HomeJournal of Interdisciplinary Perspectivesvol. 3 no. 10 (2025)

Determining Staffing Needs for the Office of the Registrar at Visayas State University- Isabel Campus

Simon Peter P. Diano | Fritzie F. Lucero

Discipline: management studies

 

Abstract:

The Registrar's Office at Visayas State University-Isabel Campus faces significant challenges due to understaffing, resulting in various work-related issues. This study determines the appropriate staffing needs to address these challenges and enhance office efficiency and effectiveness. A comprehensive work sampling study was conducted, collecting 1,225 observations over ten days from five staff members. Results indicated that staff productivity percentages exceeded the normal range of 70-75%, emphasizing the need for additional personnel to address excessive workload and mitigate associated risks. Two techniques—fractional manpower computation and workload analysis—were employed to determine optimal staffing requirements. Analysis revealed a fractional manpower value of 6.325, indicating that six staff members are necessary, considering fractional manpower cut-off values. The workload analysis corroborated this finding, ensuring an average workload of 95.04%, well below the 100% limit. The study concludes that the Registrar's Office should increase its staff from five to six individuals to achieve optimal functioning. This adjustment will significantly improve workload distribution and overall efficiency. The findings provide valuable insights for informed decision-making regarding personnel allocation in similar administrative settings, offering considerable practical implications for organizational management.



References:

  1. Asio, J. M. R. (2021). Determinants of work productivity among selected tertiary education employees: A pre-COVID-19 pandemic analysis. International Journal of Didactical Studies, 2(1), 101455. https://doi.org/10.33902/IJODS.2021167470
  2. Beaton, D., Bombardier, C., Escorpizo, R., Zhang, W., Lacaille, D., Boonen, A., Osborne, R. H., Anis, A. H., Strand, C. V., & Tugwell, P. S. (2009). Measuring worker productivity: Frameworks and measures. The Journal of Rheumatology, 36(9), 2100–2109. https://doi.org/10.3899/jrheum.090366
  3. Bick, A., Blandin, A., & Deming, D. (2025). The impact of generative AI on work productivity. Federal Reserve Bank of St. Louis Working Paper, 2024-027C. https://tinyurl.com/5n73dhkx
  4. Bröchner, J. (2017). Measuring the productivity of facilities management. Journal of Facilities Management, 15(3), 285–301. https://doi.org/10.1108/JFM-04-2016-0013
  5. Choi, H. (2012). Effects of a reduction in hours of work on labor productivity and labor costs in South Korea: Evidence from a regression discontinuity design (Master’s thesis). Lund University, Sweden. 
  6. Edu-Valsania, S., Laguia, A., & Moriano, J. (2022). Burnout: A review of theory and measurement. International Journal of Environmental Research and Public Health, 19(3), 1780. https://doi.org/10.3390/ijerph19031780
  7. Gallup. (2025). State of the Global Workplace: 2025 Report Gallup Press. https://tinyurl.com/wkk5snt7
  8. Gazi, M. A. I., Yusof, M. F., Islam, M. A., Amin, M. B., & Senathirajah, A. R. S. (2024). Analyzing the impact of employee job satisfaction on their job behavior in the industrial setting: An analysis from the perspective of job performance. Heliyon, 10(11), e32183. https://doi.org/10.1016/j.heliyon.2024.e32183
  9. Huynh Thi Thu, S., Pham, M., & Luc, H. N. (2025). Leveraging digital human resource management to optimize organizational performance in Vietnam. Humanities and Social Sciences Communications, 12, 802. https://doi.org/10.1057/s41599-025-05113-2
  10. Izzah, A., & Hidayat, H. (2022). Workload analysis on Seeu.co photo studio in Batam City. In Proceedings of the 4th International Conference on Applied Economics and Social Science (p. 298). Batam, Riau Islands, Indonesia. https://doi.org/10.4108/eai.5-10-2022.2325896
  11. Jonge, J., & Peeters, M. (2025). At work with sustainable well-being and sustainable performance: Testing the DISC model among office workers. Sustainability, 17(2), 643. https://doi.org/10.3390/su17020643
  12. Lei, M., Alam, G. M., & Bashir, K. (2025). The influence of academic staff job performance on job burnout: The moderating effect of psychological counselling. Humanities and Social Sciences Communications, 12, 749. https://doi.org/10.1057/s41599-025-05043-z
  13. Mańkowska, B. (2025). Burnout phenomenon still unresolved: The current state in theory and implications for public interest. Frontiers in Organizational Psychology, 3, 1549253. https://doi.org/10.3389/forgp.2025.1549253
  14. McKinsey & Company. (2023). Some employees are destroying value. Others are building it. Do you know the difference? McKinsey Global Institute. https://tinyurl.com/ycxkdbax
  15. NAVMAC. (2021). Navy total force manpower requirements handbook. Retrieved from https://tinyurl.com/yj62hb53
  16. Oxford University. (2019). Happy workers are 13% more productive. University of Oxford Research News. https://tinyurl.com/4ndrwma7
  17. Sari, R. M., Tarigan, U., & Rizkya, I. (2019). Workload of the workforce in the fertilizing industry: An analysis. IOP Conference Series: Materials Science and Engineering, 648(1), 012019. https://doi.org/10.1088/1757-899X/648/1/012019
  18. Sari, S. I. K., Winata, B. D. K., Andriani, D. P., & Putro, W. W. (2021). Work sampling method for analysis of performance and determining the number of workers in the warehouse department. Journal of Engineering and Management in Industrial Systems, 9(1), 59–67. https://doi.org/10.21776/ub.jemis.2021.009.01.6
  19. Van der Voordt, T., & Jensen, P. A. (2023). The impact of healthy workplaces on employee satisfaction, productivity, and costs. Journal of Corporate Real Estate, 25(1), 29–49. https://doi.org/10.1108/JCRE-03-2021-0012
  20. Whiteoak, J., Abell, D., & Becker, K. (2023). The leadership challenge of increasing productivity in the workplace without increasing burnout risk. Leadership & Organization Development Journal, 44(2), 260–273. https://doi.org/10.1108/LODJ-07-2021-0330
  21. Zhenjing, G., Chupradit, S., Ku, K., Nassani, A., & Haffar, M. (2022). Impact of employees’ workplace environment on employees’ performance: A multi-mediation model. Frontiers in Public Health, 10, 890400. https://doi.org/10.3389/fpubh.2022.890400