Mastering PLS-Path Modeling with SmartPLS 3.3.3

About Me

Dr. Gusman Nawanir is a senior lecturer in the Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia. He earned his bachelor of engineering (Industrial Engineering) from University of Andalas, Indonesia; MSc and PhD (Operations Management) from Universiti Utara Malaysia. He taught courses in quality management, stakeholder management, operations management, lean management, research methodology, and procurement management. His main research interests include lean operations, business sustainability, manufacturing flexibility, quality management, operations and production management, performance management, and Industry 4.0-related issues. He conducted workshops on research methodology, quantitative analysis with Microsoft Excel, SPSS, and Structural Equation Modeling with SmartPLS and AMOS. As a scholar, Dr. Gusman is actively teaching and having papers published in the related fields.

Training Rules

Open Minded

Use your smart phone smartly

Think, do, & be positive

Get Involved

Learning Approach: Active/Participatory Learning

Learning, which is undertaken 'with' rather than 'for' students.

Preparation

You MUST have SmartPLS software version 3.2.8 (not version 2) installed. To get the software, please do the followings:

- - Enter your email at https://www.smartpls.com/free-trial, and click Get Free Trial.
  - SmartPLS will email you for confirmation of the 30-days trial subscription. Follow the instruction in the email.
  - Once confirmed, SmartPLS will email you a trial key. Follow the instruction provided.
  - Download and install SmartPLS 3.2.8 in your computer.

Main References

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis. Essex, England: Pearson Education Limited. (Click here)

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2 ed.). Thousand Oaks, CA: Sage. (Click here)

Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage.

Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0: An Updated Guide and Practical Guide to Statistical Analysis (2nd Edition). Kuala Lumpur, Malaysia: Pearson.

Garson, G. D. (2016). Partial Least Squares Regression and Structural Equation Models. Asheboro: Statistical Associates. (Click here)

Avkiran, N. K., & Ringle, C. M. (Eds.). (2018). Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance. Heidelberg: Springer.

Latan, H., & Noonan, R. (Eds.). (2017). Partial Least Squares Structural Equation Modeling: Basic Concepts, Methodological Issues and Applications. Heidelberg: Springer. (Click here)

Esposito Vinzi, V., Chin, W. W., Henseler, J., & Wang, H. (Eds.). (2010). Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer Handbooks of Computational Statistics Series, vol. II). Heidelberg, Dordrecht, London, New York: Springer.

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