Employee retention in post Covid scenario
A graph theoretic approach
Bibliographic Data
| ID | 15796355 |
|---|---|
| Authors | Anushree Chauhan (J.C. Bose University of Science & Technology, YMCA, corresponding author), Ritu Gandhi Arora (0000-0001-6057-8566, corresponding author) |
| Year | 2022 |
| Pages | 7782-7798 |
| Publication date | 2022-07-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Health Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2550-696X • E-ISSN: 2550-6978 |
| Publisher | Universidad Tecnica de Manabi (PUBLISHER • EC) |
| DOI | 10.53730/ijhs.v6ns4.10247 |
| OpenAlex | W4291189705 |
| Language | EN |
| References cited | 3 |
The impacts of COVID-19 on employees and workplaces across the globe have been dramatic. There is a major shift in work practices and employees' mind-sets like working from home, virtual teamwork, social distancing, stress, and unemployment. Human resource is the active factor on which the success and failure of an organization are dependent and organizations are striving hardtop in maintaining and motivating a talented pool of employees to save on their cost, time, efficiency, and effectiveness. The present research aims to study the employee retention in the ITeS sector in the post-Covid scenario i.e., after the second wave when the turnover rate of employees was very high due to varied reasons like high demand for IT professionals, data security, and privacy, etc. Data was collected using a self-administered questionnaire, circulated through the mail, Google links, WhatsApp and LinkedIn. A graph-theoretical approach is used to analyze the retention of employees in the ITeS sector to obtain an employee retention index which helped in comparing the retention of employees within the industry and outside the industry
Business · Coronavirus disease 2019 (COVID-19 · Economics · Employee retention · Globe · Human resource management · Job security · Knowledge management · Management · Outsourcing · Public relations · Retention rate · Teamwork · Turnover · Work (physics · Computer Science · Engineering · Psychology · Supply Chain Resilience and Risk Management · Marketing
| Highly cited | No |
|---|