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Partial least Squares Structural Equation Modeling using SmartPLS Software

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Dates: March 04-05, 2023
Programme Director: Prof. Ashutosh Pandey
Mode: Virtual Mode

Partial least Squares Structural Equation Modeling using SmartPLS Software


In recent years, partial least squares structural equation modeling (PLS-SEM) has gained considerable attention across a number of disciplines, including marketing, strategic management, human resource management, behavioral finance, etc. When Maximum Likelihood-based procedures (such as AMOS) do not fulfill the assumptions, partial least squares path modeling (PLS) can provide a suitable solution. As opposed to theory testing via covariance-based SEM (CB-SEM), PLS-SEM aims to explain variance (prediction-oriented character of the methodology). Furthermore, the PLS-SEM method allows for the unlimited incorporation of latent variables into the path model, which can be either reflective or formative.


The purpose of this course is to contribute to theory by establishing a useful PLS path model, to provide a methodological introduction to the PLS-SEM approach, and to demonstrate how measurements and structural models are applied.


  • Basics of Structural Equation Modeling
  • Fundamentals of PLS-SEM: Difference Between Covariance-Based Structural Equation Modelling and Partial Least Squares Structural Equation Modeling.
  • Reflective vs Formative Construct.
  • Univariate and Multivariate Normality
  • Measurement Model Assessment (Convergent & Discriminant Validity) and Common Method Biasness.
  • Explanatory and Predictive Relevance, Blindfolding and PLS Predict
  • Structural Model Assessment (Path Analysis, Interaction Effect, and Bootstrapping Technique)
  • Mediation, Moderation and Multi-group analysis in PLS-SEM
  • Higher-order construct in Smart PLS
  • Important Performance analysis (IPMA) and Confirmatory Tetrad Analysis (CTA)


After completion of the faculty development program, an e-certificate will be provided to participants.


Participants in this workshop will obtain extensive hands-on experience with Smart PLS Software in an ONLINE environment. The discussion of concepts will be followed by practice sessions on computers. Interpretation and methodology will also be discussed in parallel.

Who Should Attend

Management/social sciences faculty members, research scholars, and industry representatives.

Professional Fee of the Program

Particulars Fee for Online
Faculty Members INR 2360
Student/Research Scholars INR 1180
Corporate Executives INR 4720

GST @18% included in fee amount, as applicable

Program Dates and Timing

Dates : March 4-5, 2023 (Saturday & Sunday)
Timing : 10:00 AM- 01:00 PM 02:00 PM- 05:00 PM
Program Duration : 12 hours (spread over 2 days)

Program Director

Prof. Ashutosh Pandey

Ph.D. ABV-IIITM Gwalior, MMM (Marketing Management) University of Pune
M.Com.(Applied Economics) University of Lucknow, B.Com., University of Lucknow

He holds a PhD in Marketing Management, where he developed a scale and designed the Service Blueprint for Heritage Tourism Service Quality. He was awarded a scholarship by the Ministry of Human Resources Development to pursue a full-time PhD in Management at the Institute of National Importance. He passed the UGC's Management NET examination and earned a Master of Marketing Management from the University of Pune. He previously worked in the marketing domain at ICICI Securities and as an IBM SPSS Trainer for Tays Pvt. Ltd. He also has academic experience, focusing on services marketing, marketing research, marketing management, social media marketing, consumer behaviour, and tourism marketing. He has served as a visiting faculty at the Indian Institute of Travel & Tourism Management in Gwalior and IMT Ghaziabad. He has participated in numerous research workshops, the Faculty Development Program (FDP), and the MHRD-sponsored QIP programme at IIT Delhi, IIT Roorkee, IIM Ahmedabad, and ABV-IIITM Gwalior, to name a few. He is the author of numerous national and international publications. He has been an invited speaker at the AICTE-sponsored Faculty Development Program and served as a resource person for various qualitative and quantitative research workshops held at reputable organisations.

About Fore School of Management

FORE School of Management, New Delhi is a leading business school in India. The institute offers the following programs: PGDM, PGDM (IB), PGDM (Financial Management), PGDM (Big Data Analytics), PGDM (Executive), and Fellow Program in Management (FPM).

The programs are approved by the All India Council for Technical Education. The PGDM and PGDM (IB) programs at FORE are accredited by the National Board of Accreditation (NBA) and are equivalent to MBA as granted by the Association of Indian Universities (AIU).

FORE School of Management has also been granted SAQS Accreditation for a period of five years with effect from December 2017. FORE School of Management has institutional memberships of India Habitat Centre, New Delhi; Asian Regional Training and Development Organization (ARTDO) International, Philippines; Association of Indian Management Schools (AIMS), Hyderabad; National HRD Network (Delhi Chapter); Associated Chambers of Commerce and Industry of India (ASSOCHAM), New Delhi; BRICS Chamber of Commerce & Industry, New Delhi; National Science Library: National Institute of Science Communication and Information Resources (NISCAIR), New Delhi; American Center Library, New Delhi; The Case Centre, England; and, the United Nations Global Compact Network India, among others.

FORE School of Management also has academic partnerships with leading institutions including the following: Rennes School of Business, France; ESCE International Business School, Paris, France; Vietnam National University, HCM; University of Law and Economics, Vietnam; Kathmandu University School of Management, Kathmandu, Nepal; the University of California, Riverside (IEP), USA; University of Economics, Ho Chi Minh City, Vietnam; Nanyang Business School, Nanyang Technological University, Singapore; School of Business and Economics, Linnaeus University, Sweden; European Institute for Asian Studies, Luxemburg; and, Risk Management Institute, National University of Singapore

How to Apply

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