Abstract
The construction industry has been producing massive data that can be transformed for improved decision-making and better construction project delivery. However, the industry has been adjudged as a slow adopter of digital technologies such as big data analytics (BDA) to improve its service delivery. The implication of this slow adoption is the lack of innovativeness and unsustainable project delivery that has characterised the industry in most countries, particularly in developing ones like South Africa. Therefore, this study assessed the intention to adopt BDA by construction organisations using the unified theory of technology adoption and use of technology (UTAUT) model. A post-positivism philosophical stance was employed, which informed the use of quantitative research with a questionnaire designed to solicit information from construction organisations in South Africa. Data analysis was done using Cronbach alpha to test for reliability and Fuzzy Synthetic Evaluation to evaluate the impact of the different constructs of the UTAUT on the adoption of BDA by construction organisations in South Africa. The study found that variables relating to facilitating conditions, performance expectancy, and social influence will significantly impact an organisation’s intention to adopt BDA. However, issues surrounding effort expectancy, resistance to use, and perceived risk cannot be overlooked as they also have high impact levels. The study provides an excellent theoretical and practical contribution to the existing discourse on construction digitalisation.
Highlights
The development of the construction industry has been described as a process that is well planned and managed to improve the industry’s capacity and effectiveness to ensure that the high demand for construction products is met and to maintain the industry’s contribution to socio-e conomic development (Ofori, 2000)
The respondents’ background information revealed 60% of the respondents were from contracting organisations, while general and specialist sub-contractors accounted for 20.9% and 19.1% respectively
By adopting the UTAUT, the study concludes that the intention to use big data analytics (BDA) in construction organisations is impacted significantly by the facilitation conditions available within the organisation, the organisation’s performance expectations, and the societal influence
Summary
The development of the construction industry has been described as a process that is well planned and managed to improve the industry’s capacity and effectiveness to ensure that the high demand for construction products is met and to maintain the industry’s contribution to socio-e conomic development (Ofori, 2000). Studies showcasing the importance of adopting these digital technologies in the discharge of construction services and the industry’s development has continued to emerge in recent times (Hager, Golonka, and Putanowicz, 2016; Sakin and Kiroglu, 2017; Aghimien, et al, 2018; Delgado, et al, 2019). One such technology that has gained significant attention among researchers and practitioners is Big Data Analytics (BDA). Construction organisations must make good use of valuable information that exists in the rapidly changing data environment
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