The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Employee Retention Strategies Through Predictive Data Analytics and AI
Abstract
One of the main challenges today's organizations face is retaining talented and competent employees. Managing and keeping employees has become a concern in the increased competition and changing market demand. The human resource management team should always be ready to meet such threats from the competitor's talent poaching attitudes and to retain their well-performing employees. It is strategically necessary to develop plans to identify the potential employees who may submit the papers due to short-term benefits and initiate preventive actions to stop them from leaving the organization. The conventional techniques of identifying such employees have often proven error-prone and ineffective due to delays in arriving at conclusions. There is a great opportunity available to management decision-makers to use digital assets, such as employee-centric data, to predict the chances of employees leaving the organization soon and create retention strategies around the outcome of data analysis.
Related Content
|
Wasantha Rajapakshe.
© 2026.
18 pages.
|
|
Wasantha Rajapakshe.
© 2026.
24 pages.
|
|
R. Vettriselvan, Palanivel Rathinasabapathi Velmurugan, Ruben Anto Michael, A. Deepan, A. Vanitha.
© 2026.
26 pages.
|
|
Manasvi M. Kamat, Manoj S. Kamat, Nigel Barreto, Prashant Kalshetti, Abhijeet Das, P. Selvakumar, Manjunath T. C..
© 2026.
28 pages.
|
|
N. Vinodh, A. K. Subramani.
© 2026.
40 pages.
|
|
K. Saranya.
© 2026.
28 pages.
|
|
S. Sangeetha.
© 2026.
14 pages.
|
|
|