The Effect of After-Hours Mobile Connectivity on Work-Family Conflict and Psychological Detachment: A Meta-Analysis Study
Article Number: e2025555 | Available Online: November 2025 | DOI: 10.22521/edupij.2025.19.555
Ecehan Kazancı Yabanova
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Abstract
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Background/purpose. Mobile technologies have brought about significant changes in human life over the past quarter-century. The greatest advantages offered by these technologies, which have had a profound impact across a wide range of areas from work life to private life, are connectivity and mobility. This advantage, which allows individuals to stay connected anytime, anywhere, eliminating time and space constraints, also brings with it certain problems. Particularly during the quarantine period of the pandemic, working life around the world was attempted to be carried out through mobile technologies, and these technologies made a significant contribution to ensuring that working life could continue without interruption. After the pandemic, employers began to increasingly demand that their employees deal with work-related issues after-hours, using the capabilities of mobile technologies. This situation creates an increased workload for employees even during their rest hours, seriously affecting the concepts of work-family conflict and psychological detachment, which are extremely important for working life. Materials/methods. The aim of this study is to reveal the effects of after-hours work-related mobile connectivity on work-family conflict and psychological detachment through a meta-analysis. Studies conducted between 2020 and 2025 in Web of Science and Scopus were screened, and 24 articles suitable for analysis were selected from the 138 identified articles. Results. The results of the study show that as after-hours mobile connectivity (AHMC) significantly increases work-family conflict (WFC) and significantly decreases psychological detachment (PD). The meta-analysis of studies conducted by researchers from different countries after the pandemic reveals that mobile connectivity demands outside working hours have emerged as a significant problem area. |
Conclusion. The research findings provide important insights for developing mobile connectivity within work-life balance to maximise the benefits offered by mobile technologies.
Keywords: After-hours, mobile connectivity, work-family conflict, psychological detachment
ReferencesAgarwal, P., & Kumar, N. (2023). Impact of use of communication technologies after working hours on work life balance and organisational commitment. Journal of Statistics & Management Systems, 26(5), 1325-1335. https://doi.org/10.47974/JSMS-1188
Aljabr, N. (2025). The symphony of identities: Harmonizing work, life, and after-hours connectivity, Current Psychology, 44, 9208–9220. https://doi.org/10.1007/s12144-025-07700-7
Allen, T. D., Herst, D. E. L., Bruck, C. S., & Sutton, M. (2000). Consequences associated with work–to–family conflict: A review and agenda for future research. Journal of Occupational Health Psychology, 5(2), 278–308. https://doi.org/10.1037/1076-8998.5.2.278
Andrade, C., & Matias, M. (2022). Work-related ICT use during off-job time, technology to family conflict and segmentation preference: a study with two generations of employees. Information, Communication & Society, 25(14), 2162-2171. https://doi.org/10.1080/1369118X.2021.1933564
Ashforth, B. E., Kreiner, G. E., & Fugate, M. (2000). All in a day’s work: Boundaries and micro role transitions. Academy of Management Review, 25(3), 472–491. https://doi.org/10.5465/amr.2000.3363315
Barber, L. K., & Santuzzi, A. M. (2015). Please respond ASAP: Workplace telepressure and employee recovery. Journal of Occupational Health Psychology, 20(2), 172–189. https://doi.org/10.1037/a0038278
Baumeister, V. M., Kuen, L. P., Bruckes, M., & Schewe, G. (2021). The Relationship of Work-Related ICT Use With Well-being, Incorporating the Role of Resources and Demands: A Meta-Analysis. Sage Open, 11(4). https://doi.org/10.1177/21582440211061560
