Purpose This study aims to develop a taxonomy of requirements for mobile BIM technologies (MBT), clarify the relating terms and concepts, and identify the interactions between MBT features and the construction management functions on sites. Design/methodology/approach A positivist approach with elements of interpretivism is adopted to allow to capture what is perceived as “reality” in relation to individuals’ interpretation and experience in the use and implementation of MBT. This is achieved by using a mixed qualitative-quantitative approach that can capture the various understandings of MBT. The research methods included a longitudinal case study over 12 months, two project workshops, expert interviews and an industry survey that together helped to investigate MBT at project, enterprise and industry levels. Findings The MBT requirements taxonomy included requirements relating to both project and organisation. Project requirements addressed MBT functionalities for sites and information management, while organisation requirements focused on the integration of MBT solutions with the enterprise from information technology, legal and security perspectives. A detailed matrix showing the interactions between five key MBT features and seven construction management functions was also developed. Research limitations/implications The two constructs developed by this study can help researchers to structure their investigation of key uses of MBT applications and their benefits. It can be used by researchers aiming to investigate integrated approaches to the digitalisation of construction sites, such as those enabled by Digital Twins. The interaction matrix can aid researchers in evaluating the intersections between the MBT functionalities and the site construction management functions (e.g. theoretical analysis of interactions from Lean Construction, benefit evaluation perspective). More broadly, the two constructs can support research and practice investigating the development of data-driven approaches on construction sites. Practical implications The developed MBT taxonomy can guide construction organisations in selecting suitable MBT for Field BIM for their projects. It can also act as a baseline against which varying MBT solutions can be compared. Originality/value Constructs such as taxonomies for MBTs; an understanding of MBT capabilities and use within the industry; and a lack of delineation between related terms, such as Mobile BIM, Field BIM, Site BIM, Cloud BIM and Mobile Apps, were lacking in the literature. This study contributed to addressing this gap.
本研究旨在制定移动BIM技术(MBT)的需求分类，澄清相关术语和概念，并确定MBT特征与现场施工管理功能之间的相互作用。设计/方法论/方法采用了带有解释主义元素的实证主义方法，以便捕捉到与个人在使用和实施MBT中的解释和经验相关的“现实”。这是通过使用混合的定性-定量方法来实现的，这种方法可以捕获对MBT的各种理解。研究方法包括为期12个月的纵向案例研究、两次项目研讨会、专家访谈和行业调查，这些都有助于在项目、企业和行业层面调查MBT。发现MBT需求分类法包括与项目和组织相关的需求。项目需求解决了站点和信息管理的MBT功能，而组织需求侧重于从信息技术、法律和安全角度将MBT解决方案与企业集成。还开发了一个详细的矩阵，显示了五个关键MBT特征和七个施工管理功能之间的相互作用。本研究提出的两种结构可以帮助研究人员对MBT应用的关键用途及其益处进行结构化研究。研究人员可以使用它来研究建筑工地数字化的综合方法，例如由Digital Twins实现的方法。交互矩阵可以帮助研究者评价MBT功能与现场建设管理功能之间的交互关系(如从精益建设角度对交互关系进行理论分析、效益评价等)。更广泛地说，这两种结构可以支持研究和实践，调查建筑工地数据驱动方法的发展。实际意义开发的MBT分类法可以指导建筑组织为其项目选择适合的MBT进行现场BIM。它还可以作为比较不同MBT解决方案的基准。原创性/价值结构，如mbt的分类;了解MBT的功能和行业内的使用情况;文献中缺乏对相关术语的描述，如Mobile BIM, Field BIM, Site BIM, Cloud BIM和Mobile Apps。这项研究有助于解决这一差距。
{"title":"Field BIM and mobile BIM technologies: a requirements taxonomy and its interactions with construction management functions","authors":"Benjamin Jowett, D. J. Edwards, M. Kassem","doi":"10.1108/ci-07-2022-0160","DOIUrl":"https://doi.org/10.1108/ci-07-2022-0160","url":null,"abstract":"\u0000Purpose\u0000This study aims to develop a taxonomy of requirements for mobile BIM technologies (MBT), clarify the relating terms and concepts, and identify the interactions between MBT features and the construction management functions on sites.\u0000\u0000\u0000Design/methodology/approach\u0000A positivist approach with elements of interpretivism is adopted to allow to capture what is perceived as “reality” in relation to individuals’ interpretation and experience in the use and implementation of MBT. This is achieved by using a mixed qualitative-quantitative approach that can capture the various understandings of MBT. The research methods included a longitudinal case study over 12 months, two project workshops, expert interviews and an industry survey that together helped to investigate MBT at project, enterprise and industry levels.