Given that corruption has been a pervasive feature of the construction industry, many industry players have focused on varied anti-corruption practices to curb the menace. However, the effectiveness and performance of these anti-corruption practices in the industry is lacking. The purpose of this study is to assess the performance of anti-corruption practices among project team participants in the Ghanaian construction industry
From a critique and synthesis from extant literature review, anti-corruption practices that have been extensively adopted were identified. By following the Lange’s corruption control attributes, the identified practices were operationalized. Subsequently, data was elicited from project team participants in the construction supply chain in Ghana through a questionnaire survey based on a deduction research design due to its suitability in offering objective assessment of a phenomenon, a criteria or a rating. The total 49 responses gathered from the survey was analyzed using multi-attribute estimation and probability performance measurement model.
The results indicate a high performance among the team participants in autonomy reduction control and intrinsically oriented control attributes in anti-corruption practices. In the case of consequence systems control and environmental sanctioning controls (EC), the performance of the participants was deemed to be low (below 50%) except for engineers where in (EC attributes, their performance was above 50%. However, the overall performance of the team participants across the four domain controls was adjudged to be good (above 50%). This suggests that, there are role-specific performance distinctions among the participants across the four attributes of anti-corruption control practices
This study has given an accentuation to Lange’s corruption control attributes by gaining an understanding of the integrated performance of anti-corruption practices among project participants in project supply chain. The findings thus broaden the effectiveness and performance of corruption control strategies and can serve as a panacea for optimization and logical prioritization of anti-corruption practices in the construction industry.
