PEOPLE ANALYTICS AND BIG DATA IN HRM: A BIBLIOMETRIC ANALYSIS

Abstract

Organizations have begun to use data in making better decisions in recent years and the field of human resource management (HRM) has been
no exception to this change. Historically, HR decisions were made on the basis of experience and intuition, but as digital technologies are
gaining more and more traction, the emphasis on using data and analytics to manage employees is increasingly becoming popular. This has
seen the rise of people analytics and big data in the HRM where organizations have been using data to learn the behaviour of employees,
enhance performance and aid strategic decision making (Arora et al., 2021).People analytics can be defined as the application of data analysis
methods to make rational decisions regarding employees whereas big data allows organizations to process a significant amount of structured
and unstructured data in a variety of sources (Sharma, 2026). Combined, they assist the organization in understanding more about recruitment,
employee engagement, performance management, and retention (Lengnick-Hall et al., 2018). The application of modern technologies, such as
artificial intelligence and machine learning, has enhanced the role of analytics in HR even more, making it more predictive and strategic in its
nature. Meanwhile, the increasing popularity of this field has led to numerous research studies being published in many disciplines.
Nonetheless, the available literature remains sporadic, and it is necessary to comprehensively analyze and comprehend the evolution,
tendencies, and the major themes in this field. It is at this point that bibliometric analysis comes in handy since it aids in analyzing the framework
of a study, unravelling the influential researches and also in bringing out new areas (Saputra et al., 2022).
In that way, the current paper is expected to offer a thorough bibliometric review of people analytics and big data in HRM. It is preoccupied
with the cognition of the trends in publication, sources, important papers and major research themes in the sphere. In such a way, the study
would be important to the researchers and practitioners and contribute to deciding the research directions in this rapidly expanding field in the
future (Nocker & Sena, 2019).