\u0000\u0000\u0000Findings\u0000The MBT requirements taxonomy included requirements relating to both project and organisation. Project requirements addressed MBT functionalities for sites and information management, while organisation requirements focused on the integration of MBT solutions with the enterprise from information technology, legal and security perspectives. A detailed matrix showing the interactions between five key MBT features and seven construction management functions was also developed.\u0000\u0000\u0000Research limitations/implications\u0000The two constructs developed by this study can help researchers to structure their investigation of key uses of MBT applications and their benefits. It can be used by researchers aiming to investigate integrated approaches to the digitalisation of construction sites, such as those enabled by Digital Twins. The interaction matrix can aid researchers in evaluating the intersections between the MBT functionalities and the site construction management functions (e.g. theoretical analysis of interactions from Lean Construction, benefit evaluation perspective). More broadly, the two constructs can support research and practice investigating the development of data-driven approaches on construction sites.\u0000\u0000\u0000Practical implications\u0000The developed MBT taxonomy can guide construction organisations in selecting suitable MBT for Field BIM for their projects. It can also act as a baseline against which varying MBT solutions can be compared.\u0000\u0000\u0000Originality/value\u0000Constructs such as taxonomies for MBTs; an understanding of MBT capabilities and use within the industry; and a lack of delineation between related terms, such as Mobile BIM, Field BIM, Site BIM, Cloud BIM and Mobile Apps, were lacking in the literature. This study contributed to addressing this gap.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42601558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Elshaboury, Eslam Mohammed Abdelkader, A. Al-Sakkaf, A. Bagchi
Purpose The energy efficiency of buildings has been emphasized along with the continual development in the building and construction sector that consumes a significant amount of energy. To this end, the purpose of this research paper is to forecast energy consumption to improve energy resource planning and management. Design/methodology/approach This study proposes the application of the convolutional neural network (CNN) for estimating the electricity consumption in the Grey Nuns building in Canada. The performance of the proposed model is compared against that of long short-term memory (LSTM) and multilayer perceptron (MLP) neural networks. The models are trained and tested using monthly electricity consumption records (i.e. from May 2009 to December 2021) available from Concordia’s facility department. Statistical measures (e.g. determination coefficient [R2], root mean squared error [RMSE], mean absolute error [MAE] and mean absolute percentage error [MAPE]) are used to evaluate the outcomes of models. Findings The results reveal that the CNN model outperforms the other model predictions for 6 and 12 months ahead. It enhances the performance metrics reported by the LSTM and MLP models concerning the R2, RMSE, MAE and MAPE by more than 4%, 6%, 42% and 46%, respectively. Therefore, the proposed model uses the available data to predict the electricity consumption for 6 and 12 months ahead. In June and December 2022, the overall electricity consumption is estimated to be 195,312 kWh and 254,737 kWh, respectively. Originality/value This study discusses the development of an effective time-series model that can forecast future electricity consumption in a Canadian heritage building. Deep learning techniques are being used for the first time to anticipate the electricity consumption of the Grey Nuns building in Canada. Additionally, it evaluates the effectiveness of deep learning and machine learning methods for predicting electricity consumption using established performance indicators. Recognizing electricity consumption in buildings is beneficial for utility providers, facility managers and end users by improving energy and environmental efficiency.
