Work Disruptions, Gender, and Marital Status in Gen Z Performance

Authors

  • Wanta Wanta Universitas Buana Perjuangan karawang, Indonesia
  • Rengga Madya Pratama Universitas Buana Perjuangan karawang, Indonesia
  • Uus M.D Fadli Universitas Buana Perjuangan karawang, Indonesia

DOI:

https://doi.org/10.51278/bce.v6i2.2623

Keywords:

Work Performance, Work Disruptions, Gender, Social Media Use, Marital Status

Abstract

This study investigates how work disruptions influence the performance of Generation Z employees and whether these effects are conditioned by gender, social media use, and marital status. Drawing on the Job Demands-Resources (JD-R) framework, work disruptions are conceptualized as job demands that can undermine performance when not balanced by adequate resources. Data were collected through an online survey of 247 Gen Z employees in Indonesia using snowball sampling. Measurement instruments were adapted from Chen and Karahanna (2018) and applied with a seven-point Likert scale. Quantitative analyses tested first-order moderation (gender) and second-stage moderation (social media use and marital status). Results indicate that work disruptions significantly reduce work performance. Gender alone does not significantly moderate this relationship, and social media use also fails to act as a second-stage moderator. However, marital status strengthens the role of gender in shaping the impact of work disruptions on performance. These findings underscore the importance of integrating social factors into organizational strategies for managing Gen Z employees. Ultimately, this study contributes to both theory and practice by demonstrating that understanding the interplay of work disruptions, gender, and marital status is essential for designing effective learning and human resource development processes in the digital era.

References

Bialowolski, P., McNeely, E., VanderWeele, T. J., & Weziak-Bialowolska, D. (2020). Ill health and distraction at work: Costs and drivers for productivity loss. Plos one, 15(3), e0230562. https://doi.org/10.1371/journal.pone.0230562

Billing, T. K., Baral, R., & Beutell, N. J. (2023). Resilience during disruption: A cross-national examination of the work–family interface. International Journal of Stress Management, 30(2), 148. https://doi.org/10.1037/str0000275

Biswas, A., Harbin, S., Irvin, E., Johnston, H., Begum, M., Tiong, M., ... & Smith, P. (2022). Differences between men and women in their risk of work injury and disability: A systematic review. American journal of industrial medicine, 65(7), 576-588. https://doi.org/10.1002/ajim.23364

Booth, A. L., & Nolen, P. (2022). Gender and Psychological Pressure in Competitive Environments: A Laboratory‐based Experiment. Economica, 89, S71-S85. https://doi.org/10.1111/ecca.12417

Caballero, G. (2021). Are you Really about it? Developing a Critical Praxis for Men in the Discipline. PS: Political Science & Politics, 54(3), 515-517. https://doi.org/10.1017/S104909652100010X

Chen, A., & Karahanna, E. (2018). Life interrupted: the effects of technology-mediated work interruptions on work and nonwork outcomes. MIS Quarterly, 42(4), 1023-1042. https://doi.org/10.25300/MISQ/2018/13631

Cilliers, E. J. (2017). The challenge of teaching Generation Z. People: International Journal of Social Sciences, 3(1), 188–198. https://doi.org/10.20319/pijss.2017.31.188198

Couffe, C., & Michael, G. A. (2017). Failures due to interruptions or disruptions: A review and a new framework. The American journal of psychology, 130(2), 163-181. https://doi.org/10.5406/amerjpsyc.130.2.0163

Demerouti, E., & Bakker, A. B. (2023). Job demands-resources theory in times of crises: New propositions. Organizational Psychology Review, 13(3), 209-236. https://doi.org/10.1177/2041386622113502

Durak, M., Senol-Durak, E., & Karakose, S. (2023). Psychological distress and anxiety among housewives: The mediational role of perceived stress, loneliness, and housewife burnout. Current Psychology, 42(17), 14517-14528. https://doi.org/10.1007/s12144-021-02636-0

Ermiş, E. N., & Kantarcı, S. (2016). Investigation effect of moderator role of using social media and social communication between skills of recognition and distinguish emotional facial expressions and social anxiety in relationship. International Journal of Social Sciences and Education Research, 2(2), 583-591. https://doi.org/10.24289/ijsser.279069

Horvath, M., Gueulette, J. S., & Gray, K. A. (2021). Employee reactions to interruptions from family during work. Occupational Health Science, 5(1), 141-162. https://doi.org/10.1007/s41542-021-00081-w

Hu, Y., Li, J., Ye, M., & Wang, H. (2021). The relationship between couples’ gender-role attitudes congruence and wives’ family interference with work. Psychology Research and Behavior Management, 49-59. https://doi.org/10.2147/PRBM.S286119

Intelligent.com. (2024, September 13). 1 in 6 companies are hesitant to hire recent college graduates. https://www.intelligent.com/1-in-6-companies-are-hesitant-to-hire-recent-college-graduates/

