Determinants of Employee Productivity Among Selected Private Tertiary Education in Laoag City
DOI:
https://doi.org/10.5281/zenodo.22006210Keywords:
employee productivity, employee well-being, work environment, human capital, higher education, educational attainment, tenure, workplace healthAbstract
Employee productivity is central to organizational effectiveness, particularly in tertiary education institutions where teaching and non-teaching personnel contribute directly to institutional operations and service delivery. This study examined the factors associated with employee productivity among five selected private tertiary education institutions in Laoag City. It specifically assessed human, system, environmental, and health factors; determined the level of work productivity; examined the relationships between these factors and work productivity; assessed the moderating role of demographic profile; and identified demographic characteristics associated with productivity. A descriptive-correlational survey design was employed with 173 respondents selected through simple random sampling from a population of 312 employees. Data were collected through an adapted and modified questionnaire administered using Google Forms. The instrument demonstrated excellent internal consistency, with Cronbach's alpha coefficients of .954 for the productivity factors and .945 for work productivity indicators. Frequencies, percentages, weighted means, Pearson correlation, moderation analysis, and linear regression were used in the analysis. The findings showed that human, system, environmental, and health factors were positively and significantly related to work productivity, with health factors showing the strongest correlation (r = .902, p < .001). The respondents reported a high level of work productivity (M = 3.54). The interaction between the main productivity factors and demographic profile was not statistically significant (p = .463), indicating no evidence of moderation. Using the study's stated .01 significance criterion, educational attainment was the only demographic characteristic that significantly predicted work productivity (p < .001). The findings underscore the importance of employee well-being, supportive systems, conducive work environments, and health-related initiatives in strengthening productivity in private tertiary education institutions.
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Abdelwahed, N. A. A., & Al Doghan, M. A. (2023). Developing employee productivity and performance through work engagement and organizational factors in an educational society. Societies, 13(3). https://doi.org/10.3390/soc13030065
Arminas, N., Nurwahidah, A., & Ahdan, M. (2021). Effect of noise and room temperature on employee productivity in mechanical maintenance workshop PT. Semen Bosowa Maros. Journal of Physics: Conference Series, 1803(1), 012026. https://doi.org/10.1088/1742-6596/1803/1/012026
Bonacini, L., Gallo, G., & Scicchitano, S. (2021). Working from home and income inequality: Risks of a 'new normal' with COVID-19. Journal of Population Economics, 34(1), 303–360. https://doi.org/10.1007/s00148-020-00800-7
Cahyani, A. A. (2020). Influence of work environment noise to productivity of employee performance of Sidoarjo District. Journal of Public Health Science Research, 1(1), 12. https://doi.org/10.30587/jphsr.v1i1.1181
Chhetri, P., Gekara, V., Manzoni, A., & Montague, A. (2018). Productivity benefits of employer-sponsored training: A study of the Australian transport and logistics industry. Education + Training, 60(9), 1009–1025. https://doi.org/10.1108/ET-02-2017-0029
Croome, D., & Kaluarachchi, Y. (2000). Assessment and measurement of productivity.
de Oliveira, C., Saka, M., Bone, L., & Jacobs, R. (2022). The role of mental health on workplace productivity: A critical review of the literature. Applied Health Economics and Health Policy. https://doi.org/10.1007/s40258-022-00761-w
Felipe Contin de Oliveira, S., Aletta, F., & Kang, J. (2023). Self-rated health implications of noise for open-plan office workers: An overview of the literature. Building Acoustics. https://doi.org/10.1177/1351010X231152841
Fouad, A. M., Waheed, A., Gamal, A., Amer, S. A., Abdellah, R. F., & Shebl, F. M. (2017). Effect of chronic diseases on work productivity: A propensity score analysis. Journal of Occupational and Environmental Medicine, 59, 480–485. https://doi.org/10.1097/JOM.0000000000000981
Gabriele, R., Tundis, E., & Zaninotto, E. (2018). Aging workforce and productivity: The unintended effects of retirement regulation in Italy. Economia Politica, 35, 163–182. https://doi.org/10.1007/s40888-017-00079-x
Goldin, I., Koutroumpis, P., Lafond, F., Rochowicz, N., & Winkler, J. (2019). Oxford Martin School Programme on Technological and Economic Change: Reconciling rapid technological change and stagnating productivity.
Hassan, B., & Ogunkoya, O. (2014). Demographic variables and job performance: Any link? A case of insurance salesmen. Acta Universitatis Danubius. Œconomica, 10(4), 19–30.
Hendrawijaya, A. (2019). Demographic factors and employee performance: The mediating effect of employee empowerment. Media Ekonomi dan Manajemen, 34.
Hoobler, J. M., Wayne, S. J., & Lemmon, G. (2009). Bosses' perceptions of family-work conflict and women's promotability: Glass-ceiling effects. Academy of Management Journal, 52, 939–957.
Kakoulli, C., Kyriacou, A., & Michaelides, M. P. (2022). A review of field measurement studies on thermal comfort, indoor air quality and virus risk. Atmosphere, 13(2), 191. https://doi.org/10.3390/atmos13020191
Kampelmann, S., Rycx, F., Saks, Y., & Tojerow, I. (2018). Does education raise productivity and wages equally? The moderating role of age and gender. IZA Journal of Labor Economics, 7(1), 1–37. https://doi.org/10.1186/s40172-017-0061-4
Khoshbakht, M., Baird, G., & Rasheed, E. O. (2020). The influence of work group size and space sharing on the perceived productivity, overall comfort and health of occupants in commercial and academic buildings. Indoor and Built Environment. https://doi.org/10.1177/1420326X20912312
Kim, Y. K., Abdou, Y., Abdou, A., & Altan, H. (2022). Indoor environmental quality assessment and occupant satisfaction: A post-occupancy evaluation of a UAE university office building. Buildings, 12(7), 986. https://doi.org/10.3390/buildings12070986
Kenny, J. (2017). Academic work and performativity. Higher Education, 74, 897–913. https://doi.org/10.1007/s10734-016-0084-y
Markos, J. M. R., & Sandhya Sridevi, M. (2010). Employee engagement: The key to improving performance. International Journal of Business and Management, 5(12), 89–96. https://doi.org/10.5539/ijbm.v5n12p89
Mujan, I., Anđelković, A. S., Munćan, V., Kljajić, M., & Ružić, D. (2019). Influence of indoor environmental quality on human health and productivity: A review. Journal of Cleaner Production, 217, 646–657. https://doi.org/10.1016/j.jclepro.2019.01.307
Ng, T. W. H., & Feldman, D. C. (2013). A meta-analysis of the relationship of age and tenure with innovation-related behavior. Journal of Occupational and Organizational Psychology, 86, 585–616.
Pasban, M., & Nojedeh, S. H. (2016). A review of the role of human capital in the organization. Procedia - Social and Behavioral Sciences, 230, 249–253. https://doi.org/10.1016/j.sbspro.2016.09.032
Qabbal, L., Younsi, Z., & Naji, H. (2022). An indoor air quality and thermal comfort appraisal in a retrofitted university building via low-cost smart sensor. Indoor and Built Environment, 31(3), 586–606. https://doi.org/10.1177/1420326X211015717
Singh, S., & Chaudhary, N. (2022). Employee productivity: An analysis of dimensions and methodology through systematic literature review. The Empirical Economics Letters, 21(4), 183–204.
