{"title":"尼日利亚 AECO 行业采用建筑信息模型（BIM）进行施工后管理的驱动因素","authors":"Abdulkabir Opeyemi Bello, Calistus Ayegba","doi":"10.1108/jfmpc-10-2023-0067","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This study aims to investigate the drivers influencing the adoption of building information modelling (BIM) for post-construction management in the architecture, engineering, construction and operations (AECO) industry, specifically focusing on International Facility Management Association (IFMA) registered professionals in Abuja, Nigeria.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>A quantitative approach was employed, using a purposive sampling technique. In total, 132 valid responses were analysed using statistical tools such as Cronbach’s alpha, mean, one sample t-test, Kruskal–Wallis, factor and correction analysis.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Result shows that flexibility among industry stakeholders towards adopting new technology and safety/emergency management are the most critical drivers. All the identified drivers were significant (<em>p</em> < 0.05). Kruskal–Wallis’s analysis shows that professionals have similar opinions on the BIM drivers. Factor analysis categorises the drivers into seven components: availability and usage of software, increased efficiency, improved performance, safety and resources, change in method of operation, improved profitability and government intervention. Positive correlations connect BIM software availability with efficiency, performance, safety, resource management, operational changes, profitability and government support.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>One limitation of this study is the focus on a specific group of professionals in Abuja, which may limit the generalisability of findings to the broader Nigerian AECO industry. Future research should consider a more diverse sample. In addition, qualitative research methods could provide deeper insights into the qualitative aspects of BIM adoption.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This research contributes to the existing body of knowledge by providing empirical evidence of the drivers influencing BIM adoption in the post-construction phase, particularly in Nigeria.</p><!--/ Abstract__block -->","PeriodicalId":45720,"journal":{"name":"Journal of Financial Management of Property and Construction","volume":"43 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Drivers for the adoption of building information modelling (BIM) for post-construction management in the Nigerian AECO industry\",\"authors\":\"Abdulkabir Opeyemi Bello, Calistus Ayegba\",\"doi\":\"10.1108/jfmpc-10-2023-0067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>This study aims to investigate the drivers influencing the adoption of building information modelling (BIM) for post-construction management in the architecture, engineering, construction and operations (AECO) industry, specifically focusing on International Facility Management Association (IFMA) registered professionals in Abuja, Nigeria.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>A quantitative approach was employed, using a purposive sampling technique. In total, 132 valid responses were analysed using statistical tools such as Cronbach’s alpha, mean, one sample t-test, Kruskal–Wallis, factor and correction analysis.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>Result shows that flexibility among industry stakeholders towards adopting new technology and safety/emergency management are the most critical drivers. All the identified drivers were significant (<em>p</em> < 0.05). Kruskal–Wallis’s analysis shows that professionals have similar opinions on the BIM drivers. Factor analysis categorises the drivers into seven components: availability and usage of software, increased efficiency, improved performance, safety and resources, change in method of operation, improved profitability and government intervention. Positive correlations connect BIM software availability with efficiency, performance, safety, resource management, operational changes, profitability and government support.</p><!--/ Abstract__block -->\\n<h3>Research limitations/implications</h3>\\n<p>One limitation of this study is the focus on a specific group of professionals in Abuja, which may limit the generalisability of findings to the broader Nigerian AECO industry. Future research should consider a more diverse sample. In addition, qualitative research methods could provide deeper insights into the qualitative aspects of BIM adoption.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>This research contributes to the existing body of knowledge by providing empirical evidence of the drivers influencing BIM adoption in the post-construction phase, particularly in Nigeria.</p><!--/ Abstract__block -->\",\"PeriodicalId\":45720,\"journal\":{\"name\":\"Journal of Financial Management of Property and Construction\",\"volume\":\"43 1\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2024-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Financial Management of Property and Construction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jfmpc-10-2023-0067\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Management of Property and Construction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jfmpc-10-2023-0067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Drivers for the adoption of building information modelling (BIM) for post-construction management in the Nigerian AECO industry
Purpose
This study aims to investigate the drivers influencing the adoption of building information modelling (BIM) for post-construction management in the architecture, engineering, construction and operations (AECO) industry, specifically focusing on International Facility Management Association (IFMA) registered professionals in Abuja, Nigeria.
Design/methodology/approach
A quantitative approach was employed, using a purposive sampling technique. In total, 132 valid responses were analysed using statistical tools such as Cronbach’s alpha, mean, one sample t-test, Kruskal–Wallis, factor and correction analysis.
Findings
Result shows that flexibility among industry stakeholders towards adopting new technology and safety/emergency management are the most critical drivers. All the identified drivers were significant (p < 0.05). Kruskal–Wallis’s analysis shows that professionals have similar opinions on the BIM drivers. Factor analysis categorises the drivers into seven components: availability and usage of software, increased efficiency, improved performance, safety and resources, change in method of operation, improved profitability and government intervention. Positive correlations connect BIM software availability with efficiency, performance, safety, resource management, operational changes, profitability and government support.
Research limitations/implications
One limitation of this study is the focus on a specific group of professionals in Abuja, which may limit the generalisability of findings to the broader Nigerian AECO industry. Future research should consider a more diverse sample. In addition, qualitative research methods could provide deeper insights into the qualitative aspects of BIM adoption.
Originality/value
This research contributes to the existing body of knowledge by providing empirical evidence of the drivers influencing BIM adoption in the post-construction phase, particularly in Nigeria.
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