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Your Learning Partner
Your Learning Partner
Dr. Gusman Nawanir is the founder of Scholar Zone International, which actively provides training and consultations on research, academics, and entrepreneurship. He is currently listed as a lecturer at the Faculty of Economics and Business, Universitas Islam Riau. Previously, he was a senior lecturer and Head of Operations and Supply Chain Management Research Cluster in the Faculty of Industrial Management, Universiti Malaysia Pahang. He was also appointed as an Adjunct Professor at the Faculty of Economics, Universitas Negeri Yogyakarta.
He earned his Bachelor of Engineering in Industrial Engineering from the University of Andalas, Indonesia; Master of Science, and Doctor of Philosophy in Operations Management from Universiti Utara Malaysia. He had long experience in consultancy projects dealing in a couple of organizations in Indonesia and Malaysia. He taught courses in quality management, stakeholder management, operations management, lean management, research methodology, and procurement in Industrial management. Besides, he has been invited to a number of training sessions on research methodology, data analysis with Statistical Package for the Social Sciences (SPSS), Structural Equation Modeling (SEM) with SmartPLS and AMOS, and data management and analysis using Microsoft Excel. His main research interests include lean operations, business sustainability, manufacturing flexibility, quality management, production management, performance management, and Industry 4.0-related issues.
As a scholar, Gusman is actively teaching and having papers published in reputable journals and conferences. His publications appear in a number of journals, such as Journal of Cleaner Production, Journal of Manufacturing Technology Management, International Journal of Lean Six Sigma, Global Business Review, Benchmarking: International Journal, International Journal of Service and Operations Management, International Journal of Supply Chain Management, Journal of Knowledge Management, International Journal of Knowledge and Learning, Journal of Retailing and Consumer Services, Critical Reviews in Biotechnology, Environmental Challenges, Sustainability, Applied System Innovation, and many more. Besides publishing in the impactful journals, he had also secured the best paper and best presenter awards in a couple of international conferences.
Pre-course Assessment
Pre-course Assessment
Scan the QR Code or Click HERE
Dear Participants,
Welcome to this training.
Please complete this form, so that we can assess your training needs. It is important that you answer the questions as accurately as you can, to help us to ensure that the course would be beneficial to you.
Thanks and enjoy the training!
Training Objectives
Training Objectives
Provide a systematic understanding on data analysis using structural equation modeling (SEM) technique
Provide essential skills of data analysis by utilizing SEM technique with SmartPLS 4
Provide essential knowledge in interpreting data analysis results using SmartPLS 4
What to Discuss?
What to Discuss?
FROM ZERO TO HERO
FROM ZERO TO HERO
Preparation for SEM Analysis
Introduction to SEM
Measurement Model Assessment
Structural Model Assessment
PLS-Predict
INTERMEDIATE level
INTERMEDIATE level
Confirmatory Tetrad Analysis
Higher Order Model
Mediation Model Assessment
Moderation Model Assessment
Importance-Performance Map Analysis
Multigroup Analysis
*This tentative is subject to change depending on the time and other circumtances.
Preparation
Preparation
SMARTPLS 4
SMARTPLS 4
Please visit the official website of SmartPLS HERE to get the SmartPLS 4 software. You should choose the software depending on the OS you are using in your laptop (Windows 32 bit, Windows 64 bit, or Mac OSX).
If you have a purchased SmartPLS 3 license, you can use SmartPLS 4 with the key immediately.
Alternatively, you can test SmartPLS 4 for free by registering directly in the software (Student version or Professional trial).
If you have any questions on the installation, you may visit the SmartPLS 4 Frequently Asked Question (FAQ) HERE.
Our Target
Our Target
OUR Learning Approach
OUR Learning Approach
We will apply the participatory learning or active learning approach, whereby learning is undertaken 'with' rather than 'for' participants.
Training Rules
Training Rules
Open Minded & Enthusiastic
Open Minded & Enthusiastic
Think, do, & be positive
Think, do, & be positive
Get Involved in all activities
Get Involved in all activities
Let's interact
Let's interact
down to earth
down to earth
Open up your Camera
Open up your Camera
Online Training Rules
Online Training Rules
Punctuality
Punctuality
Be on time for each virtual session
As a best practice, be just a few minutes early!
Asking questions
Asking questions
You may ask the questions during the speaker is talking through the following ways:
Write your questions in the chat box in the control panel of our online meeting platform's.
Raise your hand by clicking the raise hand button. You may ask question directly to the speaker once you are allowed.
Communicate professionally with others
Communicate professionally with others
Wait for others to finish speaking before you speak.
Build on others’ ideas and thoughts.
Disagreeing is OK – but be respective and courteous.
Participate actively in all sessions
Participate actively in all sessions
Share experiences and best practices.
Bring up challenges.
Discuss successes.
Main References
Main References
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3 ed.). Thousand Oaks, CA: Sage.
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.
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.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis. Essex, England: Pearson Education Limited.
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.
Latan, H., & Noonan, R. (Eds.). (2017). Partial Least Squares Structural Equation Modeling: Basic Concepts, Methodological Issues and Applications. Heidelberg: Springer.
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.
You need more references?
Download here and here
Updates & Development on PLS-SEM
Updates & Development on PLS-SEM
You need more current updates on PLS-Path Modeling? Click Here!
You need videos on SmartPLS 4? We would like to recommend the Youtube channel of James Gaskin for your reference. He has already published some nice videos about SmartPLS 4. Besides, he also published many videos on SmartPLS 3.
happy learning!!!
happy learning!!!
Seek for knowledge from the cradle to the grave
Seek for knowledge from the cradle to the grave
~ Al-hadith narrated by Bukhari ~
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