The Impact of AI and IoT-Driven Systems on the Social and Psychological Aspects of Employee Management in the Banking Sector

Authors

  • Kamal Gulati Associate Professor, Amity University, Noida, Uttar Pradesh, India,
  • Bhuvan Unhelkar Muma College of Business, University of South Florida, Florida, USA
  • Eti Khatri Associate Professor, Department of Management Studies, Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India,
  • Sikandar Mohd. Abdul Associate Professor, Department of Management and Commerce, Maulana Azad National Urdu University, Hyderabad, India,
  • Somya Choubey Assistant Professor - Selection Grade, Department of Commerce, Manipal University Jaipur, Jaipur, Rajasthan, India,
  • Ity Patni Associate Professor, Department of Business Administration, Manipal University Jaipur, Jaipur, Rajasthan, India,

Keywords:

Artificial Intelligence, Sensors, Employee performance, IoT, Banking

Abstract

Artificial intelligence (AI) and the Internet of Things (IoT) are highly disruptive, having a profound impact on the work and life of every individual. This impact is escalating rapidly with the advent of newer chatbots, analytical tools and user interfaces. Employee management is a major area of impact. AI and IoT automate routine tasks, optimize decision-making and reduce decision risks for employees and their managers. This study reports on the significant impact of AI and IoT based systems on the social and psychological aspects of employee management. This study is based on a survey of 200 respondents from the banking sector using direct random sampling.

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Published

13.12.2023

How to Cite

Gulati, K. ., Unhelkar, B. ., Khatri, E. ., Abdul, S. M. ., Choubey, S. ., & Patni, I. . (2023). The Impact of AI and IoT-Driven Systems on the Social and Psychological Aspects of Employee Management in the Banking Sector . International Journal of Intelligent Systems and Applications in Engineering, 12(8s), 357–366. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4127

Issue

Vol. 12 No. 8s (2024)

Section

Research Article

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