Relationship between Job Satisfaction and Employee Performance in the Construction Industry of Pakistan

Author:

Memon Aftab Hameed1ORCID,Khahro Shabir Hussain23ORCID,Memon Nafees Ahmed4,Memon Zubair Ahmed2ORCID,Mustafa Ahmed4

Affiliation:

1. Department of Civil Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah 67450, Pakistan

2. Department of Engineering Management, College of Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia

3. Educational Research Lab, Prince Sultan University, Riyadh 11586, Saudi Arabia

4. Department of Civil Engineering, Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan

Abstract

Organizations focus on human resources to improve performance as a result of high global competition and a dynamic business environment. In today’s competitive environment, employee performance and job satisfaction are critical to the achievement of a company’s goals. Job satisfaction is an organization’s unnoticed success. Employee performance and job satisfaction are powerful tools that help in continuously developing and improving organizational performance to achieve strategic objectives. Job satisfaction is critical to the overall productivity of any given industry. Job satisfaction is important for both the employer and the employee. According to studies, employers greatly benefit from satisfied employees because they are more productive. One of the most important goals of a company is to maximize employee performance to achieve those goals. As a result, the focus of this study was on identifying the factors of job satisfaction and employee performance. It also evaluated the relationship between job satisfaction and employee performance in Pakistani construction projects. A detailed literature review was used to identify various factors, which were then shortlisted based on their relevance to the Pakistani construction industry by interviewing ten experienced practitioners. Totals of 11 job satisfaction and eight employee performance parameters were discovered. In total, 85 samples were collected as part of the data collection process via a questionnaire survey and statistically analyzed using multiple regression analysis. According to the results, all of the models have a high ability to compute the increase in employee performance criteria via the predicting variables. The overall models are significant because a value less than 0.05 indicates that they are. The study’s findings will assist practitioners in understanding the critical criteria that will increase employer satisfaction and improve performance.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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