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Impact of technostress and work-family conflict on turnover intention among nurses in Bangladesh: a moderation effect of perceived supervisor support

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Abstract

The objective of this study was to analyse the impact of Technostress (TS) and Work-family Conflict (WFC) on Turnover Intention (TI) with respect to Perceived Supervisory Support (PSS) as a moderator to influence turnover intention. This study used a cross-sectional survey research design. Participants were selected using the simple random sample method, and this study analysed a moderation impact using a structural equation model. The outcomes showed that technostress and work-family conflict affect the turnover intention of Bangladeshi nurses. This study likewise affirmed the moderating impact of perceived supervisory support on the relationship between technostress, work-family conflict, and turnover intention. From a commonsense perspective, this study gave policymakers a structure to grasp how technostress and work-family conflict influence nurses’ turnover intentions. This would help clinics in arranging and executing approaches that lessen nurture quit expectations and turnover. This study also helps Human Resource Management (HRM) improve human resource management systems to decrease turnover and access the importance of a better working environment and supervisory support.

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References

  • Afzal, S., Arshad, M., Saleem, S., & Farooq, O. (2019). The impact of perceived supervisor support on employees’ turnover intention and task performance: Mediation of self-efficacy. Journal of Management Development, 38(5), 369–382. https://doi.org/10.1108/JMD-03-2019-0076.

    Article  Google Scholar 

  • Akter, N., Akter, M. K., & Turale, S. (2019). Barriers to quality of work life among Bangladeshi nurses: A qualitative study. International Nursing Review, 66(3), 396–403. https://doi.org/10.1111/inr.12540.

    Article  Google Scholar 

  • Akter, S., Voumik, L. C., Rahman, M. H., Raihan, A., & Zimon, G. (2023). GDP, health expenditure, industrialization, education and environmental sustainability impact on child mortality: Evidence from G-7 countries. Sustainable Environment, 9(1), 2269746.

    Article  Google Scholar 

  • Alam, M. Z. (2019). mHealth in Bangladesh: Cuttent Status and Future Development. The International Technology Management Review, 7(2), 112–124. https://doi.org/10.2991/itmr.2018.7.2.1.

    Article  Google Scholar 

  • Bae, S. H. (2022). Noneconomic and economic impacts of nurse turnover in hospitals: A systematic review. International Nursing Review, 69, 392–404. https://doi.org/10.1111/inr.12769.

    Article  Google Scholar 

  • Blau, P. (1964). Exchange and power in social life (1st ed.). Wiley.

  • Brivio, E., Gaudioso, F., Vergine, I., Mirizzi, C. R., Reina, C., Stellari, A., & Galimberti, C. (2018). Preventing technostress through positive technology. Frontiers in Psychology, 9(December), 2569. https://doi.org/10.3389/fpsyg.2018.02569.

    Article  Google Scholar 

  • Brod, C. (1984). Technostress: The human cost of the computer revolution (1st ed.). Addison-Wesley.

  • Brouer, R. L., Wallace, A. S., & Harvey, P. (2011). When good resources go bad: The applicability of conservation of resource theory to psychologically entitled employees. Research in Occupational Stress and Well Being, 9, 109–150. https://doi.org/10.1108/S1479-3555(2011)0000009008.

    Article  Google Scholar 

  • Califf, C. B. (2022). Stressing affordances: Towards an appraisal theory of technostress through a case study of hospital nurses’ use of electronic medical record systems. Information and Organization, 32(4), 100413. https://doi.org/10.1016/j.infoandorg.2022.100431.

    Article  Google Scholar 

  • Califf, C. B., & Brooks, S. (2020). An empirical study of techno-stressors, literacy facilitation, burnout, and turnover intention as experienced by K-12 teachers. Computers & Education, 157 (2020) 103971. https://doi.org/10.1016/j.compedu.2020.103971.

  • Califf, C. B., Sarker, S., & Sarker, S. (2020a). August, 24). Are healthcare workers stressed by information technology? LSE Business Review. https://blogs.lse.ac.uk/businessreview/2020/08/24/are-healthcare-workers-stressed-by-information-technology/.

