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Your Learning Partner
Your Learning Partner
Gusman Nawanir is a senior lecturer and Head of Operations and Supply Chain Management Research Cluster in the Faculty of Industrial Management, Universiti Malaysia Pahang, Malaysia. 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 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. He 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 3.3.6
Provide essential knowledge in interpreting data analysis results using SmartPLS 3.3.6
What to Discuss?
What to Discuss?
Introduction to SEM.
Measurement Model Assessment.
Structural Model Assessment.
Higher order model (HOM).
Preparation
Preparation
For those who have never installed in his/her computer/laptop, you MUST have SmartPLS software version 3.3.6 (not version 2) installed.
To get the software, please do the followings:
Enter your email address here, and apply for the trial.
SmartPLS will email you the 30-days trial license key. Follow the steps in the email to activate your trial key.
Download and install SmartPLS 3.3.6 on your laptop. During the installation, please make sure to choose SmartPLS PROFESSIONAL version, NOT student version.
The facilitator will provide TWO (2) month professional license key during the workshop.
Windows 64-bit
Windows 64-bit
SmartPLS 3 is compatible with all recent Windows 10, 8, 8.1, 7, Vista, XP, and Windows 2000
For installation, please download the right installer and run the file.
Mac OS X
Mac OS X
SmartPLS 3 is compatible with Mac OS X versions: Catalina (10.15), Mojave (10.14), High Sierra (10.13), Sierra (10.12), El Capitan (10.11), and Yosemite (10.10)
For installation, please download and run the DMG installer.
Windows 32-bit
Windows 32-bit
Please download SmartPLS 3.2.9 which is the last version which can support 32-bit operating systems.
Looking for SmartPLS 2.0.M3?
Looking for SmartPLS 2.0.M3?
At the beginning of the year 2022, SmartPLS has now finally discontinued support for SmartPLS 2.0.M3, which we first released in 2005. SmartPLS will no longer offer SmartPLS 2.0.M3 for download and ship its activation keys.
You can easily transfer your old projects and continue using them in the much more advanced SmartPLS 3.
To produce identical results you have to check and apply the same settings in SmartPLS 2.0.M3 and SmartPLS 3.
To give you enough time to migrate to SmartPLS 3, you can use the following final activation key that will allow you to use SmartPLS 2.0.M3 until the end of 2022:
D48AF1C13A2A6E28124089E838DA1A5EA260E4403F0AA71353A5E7C95416DBE4F236F4CC7B703DB019B6BFBCC510D95D6E420429DFE1385A343E409BC5D7DE6941E77828ACD071B2
Training Rules
Training Rules
Open Minded
Open Minded
Think, do, & be positive
Think, do, & be positive
Get Involved
Get Involved
Let's Open Our Camera
Let's Open Our 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 each session
Participate actively in each session
Share experiences and best practices.
Bring up challenges.
Discuss successes.
Learning Approach: Active/Participatory Learning
Learning Approach: Active/Participatory Learning
Learning, which is undertaken 'with' rather than 'for' participants.
Main References
Main References
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis. Essex, England: Pearson Education Limited.
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.
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?
Recent Updates and Development on PLS-Path Modeling and SmartPLS
Recent Updates and Development on PLS-Path Modeling and SmartPLS
You need more current updates on PLS-Path Modeling? Click Here!
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