{"title":"A deep convolutional neural network for predicting electricity consumption at Grey Nuns building in Canada","authors":"N. Elshaboury, Eslam Mohammed Abdelkader, A. Al-Sakkaf, A. Bagchi","doi":"10.1108/ci-01-2023-0005","DOIUrl":"https://doi.org/10.1108/ci-01-2023-0005","url":null,"abstract":"\u0000Purpose\u0000The energy efficiency of buildings has been emphasized along with the continual development in the building and construction sector that consumes a significant amount of energy. To this end, the purpose of this research paper is to forecast energy consumption to improve energy resource planning and management.\u0000\u0000\u0000Design/methodology/approach\u0000This study proposes the application of the convolutional neural network (CNN) for estimating the electricity consumption in the Grey Nuns building in Canada. The performance of the proposed model is compared against that of long short-term memory (LSTM) and multilayer perceptron (MLP) neural networks. The models are trained and tested using monthly electricity consumption records (i.e. from May 2009 to December 2021) available from Concordia’s facility department. Statistical measures (e.g. determination coefficient [R2], root mean squared error [RMSE], mean absolute error [MAE] and mean absolute percentage error [MAPE]) are used to evaluate the outcomes of models.\u0000\u0000\u0000Findings\u0000The results reveal that the CNN model outperforms the other model predictions for 6 and 12 months ahead. It enhances the performance metrics reported by the LSTM and MLP models concerning the R2, RMSE, MAE and MAPE by more than 4%, 6%, 42% and 46%, respectively. Therefore, the proposed model uses the available data to predict the electricity consumption for 6 and 12 months ahead. In June and December 2022, the overall electricity consumption is estimated to be 195,312 kWh and 254,737 kWh, respectively.\u0000\u0000\u0000Originality/value\u0000This study discusses the development of an effective time-series model that can forecast future electricity consumption in a Canadian heritage building. Deep learning techniques are being used for the first time to anticipate the electricity consumption of the Grey Nuns building in Canada. Additionally, it evaluates the effectiveness of deep learning and machine learning methods for predicting electricity consumption using established performance indicators. Recognizing electricity consumption in buildings is beneficial for utility providers, facility managers and end users by improving energy and environmental efficiency.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48087807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zihao Ye, Georgios Kapogiannis, S. Tang, Zhiang Zhang, C. Jimenez-Bescos, Tianlun Yang
Purpose Built asset management processes require a long transition period to collect, edit and update asset conditions information from existing data sets. This paper aims to explore and explain whether and how digital technologies, including asset information model (AIM), Internet of Things (IoT) and blockchain, can enhance asset conditions assessment and lead to better asset management. Design/methodology/approach Mixed methods are applied to achieve the research objective with a focus in universities. The questionnaire aims to test whether the integration of AIM, IoT and blockchain can enhance asset condition assessment (ACA). Descriptive statistical analysis was applied to the quantitative data. The mean, median, mode, standard deviation, variance, skewness and range of the data group were calculated. Semi-structured interviews were designed to answer how the integration of AIM, IoT and blockchain can enhance the ACA. Quantitative data was analysed to define and explain the essential factors for each sub-hypothesis. Meanwhile, to strengthen the evaluation of the research hypothesis, the researcher also obtained secondary data from the literature review. Findings The research shows that the integration of AIM, IoT and blockchain strongly influences asset conditions assessment. The integration of AIM, IoT and blockchain can improve the asset monitoring and diagnostics through its life cycle and in different aspects, including financial, physical, functional and sustainability. Moreover, the integration of AIM, IoT and blockchain can enhance cross-functional collaboration to avoid misunderstandings, various barriers and enhance trust, communication and collaboration between the team members. Finally, costs and risk could be reduced, and performance could be increased during the ACA. Practical implications The contribution of this study indicated that the integration of AIM, IoT and blockchain application in asset assessment could increase the efficiency, accuracy, stability and flexibility of asset assessment to ensure the reliability of assets and lead to a high-efficiency working environment. More importantly, a key performance indicator for ACA based on the asset information, technology and people experience could be developed gradually. Originality/value This study can break the gap between transdisciplinary knowledge to improve the integration of people, technology (AIM, IoT and blockchain) and process value-based ACA in built asset management within universities.
