The Malaysian public has implemented various programs aid to improve the employee’s performance and the attitude while carrying the task. However, the number of issues arise among public sector employees over the past year. It is including their involvement in personal businesses, high absenteeism, punctuality, and consequently distracted their focus and job performance. Thus, this led the study to investigate the most researched psychological capital construct and job performance study; psychological capital (self-efficacy, hope, resilience, and optimism) on job performance among individual employees in the Management Service Division of Public Service Department Malaysia. It used a self-administered questionnaire to collect data from 200 public sector employees in Malaysia. It developed a research model of psychological capital and job performance theory and concept. The conducted research analyses revealed that psychological capital significantly influenced job performance. As self-efficacy is the strongest predictor of job performance, it further proposed that it is essential for the public institutions and agencies to encourage high confidence level among their employees, and emphasizing the importance of having high self-efficacy in performing the job while serving the citizens directly and indirectly. Further, as public sector employers, the government needs to encourage its employees to be optimistic in performing their duties, whether the outcome is uncertain.
Does Psychological Capital Matter for the Public Sector Employees? A Survey of the Impact of Psychological Capital on Individual Job Performance in Malaysia
N. E. Alias,Norfatiha Abu,W. Koe,N. H. Marmaya,Rozana Romaiha
Published 2020 in The International Journal of Academic Research in Business and Social Sciences
ABSTRACT
PUBLICATION RECORD
- Publication year
2020
- Venue
The International Journal of Academic Research in Business and Social Sciences
- Publication date
2020-08-28
- Fields of study
Business, Psychology
- Identifiers
- External record
- Source metadata
Semantic Scholar
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