TTA-18016 Changing Subject Postgraduate Course on Industrial Management , 2-8 cr

Implementation TTA-18016 2018-02

Description

RESEARCH METHODS WORKSHOP (2 credits) on Partial Least Squares Structural Equations Modelling (PLS-SEM) Using SmartPLS 3

VISITING PROFESSOR: Prof. Dr. Christian M. Ringle from Hamburg University of Technology (TUHH), Germany.

TIME: Monday 27 Aug - Tuesday 28 Aug, 2018, from 9 am to 5 pm.

This 2-days workshop looks at partial least squares structural equation modelling (PLS-SEM), which has received considerable attention in a variety of disciplines, including marketing (Hair et al 2011, according to Google scholar the most-cited article ever published in JMTP; Hair et al. 2012a, according to Google scholar the most-cited JAMS article since 2012), strategic management (Hair et al. 2012b, according to Google scholar the most-cited LRP article since 2012), and management information systems (Ringle et al. 2012, according to Google scholar the second-most cited MIS Quarterly article since 2012).


The goal of PLS-SEM is the explanation of variances (prediction-oriented character of the methodology) rather than explaining covariances (theory testing via covariance-based SEM, CB-SEM). The application of the PLS-SEM method is of particular interest if the premises of CB-SEM are violated and the assumed relations of cause-and-effect are not sufficiently explored. An additional advantage of the PLS-SEM method is the unrestricted incorporation of latent variables in the path model that either draws on reflective or formative measurements models. The workshop will focus on introducing the state-of-the-art of PLS-SEM using the SmartPLS 3 software.


This course has been designed for full-time faculty and PhD students who are interested in learning how to step-up their research towards well-designed and publishable outputs that potentially survive the test of time and are read and cited. A basic knowledge of univariate and multivariate statistics and SEM techniques is helpful, but not required.

Lessons

Assessment scale

Evaluation scale passed/failed will be used on the course

Requirements

- Mandatory participation in the workshop.
- Research development exercise according to the instructions

Additional information of course implementation

Core Content and Learning Objectives:

This workshop is designed to look at the stages of research question development and theorizing together with the subsequent methodological implementation using the multivariate analysis method PLS-SEM in business and management research.


The learning objectives are to (1) contribute to theory by establishing a useful PLS path model, (2) have an in-depth methodological appreciation of the PLS-SEM approach (the nature of causal modelling, analytical objectives, some statistics), (3) being able to evaluate measurement results, and (4) understand complementary analytical techniques.

Specifically, participants will understand the following topics:
- Model development and fundamentals of PLS-SEM and consistent PLS
- Assessment and reporting of measurement and structural model results (relevant criteria, measures, and critical values)
- A new criterion for discriminant validity: The heterotrait-monotrait ratio of correlations (HTMT)
- Mediating effects
- Moderating effects (interaction effects)
- Outlook on multigroup analysis and measurement invariance testing

In addition, the participants will be able to use the SmartPLS 3 software for their PLS-SEM analyses.