{"title":"Influence of an integrated value-based asset condition assessment in built asset management","authors":"Zihao Ye, Georgios Kapogiannis, S. Tang, Zhiang Zhang, C. Jimenez-Bescos, Tianlun Yang","doi":"10.1108/ci-11-2021-0216","DOIUrl":"https://doi.org/10.1108/ci-11-2021-0216","url":null,"abstract":"\u0000Purpose\u0000Built asset management processes require a long transition period to collect, edit and update asset conditions information from existing data sets. This paper aims to explore and explain whether and how digital technologies, including asset information model (AIM), Internet of Things (IoT) and blockchain, can enhance asset conditions assessment and lead to better asset management.\u0000\u0000\u0000Design/methodology/approach\u0000Mixed methods are applied to achieve the research objective with a focus in universities. The questionnaire aims to test whether the integration of AIM, IoT and blockchain can enhance asset condition assessment (ACA). Descriptive statistical analysis was applied to the quantitative data. The mean, median, mode, standard deviation, variance, skewness and range of the data group were calculated. Semi-structured interviews were designed to answer how the integration of AIM, IoT and blockchain can enhance the ACA. Quantitative data was analysed to define and explain the essential factors for each sub-hypothesis. Meanwhile, to strengthen the evaluation of the research hypothesis, the researcher also obtained secondary data from the literature review.\u0000\u0000\u0000Findings\u0000The research shows that the integration of AIM, IoT and blockchain strongly influences asset conditions assessment. The integration of AIM, IoT and blockchain can improve the asset monitoring and diagnostics through its life cycle and in different aspects, including financial, physical, functional and sustainability. Moreover, the integration of AIM, IoT and blockchain can enhance cross-functional collaboration to avoid misunderstandings, various barriers and enhance trust, communication and collaboration between the team members. Finally, costs and risk could be reduced, and performance could be increased during the ACA.\u0000\u0000\u0000Practical implications\u0000The contribution of this study indicated that the integration of AIM, IoT and blockchain application in asset assessment could increase the efficiency, accuracy, stability and flexibility of asset assessment to ensure the reliability of assets and lead to a high-efficiency working environment. More importantly, a key performance indicator for ACA based on the asset information, technology and people experience could be developed gradually.\u0000\u0000\u0000Originality/value\u0000This study can break the gap between transdisciplinary knowledge to improve the integration of people, technology (AIM, IoT and blockchain) and process value-based ACA in built asset management within universities.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48728514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result. Design/methodology/approach Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry. Findings The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively. Research limitations/implications Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy. Originality/value The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.
{"title":"Identifying critical challenges to lean construction adoption","authors":"Arpita Singh, Vimal Kumar, Ankesh Mittal, Pratima Verma","doi":"10.1108/ci-09-2022-0229","DOIUrl":"https://doi.org/10.1108/ci-09-2022-0229","url":null,"abstract":"\u0000Purpose\u0000This study aims to set out to identify and evaluate potential obstacles to successfully implementing lean construction (LC) as a result.\u0000\u0000\u0000Design/methodology/approach\u0000Several indicators were recognized as major obstacles following an exhaustive assessment of the literature and a multicriteria decision analysis based on the analytic hierarchy process (AHP) of information obtained from a questionnaire survey that was directed to practitioners in the Indian construction industry.\u0000\u0000\u0000Findings\u0000The results of this AHP model suggest that “Managerial” and “Inadequate resources” categories with a priority weight of “0.361” and “0.309” have the highest levels of influence, respectively, while “Inadequate knowledge” and “just in time (JIT)” categories with a priority weight of “0.053” and “0.034” have the lowest levels of influence, respectively.\u0000\u0000\u0000Research limitations/implications\u0000Construction companies can use the study’s findings as a guide to determine whether they are ready to embrace LC, learn more about the components needed for implementation or investigate any challenges that may arise. These businesses can then create plans to promote the adoption and application of the lean philosophy.\u0000\u0000\u0000Originality/value\u0000The Indian construction industry may see great success with LC management initiatives. LC concepts have been adopted by many nations, but during the past 20 years, there has only appeared to be a limited amount of lean implementation in the Indian construction industry. It seems that several structural and cultural barriers are preventing its effective implementation. Organizations will not be able to determine what improvement efforts are required, where these efforts should be directed or which initiatives could provide the best outcomes if they are unaware of the elements that influence the effective implementation of LC.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49466590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose The purpose of this paper is to determine if companies in the modular and offsite construction (MOC) industry are agile or not and its level of application for agility principles, which allows for quick responses to the increasingly dynamic nature of industry environments. Design/methodology/approach This paper proposes an agility assessment framework for MOC that uses 48 assessment attributes organized into four categories: metrics, drivers, enablers and capabilities. A questionnaire approach was used to disseminate the framework globally in 19 countries and synthesize its relevance to the MOC industry. The questionnaire had 55 complete responses, majority of respondents work in managerial positions for MOC manufacturing facilities and onsite general contractors. Findings It was found that the lowest metric score for adapting to change was for cost since controlling cost would be difficult for any changes required after the design freeze stage. The top agility driver was found to be the need to respond to the wide variety of customer expectations, while the lowest driver was the existence of competing priorities. The top agility enabler was vendor partnership, which can be related to current postpandemic supply chain disruptions. Regarding technological capabilities, Europe and the USA acquired better scores compared to Asia, Latin America and Africa. Originality/value This study contributes to the MOC body of knowledge by creating an agility assessment tool for MOC firms to analyze their agile approach and environment, identifying the preliminary importance of agility assessment attributes and determining significant agile differences between the main MOC industry groups.