Belkin, L. Y., Becker, W. J., & Conroy, S. A. (2020). The invisible leash: The impact of organizational expectations for email monitoring after-hours on employee resources, well-being, and turnover intentions. Group & Organization Management, 45(5), 709-740. https://doi.org/10.1177/1059601120933143
Bennett, A. A., Bakker, A. B., & Field, J. G. (2018). Recovery from work‐related effort: A meta‐analysis. Journal of organizational behavior, 39(3), 262-275. https://doi.org/10.1002/job.2217
Blake, H., Hassard, J., Singh, J., & Teoh, K. (2024). Work-related smartphone use during off-job hours and work-life conflict: a scoping review. PLOS Digital Health, 3(7), e0000554. https://doi.org/10.1371/journal.pdig.0000554
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021). Introduction to meta-analysis (2nd ed.). John Wiley & Sons. https://doi.org/10.1002/9780470743386
Boswell, W. R., & Olson-Buchanan, J. B. (2007). The use of communication technologies after hours: The role of work attitudes and work–life conflict. Journal of Management, 33(4), 592–610. https://doi.org/10.1177/0149206307302552
Chen, A., Conroy, S. A., & Crain, T. L. (2024). Identifying forms of after‐hours information communication technology use and their role in psychological detachment: An episodic approach. Human Resource Management, 63(6), 919-937. https://doi.org/10.1002/hrm.22240
Chen, L., & Zhang, S. (2025). The dual effects of work connectivity behavior after-hours on employee behaviors: balancing psychological job control and ICT anxiety. Behavioral Sciences, 15(6), 796. https://doi.org/10.3390/bs15060796
Cho, S., Kim, S., Chin, S. W., & Ahmad, U. (2020). Daily effects of continuous ICT demands on work–family conflict: Negative spillover and role conflict. Stress and Health, 36(4), 533-545. https://doi.org/10.1002/smi.2955
Clark, S. C. (2000). Work/family border theory: A new theory of work/family balance. Human Relations, 53(6), 747–770. https://doi.org/10.1177/0018726700536001
Cooper, H. (2017). Research synthesis and meta-analysis: A step-by-step approach (5th ed.). SAGE Publications. https://doi.org/10.4135/9781071878644
Cooper, H., Hedges, L. V., & Valentine, J. C. (2019). The handbook of research synthesis and meta-analysis (3rd ed.). New York, NY: Russell Sage Foundation.
Cousins, K., & Robey, D. (2015). Managing work-life boundaries with mobile technologies: An interpretive study of mobile work practices. Information Technology and People, 28(1), 34–71. https://doi.org/10.1108/ITP-08-2013-0155
Derks, D., Bakker, A. B., Peters, P., & Van Wingerden, P. (2016). Work-related smartphone use, work–family conflict and family role performance: The role of segmentation preference. Human relations, 69(5), 1045-1068. https://doi.org/10.1177/001872671560189
Dery, K., Kolb, D., & MacCormick, J. (2014). Working with connective flow: How smartphone use is evolving in practice. European Journal of Information Systems, 23(5), 558–570. https://doi.org/10.1057/ejis.2014.13
Dong, M., Zhang, T., Li, Y., & Ren, Z. (2022). The effect of work connectivity behavior after-hours on employee psychological distress: The role of leader workaholism and work-to-family conflict. Frontiers in Public Health, 10, 722679. https://doi.org/10.3389/fpubh.2022.722679
Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta‐analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634. https://doi.org/10.1136/bmj.315.7109.629
Eichberger, C., Derks, D., & Zacher, H. (2021). Technology-assisted supplemental work, psychological detachment, and employee well-being: A daily diary study. German Journal of Human Resource Management, 35(2), 199-223. https://doi.org/10.1177/2397002220968188
Elshaer, I. A., Azazz, A. M. S., & Fayyad, S. (2024). Work-related mobile internet usage during off-job time and quality of life: The role of work family conflict and off-job control. International Journal of Innovative Research and Scientific Studies, 7(3), 1268-1279. https://doi.org/10.53894/ijirss.v7i3.3232
Elshaer, I. A., Azazz, A. M., Ghaleb, M. M., Abdulaziz, T. A., Mansour, M. A., & Fayyad, S. (2024). The impact of work-related ICT use on perceived injustice: exploring the effects of work role overload and psychological detachment. Journal of Open Innovation: Technology, Market, and Complexity, 10(1), 100208. https://doi.org/10.1016/j.joitmc.2024.100208
