Exploring the Transformational Potential of Emerging Technologies in Human Resource Analytics: A Comparative Study of the Applications of IoT, AI, and Cloud Computing

Authors

  • Vamsikrishna Bandari University of South Australia

Abstract

Human Resource (HR) analytics is a rapidly evolving field that leverages data and technology to provide insights into various HR functions such as talent management, workforce planning, and employee engagement. This research paper focuses on exploring the applications of three emerging technologies - IoT, AI, and cloud computing - in HR analytics. The study highlights the various ways in which IoT can be used in HR analytics, including employee monitoring, workplace safety, talent management, and workforce planning. The use of smart badges, wearables, and sensors provides HR professionals with valuable data to analyze employee performance, collaboration, and productivity, identify areas of improvement in the workplace, and optimize workforce planning and scheduling. Furthermore, the research delves into the different applications of AI in HR analytics, such as recruitment, performance management, employee engagement, diversity and inclusion, and workforce planning. The use of AI algorithms helps HR professionals identify the best-fit candidates, automate the screening process, and make predictions about employee performance and retention. Additionally, AI can help identify and mitigate bias in the recruitment and performance management processes, and provide HR professionals with insights into what drives employee engagement and areas for improvement. The study also highlights the different applications of cloud computing in HR analytics, including data storage and management, data processing and analysis, predictive analytics, mobile access, collaboration, and integration. Cloud-based HR analytics solutions provide HR professionals with a cost-effective and scalable solution to store and manage large amounts of HR data, access and process data quickly and efficiently, and make data-driven decisions about workforce planning and talent management. The applications of IoT, AI, and cloud computing in HR analytics are transforming the way HR professionals approach talent management, workforce planning, and employee engagement. By leveraging the power of these emerging technologies, HR analytics can provide valuable insights to organizations, helping them make data-driven decisions and improve their overall performance. The study recommends that organizations invest in these technologies and build their capabilities to remain competitive and meet the changing demands of the modern workplace.

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Published

2019-12-11

How to Cite

Bandari, V. (2019). Exploring the Transformational Potential of Emerging Technologies in Human Resource Analytics: A Comparative Study of the Applications of IoT, AI, and Cloud Computing. Journal of Humanities and Applied Science Research, 2(1), 15–27. Retrieved from https://journals.sagescience.org/index.php/JHASR/article/view/41