عبء العمل والاحتراق الوظيفي لدى موظفي الجامعات: الدور المفاقم للإرهاق الرقمي في البيئة الأكاديمية الرقمية
DOI:
https://doi.org/10.59759/business.v5i3.1980الكلمات المفتاحية:
عبء العمل؛ الاحتراق الوظيفي؛ الإرهاق الرقمي؛ الضغط النفسي الناتج عن التكنولوجيا؛ نموذج متطلبات وموارد العمل؛ نظرية الحفاظ على الموارد؛ التعليم العالي؛ موظفو الجامعة؛ الأردنالملخص
الأهداف: تتفاقم ظاهرة الاحتراق الوظيفي بين الموظفين بشكل متزايد مع سعي الجامعات إلى مواكبة المتطلبات التقليدية المتزايدة باستمرار بالتزامن مع تحول رقمي غير مسبوق. تبحث هذه الدراسة الكمية المقطعية في المدى الذي يتنبأ فيه عبء العمل بالاحتراق الوظيفي لدى موظفي الجامعات في الأردن، مع استكشاف الإرهاق الرقمي كمتغير معدل في العلاقة بين عبء العمل والاحتراق الوظيفي.
المنهجية: اعتمدت الدراسة منهجًا كميًا باستخدام المسح المقطعي لفحص العلاقات بين عبء العمل والإرهاق الرقمي والاحتراق الوظيفي. تم جمع البيانات من 300 موظف موزعين على ثلاث جامعات في الأردن، وتم اختبار الفرضيات باستخدام برنامجSPSS وملحق PROCESS لتقييم الدور المعدل للإرهاق الرقمي.
النتائج: وجود علاقات معنوية بين عبء العمل ومستويات الاحتراق الوظيفي لدى الموظفين. باستخدام تحليل الارتباط والانحدار الهرمي، وجدنا أن أعباء العمل لدى الموظفين ترتبط إيجابياً بمستويات احتراقهم الوظيفي، كما هو متوافق مع نظرية متطلبات وموارد العمل (JD-R). كما وجدنا أنّ الإرهاق الرقمي يؤدي إلى تفاقم تأثير عبء العمل على الاحتراق الوظيفي بشكل كبير، مما يشير إلى أنه كلما زاد الإرهاق الرقمي لدى الموظف، زاد احتمال معاناته من الضغط النفسي الناتج عن العمل تحت عبء عمل مرتفع.
الاستنتاجات: تشير نتائج هذه الدراسة إلى أهمية توفير برامج متخصصة للعافية الرقمية (Digital Wellness Programs) كآلية مؤسسية تهدف إلى تمكين الموظفين من وضع حدود مهنية فاعلة والحفاظ عليها في بيئة العمل الرقمية. كما تقدم الدراسة مضامين تطبيقية تسهم في تعزيز كفاءة وإنتاجية القوى العاملة المتمكنة رقمياً والعاملة عبر الإنترنت، وذلك من خلال التخفيف من حدة الاحتراق الوظيفي لديهم.
التنزيلات
المراجع
Abuhammad, S., Alzoubi, K. H., Al-Azzam, S., Karasneh, R., Masadeh, M. M., & Alameddine, M. (2025). Work-life balance, job satisfaction, and burnout among nurses in Jordan: A cross-sectional study. PLOS One, 20(10), e0334603. https://doi.org/10.1371/journal.pone.0334603
Al-Shoqran, R. I., Alfandi, A. M., Alsawa, N. A., Al-Shboul, M. K., Katatneh, S. M., & Ammari, R. M. (2021). The Level of Job Burnout among the Faculty Members of the Private Jordanian Universities in Jordan and the Effect of Gender and Experience Variables on It. International Education Studies, 14(4), 83-92.
Al’Ararah, K., Çağlar, D., & Aljuhmani, H. Y. (2024). Mitigating Job Burnout in Jordanian Public Healthcare: The Interplay between Ethical Leadership, Organizational Climate, and Role Overload. Behavioral Sciences, 14(6), 490. https://doi.org/10.3390/bs14060490
Alzoubi, M. M., Al-Mugheed, K., Oweidat, I., Alrahbeni, T., Alnaeem, M. M., Alabdullah, A. A. S., ... & Hendy, A. (2024). Moderating role of relationships between workloads, job burnout, turnover intention, and healthcare quality among nurses. BMC psychology, 12(1), 495.
