Leveraging Behavioural Biometrics for Predicting Employee Engagement and Retention: A Theoretical Framework for Successful Implementation
In today's dynamic work environments, employee engagement and retention are very much important for organizational success. Traditional assessment tools like surveys and performance reviews are now very much insufficient in capturing the real-time behavioural changes of the employees. This paper discusses the use of behavioural biometrics which is a study that monitors human digital behaviour patterns as a predictive tool for analysing their other behaviour, which can also be linked to study the employee engagement and retention. Behavioural biometric measures like the keystroke dynamics, mouse movement, voice tone, and screen navigation, offer a non-intrusive, continuous monitoring of user behaviour. By carefully analysing all the behavioural patterns through the application of artificial intelligence and machine learning frameworks, organizations can proactively identify the signs of disengagement, interest to work, or the intent to leave of their employees. This paper proposes a step-wise theoretical framework that is integrating the behavioural biometrics with human resource behaviour analytics for making the predictive insights. Furthermore, the study in this research paper also outlines the implementation challenges such as privacy concerns, data ethics, and system integration, and their possible solutions or way-forward. This paper also contributes to the theoretical advancement in the Individual Behavioural study, HR Tech and organizational behaviour study and provides a foundational model for the organizations which are aiming to apply behavioural analytics into employee management. Ultimately, utilizing the concepts of behavioural biometrics will also redefine the employee engagement strategy by supporting the shift from a reactive management to making it more of a proactive approach, which will enable the organizations to retain the top performing talent and foster a culture of continuous engagement.
Authors
- Pankaj Kumar
Publication Details
- Journal
- International Journal For Multidisciplinary Research
- Published
- 2025-07-19
- DOI
- https://doi.org/10.36948/ijfmr.2025.v07i04.51457
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00