Work-Life Balance Analysis Score Model
Kalli Srinivasa Nageswara Prasad1, M.V.Vijaya Saradhi2
1Dr. Kalli Srinivasa Nageswara Prasad,Professor, Department CSE, Ramachandra College of Engineering, Eluru, Andhra Pradesh.
2Dr.M.V.Vijaya Saradhi, Professor, Dept. Of CSE, ACE Engineering College, Ghatkesar, Hyderabad, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 4552-4558 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B5105129219/2019©BEIESP | DOI: 10.35940/ijeat.B5105.129219
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Most of the companies are finding innovative ways to provide work-life balance to employees. Some of the measures creches for their children, flexible work timings, paternity leaves among others. Some of the companies are looking at technology to provide a better work-life balance. With the increasing need for a more integrated model of analyzing the work-life balance, in this manuscript, a contemporary model of machine learning-based work-life balance score analysis system is proposed, which indicates potential performance over the training and test pattern used for analysis. Though the scope for improving the accuracy of the system exists, still in terms of the pragmatic application of the model, it can be stated that the model is effective and has a scope of implementation over the real-time conditions.
Keywords: Work-Life Balance, Machine learning in work-life balance, ML-WLBI, Neal Whitten Work-Life Model.