Poonam Arora

Poonam Arora has rich and vivid experience of more than 18 years in imparting knowledge in the field of Data Sciences, Quantitative Techniques, Research, Analytical Skill Building, and HR. She is a research enthusiast and an active researcher who has more than 50 publications to her credit. She has been the recipient of numerous academic achievement awards for her contribution to research in management. She is a passionate number cruncher and is inclined towards innovating ways to analyze data and apply the knowledge in research surveys. She is an active member of data analytics communities and is associated with editorial advisory boards in numerous national and international peer-reviewed journals and publications. She is currently associated as an Associate Professor with St. Kabir Institute of Professional Studies, Ahmedabad.

Publications

Predictive Analysis of Consumers' Immunity Literacy Towards Immunity Products: A Statistical Study Using Discriminant Method
Predictive Analysis of Consumers' Immunity Literacy Towards Immunity Products: A Statistical Study Using Discriminant Method
Poonam Arora, Nidhi Arora. © 2024. 17 pages.
The outbreak of COVID-19 pandemic and the subsequent recurrences have profound effect on psychological, social and physical health of people. The fear of Corona virus has posed...
Exploring Work Constructs Driving Satisfaction in the Digital Era with Special Reference to Millennials
Exploring Work Constructs Driving Satisfaction in the Digital Era with Special Reference to Millennials
Poonam Arora, Nidhi Arora. © 2023. 18 pages.
Generation Y, also known as Millennials, are twined to be job-hoppers. This generation interacts tremendously well with technology and known to use it to shape their efforts in...
Understanding the Need for Redesigning Teaching and Learning for Indian Educators in the Digital Age
Understanding the Need for Redesigning Teaching and Learning for Indian Educators in the Digital Age
Poonam Arora, Nitin Sankar Pillai. © 2023. 26 pages.
Teaching and learning processes are layered within social, cultural, and technological constructs with each of these directly or indirectly influencing stakeholders and vice...