{"title":"Agility assessment framework for modular and offsite construction","authors":"Tarek Salama, Hisham Said","doi":"10.1108/ci-09-2022-0238","DOIUrl":"https://doi.org/10.1108/ci-09-2022-0238","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to determine if companies in the modular and offsite construction (MOC) industry are agile or not and its level of application for agility principles, which allows for quick responses to the increasingly dynamic nature of industry environments.\u0000\u0000\u0000Design/methodology/approach\u0000This paper proposes an agility assessment framework for MOC that uses 48 assessment attributes organized into four categories: metrics, drivers, enablers and capabilities. A questionnaire approach was used to disseminate the framework globally in 19 countries and synthesize its relevance to the MOC industry. The questionnaire had 55 complete responses, majority of respondents work in managerial positions for MOC manufacturing facilities and onsite general contractors.\u0000\u0000\u0000Findings\u0000It was found that the lowest metric score for adapting to change was for cost since controlling cost would be difficult for any changes required after the design freeze stage. The top agility driver was found to be the need to respond to the wide variety of customer expectations, while the lowest driver was the existence of competing priorities. The top agility enabler was vendor partnership, which can be related to current postpandemic supply chain disruptions. Regarding technological capabilities, Europe and the USA acquired better scores compared to Asia, Latin America and Africa.\u0000\u0000\u0000Originality/value\u0000This study contributes to the MOC body of knowledge by creating an agility assessment tool for MOC firms to analyze their agile approach and environment, identifying the preliminary importance of agility assessment attributes and determining significant agile differences between the main MOC industry groups.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46663417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose The staggering demand for construction projects to meet a spectrum of public needs is projected to outstrip the industry’s supply capability. The modern methods of construction (MMC) offers wider control due to shifting key construction processes offsite. Public clients play a significant role due to their purchasing power; however, their uptake of MMC is low, despite the benefits. The purpose of this study is to reveal the reasoning behind such low adoption. The research gap, herewith, is our lack of understanding of the influence of public clients perceptions on their adoption’s indecision. Design/methodology/approach This study used a qualitative approach to investigate the motives behind the public sector’s low MMC adoption. Semi-structured interviews with 14 of the United Kingdom’s public sector decision-makers, industry leaders and experts have been conducted. Perspectives were argued against the diffusion of innovation (DOI) theory. Findings Overall, the innovation’s attributes informed the authors of the positive perceptions from the public sector, demonstrating that the low adoption of MMC is not linked to any embedded issues with the innovation itself rather being predominantly related to the dynamics between supply and demand. The former (supply), reflected a failure in communicating confidence, and the latter (demand), attained characteristics that are limiting wider uptake. Originality/value To the best of the authors’ knowledge, this is the first study to apply the DOI theory to reveal the relationship between UK public clients’ perceptions and their decision-making. Moreover, this paper addresses the scant attention to the use of theories to explain the flow of innovations in the construction context.
