The intense competition between the Iranian construction companies has led them to take all appropriate measures to decrease the costs as much as possible. Hence, due to the pivotal role of human resources in construction projects cost, a major part of Iranian construction companies seek their profitability and survival in maximizing the productivity of their operatives. Because of the widespread belief among contractors about the low productivity of daily workers and operatives with basic salary, they commit a major part of their projects activities to sub-contractors. Deployment of sub-contractors by construction firms has become largely conventional in country's construction projects. The aims of this paper is defined as determining the factors and grounds affecting sub-contractors productivity and evaluate their overall negative side effects on project productivity via a structured questionnaire. A total of 31 factors selected and were divided into 7 broad categories. The perceptions of companies managers were asked about the level of effect brought about by the mentioned factors and groups upon productivity on a time based criterion. The analysis indicated that the most important grounds affecting sub-contractors productivity in descending order include: Materials/Tools, Construction technology and method, Planning, Supervision system, Reworks, Weather, and Jobsite condition. Project managers should focus on the identified major grounds and relevant factors in order to improve productivity as long as they commit construction activities to sub-contractors.

Purpose – The purpose of this paper is twofold. First, it aims to highlight the main factors and items affecting the productivity of construction projects, based on the perceptions of CEOs in construction companies in Iran. Second, the study compares the elicited CEOs’ perceptions against the findings of studies based on the views of such as project managers, middle managers and employees in other levels. Design/methodology/approach – The study drew upon literature on construction work to develop a conceptual model. Further, a total of 60 CEOs from road construction companies were surveyed using a five-point Likert scale questionnaire to generate the data. The collated data were categorised and ranked according to the CEOs perceived level of importance using the relative importance index. Findings – The findings highlight the main factors and items affecting labour productivity in construction projects in Iran as perceived by CEOs, which are mainly of human resources management nature and could be attributed to motivation and managerial policy aspects. The study also recognises that factors associated with the working environment particularly safety and health are perceived as insignificant by Iranian CEOs which could be a concern for the Iranian construction industry. The discussions shed some light on the discrepancies between the perceptions of CEOs and previous studies in regards to major determinants of productivity in the construction context. Originality/value – This study is the first study aiming at discussing the perceptions of CEOs of construction companies active in construction projects in Iran. As such, the study highlights the standpoint of the main decision makers in construction companies in regards to labour productivity in the construction sector. Thus, the key contribution of the present study is providing insight into the perceptions of CEOs, who play the most vital role in strategic development of construction companies whereas previous studies have mostly focused on project or middle managers having a lower influence in determining the strategic plans of companies.

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The aim of this study is to apply a recently proposed model of motivation based on expectancy theory to site-based workers in construction and confirm the validity of this model for the construction industry. The study drew upon data from 194 site-based construction workers in Iran to test the proposed model of motivation. To this end, the structural equation modelling (SEM) approach based on the confirmatory factor analysis (CFA) technique was deployed. The study reveals that the proposed model of expectancy theory incorporating five indicators (i.e. intrinsic instrumentality, extrinsic instrumentality, intrinsic valence, extrinsic valence and expectancy) is able to map the process of construction workers' motivation. Nonetheless, the findings posit that intrinsic indicators could be more effective than extrinsic ones. This proffers the necessity of construction managers placing further focus on intrinsic motivators to motivate workers.