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The present study was conducted to assess the significance of relationship among occupational self-efficacy, emotional intelligence and employee resilience in work-from-home IT employees. Taking into consideration the purpose of the study, 90 work-from-home IT employees (64 male employees and 26 female employees) working in different IT companies in India were selected randomly as a sample. The age range of the selected sample was 25 to 38 years. Occupational Self Efficacy (OSES) scale by Sanjyot Pethe, Sushama Chaudhari, and Upinder Dhar, was used to measure occupational self- efficacy. Schutte Emotional Intelligence Scale (SEIS), by Schutte et al. (1998) measured the emotional intelligence of the participants. Data collection of employee resilience was done by administering the Employee Resilience Scale (EmpRes). Results showed that there is a significant positive correlation between occupational self-efficacy and emotional intelligence, emotional intelligence and employee resilience and occupational self-efficacy and employee resilience. This research could aid employers in identifying employees who are self-efficient, emotionally intelligent, and resilient. Future research on these variables in the post-pandemic situation will provide a more in-depth understanding of the differences between remote and traditional in- office work.
Keywords:
occupational self-efficacy, emotional intelligence, employee resilience, IT industry
Cite Article:
"Exploration Of Occupational Self-Efficacy, Emotional Intelligence And Employee Resilience In Male And Female Work-From-Home IT Employees", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.49 - 55, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306010.pdf
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000205477
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator