Online FDP on Handling Partial Least Squares - Structural Equation Modeling (PLS-SEM)

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Indian Institute of Management Visakhapatnam (IIMV) is happy to announce Online Faculty Development Programme Handling Partial Least Squares - Structural Equation Modeling (PLS-SEM). We invite applications from motivated faculty members and educators in management and allied areas.

IIMV has been conducting several major Programmes like Two-Year Post-Graduate Programme in Management (equivalent to MBA), Two-year Post-Graduate Programme for Executives (PGPEx, equivalent to MBA), Two-Year Post-Graduate Programme in Digital Governance and Management (equivalent to MBA), Fellow Programme in Management (equivalent to Ph.D.). In the past, IIMV conducted Faculty Development Programme (FDP), several Management Development Programme and TEQIP Programme. However, the prevailing coronavirus situation presented an opportunity to design a new online Programme for the faculty members, research scholars, and research associates/academic associates who wish to develop/refresh knowledge of multi-variant data analytics.


Structural Equation Modelling (SEM) is a statistical methodology that is widely used in social sciences research (especially marketing, organizational behavior, human resource management, psychology, behavioral finance and behavioral economics). SEM models are so general that they encompass most of the statistical methods that are currently used in the social and behavioral sciences. SEM allows a researcher to test complex models with multiple pathways, model latent variables with multiple indicators, investigate mediation and moderation in a systematic way and adjust for measurement error in predictor variables. This workshop shall provide the participants a descriptive theoretical and practical knowledge to SEM, moderation and mediation. smartPLS 3 and R (plspm package) will be used to learn all the statistical technique, which is uniqueness of the workshop.

Who Should You Attend?

  • Research scholars, Faculty members who aspire to publish and professional from industry engaged in research and data analysis



  • Introduction to PLS-SEM, myth and reality
  • Difference between Covariance-based SEM and PLS-SEM
  • Type of Constructs: Reflective and Formative
  • Confirmatory Factor Analysis: (Formative construct, reflective constructs)
  • Higher Order confirmatory Factor Analysis (Confirmatory Tetrad Analysis)
  • Path Analysis
  • Mediation Analysis : Introduction
  • Sequential Mediation Analysis
  • Parallel Mediation Analysis
  • Moderation Analysis: Introduction
  • Moderation Analysis: Interaction Effect
  • Moderation Analysis: Multi-Group Analysis
  • Moderated Mediation
  • Mediated Moderation
  • Use of PLS SEM in Different Domains of Management: Marketing, HR/OB, Finance, Operation, and Information System



The Programme will be conducted from April 19-22, 2021. There will be two sessions per day from 6:00 PM to 7:30 PM and 7:45 PM to 9:15 PM as per the Indian Standard Time (IST).

Registration Fee (Including GST)

Participant Category

Registration Fees

Research Scholars

₹ 2360

Faculty Members

₹ 4720


₹ 9440

Foreign Participants

USD 60

Last Date for Registration Fee

Registration will close on April 11, 2021. 


The registered participants will be awarded a Digital Certificate of Participation.

Program Director


Amit Shankar
Assistant Professor (Marketing)(Director, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.)

Prof. Amit Shankar is Assistant Professor at IIM Visakhapatnam in the area of Marketing Management. He is PhD from Vinod Gupta School of Management, IIT Kharagpur. He has Academic experience of 5 years working with renowned Institutes. He has published in leading journals (ABDC journal classification). He has conducted workshops on SPSS, Amos, SmartPLS, Advanced Excel, and Process Macro in premier institutes of India.

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Indian Institute of Management Visakhapatnam

Andhra Bank School of Business Building
Andhra University Campus
Visakhapatnam – 530 003
 +91 891-282 4444