
S. Arunachalam
Associate Professor
Marketing and Supply Chain Management
Room Number: W350
Research Expertise
- Marketing & Sales Strategy
- Marketing - Finance Interface
- Latent Variable & Multilevel Modeling
Education
- BE CSE , PSG Tech, Coimbatore, India
- PGPM, Great Lakes, Chennai, India
- PhD, Iowa State University, Ames , IA, USA
About
Arun is an associate professor of marketing at the Rawls College of Business at Texas
Tech. Before joining Rawls College in 2022, Arun was an assistant professor at the
Indian School of Business (ISB), India, and was the academic director of ISB's Centre
for Business Innovation.
Arun is an awarding-winning researcher and teacher. He recently won the prestigious
2020 Sheth Foundation Best Paper award for his research on new product introductions
for low-income consumers in emerging markets. At ISB, he was a three-time winner of
the Professor of the Year award for 2019, 2020, and 2021.
As the director of ISB's Centre for Business Innovation, Arun, in partnership with
Intel India, had secured grants worth $ 275,000 for setting up a virtual centre named
Emerging Technology Centre (ETC). ETC aims to address governance challenges that can
be solved by emerging technologies such as artificial intelligence, internet of things,
drone-based solutions, machine learning-based offerings and more.
Before his PhD, Arun worked in the industry in different capacities as chief operating
officer, executive assistant to the MD, and software engineer.
His research is either published or forthcoming in the Journal of International Business
Studies, Journal of the Academy of Marketing Science, International Journal of Research
in Marketing and Production and Operations management. Arun's research broadly focuses
on a firm's marketing and sales strategies and their impact on firm-level outcomes.
Another focus area includes the interface between the firm's marketing capabilities
and innovation outcomes. He uses various quantitative techniques, including Bayesian
structural equation modeling, causal inference and econometric modeling.
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