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The purpose of this paper is to identify, confirm and validate a model appropriate to capture the interrelationships between different variables to develop and improve social housing quality, adequacy, provision and residents’ quality of life (RQOL).

This research adopted a quantitative approach to examine the research objectives of this study. The proposed conceptual framework was tested using primary data collected from a survey of 418 residents of the new urban center of Hamla. The data were analyzed using descriptive analysis and exploratory factor analysis through SPSS. In addition, confirmatory factor analysis was performed using AMOS before validating the measurement model and testing the hypotheses through structural equation modeling (SEM).

The results of SEM indicated acceptable high goodness-of-fit indices. The results revealed that three out of six hypotheses were supported. Consequently, residential quality and housing adequacy appeared to have a vital role in the conceptual framework, as it influenced social housing provision and RQOL and was influenced by socio-economic characteristics.

The present study illustrates the interrelationships between the proposed variables using SEM analysis. In addition, by understanding the direct relationships between the selected variables, the findings would be useful for the concerned authorities to ameliorate and upgrade the social housing quality and adequacy along with surpassing the current shortage, which would enhance and contribute to the amelioration of the RQOL and throughout Algeria.

This paper aims to establish, examine, validate the relationships and develop a conceptual framework in the context of Algerian social housing that contributes to the assessment and amelioration of social housing.

The purpose of this paper is twofold: first, it explores the influencing factors of the government’s trust decision-making in the private sector; second, it explores how these influencing factors affect the government’s trust decisions.

A theoretical model was established, and a questionnaire survey was conducted among 152 professionals. The collected datas were analyzed by the structural equation modeling (SEM) method.

The study identified four critical factors that influence the government’s decision to trust the private sector in public-private-partnership (PPP) projects. All the four factors have a positively correlated impact on the government’s trust decision-making. The structural equation path analysis shows that the most important factor affecting the government’s trust decision-making is the trustee’s (private sector) trustworthy characteristics, and the path coefficient is 0.92. The path coefficients of risk perception and the trustor’s trust tendency are 0.83 and 0.74, respectively. The influence of the legal system environment on government trust decision-making is moderate, with a path coefficient of 0.68.

This paper contributes to the literature in two aspects. First, the factors influencing decision-making to government trust in the private sector in PPP projects have been identified. Second, a comprehensive view of the mechanism of government trust in the private sector in PPP projects has been theorized by the SEM method.