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This study aims to investigate the association between various demographic factors and housing affordability in Saudi Arabia.

A questionnaire survey of households was undertaken, and responses were analysed using chi-square analysis and logistic regression.

The study found that gender and job rank were only significantly related to housing value, but not to housing type, type of tenancy or number of bedrooms. Age, level of income, nationality, household size and job sector had significant associations with housing type, type of tenancy, number of bedrooms and housing value. However, the study did not find a significant relationship between the education level of the head of the household and any housing characteristics. The findings from the logistic regressions indicated that the level of income odds ratio (OR = 25.634), and the value of housing (OR = 0.037) were the two most significant predictors of access to affordable housing, both with levels of significance of p < 0.001.

Even though this study has provided valuable findings and contributions to the literature and policymakers, certain limitations must also be highlighted. First, the study focused only on four housing characteristics: housing type, housing tenancy, number of bedrooms and housing value. It did not consider other housing characteristics, such as housing age and housing conditions, which also affect the affordability of housing. Second, the method adopted for this study has a limitation in terms of its sampling technique, namely, snowball sampling, which relies on each participant to recommend others based on their judgement and recommendation. Third, the sample size for this study was small. As a result, the generalization of these findings to Kingdom of Saudi Arabia (KSA) will be limited.

The current study’s findings will help decision makers in the housing sector to implement a housing delivery strategy that responds to escalating demand. It also contributes to the emerging body of literature by clarifying the relationships and influence between demographic factors and accessibility to affordable housing. In addition, the findings of this study support KSA’s ambitious Vision 2030, through which the government seeks to increase the rate of homeownership. The implications of the findings of this study also extend to help housing policymakers in similar developing countries where the delivery of affordable housing is a challenge.

The study is relevant because it investigates the relationships of demographic factors and housing affordability in one of the three agglomerations in the country. It can thus provide insight into the increasing demand for housing, which can help the Saudi Government to design and implement a housing delivery strategy and can support KSA’s ambitious Vision 2030, which targets increased homeownership. It can also improve our knowledge on the emergent body of literature on the effect of demographic characteristics on the affordability of housing in the country, and in similar developing countries where the delivery of affordable housing is a challenge.

Drawing from the combined theoretical approaches of the conservation of resources theory, broaden-and-build theory of positive emotions and social cognitive theory, the current study examined the relationships between employee financial well-being and employee productivity via employee happiness while exploring the moderating role of gender in this mediated relationship.

Using partial least squares approach for structural equation modeling, the hypothesized model was tested employing primary data collected from banking employees.

The results showed that employee financial well-being has a significant positive effect on employee productivity and this effect was mediated by employee happiness. In addition, the results showed that this indirect effect was moderated by gender such that the relationship was more pronounced in males (versus females).

This study contributes to the nescient research on the consequences of financial well-being especially at an organizational level, with several implications for individuals, employees and organizations, while at the same time offering new insights for future investigation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0676

Much empirical work has examined body-worn cameras (BWCs), and there is a growing interest in early intervention systems (EISs) in policing. Whether the effects of these accountability mechanisms are stable by officer gender and race remains unknown – important assumptions of each program despite differences in misconduct levels and policing practices by subgroups of officers (i.e. male vs female officers, White vs Black and Hispanic officers).

The current study uses data from a large Southwestern police department to examine the influence of BWCs and an EIS on alleged and sustained patrol officer misconduct between January 1, 2016 and December 31, 2020.

In line with expectations and the intended goal of these programs, the effects of BWCs and the EIS on officer misconduct were stable by officer gender and race.

Given the importance of addressing officer misconduct to build and maintain community trust and the rapid expansion of BWCs and EISs across the United States, it is vital that police departments consider the accountability programs they implement and the equity of these programs. The current study provides insight into this process in one agency and offers policy implications and directions for future research.