Asfahani, A. M. (2024). Link between job burnout antecedents and consequences: An empirical study on higher education faculty members in the Saudi context. Journal of Applied Research in Higher Education, 16(2), 629–649. https://doi.org/10.1108/JARHE-03-2023-0125
Ayyagari, Grover, & Purvis. (2011). Technostress: Technological Antecedents and Implications. MIS Quarterly, 35(4), 831. https://doi.org/10.2307/41409963
Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. (2023). Job Demands–Resources Theory: Ten Years Later. Annual Review of Organizational Psychology and Organizational Behavior, 10(1), 25–53. https://doi.org/10.1146/annurev-orgpsych-120920-053933
Baurai, S., Sekhar, C., Kumar, D., & Raj, A. (2025). Digitalization and employee well-being: A fuzzy-tism approach of remote work stressors. Journal of Management & Organization, 1–25. https://doi.org/10.1017/jmo.2025.10059
Beyea, D., Lim, C., Lover, A., Foxman, M., Ratan, R., & Leith, A. (2025). Zoom fatigue in review: A meta-analytical examination of videoconferencing fatigue’s antecedents. Computers in Human Behavior Reports, 17, 100571. https://doi.org/10.1016/j.chbr.2024.100571
Brislin, R. W. (1986). The wording and translation of research instruments. In Field methods in cross-cultural research (Cross-Cultural Research and Methodology Series, Vol. 8, pp. 137–164). Sage Publications.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.
Bryman, A. (2016). Social Research Methods. Oxford University Press.
Degbey, W. Y., Hannele, K., & Saarenketo, S. (2023). Digital strain interventions and employee well-being: A meta-analytic review. Computers in Human Behavior, 145, 107745.
DeVellis, R. F. (2021). Scale development: Theory and applications. Sage Publications.
Dong, Y., Wang, M., Liu, E., & Xing, L. (2025). Causes of digital fatigue among hotel employees in the digital age: Configuration study based on fsQCA. Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/APJML-01-2025-0181
Groves, R. M. (2006). Nonresponse Rates and Nonresponse Bias in Household Surveys. Public Opinion Quarterly, 70(5), 646–675. https://doi.org/10.1093/poq/nfl033
Hadjri, M. I., Leovani, E., Murti, K., Adam, R., & Anggraini, B. N. (2025). Digital Fatigue, Burnout, and Career Setbacks in Banking. Jurnal Manajemen, 29(2), 227–252. https://doi.org/10.24912/jm.v29i2.2553
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Sage.
Hayes, A. F. (2024). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (3rd ed.). Guilford Press.
Jabali, A. H. (2025). Psychological well-being of medical and dental students in Saudi Arabia post worldwide pandemic: a cross sectional study. BMC Medical Education, 25(1), 1238. https://doi.org/10.1186/s12909-025-07817-0
Jaiswal, S., Asper, L., Long, J., Lee, A., Harrison, K., & Golebiowski, B. (2019). Ocular and visual discomfort associated with smartphones, tablets and computers: What we do and do not know. Clinical and Experimental Optometry, 102(5), 463–477. https://doi.org/10.1111/cxo.12851
Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed). Guilford Publications.
Kurniawan, M. B., Sutono, S., & Harjanto, T. (2024). Zoom Fatigue Among Undergraduate Nursing Students: A Descriptive Study. Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education, 13(1), 1-7. https://doi.org/10.22146/jpki.83827
Marsh, E., Perez Vallejos, E., & Spence, A. (2024). Digital workplace technology intensity: qualitative insights on employee wellbeing impacts of digital workplace job demands. Frontiers in Organizational Psychology, 2, 1392997.