  • Califf, C. B., Sarker, S., & Sarker, S. (2020b). The bright and dark sides of technostress: A mixed-methods study involving healthcare it1. MIS Quarterly: Management Information Systems, 44(2), 809–856. https://doi.org/10.25300/MISQ/2020/14818.

    Article  Google Scholar 

  • Chatterjee, T., Teame, G. T., & Sen, S. (2023). Impact of income inequality on health and education in Africa: The long-run role of public spending with short-run dynamics. Journal of Computational Social Science, 1–46.

  • Cohen, J. (1988). Statistical power analysis for behavioural science (2nd ed.). Lawrence Erlbaum Associates.

  • Cohen, G., Blake, R. S., & Goodman, D. (2016). Does turnover intention Matter? Evaluating the usefulness of turnover intention rate as a predictor of actual turnover rate. Review of Public Personnel Administration, 36(3), 240–263. https://doi.org/10.1177/0734371X15581850.

    Article  Google Scholar 

  • Dewanto, A., & Wardhani, V. (2018). Nurse turnover and perceived causes and consequences: A preliminary study at private hospitals in Indonesia. BMC Nursing, 17(2), 52–65. https://doi.org/10.1186/s12912-018-0317-8.

    Article  Google Scholar 

  • Directorate general of nursing and midwifery (2020). Monthly Manpower Reports. http://dgnm.gov.bd/site/page/ba28bb72-0244-4ddd-8f95-194865a9e380/-.

  • Dwivedi, S. (2015). Employee turnover intention: Scale construction & validation. The Indian Journal of Industrial Relations, 50(3), 452–468.

    Google Scholar 

  • Eisenberger, R., Stinglhamber, F., Vandenberghe, C., Sucharski, I. L., & Rhoades, L. (2002). Perceived supervisor support: Contributions to perceived organizational support and employee retention. Journal of Applied Psychology, 87(3), 565–573. https://doi.org/10.1037/0021-9010.87.3.565.

    Article  Google Scholar 

  • Farkhani, Z. N., & Piotrowski, A. (2020). Nurses ’ turnover intention: A comparative study between Iran and Poland. Medycyna Pracy, 71(4), 413–420. https://doi.org/10.13075/mp.5893.00950.

    Article  Google Scholar 

  • Fei, Y., Jiang, N., Zhao, H., Zhang, F., Fu, W., & Yin, X. (2023). How work-family conflict influences emergency department nurses’ turnover intention: The mediating role of positive and negative affect. International Emergency Nursing, 68(2023), 101289. https://doi.org/10.1016/j.ienj.2023.101289.

    Article  Google Scholar 

  • French, K. A., Dumani, S., Allen, T. D., & Shockley, K. M. (2018). A meta-analysis of work-family conflict and social support. Psychological Bulletin, 144(3), 284–314. https://doi.org/10.1037/bul0000120.

    Article  Google Scholar 

  • Gandi, J. C., Wai, P. S., Karick, H., & Dagona, Z. K. (2011). The role of stress and level of burnout in job performance among nurses. Mental Health in Family Medicine, 8(3), 181–194.

    Google Scholar 

  • Ghosh, P., Goel, G., Dutta, T., & Singh, R. (2019). Turnover intention among liquid knowledge workers: A study of Indian insurance professionals. Journal of Global Operations and Strategic Sourcing, 12(2), 288–309. https://doi.org/10.1108/JGOSS-10-2017-0040.

    Article  Google Scholar 

  • Glavelia, N., Karassavidoua, E., & Zafiropoulos, K. (2013). Relationships among three facets of family-supportive work environments, work-family conflict and job satisfaction: A research in Greece. The International Journal of Human Resource Management, 24(3), 3757–3771. https://doi.org/101080/09585192 2013 778317.

