Workplace Flexibility Dimensions and Employee Engagement in Nigeria’s Food, Tobacco and Beverages Sector: Does Self-Efficacy Matter?
DOI:
https://doi.org/10.25159/2664-3731/20116Keywords:
employee engagement, functional flexibility, operational flexibility, self-efficacy, working-time flexibilityAbstract
The emergence of workplace flexibility as an alternative approach to traditional and rigid work structures has gained prominence in literature on management. Although this concept has been extensively explored and established to foster productivity and performance, there is still limited focus on understanding the specific contributions of its dimensions to psychological and individual outcomes, such as employee engagement. It is therefore important to understand how workplace flexibility dimensions (functional, operational and working time) affect employee engagement, and to further investigate the moderating effect of self-efficacy on the relationship. A total of 140 employees from a food, tobacco and beverage manufacturing plant in southwest Nigeria participated in the study. This study employed variance-based structural equation modelling to examine the relationship between three dimensions of workplace flexibility and employee engagement, and to test the moderating effect of self-efficacy. The results indicated that functional flexibility, operational flexibility and working time flexibility enhance employee engagement. However, self-efficacy only moderates the relationship between functional flexibility and employee engagement, with no effect on operational and working-time flexibility. The study discussed the implications of the study in relation to moving beyond symbolic flexibility and creating supportive cultures for flexibility.
References
Adeyemi, O. A., & Oludayo, O. A. (2023). Workplace flexibility and employee engagement: The mediating role of work-life balance and moderating effect of personality traits. Journal of Human Resource and Sustainability Studies, 11(2), 145–161.
Adisa, T. A., & Gbadamosi, G. (2021). Work–life border control model: A re-think of border theory. In T.A. Adisa & G. Gbadamosi (Eds.), Work–Life Interface (pp. 25–53). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-66648-4_2 DOI: https://doi.org/10.1007/978-3-030-66648-4_2
Agrawal, S., & Srivastava, A. (2021). Workplace flexibility and employee engagement: Mediating role of psychological empowerment. Global Business Review, 22(6), 1481–1499.
Agresti, A. (2016). An introduction to categorical data analysis (3rd ed.). Wiley.
Agwu, M. E. (2018). Industrial relations and human resource management in the Nigerian manufacturing sector. Journal of Business and Management, 20(4), 12–21.
Akanbi, F. T., & Yusuff, A. S. (2023). Flexible work arrangements and employee satisfaction: A study of private sector organisations in South Africa. Journal of Economics, Business and Sustainability.
Allen, T. D., Golden, T. D., & Shockley, K. M. (2015). How effective is telecommuting? Assessing the status of our scientific findings. Psychological Science in the Public Interest, 16(2), 40–68. https://doi.org/10.1177/1529100615593273 DOI: https://doi.org/10.1177/1529100615593273
Arifin, R., & Yusof, S. M. (2021). Lean practices and work engagement in manufacturing: The mediating role of continuous improvement culture. International Journal of Productivity and Performance Management, 70(9), 2517–2534.
Atkinson, J. (1984). Manpower strategies for flexible organisations. Personnel Management, 16(8), 28–31.
Bach, S. (2004). Managing human resources: Personnel management in transition. Blackwell.
Baird, L., & Meshoulam, I. (1988). Managing two fits of strategic human resource management. Academy of Management Review, 13(1), 116–128. https://doi.org/10.2307/258359 DOI: https://doi.org/10.2307/258359
Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. https://doi.org/10.1108/02683940710733115 DOI: https://doi.org/10.1108/02683940710733115
Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
Batt, R., & Colvin, A. J. S. (2011). An employment systems approach to turnover: Human resources practices, quits, dismissals, and performance. Academy of Management Journal, 54(4), 695–717. https://doi.org/10.5465/amj.2011.64869448 DOI: https://doi.org/10.5465/amj.2011.64869448
Bear, J. (2017). Flexible work arrangements: Global trends and regional comparisons. International Labour Review, 156(4), 587–610.
Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
Chin, W. W. (2010). How to write up and report PLS analyses. In V. E. Vinzi, W. W. Chin, J. Henseler & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods, and applications (2). Springer handbooks of computational statistics series (pp. 655–690). Springer. DOI: https://doi.org/10.1007/978-3-540-32827-8_29
Clark, S. C. (2001). Work/family border theory: A new theory of work/family balance. Human Relations, 54(6), 747–770. https://doi.org/10.1177/0018726701546001 DOI: https://doi.org/10.1177/0018726700536001
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155 DOI: https://doi.org/10.1037/0033-2909.112.1.155
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01 DOI: https://doi.org/10.1207/S15327965PLI1104_01
Edwards, J. R., & Rothbard, N. P. (2000). Mechanisms linking work and family: Clarifying the relationship between work and family constructs. Academy of Management Review, 25(1), 178–199. https://doi.org/10.5465/amr.2000.2791609 DOI: https://doi.org/10.2307/259269
Eshak, N. E., Elshaer, I. A., & Azazz, A. M. S. (2021). The impact of digital transformation on organisational performance: Evidence from the Egyptian service sector. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 1–20.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312 DOI: https://doi.org/10.1177/002224378101800104
Gartner. (2023). Future of work trends post-COVID-19. https://www.gartner.com/en/articles/future-of-work-trends-post-covid-19
Gberevbie, D. E., Ayandele, I. A., & Adegoke, A. A. (2024). Workplace autonomy, employee engagement, and performance in emerging economies: A Nigerian perspective. African Journal of Management Research, 15(2), 88–102.
Gerard, J., Llorente, M., & Garcia, M. (2018). Development and validation of the Utrecht work engagement scale. Journal of Applied Psychology, 103(4), 447–461.
Ghosh, P., Rai, A., Chauhan, R., & Shukla, D. (2021). Organisational culture and employee engagement: Moderating effect of perceived organisational support. Personnel Review, 50(3), 816–831.
Giovanis, E. (2018). The relationship between flexible work arrangements and workplace performance in Asia-Pacific countries. Asian Economic Review, 60(3), 305–324.
Gusti, Z., & Dewi, Y. E. (2024). The role of job characteristics in moderating the influence of flexible work arrangement and self-efficacy on employee engagement. Indonesian Interdisciplinary Journal of Sharia Economics, 7(1), 1675–1699.
Hackman, J. R., & Oldham, G. R. (1976). Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, 16(2), 250–279. https://doi.org/10.1016/0030-5073(76)90016-7 DOI: https://doi.org/10.1016/0030-5073(76)90016-7
Hadi, M. A. (2023). Self-efficacy as a catalyst for flexible work arrangement outcomes. International Journal of Human Resource Studies, 13(1), 101–119.
Haider, S., & Azmi, F. T. (2019). Flexible work arrangements: A conceptual framework. International Journal of Human Resource Studies, 9(2), 239–254.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
Halpin, A., Meerson, A., Schmitt, C., & Doan, K. (2025). The power of flexibility. Industrial and Organizational Psychology, 18(1), 54–57. https://doi.org/10.1017/iop.2024.82 DOI: https://doi.org/10.1017/iop.2024.82
Harter, J. (2023,12 June). Globally, employees are more engaged – and more stressed. Gallup. https://www.gallup.com/workplace/506798/globally-employees-engaged-stressed.aspx
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 DOI: https://doi.org/10.1007/s11747-014-0403-8
Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692–724. DOI: https://doi.org/10.2307/256287
Kolawole, A., & Ibironke, O. (2021). Flexible work practices in emerging economies: Insights from Nigeria. African Journal of Management, 7(1), 88–102.
Kossek, E. E., & Michel, J. S. (2011). Flexible work schedules. In S. Zedeck (Ed.), APA handbook of industrial and organisational psychology (pp. 535–572). American Psychological Association. https://doi.org/10.1037/12169-017 DOI: https://doi.org/10.1037/12169-017
Lee, Y. Y., Gan, C. L., Liew, T. W., & Yan, Z. (2022). The impacts of mobile wallet app characteristics on online impulse buying: A moderated mediation model. Human Behavior and Emerging Technologies, 2022, 1–15. https://doi.org/10.1155/2022/2767735 DOI: https://doi.org/10.1155/2022/2767735
Leguina, A. (2015). A primer on partial least squares structural equation modeling (PLS-SEM). International Journal of Research & Method in Education, 38(2), 220–221. https://doi.org/10.1080/1743727X.2015.1005806 DOI: https://doi.org/10.1080/1743727X.2015.1005806
Lepak, D. P., & Snell, S. A. (1999). The human resource architecture: Toward a theory of human capital allocation and development. Academy of Management Review, 24(1), 31–48. https://doi.org/10.2307/259035 DOI: https://doi.org/10.5465/amr.1999.1580439
Mayo, M., Pastor, J. C., & Rodríguez, A. (2022). Flexible work practices and employee engagement in manufacturing: A multi-country study. Journal of Manufacturing Technology Management, 33(7), 1234–1250.
