Mapping site-based construction workers’ motivation: Expectancy theory approach

The aim of this study is to apply a recently proposed model of motivation based on expectancy theory to site-based workers in the construction context 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.

Where the Gaps Lie: Ten Years of Research into Collaboration on BIM-Enabled Construction Projects

A BIM-enabled Construction Project (BIMCP) refers to a project involving relevant BIM tools to generate, exchange and manage project data between project participants. Success in delivering BIMCPs largely relies on how effective project members collaborate. As a result, collaboration on BIMCP has become a growing field of research while a review of studies on collaboration on BIMCPs is still missing. To address this gap, this paper presents the findings of a systematic review on studies devoted to collaboration on BIMCPs over the past 10 years (2006-2016). To this end, 208 studies published in 12 ICT-oriented journals in the construction context are thoroughly reviewed. The findings bring to light that studies on collaboration on BIMCPs are sporadic, isolated and focus on narrowed, limited and disjointed areas associated with collaboration. The study contributes to the field through highlighting the gaps of the existing literature on the topic. This provides a stepping stone to direct future inquiries that target collaboration on BIMCPs

Towards enhancement in reliability and safety of construction projects: developing a hybrid multi-dimensional fuzzy-based approach

PurposeIn the study, a five-dimensional-safety risk assessment model (5D-SRAM) is developed to improve the construction safety risk assessment approaches available in the literature. To that purpose, a hybrid multi-dimensional fuzzy-based model is proposed, which provides a comprehensive ranking system for the safety risks existing in a project by considering the contextualization of the construction-related activities resulting in an accident.Design/methodology/approachThe developed 5D-SRAM is based on an amalgamation of different fuzzy-based techniques. Through the proposed fuzzy analytic hierarchy process (AHP) method, the importance weights of essential risk dimensions playing role in defining the magnitude of the construction-related risks are obtained, while a precise prioritized ranking system for the identified safety risks is acquired using the proposed fuzzy technique of order preference similarity to the ideal solution (FTOPSIS).FindingsThrough the application of the proposed 5D-SRAM to a real-life case study – which is the case of green building construction projects located in Hong Kong – contributions are realized as follows: (1) determination of a more complete range of risk dimensions, (2) calculation of importance weightings for each risk dimension and (3) obtainment of a precise and inclusive ranking system for safety risks. Additionally, the supremacy of the developed 5D-SRAM against the other safety assessment approaches that are commonly adopted in the construction industry is proved.Research limitations/implicationsThe developed 5D-SRAM provides the concerned safety decision-makers with not only all the crucial dimensions that play roles toward the magnitude of safety risks posing threats to the workers involved in construction activities, but also they are given hindsight regarding the importance weights of these dimensions. Additionally, the concerned parties are embellished with the final ranking of safety risks in a more comprehensive way than those of existing assessment methods, leading to sagacious adoption of future prudent strategies for dealing with such risks occurring on construction sites.Originality/valueNumerous studies have documented the safety risks faced by construction workers including proposals for risk assessment models. However, the dimensions considered by such models are limited, generally constrained to risk event probability combined with risk impact severity. Overlooking other dimensions that are essential towards the calculation of safety risks\u27 magnitude culminates in overshadowing the further adoption of fruitful mitigative actions. To overcome this shortcoming, this study proposes a novel 5D-SRAM.</jats:sec