Volume 7, Issue 1 (5-2024)
Iranian Journal of Educational Sociology 2024, 7(1): 57-65 |
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Emami D, Ahmadi M, Ghaffari R. (2024). Presenting a Pattern of Flexible working Hours in Government Organizations with an Emphasis on Increasing the Productivity Level of Academic Employees in the Ministry of Cooperation, Labor and Social Welfare. Iranian Journal of Educational Sociology. 7(1), 57-65. doi:10.61838/kman.ijes.7.1.6
URL: http://iase-idje.ir/article-1-1358-en.html
URL: http://iase-idje.ir/article-1-1358-en.html
1- PhD Student, Public Administration, Decision Making and General Policy Making, Sari Branch, Islamic Azad University, Sari, Iran
2- Assistant Professor, Department of Public Administration, Faculty of Humanities, Sari Branch, Islamic Azad University, Sari, Iran (Corresponding Author)
3- Assistant Professor, Department of Public Administration, Faculty of Humanities, Sari Branch, Islamic Azad University, Sari, Iran.
2- Assistant Professor, Department of Public Administration, Faculty of Humanities, Sari Branch, Islamic Azad University, Sari, Iran (Corresponding Author)
3- Assistant Professor, Department of Public Administration, Faculty of Humanities, Sari Branch, Islamic Azad University, Sari, Iran.
Abstract: (1272 Views)
Purpose: Flexible working hours can impact employee productivity. Therefore, the current research aimed to present a model for flexible working hours in public organizations, emphasizing increasing the productivity level of knowledge workers.
Methodology: The present study was applied in objective and mixed-method (qualitative and quantitative) in execution. The qualitative study population included all academic and organizational experts familiar with the research domain, with a sample size of 25 determined based on theoretical saturation principle and selected through purposive sampling. The quantitative study population comprised all staff members of the Ministry of Cooperatives, Labor, and Social Welfare, with a sample size of 205 determined by Cochran's formula and selected through simple random sampling. Data for qualitative and quantitative sections were collected respectively using interviews and researcher-made questionnaires and analyzed with thematic analysis and exploratory factor analysis methods in Maxqda and Smart-PLS software, respectively.
Findings: Qualitative findings revealed that flexible working hours encompassed 15 sub-themes in 3 main themes: floating work hours, floating work location, and collaborative work; and employee productivity comprised 20 sub-themes in 3 main themes: self-management, self-control, and self-organization. Quantitative findings indicated that all themes of flexible working hours and employee productivity had a factor loading and extracted variance mean higher than 0.50 and Cronbach's alpha and composite reliability higher than 0.80. Other findings showed that the themes of floating work hours, floating work location, and collaborative work had a direct and significant effect on flexible working hours, and the themes of self-management, self-control, and self-organization had a direct and significant effect on employee productivity, and flexible working hours had a direct and significant effect on employee productivity (P<0.05).
Conclusion: The results of this study indicate that flexible working hours play an effective role in enhancing the level of employee productivity. Therefore, to improve employee productivity, the themes of floating work hours, floating work location, and collaborative work can be utilized.
Methodology: The present study was applied in objective and mixed-method (qualitative and quantitative) in execution. The qualitative study population included all academic and organizational experts familiar with the research domain, with a sample size of 25 determined based on theoretical saturation principle and selected through purposive sampling. The quantitative study population comprised all staff members of the Ministry of Cooperatives, Labor, and Social Welfare, with a sample size of 205 determined by Cochran's formula and selected through simple random sampling. Data for qualitative and quantitative sections were collected respectively using interviews and researcher-made questionnaires and analyzed with thematic analysis and exploratory factor analysis methods in Maxqda and Smart-PLS software, respectively.
Findings: Qualitative findings revealed that flexible working hours encompassed 15 sub-themes in 3 main themes: floating work hours, floating work location, and collaborative work; and employee productivity comprised 20 sub-themes in 3 main themes: self-management, self-control, and self-organization. Quantitative findings indicated that all themes of flexible working hours and employee productivity had a factor loading and extracted variance mean higher than 0.50 and Cronbach's alpha and composite reliability higher than 0.80. Other findings showed that the themes of floating work hours, floating work location, and collaborative work had a direct and significant effect on flexible working hours, and the themes of self-management, self-control, and self-organization had a direct and significant effect on employee productivity, and flexible working hours had a direct and significant effect on employee productivity (P<0.05).
Conclusion: The results of this study indicate that flexible working hours play an effective role in enhancing the level of employee productivity. Therefore, to improve employee productivity, the themes of floating work hours, floating work location, and collaborative work can be utilized.