Fisher, R. A. (1915). Frequency distribution of the values of the correlation coefficient in samples from an indefinitely large population. Biometrika, 10(4), 507–521. https://doi.org/10.2307/2331838
Ford, M. T., Heinen, B. A., & Langkamer, K. L. (2007). Work and family satisfaction and conflict: A meta-analysis of cross-domain relations. Journal of Applied Psychology, 92(1), 57–80. https://doi.org/10.1037/0021-9010.92.1.57
Gadeyne, N., Darouei, M., Verbruggen, M., Delanoeije, J., & Op de Beeck, S. (2023). Do behavioural intentions matter? A diary study on work-related ICT-use after work hours. European Journal of Work and Organizational Psychology, 32(5), 746-759. https://doi.org/10.1080/1359432X.2023.2225773
Glass, G. V. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5(10), 3–8. https://doi.org/10.3102/0013189X005010003
González-Fernández, C., Garrosa, E., & Blanco-Donoso, L. M. (2025). Working at home through technology after the workday ended: Organizational and personal processes involved and their direct and indirect effects on mental health. Psychologica Belgica, 65(1), 87–103. https://doi.org/10.5334/pb.1356
Greenhaus, J. H., & Beutell, N. J. (1985). Sources of conflict between work and family roles. Academy of Management Review, 10(1), 76–88. https://doi.org/10.5465/amr.1985.4277352
Haun, V. C., Nübold, A., & Bauer, A. G. (2018). Being mindful at work and at home: Buffering effects in the stressor–detachment model. Journal of Occupational and Organizational Psychology, 91(2), 385–410. https://doi.org/10.1111/joop.12200
Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Orlando, FL: Academic Press. https://doi.org/10.1016/C2009-0-03396-0
Heissler, C., Ohly, S., & Kern, M. (2024). “Dear Manager, now I know what you expect”: Examining availability ambiguity in two studies. German Journal of Human Resource Management, 38(3), 259-282. https://doi.org/10.1177/23970022231196440
Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta‐analysis. Statistics in Medicine, 21(11), 1539–1558. https://doi.org/10.1002/sim.1186
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta‐analyses. BMJ, 327, 557–560. https://doi.org/10.1136/bmj.327.7414.557
Hu, Y., Kuang, T., & Lu, Y. (2024). The effect of work connectivity behavior after-hours on emotional exhaustion: The role of psychological detachment and work-family segmentation preference. Sage Open, 14(3), 21582440241281417. https://doi.org/10.1177/21582440241281417
Hülsheger, U. R., Feinholdt, A., & Nübold, A. (2015). A low‐dose mindfulness intervention and recovery from work: Effects on psychological detachment, sleep quality, and sleep duration. Journal of occupational and organizational psychology, 88(3), 464-489. https://doi.org/10.1037/a0037702
Kao, K. Y., Chi, N. W., Thomas, C. L., Lee, H. T., & Wang, Y. F. (2020). Linking ICT availability demands to burnout and work-family conflict: The roles of workplace telepressure and dispositional self-regulation. The Journal of Psychology, 154(5), 325-345. https://doi.org/10.1080/00223980.2020.1745137
Karakose, T. & Tulubas, T. (2025). The Role of Educational Leaders in the Age of Artificial Intelligence (AI). Educational Process: International Journal, 16, e2025267. https://doi.org/10.22521/edupij.2025.16.267
Karakose, T., & Polat, H. (2025). Science Mapping of the Knowledge Base on the Effects of Artificial Intelligence (AI)Based Chatbots on Student Learning Outcomes: A Bibliometric Study. In: Lampropoulos, G., Papadakis, S. (eds) Social Robots in Education. Studies in Computational Intelligence, vol 1194. Springer, Cham. https://doi.org/10.1007/978-3-031-82915-4_18
Karakose, T., Tülübaş, T., Kanadli, S., & Gurr, D. (2025). What factors mediate the relationship between principal leadership and teacher professional learning? Evidence from meta-analytic structural equation modelling (MASEM). Journal of Educational Administration, 63(1), 6376. https://doi.org/10.1108/JEA-05-2024-0160
Kondrysova, K., Leugnerova, M., & Kratochvil, T. (2022). Availability expectations and psychological detachment: The role of workrelated smartphone use during non-work hours and segmentation preference. Revista de Psicología del Trabajo y de las Organizaciones, 38(2), 75-84. https://doi.org/10.5093/jwop2022a6