Nguyen, T. H., & Phan, T. L. (2021). Flexible work arrangements and employee health in industrial settings: Evidence from Southeast Asia. Journal of Occupational Health Psychology, 26(3), 312–325.
Obiageli, O., Uzochukwu, O. C., & Ngozi, N. (2015). Work–life balance and employee performance in selected Nigerian manufacturing firms. European Journal of Research and Reflection in Management Sciences, 3(1), 63–77.
Oludayo, O. A., Falola, H. O., Obianuju, A., & Demilade, F. (2018). Work-life balance initiative as a predictor of employees’ behavioral outcomes. Academy of Strategic Management Journal, 17(1), 1–17.
Parveen, M., & Rizq, A. T. (2024). Striking the balance: How workplace flexibility enhances engagement and performance of employees working in public and private settings. Management, 28(2), 33–69. https://doi.org/10.58691/man/192788 DOI: https://doi.org/10.58691/man/192788
Putra, D. A., Cho, S., & Liu, Y. (2020). Work flexibility and employee engagement: The role of psychological empowerment and organisational trust. Journal of Management & Organisation, 26(4), 515–533.
Rastogi, P. N., Sharma, S., & Gupta, R. (2018). Working-time flexibility and its impact on employee performance in the service and manufacturing sectors. International Journal of Human Resource Management, 29(5), 890–912.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of market research. Springer. https://doi.org/10.1007/978-3-319-05542-8_15-1 DOI: https://doi.org/10.1007/978-3-319-05542-8_15-1
Schwarzer, R., & Jerusalem, M. (1995). Generalized self-efficacy scale. In J. Weinman, S. Wright & M. Johnston (Eds.), Measures in health psychology: A user’s portfolio. Causal and control beliefs. Windsor. DOI: https://doi.org/10.1037/t00393-000
Shuck, B., Bailey, C., & Rose, K. (2022). Reimagining employee engagement: A human-centered approach. Human Resource Development International, 25(1), 3–21.
Singh, M., Shaik, H., & Bukhari, A. (2022). Investigating the role of self-efficacy and work engagement in flexible work environments. Employee Relations, 44(6), 1267–1285.
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 DOI: https://doi.org/10.1037/a0027974
Tims, M., Bakker, A. B., & Derks, D. (2014). Job crafting and job performance: A longitudinal study. European Journal of Work and Organizational Psychology, 24(6), 914–928. http://www.tandfonline.com/action/showCitFormats?doi=10.1080/1359432X.2014.969245 DOI: https://doi.org/10.1080/1359432X.2014.969245
Van den Berg, P. T., & Van der Velde, M. E. G. (2005). The measurement of functional flexibility in the workplace. International Journal of Human Resource Management, 16(2), 383–402.
Wang, B., Liu, Y., Qian, J., & Parker, S. K. (2021). Achieving effective remote working during the COVID‐19 pandemic: A work design perspective. Applied Psychology, 70(1), 16–59. https://doi.org/10.1111/apps.12290 DOI: https://doi.org/10.1111/apps.12290
Wong, S. I., Soo, C., Fazeela, F., & Sudhakar, J. (2024). The conditional benefits of flexible working arrangements: Exploring the role of psychological resources. Asia Pacific Journal of Human Resources, 62(1), 22–41.
Wood, S., Van Veldhoven, M., Croon, M., & De Menezes, L. M. (2019). Enriched job design, high involvement management, and organisational performance: The mediating roles of job satisfaction and well-being. Human Relations, 72(11), 1691–1716.
Yusuf, A. A., Adeleke, I. T., & Adebayo, R. O. (2023). Flexible work arrangements and employee retention in Nigerian manufacturing firms. African Journal of Human Resource Management, 11(1), 88–99.
Zhang, L., & Xie, Y. (2022). Temporal flexibility and labor productivity in Chinese manufacturing firms. Asia Pacific Journal of Human Resources, 60(2), 174–191.