    Article  Google Scholar 

  • Goetz, T. M., & Boehm, S. A. (2020). Am I outdated? The role of strengths use support and friendship opportunities for coping with technological insecurity. Computers in Human Behavior, 107(June), 1–55. https://doi.org/10.1016/j.chb.2020.106265.

    Article  Google Scholar 

  • Golz, C., Peter, K. A., Zwakhalen, S. M. G., & Hahn, S. (2021). Technostress among Helathcare professionals – a Multilevel Model and Group comparisons between setting and professions. Informatics for Health and Social Care, 46(2), 136–147. https://doi.org/10.1080/17538157.2021.1872579.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Grzywacz, J. G., Frone, M. R., Brewer, C. S., & Kovner, C. T. (2006). Quantifying work-family conflict among registered nurses. Research in Nursing & Health, 29(5), 414–426. https://doi.org/10.1002/nur.20133.

    Article  Google Scholar 

  • Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics (5th ed.). McGraw-Hill Irwin.

  • Gull, N., Asghar, M., Bashir, M., Liu, X., & Xiong, Z. (2023). Does a family-supportive supervisor reduce the effect of work-family conflict on emotional exhaustion and turnover intentions? A moderated mediation model. International Journal of Conflict Management, 34(2), 253–272. https://doi.org/10.1108/IJCMA-03-2022-0046.

    Article  Google Scholar 

  • Haddad, L. M., Annamaraju, P., & Toney-Butler, T. J. (2020). Nursing shortage. StatPearls [Internet]. StatPearls Publishing.

  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202.

    Article  Google Scholar 

  • Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019a). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203.

    Article  Google Scholar 

  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019b). Multivariate data analysis (8th ed.). Cenage Learning.

  • Han, S. S., Han, J. W., & Choi, E. H. (2015). Effects of nurses’ job stress and work-family conflict on turnover intention: Focused on the mediating effect of coping strategies. Asian Women, 31(3), 1–20. https://doi.org/10.14431/aw.2015.09.31.3.1.

    Article  Google Scholar 

  • Harris, K. J., Harris, R. B., Carlson, J. R., & Carlson, D. S. (2015). Resource loss from technology overload and its impact on work-family conflict: Can leaders help? Computers in Human Behavior, 50(September), 411–417. https://doi.org/10.1016/j.chb.2015.04.023.

    Article  Google Scholar 

  • Harris, K. J., Harris, R. B., Valle, M., Carlson, J., Carlson, D. S., Zivnuska, S., & Wiley, B. (2022). Technostress and the entitled employee: Impacts on work and family. Information Technology and People, 35(3), 1073–1095. https://doi.org/10.1108/ITP-07-2019-0348.

    Article  Google Scholar 

  • Harunavamwe, M., & Kanengoni, H. (2023). Hybrid and virtual work settings; the interaction between technostress, perceived organisational support, work-family conflict and the impact on work engagement. African Journal of Economic and Management Studies, Ahead-of-print. https://doi.org/10.1108/AJEMS-07-2022-0306.

  • Harunavamwe, M., & Ward, C. (2022). The influence of technostress, work-family conflict, and perceived organizational support on workplace flourishing amidst COVID-19. Frontiers in Psychology, 13, 921211. https://doi.org/10.3389/fpsyg.2022.921211.

    Article  Google Scholar 

  • Hobfoll, S. E. (1989). Conservation of resources. A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524. https://doi.org/10.1037/0003-066x.44.3.513.

    Article  Google Scholar 

  • Hobfoll, S. E. (2001). The influence of culture, community, and the nested-self in the stress process: Advancing conservation of resources theory. Applied Psychology, 50(3), 337–370. https://doi.org/10.1111/1464-0597.00062.

    Article  Google Scholar 

  • Hobfoll, S. E., Halbesleben, J., Neveu, J. P., & Westman, M. (2018). Conservation of resources in the organizational context: The reality of resources and their consequences. Annual Review of Organizational Psychology and Organizational Behavior, 5(1), 103–128. https://doi.org/10.1146/annurev-orgpsych032117-104640.

