The Relationship between Workload and Job Performance in Private Higher Education Institutions: A Case Study in Kolej Poly-Tech MARA, Northern Malaysia

Authors

  • Muhamad Nasrullah Zamri UNIVERSITI TEKNOLOGI MARA PERAK CAMPUS SERI ISKANDAR
  • Wan Asri Wan Ab. Aziz 2Faculty of Business and Management, Universiti Teknologi MARA Terengganu, Sura Hujung, 23000 Dungun, Terengganu, Malaysia
  • Nor Tasnim Syahera Rasak Department of Business and Management, Universiti Teknologi MARA Perak, 32610 Seri Iskandar, Perak, Malaysia
  • Muhammad Hafiz Suhaimi School of Technology Management, Universiti Teknologi MARA Pahang, Lintasan Semarak, Bandar Jengka, 26400 Bandar Tun Razak, Pahang, Malaysia

DOI:

https://doi.org/10.24191/eaj.v13i2.3197

Abstract

Workload is a significant issue impacting employee job performance. Heavy workloads often lead to diminished performance, which lowers morale and increases employee turnover within organizations. This study focused on workload as a job stressor and its effects on job performance. The aim was to explore the relationship between workload and job performance among employees at Kolej Poly-Tech MARA, Northern Malaysia. Quantitative data were gathered through questionnaires distributed to 127 employees of the institution. The analysis revealed a moderate negative and significant relationship between workload and job performance (r=-0.528, p<.05) at Kolej Poly-Tech MARA, Northern Malaysia.  Consequently, workload directly affects job performance at this institution. Recommendations include improving the current information systems and procedures to eliminate redundant tasks, revising employee salaries and benefits, and, if funds permit, hiring additional employees to alleviate the workload on current employees. Future research should consider comparing public and private universities or colleges to assess differences in stress levels. Additionally, increasing the number of respondents and including other branches of Kolej Poly-Tech MARA could enhance the study. Finally, expanding the conceptual framework by incorporating more variables and applying different analytical methods, such as SEM-PLS, would further benefit future research.

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Published

29-11-2024

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