Kreiner, G. E. (2006). Consequences of work‐home segmentation or integration: A person‐environment fit perspective. Journal of Organizational Behavior, 27(4), 485-507. https://doi.org/10.1002/job.386
Kubo, T., Izawa, S., Ikeda, H., Tsuchiya, M., Miki, K., & Takahashi, M. (2021). Work e-mail after hours and off-job duration and their association with psychological detachment, actigraphic sleep, and saliva cortisol: A 1-month observational study for information technology employees. Journal of Occupational Health, 63(1), e12300. https://doi.org/10.1002/1348-9585.12300
Kühner, C., Rudolph, C. W., Derks, D., Posch, M., & Zacher, H. (2023). Technology-assisted supplemental work: A meta-analysis. Journal of Vocational Behavior, 142, 103861. https://doi.org/10.1016/j.jvb.2023.103861
Lehrer, E. J., Wang, M., Sun, Y., & Zaorsky, N. G. (2023). An introduction to meta-analysis. International Journal of Radiation Oncology, Biology, Physics, 115(3), 564-571. https://doi.org/10.1016/j.ijrobp.2022.07.1831
Lihualei, L., & Arshad, M. A. B. (2024). Work connectivity behaviour after-hours: a literature review and prospects. Internatıonal Journal of Academic Research in Business and Social Sciences, 14(9), 2045-2068. http://dx.doi.org/10.6007/IJARBSS/v14-i9/22610
Macijauskiene, I., & Stankeviciute, Z. (2022). Digital Connectivity for Work after Hours Amid COVID-19: The Case of Public Sector in Lithuania. Public Security and Public Order, 30, 77-93. https://doi.org/10.13165/PSPO-22-30-36
Michel, J. S., Kotrba, L. M., Mitchelson, J. K., Clark, M. A., & Baltes, B. B. (2011). Antecedents of work–family conflict: A meta-analytic review. Journal of Organizational Behavior, 32(5), 689–725. https://doi.org/10.1002/job.695
Middleton, C. A., & Cukier, W. (2006). Is mobile email functional or dysfunctional? Two perspectives on mobile email usage. European Journal of Information Systems, 15(3), 252–260. https://doi.org/10.1057/palgrave.ejis.3000614
Netemeyer, R. G., Boles, J. S., & McMurrian, R. (1996). Development and validation of work–family conflict and family–work conflict scales. Journal of Applied Psychology, 81(4), 400–410.
Ozdogru, M., Tulubas, T., Karakose, T., Kanadlı, S., Kardas, A., & Papadakis, S. (2025). How does teacher self-efficacy mediate the relationship between student outcomes and principal leadership for learning? Results from meta-analytic structural equation modelling (MASEM). Acta Psychologica, 258, 105144. https://doi.org/10.1016/j.actpsy.2025.105144
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Papadakis, S., & Karakose, T. (2025). Gamification and Student Achievement: Potential Benefits, Limitations, and Effective Use in Educational Environments. Educational Process: International Journal, 19, e2025529. https://doi.org/10.22521/edupij.2025.19.529
Park, Y., Fritz, C., & Jex, S. M. (2011). Relationships between work–home segmentation and psychological detachment from work: The role of communication technology use at home. Journal of Occupational Health Psychology, 16(4), 457–467. https://doi.org/10.1037/a0023594
Rasulova, D., & Tanova, C. (2025). The constant ping: Examining the effects of after-hours work connectivity on employee turnover intention. Acta Psychologica, 254(2025) 104789. https://doi.org/10.1016/j.actpsy.2025.104789
Reinke, K., & Ohly, S. (2021). Double-edged effects of work-related technology use after hours on employee well-being and recovery: The role of appraisal and its determinants. German Journal of Human Resource Management, 35(2), 224-248. https://doi.org/10.1177/2397002221995797
Sandoval-Reyes, J., Restrepo-Castro, J. C., & Duque-Oliva, J. (2021). Work intensification and psychological detachment: The mediating role of job resources in health service workers. International Journal of Environmental Research and Public Health, 18(22), 12228. https://doi.org/10.3390/ijerph182212228
Santos, A., Roberto, M. S., Camilo, C., & Chambel, M. J. (2023). Information and communication technologies-assisted after-hours work: A systematic literature review and meta-analysis of the relationships with work–family/life management variables. Frontiers in Psychology, 14, 1101191. https://doi.org/10.3389/fpsyg.2023.1101191
Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Thousand Oaks, CA: SAGE Publications. https://doi.org/10.4135/9781483398105
Smit, B. W., Ebrahimi, N., Montag-Smit, T., Boyar, S. L., & Maertz, C. (2025). The hidden pitfalls of flexibility: how work flexibility can promote strain and work–family conflict through telepressure. Journal of Managerial Psychology, 40 (8), 1032–1045. https://doi.org/10.1108/JMP-01-2024-0027
Sonnentag, S. (2018). The recovery paradox: Portraying the complex interplay between job stressors, lack of recovery, and poor well-being. Research in Organizational Behavior, 38, 169–185. https://doi.org/10.1016/j.riob.2018.11.002
Sonnentag, S., & Fritz, C. (2015). Recovery from job stress: The stressor–detachment model as an integrative framework. Journal of Organizational Behavior, 36(S1), S72–S103. https://doi.org/10.1002/job.1924
Sun, X., Zhu, J., Liang, H., Xue, Y., & Yao, B. (2024). Will after-hours technology-mediated work make employees leave? A mediated moderation model. Internet Research, 34(7), 55-81. https://doi.org/10.1108/INTR-08-2022-0595
Tedone, A. M. (2022). Keeping up with work email after hours and employee wellbeing: examining relationships during and prior to the COVID-19 pandemic. Occupational health science, 6(1), 51-72. https://doi.org/10.1007/s41542-021-00107-3
ten Brummelhuis, L. L., & Bakker, A. B. (2012). A resource perspective on the work–home interface: The work–home resources model. American Psychologist, 67(7), 545–556. https://doi.org/10.1037/a0027974
van Zoonen, W., Sivunen, A., & Rice, R. E. (2020). Boundary communication: How smartphone use after hours is associated with work-life conflict and organizational identification. Journal of Applied Communication Research, 48(3), 372-392. https://doi.org/10.1080/00909882.2020.1755050
van Zoonen, W., Treem, J. W., & Sivunen, A. E. (2023). Staying connected and feeling less exhausted: The autonomy benefits of after‐hour connectivity. Journal of Occupational and Organizational Psychology, 96(2), 242-263. https://doi.org/10.1111/joop.12422
Viechtbauer, W. (2005). Bias and efficiency of meta-analytic variance estimators in the random-effects model. Journal of Educational and Behavioral Statistics, 30(3), 261–293. https://doi.org/10.3102/10769986030003261
Wang, F., & Li, Y. (2023). Social media use for work during non-work hours and work engagement: Effects of work-family conflict and public service motivation. Government Information Quarterly, 40(3), 101804. https://doi.org/10.1016/j.giq.2023.101804
Wang, F., Zhang, Z., & Shi, W. (2023). Relationship between daily work connectivity behavior after hours and work–leisure conflict: Role of psychological detachment and segmentation preference. PsyCh Journal, 12(2), 250-262. https://doi.org/10.1002/pchj.625
Wang, H., Liu, P., Zhao, X., Li, A., & Xiao, C. (2022). Work-related use of information and communication technologies after hours (W_ICTs) and work-family conflict: a moderated mediation model. Sage Open, 12(3), 21582440221120169. https://doi.org/10.1177/21582440221120169
Wendsche, J., & Lohmann-Haislah, A. (2017). A meta-analysis on antecedents and outcomes of detachment from work. Frontiers in psychology, 7, 2072. https://doi.org/10.3389/fpsyg.2016.02072
Xiangzhi, C., & Submahachok, P. (2025). Impacts of Work Connectivity During Non-Office Hours on Employee’s Attitudes and Behaviors: A Comparative Case between General Staffs and Executives in Educational Institutions in Shandong Province, China. Rajapark Journal, 19(62), 47-62.
Yang, Y., Yan, R., & Meng, Y. (2022). Can’t disconnect even after-hours: how work connectivity behavior after-hours affects employees’ thriving at work and family. Frontiers in Psychology, 13, 865776. https://doi.org/10.3389/fpsyg.2022.865776
Yue, C. A. (2022). The paradox of using public social media for work: The influence of after-hours work communication on employee outcomes. Journal of Business Research, 149, 748-759. https://doi.org/10.1016/j.jbusres.2022.05.079
Yue, C. A. (2023). Exploring employees’ after-hour work communication on public social media: Antecedents and outcomes. Social Science Computer Review, 41(3), 827-847. https://doi.org/10.1177/08944393211055322