    Article  Google Scholar 

  • Hom, P. W., Lee, T. W., Shaw, J. D., & Hausknecht, J. P. (2017). One hundred years of employee turnover theory and research. Journal of Applied Psychology, 102(3), 530–545. https://doi.org/10.1037/apl0000103.

    Article  Google Scholar 

  • Hu, H., Wang, C., Lan, Y., & Wu, X. (2022). Nurses’ turnover intention, hope and career identity: The mediating role of job satisfaction. BMC Nursing, 21(43), 1–11. https://doi.org/10.1186/s12912-022-00821-5.

    Article  Google Scholar 

  • Huang, T. L., Wong, M. K., Shyu, Y. L., Ho, L. H., Yeh, J. R., & Teng, C. I. (2021). Reducing turnover intention to improve care outcome: A two-wave study. Journal of Advanced Nursing, 77(7), 3083–3092. https://doi.org/10.1111/jan.14831.

    Article  Google Scholar 

  • Ibrahim, S. N. H., Suan, C. L., & Karatepe, O. M. (2019). The effects of supervisor support and self-efficacy on call center employees‘ work engagement and quitting intentions. International Journal of Manpower, 40(4), 688–703. https://doi.org/10.1108/IJM-12-2017-0320.

    Article  Google Scholar 

  • Ilyas, A., Khan, A. H., Zaid, F., Ali, M., Razzaq, A., & Khan, W. A. (2020). Turnover intention of employees, supervisor support, and open innovation: The role of illegitimate tasks. Journal of Open Innovation: Technology Market and Complexity, 6(4), 1–12. https://doi.org/10.3390/joitmc6040128.

    Article  Google Scholar 

  • International Council of Nurses (2019). ICN International Workforce Forum calls for urgent action from governments to address global nursing shortage. https://www.icn.ch/news/icn-internationalworkforce-forum-calls-urgent-action-governments-address globalnursing#:∼:text = Geneva%2 C%20Switzerland%3B%204%20March%202019,nurses%20who%20care%20for%20them.

  • Jabeen, F., Al Hashmi, M., & Mishra, V. (2020). Should I stay or should I go? The antecedents of turnover intention among police personnel. Safer Communities, 19(1), 1–14. https://doi.org/10.1108/SC-05-2019-0013.

    Article  Google Scholar 

  • Jackson, P. H. (2019). Technostress in nursing and the big five (Publication No. 27739821) [Doctoral Dissertation, Nova Southeastern University]. ProQuest dissertations and theses global.

  • Jansen, N. W. H., Kant, I. K., Kristensen, T. S., & Nijhuis, F. J. N. (2003). Antecedents and consequences of work-family conflict: A prospective cohort study. Journal of Occupational and Environmental Medicine, 45(5), 479–491. https://doi.org/10.1097/01.jom.0000063626.37065.e8.

    Article  Google Scholar 

  • Jia, C. X., & Li, J. C. (2021). Work-Family Conflict, Burnout, and turnover intention among Chinese Social workers: The moderating role of work support. Journal of Social Service Research, 48(1), 1–17. https://doi.org/10.1080/01488376.2021.1942393.

    Article  Google Scholar 

  • Joarder, T. (2021). Challenges of nursing profession in Bangladesh. Financial Express. https://thefinancialexpress.com.bd/views/challenges-of-nursing-profession-in-bangladesh-1613053258.

  • Joarder, T., Tune, S. N. B. K., Nuruzzaman, M., Alam, S., De Oliveira Cruz, V., & Zapata, T. (2020). Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method. British Medical Journal Open, 10(2), 1–10. https://doi.org/10.1136/bmjopen-2019-035183.

    Article  Google Scholar 

  • Joarder, T., Parvage, M. A., Rawal, L. B., & Ahmed, S. M. (2021). A policy analysis regarding education, career, and governance of the nurses in Bangladesh: A qualitative exploration. Policy Politics and Nursing Practice, 22(2), 114–125. https://doi.org/10.1177/1527154420988003.