Klingelhoefer, J., & Meier, A. (2023). Social media and well-being at work, at home, and in-between: A review. Research handbook on digital sociology, 398-418. https://doi.org/10.4337/9781789906769.00032

Kono, H., & Tanaka, T. (2019). Does marriage work as a savings commitment device? Experimental evidence from Vietnam. Plos one, 14(6), e0217646. https://doi.org/10.1371/journal.pone.0217646

Kwon, Y. M. (2015). A study of the effects of job burnout on organizational effectiveness and turnover intention. Journal of digital Convergence, 13(10), 165-170. https://doi.org/10.14400/JDC.2015.13.10.165

Labonté, K., St-Cyr, H., & Vachon, F. (2024). Foreseeing interruptions in dynamic environments may undermine the adequacy between perceived and observable task performance. Journal of Cognitive Psychology, 36(5), 576-594. https://doi.org/10.1080/20445911.2023.2227400

Li, C., Liu, Y., & Li, W. (2022). Female career interruption and social integration: An interaction between human capital and new media use. Frontiers in Psychology, 13, 917582. https://doi.org/10.3389/fpsyg.2022.917582

Lucas, C. F. P., & Ureta, F. M. A. (2019). El clima laboral como factor clave en el rendimiento productivo de las empresas. estudio caso: Hardepex Cía. Ltda. Cuadernos latinoamericanos de administración, 15(28).

Mark, G., Iqbal, S., & Czerwinski, M. (2017). How blocking disruptions affects workplace focus and productivity. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 928-934). https://doi.org/10.1145/3123024.3124558

Merijanti, L. T., Pusparini, P., Meiyanti, M., Alvina, A., Hartanti, M. D., & Tjahjadi, M. (2023). Career Development and Psychopathological Symptoms on Female Workers. Journal of Drug Delivery and Therapeutics, 13(4), 28-32. https://doi.org/10.22270/jddt.v13i4.6010

Mittal, M., & Bhakar, S. S. (2018). Examining the impact of role overload on job stress, job satisfaction and job performance-a study among married working women in banking sector. International Journal of Management Studies, 2(7), 1-11. http://dx.doi.org/10.18843/ijms/v5i2(7)/01

Piotrowski, M., Ślebarska, K., & Buszman, K. (2022). Social media and task performance: does being online distract task completion?. The New Educational Review, 67, 249-260. https://doi.org/10.15804/tner.2022.67.1.19

Reinecke, L., Gilbert, A., & Eden, A. (2022). Self-regulation as a key boundary condition in the relationship between social media use and well-being. Current Opinion in Psychology, 45, 101296. https://doi.org/10.1016/j.copsyc.2021.12.008

Revathy, V. R., Aram, I. A., & Sharmila, V. S. (2018). Social media as a means to overcome stress and depression among women. Journal of Media and Communication Studies, 10(6), 46-64. https://doi.org/10.5897/JMCS2018.0605

Sanchez, A., Romero, N., & De Raedt, R. (2017). Depression-related difficulties disengaging from negative faces are associated with sustained attention to negative feedback during social evaluation and predict stress recovery. PloS one, 12(3), e0175040. https://doi.org/10.1371/journal.pone.0175040

Saunders, K. (2016). Women in the workplace: Feminism’s potential impact. Handbook on well-being of working women, 565-575. https://doi.org/10.1007/978-94-017-9897-6_32

Shah, S. H., Atweh, L. A., Thompson, C. A., Carzoo, S., Krishnamurthy, R., & Zumberge, N. A. (2022). Workflow interruptions and effect on study interpretation efficiency. Current Problems in Diagnostic Radiology, 51(6), 848-851. https://doi.org/10.1067/j.cpradiol.2022.06.003

Soper, D. S. (2020). A-priori sample size calculator for structural equation models [Computer software]. http://www.danielsoper.com/statcalc

Wu, M., Wang, C., Zhao, J. L., & Liang, L. (2017). Distraction or not? Investigating the relationship between mobile social network engagement and task performance. In 2017 International Conference on Research and Innovation in Information Systems (ICRIIS) (pp. 1-5). IEEE. https://doi.org/10.1109/ICRIIS.2017.8002517

Zahmat Doost, E., & Zhang, W. (2023). Mental workload variations during different cognitive office tasks with social media interruptions. Ergonomics, 66(5), 592-608. https://doi.org/10.1080/00140139.2022.2104381

Downloads

Published

2026-07-11

How to Cite

Wanta, W., Rengga Madya Pratama, & Uus M.D Fadli. (2026). Work Disruptions, Gender, and Marital Status in Gen Z Performance. Bulletin of Community Engagement, 6(2), 177–188. https://doi.org/10.51278/bce.v6i2.2623

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.