Mosleh, S. M., Kasasbeha, M. A., Aljawarneh, Y. M., Alrimawi, I., & Saifan, A. R. (2022). The impact of online teaching on stress and burnout of academics during the transition to remote teaching from home. BMC Medical Education, 22(1), 475. https://doi.org/10.1186/s12909-022-03496-3
Nicholls, H., Nicholls, M., Tekin, S., Lamb, D., & Billings, J. (2022). The impact of working in academia on researchers’ mental health and well-being: A systematic review and qualitative meta-synthesis. PLOS ONE, 17(5), e0268890. https://doi.org/10.1371/journal.pone.0268890
Özdemir, B., & Demir, A. (2019). Romantic relationship satisfaction, age, course load, satisfaction with income and parental status as predictors of instructors’ burnout: Evidence from a correlational study. Current Psychology, 38(5), 1083–1098. https://doi.org/10.1007/s12144-017-9724-3
Özdemir, M., & Demir, B. (2022). Predictors of emotional exhaustion in higher education: A cross-cultural study across three countries. International Journal of Stress Management, 29(3), 214–229.
Rahmi, K. H., Fahrudin, A., Supriyadi, T., Herlina, E., Rosilawati, R., & Ningrum, S. R. (2025). Technostress and cognitive fatigue: Reducing digital strain for improved employee well-being: A literature review. Multidisciplinary Reviews, 8(12), 2025380. https://doi.org/10.31893/multirev.2025380
Romero-Rodríguez, J. M., Hinojo-Lucena, F. J., Kopecký, K., & García-González, A. (2023). Digital fatigue in university students as a consequence of online learning during the Covid-19 pandemic. Educación XX1, 26(2), 165-184. https://www.redalyc.org/journal/706/70675286007/70675286007
Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436. https://doi.org/10.1080/00207594.2012.680460
Sarangal, R. K., & Nargotra, M. (2022). Digital fatigue among students in current covid-19 pandemic: A study of higher education. Gurukul Business Review, 18(1), 36-71. https://doi.org/1 0.48205/gbr.v18.5
Schaufeli, W. B., Desart, S., & De Witte, H. (2020). Burnout Assessment Tool (BAT)—Development, Validity, and Reliability. International Journal of Environmental Research and Public Health, 17(24), 9495. https://doi.org/10.3390/ijerph17249495
Shetty, N. V., Shareena, P., Mehar, A., & Shetty, M. C. (2025). Do digital fatigue and psychological safety influence faculty retention? Examining the roles of advocacy behavior and green HR practices. Knowledge and Performance Management, 9(2), 124-141. doi:10.21511/kpm.09(2).2025.10
Spector, P. E., & Jex, S. M. (1998). Development of four self-report measures of job stressors and strain: Interpersonal Conflict at Work Scale, Organizational Constraints Scale, Quantitative Workload Inventory, and Physical Symptoms Inventory. Journal of Occupational Health Psychology, 3(4), 356–367. https://doi.org/10.1037/1076-8998.3.4.356
Spector, P. E., Chen, P. Y., & O'Connell, B. J. (2000). A longitudinal study of relations between job stressors and job strains while controlling for prior negative affectivity and strains. Journal of Applied psychology, 85(2), 211.
Supriyadi, T., Sulistiasih, S., Rahmi, K. H., Fahrudin, A., & Pramono, B. (2025). The impact of digital fatigue on employee productivity and well-being: A scoping literature review. Environment and Social Psychology, 10(2). https://doi.org/10.59429/esp.v10i2.3420
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The Impact of Technostress on Role Stress and Productivity. Journal of Management Information Systems, 24(1), 301–328. https://doi.org/10.2753/MIS0742-1222240109
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Wang, Q., & Yao, N. (2025). Understanding the impact of technology usage at work on academics’ psychological well-being: a perspective of technostress. BMC psychology, 13(1), 130.
World Health Organization. (2019, May 28). Burn-out an “occupational phenomenon”: International Classification of Diseases. WHO. https://www.who.int/news/item/28-05-2019-burn-out-an-occupational-phenomenon-international-classification-of-diseases
Zhang, X., & Deng, G. (2025). Protecting work engagement from digital fatigue: The contingent roles of leadership style and network ties. Frontiers in Psychology, 16, 1645057. https://doi.org/10.3389/fpsyg.2025.1645057
Zinke, J., Vahle-Hinz, T., & Hoppe, A. (2024). A longitudinal study on ICT workload in the extended stressor-detachment model: Testing moderated mediation models for extended work availability and workplace telepressure. Work & Stress, 38(1), 73–89. https://doi.org/10.1080/02678373.2023.2239179
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