CAUSAL RELATIONSHIP MODEL OF PROBLEMS IN PUBLIC SECTOR PROCUREMENT

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Abstract

Although the e-Government Procurement System has been adopted and used in the public sectors, a small number of studies have been concerned about the procurement relating to the construction sector. This research, therefore, was intended to investigate concordance between a hypothetical causal model and empirical information. Questionnaires were used with 353 samples from the government officers. Statistical analysis was conducted by utilizing SPSS 25 and AMOS 25 to determine percentage, mean, standard deviation, factor analysis, and structural equation modeling (SEM). Results revealed that the analysis model was in accordance with empirical information which resulted in Chi-square (x2) = 43.376, x2/df = 1.276, df = 34, p = 0.130, NFI = 0.989, GFI = 0.979, CFI = 0.998, RAR = 0.008, RMSE = 0.028 and R2 value = 0.819. This indicated that the causal relationship model from this study was appropriately corresponding to the empirical information at a substantial level.

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Chaitongrat, T., Liwthaisong, S., Aksorn, P., Kusonkhum, W., & Leungbootnak, N. (2021). CAUSAL RELATIONSHIP MODEL OF PROBLEMS IN PUBLIC SECTOR PROCUREMENT. International Journal of GEOMATE, 20(80), 52–58. https://doi.org/10.21660/2021.80.6266

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