{"title":"“It's your fault!” – said a public client to modernity advocates: an exploration of UK public sector’s viewpoints on the modern methods of construction","authors":"","doi":"10.1108/ci-11-2022-0282","DOIUrl":"https://doi.org/10.1108/ci-11-2022-0282","url":null,"abstract":"\u0000Purpose\u0000The staggering demand for construction projects to meet a spectrum of public needs is projected to outstrip the industry’s supply capability. The modern methods of construction (MMC) offers wider control due to shifting key construction processes offsite. Public clients play a significant role due to their purchasing power; however, their uptake of MMC is low, despite the benefits. The purpose of this study is to reveal the reasoning behind such low adoption. The research gap, herewith, is our lack of understanding of the influence of public clients perceptions on their adoption’s indecision.\u0000\u0000\u0000Design/methodology/approach\u0000This study used a qualitative approach to investigate the motives behind the public sector’s low MMC adoption. Semi-structured interviews with 14 of the United Kingdom’s public sector decision-makers, industry leaders and experts have been conducted. Perspectives were argued against the diffusion of innovation (DOI) theory.\u0000\u0000\u0000Findings\u0000Overall, the innovation’s attributes informed the authors of the positive perceptions from the public sector, demonstrating that the low adoption of MMC is not linked to any embedded issues with the innovation itself rather being predominantly related to the dynamics between supply and demand. The former (supply), reflected a failure in communicating confidence, and the latter (demand), attained characteristics that are limiting wider uptake.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this is the first study to apply the DOI theory to reveal the relationship between UK public clients’ perceptions and their decision-making. Moreover, this paper addresses the scant attention to the use of theories to explain the flow of innovations in the construction context.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48912894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Lambers, F. Lamari, M. Skitmore, Darmicka Rajendra
Purpose Construction defects are one of the primary causes of deficient quality performance and constantly yield project cost and schedule overruns mostly because of rework. This study aims to propose a new method for identifying a bespoke checklist of the most recurrent defects in residential construction work and their correlated causes as a basis for developing a framework for practical improvements in managing defect risks. Design/methodology/approach A literature review was first used to ground the defects within the existing theory and develop a new framework for ranking the key defects involved. This was demonstrated and tested by an analysis of Queensland Building Construction Commission (QBCC) archival data for 42,000 reported defects in new Queensland residential buildings. A questionnaire survey of 427 construction practitioners from 37 trades was then conducted to determine their causes. Findings The developed framework consists of preconditions for defective acts, defective supervision and organizational influences and is found to be suitable for analyzing the QBCC archives to rank the 20 most frequent defects. In the demonstration study, a questionnaire survey identified the highest frequency latent causes of defective acts to be workers taking shortcuts to complete tasks, workers’ lack of skill or knowledge level, challenges and limitations of technical constructability, and incorrect material supply; the failure to correct a known problem and poor supervision for defective supervision; and inadequate employee training, low managerial priority for quality and high time pressure and constraints for organizational influences. Originality/value The method is a new approach to identifying the key defects in residential construction work and their correlated causes for developing bespoke checklists as an aid to in managing defect risks.
{"title":"Key residential construction defects: a framework for their identification and correlated causes","authors":"R. Lambers, F. Lamari, M. Skitmore, Darmicka Rajendra","doi":"10.1108/ci-05-2022-0103","DOIUrl":"https://doi.org/10.1108/ci-05-2022-0103","url":null,"abstract":"\u0000Purpose\u0000Construction defects are one of the primary causes of deficient quality performance and constantly yield project cost and schedule overruns mostly because of rework. This study aims to propose a new method for identifying a bespoke checklist of the most recurrent defects in residential construction work and their correlated causes as a basis for developing a framework for practical improvements in managing defect risks.\u0000\u0000\u0000Design/methodology/approach\u0000A literature review was first used to ground the defects within the existing theory and develop a new framework for ranking the key defects involved. This was demonstrated and tested by an analysis of Queensland Building Construction Commission (QBCC) archival data for 42,000 reported defects in new Queensland residential buildings. A questionnaire survey of 427 construction practitioners from 37 trades was then conducted to determine their causes.\u0000\u0000\u0000Findings\u0000The developed framework consists of preconditions for defective acts, defective supervision and organizational influences and is found to be suitable for analyzing the QBCC archives to rank the 20 most frequent defects. In the demonstration study, a questionnaire survey identified the highest frequency latent causes of defective acts to be workers taking shortcuts to complete tasks, workers’ lack of skill or knowledge level, challenges and limitations of technical constructability, and incorrect material supply; the failure to correct a known problem and poor supervision for defective supervision; and inadequate employee training, low managerial priority for quality and high time pressure and constraints for organizational influences.\u0000\u0000\u0000Originality/value\u0000The method is a new approach to identifying the key defects in residential construction work and their correlated causes for developing bespoke checklists as an aid to in managing defect risks.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43821440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose The construction industry has arrived at a crossroads of rapid technological progress. While it is foreseen that the advent of new construction technologies will disrupt the construction industry’s future, such disruptions often create the ideal environment for innovation. As poor payment practices continue to plague the construction industry, the advent of smart contracts has created an opportunity to rectify the inherent flaws in the mitigation of payment problems in traditional construction contracts. Given the intrinsic resistance of construction firms to such revolutionary changes, this study aims to understand the various factors influencing the adoption of smart contracts in the Singapore construction industry. Design/methodology/approach A mixed method was adopted involving quantifying respondents’ perceptions of the factors influencing smart contract adoption, and validation from a group of interviewees on the matter. Out of 461 registered quantity surveyor members contacted via the Singapore institute of surveyors and valuers website, 55 respondents took part in the survey. This is followed by semi-structured interviews to validate the survey results. Findings The findings indicate that construction firms have neither a significant knowledge of nor willingness to adopt smart contracts. A total of 29 institutional factors were also identified that significantly influence the adoption of smart contracts. The quantitative findings were further reinforced by qualitative interviews with five industry experts. Originality/value With recognition of and the successful formulation of the significant institutional drivers and barriers, the key findings of this study will be integral in driving the commercial adoption of smart contracts within the construction industry.
