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Cite smartpls 3
Cite smartpls 3











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A concept analysis of methodological research on composite-based structural equation modeling: bridging PLSPM and GSCA. Journal of International Marketing 26 (3): 1–21. Addressing endogeneity in international marketing applications of partial least squares structural equation modeling. International Marketing Review 33 (3): 405–431. Testing measurement invariance of composites using partial least squares. Organizational Research Methods 17 (2): 182–209. Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013).

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In Advanced methods for modeling markets: International series in quantitative marketing, ed. European Journal of Marketing 53 (4): 566–584. Rethinking some of the rethinking of partial least squares.

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When to use and how to report the results of PLS-SEM. Advanced issues in partial least squares structural equation modeling (PLS-SEM). A primer on partial least squares structural equation modeling (PLS-SEM). Industrial Management & Data Systems 117 (3): 442–458. An updated and expanded assessment of PLS-SEM in information systems research. Journal of Marketing Theory and Practice 19 (2): 139–151. Schmalenbach Business Review 54 (3): 243–269. Capturing customer heterogeneity using a finite mixture PLS approach. Confirmatory tetrad analysis in PLS path modeling. Asheboro, NC: Statistical Associates Publishers Publications. Partial least squares: Regression and structural equation models. Heuristics versus statistics in discriminant validity testing: A comparison of four procedures. The pan-European customer satisfaction index programme-Current work and the way ahead. Consistent partial least squares path modeling. In Modern methods for business research, ed. The partial least squares approach to structural equation modeling. Journal of Knowledge Management 23 (1): 67–89.Ĭhin, W.W. Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management.

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Journal of Applied Structural Equation Modeling 2 (2): 1–21.Ĭepeda-Carrion, G., J.-G.

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Estimating moderating effects in PLS-SEM and PLSc-SEM: Interaction term generation*data treatment.

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Discovering unobserved heterogeneity in structural equation models to avert validity threats.













Cite smartpls 3