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Data Management Risks: A Bane of Construction Project Performance

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Listed:
  • Ornella Tanga

    (cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa)

  • Opeoluwa Akinradewo

    (cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa)

  • Clinton Aigbavboa

    (cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa)

  • Ayodeji Oke

    (cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa
    Department of Quantity Surveying, School of Environmental Technology, Federal University of Technology, Akure 340271, Nigeria)

  • Samuel Adekunle

    (cidb Centre of Excellence, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa)

Abstract

The construction industry is a sector that creates employment opportunities for everybody from all backgrounds. A good performance achieved through managing data is one factor that enables the construction industry’s success and development. Unfortunately, data management encounters challenges regarding data safety, due to the implementation of the fourth industrial revolution (4IR) (digitalisation). This study sets out to evaluate the effects of risks to data management on the performance of construction projects. This research work used a quantitative methodology and gathered information from different construction professionals in the South African construction industry via a well-structured questionnaire through online platforms. These professionals were quantity surveyors, architects, civil, mechanical, and electrical engineers practising for a firm, company, organization, or institution within Gauteng province, South Africa. A random sampling technique was used in this research to ensure that each part and set of individuals had an equivalent possibility of being incorporated into the sample. Of 215 questionnaires sent out, 181 (84.19%) responses were received and used for data analysis. Mean item score (MIS), standard deviation (SD), a non-parametric test, and exploratory factor analysis were used to analyse the retrieved data. Findings revealed that loss of construction project data, loss of confidential information, company image and reputational harm are among the top three effects that risks to data have on people working in the construction sector. This study concluded that these data management risk effects could be prevented if construction project stakeholders were aware of the different data management risks.

Suggested Citation

  • Ornella Tanga & Opeoluwa Akinradewo & Clinton Aigbavboa & Ayodeji Oke & Samuel Adekunle, 2022. "Data Management Risks: A Bane of Construction Project Performance," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12793-:d:935700
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    References listed on IDEAS

    as
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    2. Savica Dimitrieska & Aleksandra Stankovska & Tanja Efremova, 2018. "The Fourth Industrial Revolution €“ Advantages And Disadvantages," Economics and Management, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 14(2), pages 182-187.
    3. Tatiana Grigorievna Bondarenko & Ekaterina Anatolievna Isaeva & Sergey Aleksandrovich Orekhov & Anzor Uvaysovich Soltakhanov, 2017. "Optimization of the Company Strategic Management System in the Context of Economic Instability," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 3-24.
    4. Elijah Frimpong Boadu & Cynthia Changxin Wang & Riza Yosia Sunindijo, 2020. "Characteristics of the Construction Industry in Developing Countries and Its Implications for Health and Safety: An Exploratory Study in Ghana," IJERPH, MDPI, vol. 17(11), pages 1-20, June.
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