Lean Six Sigma Practices and Job Performance among University’s Admin Staffs

Read full text
Authors: Tan Owee Kowang, Mohamad Sufri Bin Mohd Shukor, Lim Kim Yew, Ong Choon Hee, Goh Chin Fei
Cited by: 0

Abstract

Empirical findings suggest that Lean Six Sigma (LSS) is an effective approach for enhancing both job and organizational performance across service and manufacturing industries. In recent years, LSS has been adopted in higher education institutions, offering a structured methodology to identify inefficiencies and implement sustainable improvements. However, research on LSS implementation within administrative functions in universities remains limited. Therefore, this study aims to examine the level of LSS practice implementation among administrative staff in a Malaysian public university (Research Objective 1), and to explore the relationship between these practices and job performance (Research Objective 2). Drawing from relevant literature, five key LSS practices were identified: Top Management Support, Continuous Improvement Culture, Communication, Training, and Employee Recognition and Rewards (ERR). This quantitative study employed a structured questionnaire distributed to 320 administrative staff, yielding 171 valid responses. Descriptive analysis showed that Top Management Support had the highest level of implementation, while Training was rated the lowest. Pearson correlation analysis revealed that all five LSS practices are significantly and positively correlated with job performance among the administrative staff. These findings offer valuable insights into how LSS practices influence job performance and underscore the importance of prioritizing LSS practices for successful LSS implementation and improved individual job performance.

Fields of Study & Subjects

Quality and Supply Management Operations Management Techniques Management and Optimization Techniques

Publication details

Journal / source
International Journal of Academic Research in Progressive Education and Development
Volume
15
Issue
1
Publication date
2 January 2026
Language
EN