Template provided by: “posters4research.com” • Cronbach’s Alpha Value (0.625 – 0.8753), >0.6 - reliable and consistent • Descriptive Analysis - Mean of Variables -SR (most used) – 4.0528, TD (less used) – 3.4167 • To identify the common HRM practices used by the construction companies • To determine the effects of HRM practices on project performance INTRODUCTION OBJECTIVES CONCLUSION AND RECOMMENDATION EFFECTS OF HUMAN RESOURCE MANAGEMENT (HRM) PRACTICES ON PROJECT PERFORMANCE IN CONSTRUCTION INDUSTRY Lee Wai Yee ( PB12092) Bachelor of Project Management with Honors Faculty of Industrial Management, Universiti Malaysia Pahang RESULTS • All variables’ beta values are positive and all significant level of p-values are less than 0.05. HRM practices have positive significant relationship with project performance. All hypotheses are supported. All the objectives are met based on the results from analysis. Therefore, HRM practices are proven to increase project performance in the construction industry. • Recommendation for future study: to expand scope of study (include other states, other performance aspects) METHODS • Multiple Regression - 27.5% of the variation in the dependant variable is explained by independent variables - Beta values (positive), p-value <0.05 , positive significant relationship • Pearson Correlation (p<0.5) - SR, WD, TD, CS, PM have positive significant relationship with project performance. RESULTS OF MULTIPLE REGRESSION R² = 0.275 F= 4.626 V Beta Sig (p-value) SR 0.146 0.031 WD 0.133 0.006 TD 0.104 0.014 CS 0.120 0.015 PM 0.473 0.008 Independent Variables (IV) Human Resource Practices Selective Recruitment (SR) Work Design (WD) Training and Development (TD) Compensation System (CS) Performance Management (PM ) RESEARCH FRAMEWORK Project Performance D ependent Variables (DV) • Questionnaire (emails) • Tick-box & Likert scale Data collection • Response rate • Demographic profile • Pilot test • Reliability analysis • Descriptive Analysis • Pearson Correlation Analysis • Multiple Regression Analysis Data Analysis (SPSS) • Construction Industry Development Board (CIDB) list, The Research Advisors (2006) • Population: 102, Sample: 87 • Purposive Sampling Sampling Method Nowadays, construction projects are mostly complex and difficult to manage. HRM practices are used in company for effective functioning and it has the potential to influence the success or failure of projects. However, there are many human resource issues lead to poor project performance. Therefore, research was conducted to identify the common HRM practices used by the construction companies and to determine the effects of HRM practices on project performance. Data was collected from 87 project managers working in Grade 7 contractor companies in Kinta, Perak and was analyzed using SPSS 2.0 software. Descriptive analysis was used to identify the common HRM practices used by the construction companies and Multiple Regression analysis was used to determine the effects of HRM practices on project performance. The results of research can provide proof and insights and to encourage construction firms implement effective HRM practices to improve project performance. • HRM issues: shortage of qualified employees, poor work design, high turnover and employee burnout. • Common HRM practices in 5 areas: - Selective recruitment, work design, training and development, compensation system, performance management • Effects on project performance: - Cost and budget, schedule, requirement, resource utilization, project risk management, profit ABSTRACT