{"title":"Adoption of smart contracts in the construction industry: an institutional analysis of drivers and barriers","authors":"G. Shang, Low Sui Pheng, Roderick Low Zhong Xia","doi":"10.1108/ci-03-2022-0066","DOIUrl":"https://doi.org/10.1108/ci-03-2022-0066","url":null,"abstract":"\u0000Purpose\u0000The construction industry has arrived at a crossroads of rapid technological progress. While it is foreseen that the advent of new construction technologies will disrupt the construction industry’s future, such disruptions often create the ideal environment for innovation. As poor payment practices continue to plague the construction industry, the advent of smart contracts has created an opportunity to rectify the inherent flaws in the mitigation of payment problems in traditional construction contracts. Given the intrinsic resistance of construction firms to such revolutionary changes, this study aims to understand the various factors influencing the adoption of smart contracts in the Singapore construction industry.\u0000\u0000\u0000Design/methodology/approach\u0000A mixed method was adopted involving quantifying respondents’ perceptions of the factors influencing smart contract adoption, and validation from a group of interviewees on the matter. Out of 461 registered quantity surveyor members contacted via the Singapore institute of surveyors and valuers website, 55 respondents took part in the survey. This is followed by semi-structured interviews to validate the survey results.\u0000\u0000\u0000Findings\u0000The findings indicate that construction firms have neither a significant knowledge of nor willingness to adopt smart contracts. A total of 29 institutional factors were also identified that significantly influence the adoption of smart contracts. The quantitative findings were further reinforced by qualitative interviews with five industry experts.\u0000\u0000\u0000Originality/value\u0000With recognition of and the successful formulation of the significant institutional drivers and barriers, the key findings of this study will be integral in driving the commercial adoption of smart contracts within the construction industry.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41669256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Kineber, I. Othman, Ayodeji Emmanuel Oke, N. Chileshe, T. Zayed
Purpose This study aims to develop an overall project success (OPS) model by investigating the mediation impact of value management (VM) implementation between VM critical success factors (CSFs) and OPS as well as the moderation impact of VM CSFs between VM implementation and OPS. Design/methodology/approach In total, 335 structured questionnaires were administered to relevant stakeholders in the study area. The research used a partial least square structural equation modeling (PLS-SEM) to model the relationship among VM implementation, CSFs and OPS. Findings The results revealed that there is an indirect positive and significant correlation among the variables. The model prediction analysis also significantly impacted with 59.9% on OPS by setting VM implementation as a mediator variable and 61% by setting VM CSFs as a moderation variable. Practical implications This research work will serve as a guide or benchmark for decision-makers who want to use VM to improve the success of their building projects. Originality/value This study fills the knowledge gap by identifying and emphasizing the impact of VM CSFs and activities on OPS.
