Rameshwar Arora

About

Dr. Rameshwar Arora has obtained his Ph.D. degree from the Indian Institute of Management Indore. His doctoral thesis is focused on the domestic and international strategies of family-owned Indian Business Groups. His research work is presented at various international conferences such as the Academy of International Business, British Academy of Management, European Group of Organizational Studies, and PAN-IIM. His current area of interest is emerging economy firms' internationalization and international strategy of business group affiliate firms.

He holds an engineering degree in Computer Science & Engineering from the National Institute of Technology Raipur. He has worked in Marketing & Sales analytics CoC with McKinsey Knowledge Center Gurugram.

Currently, he is the Assistant Professor of Strategic Management and International Business at O. P. Jindal Global University, Sonipat. Additionally, he is the Assistant Dean for BBA (Hons.) Family Business program.

Employment

• O. P. Jindal Global University Associate Dean & Assistant Professor
  2021 - Present
• Mckinsey Knowledge Center Gurugram Analyst
  2011 - 2014

Education

• Indian Institute of Management Indore Ph.D.
  2014 - 2021
• National Institute of Technology Raipur Bachelor of Technology
  2007 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Application of Emerging Technology in an Emerging Economy: Case of GovTech Through Blockchain-Based Seeds Traceability in Jharkhand
  2025 DOI: 10.1007/978-981-96-4170-3_10
  +Save
• The Use of AI in Pharma: Results from Mapping of Peer-Reviewed and Grey Literature Across the World
  2025 DOI: 10.1007/978-3-031-81086-2_2
  +Save
• A truncated deep neural network for identifying age groups in real time images
  JOURNAL OF INTERDISCIPLINARY MATHEMATICS 2022 DOI: 10.1080/09720502.2021.2016917
  +Save
• Pendulating or resonating? A case of echo-chambers in twitter
  JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY 2022 DOI: 10.1080/09720529.2021.2019442
  +Save
• Understanding public opinions on social media for financial sentiment analysis using AI-based techniques
  INFORMATION PROCESSING & MANAGEMENT 2022 DOI: 10.1016/J.IPM.2022.103098
  +Save
• Socioeconomic impact due to COVID-19: An empirical assessment
  Information Processing & Management 2021 DOI: 10.1016/j.ipm.2021.102810
  +Save