Safe Working Cycle: Is It a Panacea to Combat Construction Site Safety Accidents in Hong Kong?

Ikuabe²,

Aliu³

et al. 2022

Purpose This paper aims to assess the behavioural intention of construction organisations to use unmanned aerial vehicles (UAVs) in the delivery of construction projects. Using the unified theory of technology adoption and use of technology (UTAUT) model, the study strives to improve project delivery by adopting beneficial digital technologies. Design/methodology/approach The study adopted a postpositivism philosophical stance through a quantitative research approach using a structured questionnaire administered to construction organisations in South Africa. Primary data gathered was analysed using frequency, percentage, mean item score, Mann–Whitney U-test and confirmatory factor analysis, where the latter sought to deductively confirm the variables within the UTAUT model. Findings Construction organisations were found to rarely use UAVs in the country and furthermore, most of the participating organisations are unsure about using UAVs for their project delivery. Factors impacting on an organisation’s intention to use UAVs were identified as social influence, performance expectancy, effort expectancy and facilitating conditions. However, factors surrounding resistance to using and perceived risk cannot be overlooked as they also proved to be significant (at p = 0.05) to the behavioural intention of organisations to use UAVs. Practical implications Practical guidance for industry practitioners is offered in terms of insight into the key factors that must be considered for the effective utilisation of UAVs and the realisation of concomitant benefits. Originality/value This study bridges the knowledge gap in extant literature by exploring the practitioner’s behavioural intention to use UAVs. As an aside, an emergent theoretical backdrop for future works on UAVs is provided (particularly in developing countries where such a study has not been previously explored).

Section: Methodsmentioning

confidence: 99%

Empirical scrutiny of the behavioural intention of construction organisations to use unmanned aerial vehicles

Ikuabe²,

Aliu³

et al. 2022

“…However, it has been noted that as long as the communalities value are high, less emphasis is needed on the sample size of the study (Tabachnick and Fidell, 2007). As a result, studies with less than 150 samples using EFA have emerged (Chan and Aghimien, 2022; Aghimien et al ., 2021). The communalities derived for this study are above 0.50, with a maximum of 0.916, a minimum of 0.558.…”

Section: Resultsmentioning

confidence: 99%

Building information modelling adoption for construction waste reduction in the construction industry of a developing country

Eze

Aigbavboa

et al. 2022

ECAM

PurposeThis paper aims to present the result of an assessment of the potential effect of building information modelling (BIM) adoption on the reduction of construction waste (CW) from a developing country's perspective. This was done with a view to reducing the waste generated in construction projects particularly at the design and pre-contract stages.Design/methodology/approachThe study adopted a post-positivism philosophical approach, which informed the use of a quantitative research design and a questionnaire as instrument for data collection. The data gathered from construction professionals in the Nigeria construction industry were analysed using an array of statistical tools such as frequency, percentage, Kruskal–Wallis H-test, Kendall's coefficient of concordance, chi-square and exploratory factors analysis.FindingsThe study revealed five major groups of factors causing CW at the design and pre-contract stages that can be avoided or minimised through BIM implementation. These are; (1) errors in design and documentation, (2) specification and quality factors, (3) estimating and site condition factors, (4) planning of work factors and (5) procurement related factors.Practical implicationsThe findings of the study offer practical insight for industry participants on the need for BIM implementation to reduce CW by identifying the diverse areas responsible for these waste generation.Originality/valueWhile there has been significant literature on BIM implementation, contributions on the effect of this technology in reducing waste generation particular at the design and pre-contract stages in developing countries has been almost non-existent. This study strives to fill in this gap by showcasing the major waste generating activities that can be avoided through the use of BIM.

“…The snowball approach, which is referral based (Heckathorn, 2011), assisted in reaching a significant number of professionals around the country. This sampling method has gained significant attention in recent construction-related studies (Aghimien et al , 2020; Aliu and Aigbavboa, 2021; Chan and Aghimien, 2022; Chan et al , 2017; Rahman, 2014). At the end of the survey, responses were retrieved from 222 construction professionals representing a response rate of 40.5% of the designed sample size.…”

Section: Methodsmentioning

confidence: 99%

Delineating the people-related features required for construction digitalisation

Aigbavboa

Oke

et al. 2022

Purpose Digitalisation, which involves the use of digital technologies in transforming an organisation’s activities, transcends just the acquiring of emerging digital tools. Having the right people to drive the implementation of these technologies and attaining strategic organisational goals is essential. While most studies have focused on the use of emerging technologies in the construction industry, less attention has been given to the ‘people’ dimension. Therefore, this study aims to assess the people-related features needed for construction digitalisation. Design/methodology/approach The study adopted pragmatic thinking using a mixed-method approach. A Delphi was used to achieve the qualitative aspect of the research, while a questionnaire survey conducted among 222 construction professionals was used to achieve the quantitative aspect. The data gathered were analysed using frequency, percentage, mean item score, Kruskal–Wallis H test, exploratory factor analysis and confirmatory factor analysis. Findings Based on acceptable reliability, validity and model fit indices, the study found that the people-related factors needed for construction digitalisation can be grouped into technical capability of personnel, attracting and retaining digital talent and organisation’s digital culture. Practical implications The findings offer valuable benefits to construction organisations as understanding these identified people features can help lead to better deployment of digital tools and the attainment of the digital transformation. Originality/value This study attempts to fill the gap in the shortage of literature exploring the people dimension of construction digitalisation. The study offers an excellent theoretical backdrop for future works on digital talent for construction digitalisation, which has gained less attention in the current construction digitalisation discourse.