Big data application and analyses in construction project delivery in Oyo state, Nigeria
| dc.contributor.author | Adeyeri, Oluwayomi Oyeyimika | |
| dc.date.accessioned | 2025-06-04T12:35:07Z | |
| dc.date.available | 2025-06-04T12:35:07Z | |
| dc.date.issued | 2024-04 | |
| dc.description | A Master's thesis on Big data application and analyses in construction project delivery. it contains tables, graphs, charts and mathematical equations. | |
| dc.description.abstract | This study aimed at big data application and analyses in construction project delivery in Oyo state, Nigeria. The study was inspire by the need to employ application and analyses of big data in the construction project delivery. The study also identified the big data application influencing construction project delivery, evaluated and established the determinants and the extent of deployment of big data application in construction project delivery in construction industry in Nigeria. Factor analysis and descriptive survey design were used for this research study to obtain data through sample selection and analysis. One hundred and fifty (150) copies of questionnaires were administered to the construction industry in Oyo state through the random sampling technique, a total of one hundred and twenty-four (124) copies of questionnaires were properly retrieved and adequately completed which represent a feedback ratio of 82%. Factor analysis was used for the analysis of the data, descriptive analysis was also used. This study is backed up with the following theories viz; schumpeter theory of innovation and big data, dynamic capabilities(DC) and big data, diffusion of innovation theory and resource based theory. The findings from this study revealed that effect of big data on project performance, Availability of big data technology, Accessibility of big data facilities and power, effectiveness and efficiency of big data are significant determinants of big data analytics in construction industry. The findings also demonstrated the significant methods of big data deployment which encourage construction industry to adopt these approaches as they motivate construction industry towards achieving the goals of the industry. The study recommends that construction industry should start with data that is already available in the enterprises, start with customer-centric outcomes, develop business case based on measurable outcomes and identify business priorities and build the strategy on that as they are crucial in ensuring the achievement of the construction industry. | |
| dc.identifier.citation | Adeyeri, O .O .(2024). Big data application and analyses in construction project delivery in Oyo state, Nigeria. (Unpublished Master's Thesis), Federal University of Technology, Owerri, NigeriaOwerri | |
| dc.identifier.uri | https://repository.futo.edu.ng/handle/20.500.14562/1984 | |
| dc.language.iso | en | |
| dc.publisher | Federal University of Technology, Owerri | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Data application | |
| dc.subject | determinats | |
| dc.subject | construction | |
| dc.subject | factor analysis | |
| dc.subject | diffusion | |
| dc.subject | big data | |
| dc.subject | Department of Project Management Technology | |
| dc.title | Big data application and analyses in construction project delivery in Oyo state, Nigeria | |
| dc.type | Master’s Thesis |