Dr. Harindranath R M

Professor (Research)

SRM Institute of Science and Technology, Vadapalani

Area of Expertise: Marketing, Marketing Analytics & Research Methodology

Profile

Dr. Harindranath R M is a Professor (Research) at SRM Institute of Science and Technology, Vadapalani, with extensive experience spanning academia, research, training, consulting, and industry. He has over three decades of professional experience, with academic and research appointments at SRMIST, SRM University–AP, MEASI Institute of Management, Great Lakes Institute of Management, and ARM College of Engineering and Technology.

His academic and research expertise lies in theory building, Structural Equation Modelling (SEM), multivariate statistics, Bayesian statistics, and marketing. He has also been actively involved in research development, PhD supervision, faculty development, statistical consultancy, and research methodology training. At MEASI Institute of Management, he was responsible for research development, headed the research centre, guided PhD scholars, and conducted faculty development programmes.

Dr. Harindranath has significant industry experience, having worked with German Remedies for 14 years before transitioning into academic and research roles. He has also undertaken consultancy assignments in Structural Equation Modelling, multivariate statistics and sales-force training, and has served as a trainer in SPSS and SEM using AMOS.

Academic & Professional Experience

  • Professor (Research), SRM Institute of Science and Technology, Vadapalani – July 2023–Present
  • Associate Professor, SRM University–AP – September 2022–June 2023
  • Associate Professor (Research), MEASI Institute of Management – May 2021–August 2022
  • Assistant Professor, Great Lakes Institute of Management, Chennai – April 2019–May 2021
  • Professor, ARM College of Engineering and Technology – December 2010–May 2021
  • Microsoft Certified Trainer – Dynamics AX 2009, Hari & Co – January 2008–November 2009
  • Center Head, ICFAI – 2004–2007
  • Medical Representative, German Remedies – 1990–2004

Educational Qualifications

  • D. in Management – Anna University, Chennai, 2011–2017
  • MBA – Marketing – Indira Gandhi National Open University
  • MCA – Marketing – Indira Gandhi National Open University

Research Interests

  • Structural Equation Modelling (SEM)
  • Multivariate Statistics
  • Bayesian Statistics
  • Theory Building
  • Marketing Research
  • Consumer Behaviour
  • Sustainability and Green Consumption
  • Pharmaceutical Marketing

Courses / Teaching Expertise

  • Structural Equation Modelling
  • Multivariate Statistics
  • Business Statistics
  • Marketing Research
  • Research Methodology
  • Marketing Analytics
  • SPSS
  • SEM using AMOS
  • Statistical Analysis for Management Research

Research & Publications

Dr. Harindranath’s research contributions include work on pro-environmental behaviour, green consumption, pharmaceutical promotion, promotional support, Bayesian Structural Equation Modelling, and marketing research. His listed publications include:

  • Perceived Government Initiatives: Scale Development, Validation and Impact on Consumers’ Pro-environmental Behaviour
  • Social Media Information Sharing: Is it a Catalyst for Green Consumption among Gen X and Gen Y Cohorts?
  • Pharmaceutical Promotion: Literature Review and Research Agenda – Book Chapter
  • Bayesian Structural Equation Modelling Tutorial for Novice Management Researchers
  • Perceived Impact of Promotional Support: Issues and Scale

Consultancy & Training

  • Consultancy in Structural Equation Modelling (SEM) and Multivariate Statistics
  • Consultancy on Sales Force Training
  • Trainer in SPSS and SEM using AMOS
  • Faculty Development and research capability-building programmes
  • Research guidance and PhD supervision

Key Strengths

  • Strong expertise in quantitative research and advanced statistical methods
  • Extensive experience in SEM, multivariate analysis and Bayesian statistics
  • Research supervision and academic research development
  • Industry experience combined with academic expertise
  • Experience in research methodology training and faculty development

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