    Article  Google Scholar 

  • Jung, H. S., & Yoon, H. H. (2013). The effects of organizational service orientation on person-organization fit and turnover intent. Service Industries Journal, 33(1), 7–29. https://doi.org/10.1080/02642069.2011.596932.

    Article  Google Scholar 

  • Kabir, H., Chowdhury, S. R., Tonmon, T. T., Roy, A. K., Akter, S., Bhuya, M. T. R., Hossain, L., Chowdhury, S. A., & Sanjoy, S. (2022). Workplace violence and turnover intention among the Bangladeshi female nurses after a year of pandemic: An exploratory cross-sectional study. PLOS Global Public Health, 2(4), e0000187. https://doi.org/10.1371/journal.pgph.0000187.

    Article  Google Scholar 

  • Kahn, R. L., Wolfe, D. M., Quinn, R. P., Snoek, J. D., & Rosenthal, R. A. (1964). Organizational stress: Studies in role conflict and ambiguity (1st ed.) John Wiley & Sons.

  • Khowaja, A. A., Rafiq, F., Merchant, N., Rafiq, N., & Zulfiqar, S. (2019). Turnover propensity among nurses in Pakistan: Overview and management. Iris Journal of Nursing & Care, 1(2), 1–4. https://doi.org/10.33552/IJNC.2019.01.000507.

    Article  Google Scholar 

  • Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101.

    Article  Google Scholar 

  • Kovner, C. T., Djukic, M., Fatehi, F. K., Fletcher, J., Jun, J., Brewer, C., & Chacko, T. (2016). Estimating and preventing hospital internal turnover of newly licensed nurses: A panel survey. International Journal of Nursing Studies, 60(August), 251–262. https://doi.org/10.1016/j.ijnurstu.2016.05.003.

    Article  Google Scholar 

  • La Torre, G., Esposito, A., Sciarra, I., & Chiappetta, M. (2019). Definition, symptoms and risk of techno-stress: A systematic review. International Archives of Occupational and Environmental Health, 92(4), 13–35. https://doi.org/10.1007/s00420-018-1352-1.

    Article  Google Scholar 

  • Labrague, L. J. (2020). Organisational and professional turnover intention among nurse managers: A cross-sectional study. Journal of Nursing Management, 28(6), 1275–1285. https://doi.org/10.1111/jonm.13079.

    Article  Google Scholar 

  • Lee, E., & Jang, I. (2020). Nurses’ fatigue, job stress, Organizational Culture, and turnover intention: A culture–work–health model. Western Journal of Nursing Research, 42(2), 108–116. https://doi.org/10.1177/0193945919839189.

    Article  Google Scholar 

  • Li, Y., Zhou, X., & Lyu, Z. (2024). Regional contagion in health behaviors: Evidence from COVID-19 vaccination modeling in England with social network theorem. Journal of Computational Social Science, 1–20.

  • Majumder, S. C., & Rahman, M. H. (2023). Rural–urban migration and its impact on environment and health: Evidence from Cumilla City Corporation. Bangladesh GeoJournal, 88(3), 3419–3437.

    Article  Google Scholar 

  • Majumder, S. C., Rahman, M. H., & Debbarman, S. (2021). Factors influencing maternal mortality in Cumilla city corporation, Bangladesh. International Journal of Scientific Reports, 7(7), 346–354.

    Article  Google Scholar 

  • Majumder, S. C., Dilanchiev, A., & Rahman, M. H. (2022). Examination of a Health production function: Evidence from south Asian countries. Southeast Asian Journal of Economics, 10(3), 75–102.

    Google Scholar 

  • Memon, M. A., Salleh, R., Mirza, M. Z., Cheah, J. H., Ting, H., Ahmad, M. S., & Tariq, A. (2021). Satisfaction matters: The relationships between HRM practices, work engagement and turnover intention. International Journal of Manpower, 42(1), 21–50. https://doi.org/10.1108/IJM-04-2018-0127.

