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    • Home
    • About Us
    • Process & Policies
    • Scientific Journals
    • Publishing Plans
    • Disclaimer
    • Contribution
    • Collaborations
    • Work With Us
  • Home
  • About Us
  • Process & Policies
  • Scientific Journals
  • Publishing Plans
  • Disclaimer
  • Contribution
  • Collaborations
  • Work With Us

INDO-ASIAN JOURNAL OF SOCIAL SCIENCE AND MANAGEMENT RESEARCH

The Indo-Asian Journal of Social Science and Management Research (IAJSSMR.COM) is a peer-reviewed journal focusing on significant business issues, different strategies, contrasting possibilities, effects on various social groups and economic players, and policy solutions. This international journal seeks to support ongoing professional training and research. The Journal aims to foster interdisciplinary research at the intersection of social science and management. This journal aims to provide a platform for scholars, researchers, and practitioners to publish their work and engage in discussions regarding issues, trends, and developments in the field of social sciences and management. 

This journals will cover a wide range of topics, including but not limited to cultural studies, Economic development, Political science, Business management, International relations, Sociology, Anthropology, Environmental studies, and Legal studies



Editor-in Cheif: Dr Arunprasad P. 

Founder & CEO: BullziAi, BullsEyeExperts & Prismatic Experts

Formly Associate Professor, 

Dubai Business School, University of Dubai

Ex-IIT Faculty @VGSOM, IIT KHARAGPUR

Email id: ceo@bullseyeexperts.com

INDO-ASIAN JOURNAL OF INFORMATION RESEARCH AND TECHNOLOGY

This journal (IAJIRT.COM) aims to provide a platform for scholars, researchers, and practitioners to publish their work and engage in discussions regarding issues, trends, and developments in the field of exciting new methodological developments in traditional areas of research. This journal will publish and presents original contribution on statistical Applications, Statistical Methodology, and Statistical Reviews. This journals will cover a wide range of topics including but not limited to Statistical Modelling, Applied Statistical methods, Theoretical Statistical methods, Analytical techniques, Data science, Data mining, Machine learning, Interpretable machine or deep learning, and AutoML.



Editor-in Cheif: Dr Bhawna Agarwal

Professor, Jaypee Institute Of Information Technology, Noida

Email id: bhawna.agarwal@jiit.ac.in




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