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This study aims to explore the relationship between three primary constructs: leadership styles, job satisfaction and organizational commitment among private-practice quantity surveyors in the Nigerian construction industry.

A questionnaire survey of 127 quantity surveying consultancy firms in Abuja was conducted using a quantitative research approach. A total of 76 acceptable questionnaires were returned from a total of 127 that were distributed, giving a response rate of approximately 60%. The data were analyzed using partial least square structural equation modelling.

Results showed a positive indirect link between leadership styles and organizational commitments, with job satisfaction acting as a partial mediator. It was also found through importance–performance map analysis, which is crucial for prioritizing managerial actions, that an employee’s commitment to a task is strongly influenced by that person’s level of job satisfaction.

The study is quantitative and cross-sectional in nature, collecting information from a single source within an organization. A longitudinal strategy and a mixed methods approach should be used in future research.

Superiors/principal partners should make an effort to demonstrate a comprehensive understanding of leadership styles that is capable of enhancing job satisfaction and creating pleasant interaction in the work environment to increase the commitment of employees working in quantity surveying consultancy businesses.

As far as the author is aware, this study is one of the few to examine the impact of job satisfaction as a mediator between organizational commitments and leadership styles in the Nigerian construction industry. Furthermore, the study provides the basis for further discussion of the concepts offered in the paper.

This paper evaluates the benefits of harnessing artificial intelligence (AI) tools for safety compliance on construction projects in Nigeria.

This study employed a specialised approach by combining qualitative and quantitative approach. The study carried out a brief systematic literature review (SLR) to identify the variables of the study. These variables were prepared in a questionnaire which was distributed among professionals within the Nigerian construction sector using purposive sampling. A total of 140 questionnaires were retrieved. The collected data were analysed using Relative Importance Index (RII), Ginni’s Mean (GM) and exploratory factor analysis (EFA).

The analysis revealed that all the identified benefits hold considerable importance, with an average RII of 0.86, with real-time monitoring as the most prominent advantage. However, using the GM which was 0.861, the study identified “mitigation of hazards on worksites” as the stationary benefit of AI in safety compliance.

The study was conducted exclusively within Nigeria’s Federal Capital Territory, using a cross-sectional survey approach.

The results will be valuable for professionals and practitioners in the Nigerian construction sector, as they will acquire insights into the potential advantages of utilising AI tools for monitoring of safety compliance on construction projects.

The study adopted a robust approach by identifying the stationary benefit using the GM in combination with RII and EFA.