    Article  Google Scholar 

  • Nayak, S., & Budhwar, P. (2022). Negative effects of enterprise social networks (ESNs) and technostress: Empirical evidence from R&D centres operating in India. Aslib Journal of Information Management, 74(5), 956–988. https://doi.org/10.1108/AJIM-08-2021-0228.

    Article  Google Scholar 

  • 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. https://doi.org/10.1037/0021-9010.81.4.400.

    Article  Google Scholar 

  • Nohe, C., & Sonntag, K. (2014). Work-family conflict, social support, and turnover intentions: A longitudinal study. Journal of Vocational Behavior, 85(1), 1–12. https://doi.org/10.1016/j.jvb.2014.03.007.

    Article  Google Scholar 

  • Pang, Y., Dan, H., Jung, H., Bae, N., & Kim, O. (2020). Depressive symptoms, professional quality of life and turnover intention in Korean nurses. International Nursing Review, 67(3), 387–394. https://doi.org/10.1111/inr.12600.

    Article  Google Scholar 

  • Purisiol, S. (2020). The effects of technostress on well-being and performance: The role of social support. [Master’s Thesis]. Tilburg University.

  • Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165.

    Article  Google Scholar 

  • Rahmana, M. H., Majumder, S. C., Hossain, M. N., & Nahrin, R. (2020a). Factors influencing infant and child mortality: A case study of Cumilla District, Bangladesh. The International Journal of Social Sciences World (TIJOSSW), 2(2), 40–55.

    Google Scholar 

  • Rahman, M. H., Majumder, S. C., & Rana, M. Z. (2020b). The reasons behind the Shift of patients from Public to private hospitals: Evidence from Public Hospitals in Cumilla City Corporation. International Journal of Public Policy and Administration Research, 7(2), 69–78.

    Article  Google Scholar 

  • Ran, L., Chen, X., Peng, S., Zheng, F., Tan, X., & Duan, R. (2020). Job burnout and turnover intention among Chinese primary healthcare staff: The mediating effect of satisfaction. British Medical Journal Open, 10(e036702), 1–9. https://doi.org/10.1136/bmjopen-2019-036702.

    Article  Google Scholar 

  • Rawashdeh, A. M., & Tamimi, S. A. (2020). The impact of employee perceptions of training on organizational commitment and turnover intention: An empirical study of nurses in Jordanian hospitals. European Journal of Training and Development, 44(2/3), 191–207. https://doi.org/10.1108/EJTD-07-2019-0112.

    Article  Google Scholar 

  • Ribeiro, N., Gomes, D., Oliveira, A. R., & Semedo, A. S. D. (2023). The impact of the work-family conflict on employee engagement, performance, and turnover intention. International Journal of Organizational Analysis, 31(2), 533–549. https://doi.org/10.1108/IJOA-02-2021-2646.

    Article  Google Scholar 

  • Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2018). Partial least squares structural equation modeling in HRM research. International Journal of Human Resource Management, 31(12), 1617–1643. https://doi.org/10.1080/09585192.2017.1416655.

    Article  Google Scholar 

  • Rony, M. K. K., Numan, S. M., & Alamgir, H. M. (2023). The association between work-life imbalance, employees’ unhappiness, work’s impact on family, and family impacts on work among nurses: A cross-sectional study. Informatics in Medicine Unlocked, 38(2023), 101226.

    Article  Google Scholar 

  • Rozario, M. D., Adhikary, H., Gazi, H. R., & Begum, D. (2018). Nurses’ roles in patient care in tertiary level hospitals in Bangladesh. Bangladesh Medical Research Council Bulletin, 44(3), 138–144.

    Article  Google Scholar 

  • Rubel, M. R. B., Kee, D. M. H., & Rimi, N. N. (2017). The mediating role of work-family conflict on role stressors and employee turnover intention relationship in Labour-oriented Organizations. Global Business Review, 18(6), 1384–1399.

