Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa

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...

Full description

Bibliographic Details
Main Authors: Douglas Omoregie Aghimien, Matthew Ikuabe, Clinton Aigbavboa, Ayodeji Oke, Wealthy Shirinda
Format: Article
Language:English
Published: UTS ePRESS 2021-08-01
Series:Construction Economics and Building
Subjects:
Online Access:https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/7634
id doaj-973dd94de9b84d2b83e8303e7723ca81
record_format Article
spelling doaj-973dd94de9b84d2b83e8303e7723ca812021-09-10T04:58:50ZengUTS ePRESSConstruction Economics and Building2204-90292021-08-0121310.5130/AJCEB.v21i3.7634Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa Douglas Omoregie Aghimien0Matthew Ikuabe1Clinton Aigbavboa2Ayodeji Oke3Wealthy Shirinda4cidb Centre of Excellence, University of Johannesburg, Johannesburg, South AfricaSARChl in Sustainable Construction Management and Leadership in the Built Environment, University of Johannesburg, Johannesburg, South Africacidb Centre of Excellence, University of Johannesburg, Johannesburg, South AfricaSARChl in Sustainable Construction Management and Leadership in the Built Environment, University of Johannesburg, Johannesburg, South AfricaSARChl in Sustainable Construction Management and Leadership in the Built Environment, University of Johannesburg, Johannesburg, South Africa 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. https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/7634Big Data AnalyticsConstruction organisationDigitalisationDigital technology
collection DOAJ
language English
format Article
sources DOAJ
author Douglas Omoregie Aghimien
Matthew Ikuabe
Clinton Aigbavboa
Ayodeji Oke
Wealthy Shirinda
spellingShingle Douglas Omoregie Aghimien
Matthew Ikuabe
Clinton Aigbavboa
Ayodeji Oke
Wealthy Shirinda
Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa
Construction Economics and Building
Big Data Analytics
Construction organisation
Digitalisation
Digital technology
author_facet Douglas Omoregie Aghimien
Matthew Ikuabe
Clinton Aigbavboa
Ayodeji Oke
Wealthy Shirinda
author_sort Douglas Omoregie Aghimien
title Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa
title_short Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa
title_full Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa
title_fullStr Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa
title_full_unstemmed Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa
title_sort unravelling the factors influencing construction organisations’ intention to adopt big data analytics in south africa
publisher UTS ePRESS
series Construction Economics and Building
issn 2204-9029
publishDate 2021-08-01
description 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.
topic Big Data Analytics
Construction organisation
Digitalisation
Digital technology
url https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/7634
work_keys_str_mv AT douglasomoregieaghimien unravellingthefactorsinfluencingconstructionorganisationsintentiontoadoptbigdataanalyticsinsouthafrica
AT matthewikuabe unravellingthefactorsinfluencingconstructionorganisationsintentiontoadoptbigdataanalyticsinsouthafrica
AT clintonaigbavboa unravellingthefactorsinfluencingconstructionorganisationsintentiontoadoptbigdataanalyticsinsouthafrica
AT ayodejioke unravellingthefactorsinfluencingconstructionorganisationsintentiontoadoptbigdataanalyticsinsouthafrica
AT wealthyshirinda unravellingthefactorsinfluencingconstructionorganisationsintentiontoadoptbigdataanalyticsinsouthafrica
_version_ 1717758752543735808