{"title":"Modeling the relationship between value management implementation phases, critical success factors and overall project success","authors":"A. Kineber, I. Othman, Ayodeji Emmanuel Oke, N. Chileshe, T. Zayed","doi":"10.1108/ci-01-2022-0018","DOIUrl":"https://doi.org/10.1108/ci-01-2022-0018","url":null,"abstract":"\u0000Purpose\u0000This study aims to develop an overall project success (OPS) model by investigating the mediation impact of value management (VM) implementation between VM critical success factors (CSFs) and OPS as well as the moderation impact of VM CSFs between VM implementation and OPS.\u0000\u0000\u0000Design/methodology/approach\u0000In total, 335 structured questionnaires were administered to relevant stakeholders in the study area. The research used a partial least square structural equation modeling (PLS-SEM) to model the relationship among VM implementation, CSFs and OPS.\u0000\u0000\u0000Findings\u0000The results revealed that there is an indirect positive and significant correlation among the variables. The model prediction analysis also significantly impacted with 59.9% on OPS by setting VM implementation as a mediator variable and 61% by setting VM CSFs as a moderation variable.\u0000\u0000\u0000Practical implications\u0000This research work will serve as a guide or benchmark for decision-makers who want to use VM to improve the success of their building projects.\u0000\u0000\u0000Originality/value\u0000This study fills the knowledge gap by identifying and emphasizing the impact of VM CSFs and activities on OPS.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47908106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. B. Garip, Orkan Zeynel Güzelci, E. Garip, Serkan Kocabay
Purpose This study aims to present a novel Genetic Algorithm-Based Design Model (GABDM) to provide reduced-risk areas, namely, a “safe footprint,” in interior spaces during earthquakes. This study focuses on housing interiors as the space where inhabitants spend most of their daily lives. Design/methodology/approach The GABDM uses the genetic algorithm as a method, the Nondominated Sorting Genetic Algorithm II algorithm, and the Wallacei X evolutionary optimization engine. The model setup, including inputs, constraints, operations and fitness functions, is presented, as is the algorithmic model’s running procedure. Following the development phase, GABDM is tested with a sample housing interior designed by the authors based on the literature related to earthquake risk in interiors. The implementation section is organized to include two case studies. Findings The implementation of GABDM resulted in optimal “safe footprint” solutions for both case studies. However, the results show that the fitness functions achieved in Case Study 1 differed from those achieved in Case Study 2. Furthermore, Case Study 2 has generated more successful (higher ranking) “safe footprint” alternatives with its proposed furniture system. Originality/value This study presents an original approach to dealing with earthquake risks in the context of interior design, as well as the development of a design model (GABDM) that uses a generative design method to reduce earthquake risks in interior spaces. By introducing the concept of a “safe footprint,” GABDM contributes explicitly to the prevention of earthquake risk. GABDM is adaptable to other architectural typologies that involve footprint and furniture relationships.
{"title":"A genetic algorithm-based design model to provide reduced risk areas for housing interiors","authors":"S. B. Garip, Orkan Zeynel Güzelci, E. Garip, Serkan Kocabay","doi":"10.1108/ci-12-2022-0334","DOIUrl":"https://doi.org/10.1108/ci-12-2022-0334","url":null,"abstract":"\u0000Purpose\u0000This study aims to present a novel Genetic Algorithm-Based Design Model (GABDM) to provide reduced-risk areas, namely, a “safe footprint,” in interior spaces during earthquakes. This study focuses on housing interiors as the space where inhabitants spend most of their daily lives.\u0000\u0000\u0000Design/methodology/approach\u0000The GABDM uses the genetic algorithm as a method, the Nondominated Sorting Genetic Algorithm II algorithm, and the Wallacei X evolutionary optimization engine. The model setup, including inputs, constraints, operations and fitness functions, is presented, as is the algorithmic model’s running procedure. Following the development phase, GABDM is tested with a sample housing interior designed by the authors based on the literature related to earthquake risk in interiors. The implementation section is organized to include two case studies.\u0000\u0000\u0000Findings\u0000The implementation of GABDM resulted in optimal “safe footprint” solutions for both case studies. However, the results show that the fitness functions achieved in Case Study 1 differed from those achieved in Case Study 2. Furthermore, Case Study 2 has generated more successful (higher ranking) “safe footprint” alternatives with its proposed furniture system.\u0000\u0000\u0000Originality/value\u0000This study presents an original approach to dealing with earthquake risks in the context of interior design, as well as the development of a design model (GABDM) that uses a generative design method to reduce earthquake risks in interior spaces. By introducing the concept of a “safe footprint,” GABDM contributes explicitly to the prevention of earthquake risk. GABDM is adaptable to other architectural typologies that involve footprint and furniture relationships.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47568421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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