    Article  Google Scholar 

  • Shagirbasha, S., Iqbal, J., Madhan, K., Chaudhary, S., & Dhall, R. (2023). Workplace isolation during COVID-19 and work–family conflict among academicians: interplay of psychological stress and organizational identification. International Journal of Manpower, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJM-04-2022-0190.

  • Shin, S., Park, J. H., & Bae, S. H. (2019). Nurse staffing and hospital-acquired conditions: A systematic review. Journal of Clinical Nursing, 28(23–24), 4264–4275.

    Article  Google Scholar 

  • Simha, A., & Pandey, J. (2021). Trust, ethical climate and nurses’ turnover intention. Nursing Ethics, 28(5), 714–722. https://doi.org/10.1177/0969733020964855.

    Article  Google Scholar 

  • Talukder, A. K. M. M. H. (2019). Supervisor Support and Organizational Commitment: The role of work-family conflict, job satisfaction, and work-Life Balance. Journal of Employment Counseling, 56(3), 98–116. https://doi.org/10.1002/joec.12125.

    Article  Google Scholar 

  • Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta – techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6–42. https://doi.org/10.1111/isj.12169.

    Article  Google Scholar 

  • The Financial Express (2021, February). Challenges of nursing profession in Bangladesh. The Financial Express. https://thefinancialexpress.com.bd/views/views/challenges-of-nursing-profession-in-bangladesh-1613053258.

  • Thomas, A. O., Bakas, T., Miller, E., Johnson, K., & Cooley, H. (2022). Burnout and turnover among NICU nurses. The American Journal of Maternal Child Nursing, 47(1), 33–39. https://doi.org/10.1097/NMC.0000000000000780.

    Article  Google Scholar 

  • Uddin, A. B. M. (2022). December 01). Why Bangladesh should invest in health information technology. The Daily Star. https://www.thedailystar.net/opinion/views/news/why-bangladesh-should-invest-health-information-technology-3184146.

  • Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models an evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237.

    Article  Google Scholar 

  • Wong, R. (2018). Perception organization support and perception supervisor support: Impact on employees‘ job satisfaction and work engagement (Publication No: 13421948) [Master Dissertation, Adler University]. ProQuest dissertations and theses global.

  • Wu, W., Chin, W., & Liu, Y. (2022). Technostress and the smart hospitality employee. Journal of Hospitality and Tourism Technology, 13(3), 404–426. https://doi.org/10.1108/JHTT-01-2021-0032.

    Article  Google Scholar 

  • Xerri, M., Ben, F. W., Brunetto, Y., Crossan, F., & Beattie, R. (2019). Comparing the impact of management on public and private nurses in Bangladesh. International Journal of Public Sector Management, 32(7), 741–758. https://doi.org/10.1108/IJPSM-01-2019-0023.

    Article  Google Scholar 

  • Yeosock, A. (2020). The mediating role of work engagement on the relationship between perceived supervisor support and turnover intention (Publication No. 27964213) [Master Dissertation, San Jose State University]. ProQuest dissertations and theses global.

  • Yildiz, B., Yildiz, H., & Ayaz Arda, O. (2021). Relationship between work-family conflict and turnover intention in nurses: A meta-analytic review. Journal of Advanced Nursing, 77(8), 3317–3330. https://doi.org/10.1111/jan.14846.

    Article  Google Scholar 

  • Zhang, Y., Rasheed, M. I., & Luqman, A. (2019). Work-family conflict and turnover intentions among Chinese nurses: The combined role of job and life satisfaction and perceived supervisor support. Personnel Review, 49(5), 1140–1156. https://doi.org/10.1108/PR-01-2019-0017.

    Article  Google Scholar 

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  1. Department of Management Studies, Comilla University, Cumilla, 3506, Bangladesh

    Kazi Omar Siddiqi

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Siddiqi, K.O. Impact of technostress and work-family conflict on turnover intention among nurses in Bangladesh: a moderation effect of perceived supervisor support. J Comput Soc Sc (2024). https://doi.org/10.1007/s42001-024-00296-1

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