업무과부하에 따른 직무소진 및 이직의도에 관한 연구: IT 종사자들을 중심으로
A Study on the Job Burnout and Turnover Intention due to Work Overload: Focusing on IT workers
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
본 연구는 IT 종사자들의 업무과부하와 이직의도 간의 관계에서 직무소진의 매개효과를 검증하고자 하였다. 이를 위하여 IT 종사자 499명에게 직무요구, 직무소진(하위요인: 정서적 소진, 냉소, 직업 효능감) 및 이직의도 척도로 구성된 온라인 설문을 실시하였다. 수집된 자료는 SPSS 25.0 프로그램을 활용하여 통계 분석하였고, 매개효과 검증을 위해 Sobel test를 실시하였다. 연구결과, 업무과부하는 정서적 소진, 냉소, 이직의도에 유의한 정적 상관성을 보였다. 업무과부하는 정서적 소진과 이직의도에 유의한 정적 영향을 미치는 것으로 나타났다. 업무과부하와 이직의도 간의 관계에서 정서적 소진의 완전 매개효과가 검증되었다. 연구결과를 기반으로, IT 종사자들의 업무과부하와 이직의도 문제를 예방하기 위해서는 정서적 소진에 개입할 필요성을 논의하였다. 마지막으로 IT 종사자들의 직무소진에 개입할 인적관리 방안과 향후 연구 방향을 제안하였다.
Abstract
This study aimed to verify the mediating effect of job burnout on the relationship between work overload and turnover intention among IT workers. For this study, a sample of 499 IT workers completed the online questionnaires: job demand scale, job burnout(emotional exhaustion, cynicism, professional efficacy) scale, turnover intention scale. The collected data were statistically analyzed using SPSS 25.0, and the Sobel test was conducted to verify the mediating effect. The results showed that work overload had a significant positive correlation with emotional exhaustion, cynicism, and turnover intention. Work overload had significant positive effects on emotional exhaustion and turnover intention. The full mediating effect of emotional exhaustion on the relationship between work overload and turnover intention was verified. Based on the findings, we discussed the necessity of addressing emotional exhaustion to prevent issues related to work overload and turnover intention among IT workers. Finally, we proposed human resource management strategies to address job burnout in IT workers and suggested directions for future research.
참고문헌 (24)
- Sandoval-Reyes, J., "Relationship amongst technology use, work overload, and psychological detachment from work", International Journal of Environmental Research and Public Health, 16(23), pp.4602~ (2019)[DOI]
- Tomer, G., "Features of technology and its linkages with turnover intention and work exhaustion among IT professionals : A multi-study investigation", International Journal of Information Management, 66, pp.102518~ (2022)[DOI]
- Phillips, C., "Relationships between workload perception, burnout, and intent to leave among medical–surgical nurses", JBI Evidence Implementation, 18(2), pp.265~273 (2020)[DOI]
- Basińska-Zych, A., "The concept of preventing negative consequences of work overload based on positive interactions between work and life, and promotion of workers' healthy behaviors", The Central European Review of Economics and Management, 1(2), pp.45~75 (2017)
- Aronsson, G., "A systematic review including meta-analysis of work environment and burnout symptoms", BMC public health, 17, pp.1~13 (2017)[DOI]
- Räsänen, K., "Experienced risk of burnout among teachers with persistent turnover intentions", Teacher development, 26(3), pp.317~337 (2022)[DOI]
- Lubbadeh, T., "Job burnout : A general literature review", International Review of Management and Marketing, 10(3), pp.7~ (2020)[DOI]
- Shih, S. P., "Job burnout of the information technology worker : Work exhaustion, depersonalization, and personal accomplishment", Information & Management, 50(7), pp.582~589 (2013)[DOI]
- Urmanov, B., "A study on factors affecting turnover intention of IT professionals", Eurasian Studies, 10(1), pp.147~174 (2013)[DOI]
- Lee, Y. M, "Analysis of Influential Factors that Impact the Turnover Intention and Turnover Behavior of Newcomersin Information Technology Industries", Journal of Corporate Education and Talent Research, 11(1), pp.59~77 (2009)
- Wijeratne, M. P., "Work stress among information technology professionals in Sri Lanka", Journal of the College of Community Physicians of Sri Lanka, 12, pp.7~19 (2007)[DOI]
- Mosquera, P., "Dealing with work overload in the IT industry", Management Decision, 62(7), pp.2111~2135 (2024)[DOI]
- Lee, J. E., "The effect of job stress of system maintenance staff on emotion exhaustion : Focusing on the moderating effect of professional identity", Journal of Digital Convergence, 16(7), pp.97~105 (2018)[DOI]
- Choi, J. W., "Turnover rate prediction among IT firms according to job satisfaction and dissatisfaction factors : Using topic modeling and machine learning", Journal of the Korean Data And Information Science Sociaty, 23(5), pp.1035~1047 (2021)[DOI]
- Tulili, T. R., "Burnout in software engineering : A systematic mapping study", Information and Software Technology, 155, pp.107116~ (2023)[DOI]
- "A Study on the Improvement and Utilization of Stress Assessment Tools for Emotional Labor Workers" (2018)[URL]
- Shin, K. H., "The Maslach Burnout Inventory-General Survey(MBI-GS) : An Application In South Korea", The Korean Journal of Industrial and Organizational Psychology, 16(3), pp.1~17 (2003)
- Moon, Y. J., "Effects of Individual Motivation on Turnover Intention among Social Workers : Focused on the mediation effects of multiple commitment", Korean journal of social welfare studies, 42(2), pp.493~523 (2011)[DOI]
- M. E. Sobel., "Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models", Sociological Methodology, 13, pp.290~312 (1982)[DOI]
- Tomer, G., "Work and career-related features of technology : A grounded theory study of software professionals", Information and Software Technology, 164, pp.107301~ (2023)[DOI]
- Sibiya, M., "The prediction of turnover intention by means of employee engagement and demographic variables in a telecommunications organisation", Journal of Psychology in Africa, 24(2), pp.131~143 (2014)[DOI]
- Alkahtani, A. H., "Investigating factors that influence employees' turnover intention : A review of existing empirical works", International Journal of Business and Management, 10(12), pp.152~ (2015)[DOI]
- Van Rhenen, W., "The effect of a cognitive and a physical stress-reducing programme on psychological complaints", International archives of occupational and environmental health, 78, pp.139~148 (2005)
- Beas, M. I., "Self-efficacy beliefs, computer training and psychological well-being among information and communication technology workers", Computers in human behavior, 22(6), pp.1043~1058 (2006)[DOI]