Keywords: Flexible working hours, employee productivity, public organizations, self-management, self-control, self-organization
Type of Study: Research Article |
Subject:
Special
Received: 2023/11/12 | Accepted: 2024/01/7 | Published: 2024/03/6
Received: 2023/11/12 | Accepted: 2024/01/7 | Published: 2024/03/6
References
1. Abd Rahman, A., Mohammad Talha Mohamed, I., & Mohd Hilmi, H. (2013). A study of flexible working hours and motivation. Asian Social Science, 9(3), 208-215. https://www.academia.edu/download/38386665/flexible.pdf [DOI:10.5539/ass.v9n3p208]
2. Abeille, A., Pawlak, J., & Sivakumar, A. (2022). Exploring the meaning and drivers of personal (Un-)Productivity of knowledge workers in mobile settings. Travel Behaviour and Society, 27, 26-37. [DOI:10.1016/j.tbs.2021.11.004]
3. Amini, A., Dorri Giv, R., & Ahmadi Zahrani, M. (2022). Identifying Factors Affecting Teleworking Productivity During COVID-19 Pandemic Using Fuzzy Techniques. The Journal of Productivity Management, 16(2 (61) summer), 101-138. https://www.sid.ir/fileserver/jf/22014016104
4. Ashkan, E., Motafakker Azad, M. A., Salmani Bishak, M. R., Ranj Pour, R., & Mohamadzadeh, P. (2019). Investigating the impact of women's flexible hours on their family responsibilities with an Islamic approach. Islamic Economics, 19(74), 241-270. https://eghtesad.iict.ac.ir/article_35790.html?lang=en
5. Banihashemi, S. A., Rajaei, Z., & Banaei, F. (2021). Evaluating of Productivity of Knowledge Workers based on the Mládková model from the perspective of University Faculty Members. Journal of Naja Human Resources, 15(63), 81-102. https://www.magiran.com/paper/2314237
6. Cai, X., Lu, Y., & Wang, J. (2018). The impact of temperature on manufacturing worker productivity: Evidence from personnel data. Journal of Comparative Economics, 46(4), 889-905.
https://doi.org/10.1016/j.jce.2018.06.003 [DOI:10.1016/j.jce.2018.06.0031]
7. Emami, D., Ahmadi, M., & Ghaffari, R. (2020). Identify the Characteristics and Components of a Flexible Working Hours Model with a Focus on Productivity. Islamic Life Journal, 4(4), 307-317. http://islamiclifej.com/browse.php?a_id=1036&slc_lang=en&sid=1&printcase=1&hbnr=1&hmb=1
8. Florez, L., & Cortissoz, J. C. (2017). Using Workers Compatibility to Predict Labor Productivity through Cluster Analysis. Procedia Engineering, 196, 359-365. [DOI:10.1016/j.proeng.2017.07.211]
9. Hafezian, M., & Golpasand, J. (2019). Structural Equation Model in relation to Organizational Culture, Flexibility of Working Hours and Staff Loyalty with Mediating Role of Organizational Commitment. Journal of Cultural Management, 12(42), 67-82. https://scholar.google.com/scholar?lookup=0&q=+Structural+equation+model+in+relation+to+organizational+culture,+flexibility+of+working+hours+and+staff+loyalty+with+mediating+role+of+organizational+commitment&hl=en&as_sdt=0,5
10. Kale, J. R., Ryan, H. E., & Wang, L. (2019). Outside employment opportunities, employee productivity, and debt discipline. Journal of Corporate Finance, 59, 142-161. [DOI:10.1016/j.jcorpfin.2016.08.005]
11. Ma, L., & Ye, R. (2019). Does daily commuting behavior matter to employee productivity? Journal of Transport Geography, 76, 130-141. [DOI:10.1016/j.jtrangeo.2019.03.008]
12. Mehdipoor, M., & Bibi Hafizeh, M. (2020). The Effectiveness of Organizational Culture and Job stress on Personnel Productivity of university. Journal of New Approaches in Educational Administration, 11(45), 305-318. https://jedu.marvdasht.iau.ir/article_4450.html?lang=en
13. Munch, E., & Proulhac, L. (2023). Is work hours' flexibility really a solution to morning peak period congestion? Comparative analysis between Paris and San Francisco. Journal of Transport Geography, 113, 103712. [DOI:10.1016/j.jtrangeo.2023.103712]
14. Pang, Y. (2018). Profitable pollution abatement? A worker productivity perspective. Resource and Energy Economics, 52, 33-49. [DOI:10.1016/j.reseneeco.2017.12.003]
15. Rajesh, M., Prakash, M., Rajanna, S., & Vijaya Kumar, G. (2021). Optimization of workplace parameters using Taguchi's orthogonal array approach to enhance the worker productivity. Materials Today: Proceedings, 47, 2516-2519. [DOI:10.1016/j.matpr.2021.05.045]
16. Sheveleva, L., Jones, M., & Harris, I. (2023). It does not matter how hard you work: The importance of task allocation for worker productivity. Economics Letters, 227, 111115. [DOI:10.1016/j.econlet.2023.111115]
17. Silim, A., & Stirling, A. (2014). Women and flexible working: Improving female employment outcomes in Europe. IPPR. https://www.voced.edu.au/content/ngv:66984
18. Song, K., Guo, M., Chu, F., Yang, S., & Xiang, K. (2023). The influence of perceived Human Resource strength on safety performance among high-speed railway drivers: The role of organizational identification and psychological capital. Journal of Safety Research, 85, 339-347. [DOI:10.1016/j.jsr.2023.04.001] [PMID]
19. Tulu, D. T. (2017). Should online social Medias (OSMs) be banned at work? The impact of social Medias on employee productivity in Ambo University, a case study. Research in International Business and Finance, 42, 1096-1102. [DOI:10.1016/j.ribaf.2017.07.044]
20. von Schéele, F., Haftor, D. M., & Pashkevich, N. (2019). Cognitive time distortion as a hidden condition of worker productivity. Journal of Business Research, 101, 591-596. [DOI:10.1016/j.jbusres.2018.11.002]
21. Zhang, Y., Xu, S., Zhang, L., & Yang, M. (2021). Big data and human resource management research: An integrative review and new directions for future research. Journal of Business Research, 133, 34-50. https://www.sciencedirect.com/science/article/pii/S0148296321002563 [DOI:10.1016/j.jbusres.2021.04.019]
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