Structural Analysis for Assessing the Effectiveness of Anti-Corruption Strategies on Public Trust

Anti-corruption initiatives are critical tools in the fight against unethical behavior, selling transparency and integrity in both the public and commercial sectors. This study explores the efficacy of anti-corruption techniques on public trust in organizations. Using a dataset comprising 300 employees from a legal aid center, the research assesses the impact of diverse anti-corruption measures on Public Trust Score (PTS). Data turned into collected through surveys measuring the Transparency Index (TI), Accountability Index (AI), Effectiveness of Oversight Bodies (EOB), Public Awareness Level (PAL), and Quality of Anti-Corruption Training (QACT). SPSS was employed for analysis, consisting of Structural Equation Modelling (SEM), Pearson correlation was used to assess the significance and direction of the correlation between each independent variable and the dependent variable, and Multiple Linear regressions (MLR) was used to assess the influence of numerous independent variables. Simultaneously at the dependent variable. The findings imply that more advantageous transparency, accountability, and powerful oversight significantly enhance public acceptance, while public recognition and training quality have a notable but lesser impact.