle, 2010, Response-based segmentation using finite mixture partial least squares: theoretical foundations and an application to American customer satisfaction index data, Annals of Information Systems, 8, 19, 10.1007/978-1-4419-1280-0_2

Ringle, 2012, A critical look at the use of PLS-SEM in MIS quarterly, MIS Quarterly, 36, iii, 10.2307/41410402

Ringle, 2005

Ringle, 2010, Finite mixture partial least squares analysis: methodology and numerical examples, 195

Robins, 2012, Partial-least squares, Long Range Planning, 45, 309, 10.1016/j.lrp.2012.10.002

Roldán, 2012, Variance-based structural equation modeling: guidelines for using partial least squares in information systems research, 193

Sarstedt, 2008, A review of recent approaches for capturing heterogeneity in partial least squares path modelling, Journal of Modelling in Management, 3, 140, 10.1108/17465660810890126

Sarstedt, 2011, Uncovering and treating unobserved heterogeneity with FIMIX-PLS: which model selection criterion provides an appropriate number of segments?, Schmalenbach Business Review, 63, 34, 10.1007/BF03396886

Sarstedt, 2011, Multi-group analysis in Partial Least Squares (PLS) path modeling: alternative methods and empirical results, Advances in International Marketing, 22, 195, 10.1108/S1474-7979(2011)0000022012

Sarstedt, 2010, Treating unobserved heterogeneity in PLS path modelling: a comparison of FIMIX-PLS with different data analysis strategies, Journal of Applied Statistics, 37, 1299, 10.1080/02664760903030213

Sattler, 2010, The impact of brand extension success factors on brand extension price premium, International Journal of Research in Marketing, 27, 319, 10.1016/j.ijresmar.2010.08.005

Sosik, 2009, Silver bullet or voodoo statistics? a primer for using the partial least squares data analytic technique in group and organization research, Group Organization Management, 34, 5, 10.1177/1059601108329198

Temme, 2010, A comparison of current PLS path modeling software: features, ease-of-use, and performance, vol. II, 737

Tenenhaus, 2004, A global goodness-of-fit index for PLS structural equation modeling, 739

Tenenhaus, 2005, PLS path modeling, Computational Statistics & Data Analysis, 48, 159, 10.1016/j.csda.2004.03.005

Völckner, 2010, The role of parent brand quality for service brand extension success, Journal of Service Research, 13, 359, 10.1177/1094670510370054

Wetzels, 2009, Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration, MIS Quarterly, 33, 177, 10.2307/20650284

Wilson, 2010, Using PLS to investigate interaction effects between higher order branding constructs, vol. II, 621

Wold, 1974, Causal flows with latent variables: partings of ways in the light of NIPALS modelling, European Economic Review, 5, 67, 10.1016/0014-2921(74)90008-7

Wold, 1982, Soft modeling: the basic design and some extensions, 1