In this study, it is aimed to examine the HR analytics practices applied in different businesses by utilizing the views and experiences of HR professionals. Within the framework of this aim, the research was constructed with qualitative method. The participants of the study consist of human resources professionals who work/are working in private sector organizations in Turkey. In this research, people from different ages, genders, sectors and positions were reached through purposive sampling method. Within the scope of the research, semi-structured interviews were conducted with 11 people from different positions and sectors. The data analyzed by content analysis method are presented as themes. Maxqda Analytics Pro program was used to visualize and present the data. Retention, turnover, exit interviews, recruitment, training, performance and compensation management, employee engagement and satisfaction were identified as themes. According to the results of the study, it is seen that the main aim of HR analytics practices is to obtain data about the employee, to retain and understand the employee. It has been revealed that more descriptive HR analytics are used. It can be stated that there are many metrics developed for recruitment and different employee retention practices. It is hoped that this study will expand the discussions on HR analytics and shed light on practitioners.
Ethics committee approval for the study was obtained from the Tarsus University Ethics Committee on May 16, 2024, with decision number 2024/46. The author declares that the study was conducted in accordance with research and publication ethics. The author confirms that AI tools has been employed only to enhance spelling and grammar, as well as augment the overall readability of the article. The author declares that there are no financial conflicts of interest involving any institution, organization, or individual associated with this article. The author declares that the whole research processes was carried out by the sole declared author.
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Primary Language | English |
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Subjects | Human Resources Management, Workforce Planning |
Journal Section | Research Articles |
Authors | |
Publication Date | September 30, 2025 |
Submission Date | October 6, 2024 |
Acceptance Date | August 20, 2025 |
Published in Issue | Year 2025 Volume: 12 Issue: 3 |
This work is licensed under a Creative Commons Attribution 4.0 International License.
The author(s) bear full responsibility for the ideas and arguments presented in their articles. All scientific and legal accountability concerning the language, style, adherence to scientific ethics, and content of the published work rests solely with the author(s). Neither the journal nor the institution(s) affiliated with the author(s) assume any liability in this regard.