Robotics and automation for sustainable construction: microscoping the barriers to implementation

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Smart and Sustainable Built Environment Pub Date : 2023-04-14 DOI:10.1108/sasbe-12-2022-0275
{"title":"Robotics and automation for sustainable construction: microscoping the barriers to implementation","authors":"","doi":"10.1108/sasbe-12-2022-0275","DOIUrl":null,"url":null,"abstract":"PurposeThis study presents the results of an assessment of the barriers that can hinder the deployment of robotics and automation systems in developing countries through the lens of the Nigerian construction industry.Design/methodology/approachA scoping literature review was conducted through which barriers to the adoption of robotics and automation systems were identified, which helped in the formulation of a questionnaire survey. Data were obtained from construction professionals including architects, builders, engineers and quantity surveyors. Retrieved data were analyzed using percentages, frequencies, mean item scores and exploratory factor analysis.FindingsBased on the mean scores, the top five barriers were the fragmented nature of the construction process, resistance by workers and unions, hesitation to adopt innovation, lack of capacity and expertise and lack of support from top-level managers. Through factor analysis, the barriers identified were categorized into four principal clusters namely, industry, human, economic and technical-related barriers.Practical implicationsThis study provided a good theoretical and empirical foundation that can be useful to construction industry stakeholders, decision-makers, policymakers and the government in mapping out strategies to promote the incorporation and deployment of automation and robotics into the construction industry to attain the safety benefits they offer.Originality/valueBy identifying and evaluating the challenges that hinder the implementation of robotics and automation systems in the Nigerian construction industry, this study makes a significant contribution to knowledge in an area where limited studies exist.","PeriodicalId":45779,"journal":{"name":"Smart and Sustainable Built Environment","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart and Sustainable Built Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/sasbe-12-2022-0275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 2

Abstract

PurposeThis study presents the results of an assessment of the barriers that can hinder the deployment of robotics and automation systems in developing countries through the lens of the Nigerian construction industry.Design/methodology/approachA scoping literature review was conducted through which barriers to the adoption of robotics and automation systems were identified, which helped in the formulation of a questionnaire survey. Data were obtained from construction professionals including architects, builders, engineers and quantity surveyors. Retrieved data were analyzed using percentages, frequencies, mean item scores and exploratory factor analysis.FindingsBased on the mean scores, the top five barriers were the fragmented nature of the construction process, resistance by workers and unions, hesitation to adopt innovation, lack of capacity and expertise and lack of support from top-level managers. Through factor analysis, the barriers identified were categorized into four principal clusters namely, industry, human, economic and technical-related barriers.Practical implicationsThis study provided a good theoretical and empirical foundation that can be useful to construction industry stakeholders, decision-makers, policymakers and the government in mapping out strategies to promote the incorporation and deployment of automation and robotics into the construction industry to attain the safety benefits they offer.Originality/valueBy identifying and evaluating the challenges that hinder the implementation of robotics and automation systems in the Nigerian construction industry, this study makes a significant contribution to knowledge in an area where limited studies exist.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
可持续建筑的机器人和自动化:观察实施的障碍
本研究通过尼日利亚建筑行业的视角,提出了对发展中国家机器人和自动化系统部署障碍的评估结果。设计/方法/方法进行了范围界定文献综述,通过这些文献综述确定了采用机器人和自动化系统的障碍,这有助于制定问卷调查。数据来自建筑专业人士,包括建筑师、建造商、工程师和工料测量师。检索数据采用百分比、频率、平均项目得分和探索性因子分析进行分析。根据平均得分,前五大障碍是建设过程的碎片化、工人和工会的抵制、采用创新的犹豫、缺乏能力和专业知识以及缺乏高层管理人员的支持。通过因子分析,将壁垒划分为产业壁垒、人力壁垒、经济壁垒和技术壁垒四大类。实际意义本研究提供了良好的理论和实证基础,可为建造业利益相关者、决策者、政策制定者和政府制定策略,促进自动化和机器人技术在建造业的纳入和部署,以实现它们所带来的安全效益。独创性/价值通过识别和评估阻碍机器人和自动化系统在尼日利亚建筑行业实施的挑战,本研究对研究有限的领域的知识做出了重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
期刊最新文献
Smart personal protective equipment for intelligent construction safety monitoring The smart city conundrum: technology, privacy, and the quest for convenience An exploratory study on the benefits of transit orientated development (TOD) to rail infrastructure projects Augmenting the cities’ and metropolitan regional demands for mega rail infrastructure: the application of SWOT and factor analysis Development of an ontology-based asset information model for predictive maintenance in building facilities
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1