Exploring the Cyber Technology Critical Success Factors for Sustainable Building Projects:

dc.contributor.authorTunji-Olayeni, Patience
dc.contributor.authorOke, Ayodeji Emmanuel
dc.contributor.authorKineber, Ahmed Farouk
dc.contributor.authorEkundayo, Damilola
dc.contributor.authorEdwards, David J.
dc.date.accessioned2026-05-27T16:57:28Z
dc.date.issued2022
dc.description.abstractWe sought to identify and examine the critical success factors (CSFs) necessary for incor porating cyber technology into residential building projects to augment operational performance and sustainability. An iterative two-stage approach was adopted to explore the phenomena under investigation. General CSFs for cyber technology were first identified from the extant literature, and subsequently explored using primary questionnaire survey data accrued from professionals within the Nigerian building industry. The survey results illustrated that the availability of sensors, good communication networks, mobile devices, and device layers and the creation of workable virtual modes are the main critical success factors for adopting cyber technology. Moreover, Gini’s mean difference measure of dispersion showed that the success factor in stationary cyber technology adoption is government support. The study’s findings guide building industry stakeholders to embrace cyber technology to improve cost and sustainability performance in the Nigerian building industry. Due to the originality of the findings of this study, a strong basis is provided for critically evaluating and analyzing the many vital aspects of cyber technology success.
dc.identifier.issndoi.org/10.3390/ su142214998
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/50864
dc.publisherMDPI, Basel, Switzerland
dc.subjectcyber technology
dc.subjectsustainability
dc.subjectsustainable development
dc.subjectbuilding projects
dc.subjectproject success
dc.titleExploring the Cyber Technology Critical Success Factors for Sustainable Building Projects:
dc.title.alternativeA Stationary Analysis Approach
dc.typeArticle

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