EXAMINING THE MOTIVATION-PERFORMANCE LINK AMONG CONSTRUCTION EMPLOYEES IN WESTERN CAPE, SOUTH AFRICA

The construction industry, serving as a cornerstone in economic development, necessitates a comprehensive understanding of the determinants influencing the productivity of construction workers. This study delves into the motivating drivers and challenging factors impacting construction workers' productivity in Western Cape, South Africa. The research context underscores the pivotal role of motivation in augmenting worker productivity while acknowledging the adverse effects of challenging elements on job satisfaction and overall project success. Employing a survey research design, the study focused on 200 construction professionals in the Western Cape Province, South Africa. A stratified proportional random sampling technique was employed to ensure a representative sample of 200 participants and only 146 were retrieved. The data collection process encompassed a structured questionnaire, covering demographic characteristics, motivation, and factors influencing productivity. Rigorous analyses, including mean and standard deviation and Pearson Product Moment Correlation, were conducted using the Statistical Package for Social Sciences (SPSS) software, facilitating a systematic examination of the collected data. The noteworthy findings highlight the significance of factors such as recognition by authority, responsibility, provision of healthcare services, working conditions, transportation facilities, promotion opportunities, error tolerance, salary increments, adherence to company policies, and participation in decision-making processes as significant motivators. Conversely, challenges such as lack of cooperation among fellow workers, unfair reward practices, lack of appreciation for job performance, poor supervision, irregular salary payments, inadequate safety measures, lack of respect by supervisors, presence of incompetent crew members, and repetitive tasks were identified. This research highlights the drive relationship between motivation and productivity in the construction industry which emphasises the need to focus on motivational factors that improve productivity problems. In conclusion, it is stated that improving worker motivation and, by extension, productivity in the construction sector, requires addressing both challenging and motivating factors. Construction companies may create a productive and motivating environment for employees by implementing practice strategies such as guaranteeing safety, enhancing supervision, encouraging justice and respect, offering sufficient training, recognising accomplishments, and promoting teamwork. The research findings have significant implications for the Western Cape's construction firms and other industries, as they can help guide the development of motivational strategies that will increase worker output and project success.

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Publication Details

Journal
AI and Data Science Journal
Published
2025-01-22
DOI
https://doi.org/10.61784/adsj3007
Primary Topic
Construction Project Management and Performance
Type
article
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article

EXAMINING THE MOTIVATION-PERFORMANCE LINK AMONG CONSTRUCTION EMPLOYEES IN WESTERN CAPE, SOUTH AFRICA

AI and Data Science Journal
Construction Project Management and Performance
article

EXAMINING THE MOTIVATION-PERFORMANCE LINK AMONG CONSTRUCTION EMPLOYEES IN WESTERN CAPE, SOUTH AFRICA

article en

Abstract

The construction industry, serving as a cornerstone in economic development, necessitates a comprehensive understanding of the determinants influencing the productivity of construction workers. This study delves into the motivating drivers and challenging factors impacting construction workers' productivity in Western Cape, South Africa. The research context underscores the pivotal role of motivation in augmenting worker productivity while acknowledging the adverse effects of challenging elements on job satisfaction and overall project success. Employing a survey research design, the study focused on 200 construction professionals in the Western Cape Province, South Africa. A stratified proportional random sampling technique was employed to ensure a representative sample of 200 participants and only 146 were retrieved. The data collection process encompassed a structured questionnaire, covering demographic characteristics, motivation, and factors influencing productivity. Rigorous analyses, including mean and standard deviation and Pearson Product Moment Correlation, were conducted using the Statistical Package for Social Sciences (SPSS) software, facilitating a systematic examination of the collected data. The noteworthy findings highlight the significance of factors such as recognition by authority, responsibility, provision of healthcare services, working conditions, transportation facilities, promotion opportunities, error tolerance, salary increments, adherence to company policies, and participation in decision-making processes as significant motivators. Conversely, challenges such as lack of cooperation among fellow workers, unfair reward practices, lack of appreciation for job performance, poor supervision, irregular salary payments, inadequate safety measures, lack of respect by supervisors, presence of incompetent crew members, and repetitive tasks were identified. This research highlights the drive relationship between motivation and productivity in the construction industry which emphasises the need to focus on motivational factors that improve productivity problems. In conclusion, it is stated that improving worker motivation and, by extension, productivity in the construction sector, requires addressing both challenging and motivating factors. Construction companies may create a productive and motivating environment for employees by implementing practice strategies such as guaranteeing safety, enhancing supervision, encouraging justice and respect, offering sufficient training, recognising accomplishments, and promoting teamwork. The research findings have significant implications for the Western Cape's construction firms and other industries, as they can help guide the development of motivational strategies that will increase worker output and project success.

AI and Data Science JournalVol. 2(1)
Tshwane University of Technology (ZA), Cape Peninsula University of Technology (ZA)
Decent work and economic growth
Openalex Percentile: Top 99%
Construction Project Management and Performance
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