Barry Gledson, Sambo Lyson Zulu, Ali M. Saad, Hazel Ponton
Purpose Against a background context of Construction 4.0, this study aims to explore what digital leadership in construction firms is, why it is necessary and what considerations it involves. It provides a digital leadership considerations framework to aid organisational digital transformations. Design/methodology/approach To address the research question informing what digital leadership involves, an interpretivist study was conducted. Eleven purposively selected expert practitioners, including construction business leaders and company digital champions were surveyed using in-depth semi-structured interviews. This obtained insights and reflections on how construction leaders can impel digital transformations. Findings How construction leaders can embed the skills to drive such transformation in their firms, what the essential digital skills for construction businesses now are in Construction 4.0 and how leaders can attempt to evaluate the value of digital technology for their business practices, are all crystallised. Impacts of digital transformations on the construction workplace are also highlighted. Practical implications Because of this work, business leaders will be better equipped to lead and support further digital transformation efforts in Construction 4.0. Future research directions aid academics. Originality/value Clear definitions of digital transformation and digital leadership are provided, and a digital leadership considerations framework is provided to support firm-level digital transformations for Construction 4.0.
{"title":"Digital leadership framework to support firm-level digital transformations for Construction 4.0","authors":"Barry Gledson, Sambo Lyson Zulu, Ali M. Saad, Hazel Ponton","doi":"10.1108/ci-12-2022-0328","DOIUrl":"https://doi.org/10.1108/ci-12-2022-0328","url":null,"abstract":"Purpose Against a background context of Construction 4.0, this study aims to explore what digital leadership in construction firms is, why it is necessary and what considerations it involves. It provides a digital leadership considerations framework to aid organisational digital transformations. Design/methodology/approach To address the research question informing what digital leadership involves, an interpretivist study was conducted. Eleven purposively selected expert practitioners, including construction business leaders and company digital champions were surveyed using in-depth semi-structured interviews. This obtained insights and reflections on how construction leaders can impel digital transformations. Findings How construction leaders can embed the skills to drive such transformation in their firms, what the essential digital skills for construction businesses now are in Construction 4.0 and how leaders can attempt to evaluate the value of digital technology for their business practices, are all crystallised. Impacts of digital transformations on the construction workplace are also highlighted. Practical implications Because of this work, business leaders will be better equipped to lead and support further digital transformation efforts in Construction 4.0. Future research directions aid academics. Originality/value Clear definitions of digital transformation and digital leadership are provided, and a digital leadership considerations framework is provided to support firm-level digital transformations for Construction 4.0.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135352947","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 analyse the current state of research on the integration of blockchain and building information modelling (BIM) in the Architecture, Engineering, Construction and Operations (AECO) industry as a means of identifying gaps between the existing paradigm and practical applications for determining future research directions and improving the industry. The study aims to provide clear guidance on areas that need attention for further research and funding and to draw academic attention to factors beyond the technical dimension. Design/methodology/approach A mixed-method systematic review is used, considering multiple literature types and using a sociotechnical perspective-based framework that covers three dimensions (technic, process and context) and three research elements (why, what and how). Data are retrieved and analysed from the Web of Science and Scopus databases for the 2017–2023 period. Findings While blockchain has the potential to address security, traceability and transparency and complement the system by integrating supporting applications, significant gaps still exist between these potentials and widespread industry adoption. Current limitations and further research needs are identified, including designing fully integrated prototypes, empirical research to identify operational processes, testing and analysing operational-level models or applications and developing and applying a technology acceptance model for the integration paradigm. Previous research lacks contextual settings, real-world tests or empirical investigations and is primarily conceptual. Originality/value This paper provides a comprehensive, critical systematic review of the integration of blockchain with BIM in the construction industry, using a sociotechnical perspective-based framework which can be applied in future reviews. The study provides insight into the current state and future opportunities for policymakers and practitioners in the AECO industry to prepare for the transition in this disruptive paradigm. It also provides a phased plan along with a clear direction for the transition to more advanced applications.
本文的目的是分析区块链和建筑信息模型(BIM)在建筑、工程、施工和运营(AECO)行业的集成研究现状，以此作为识别现有范式与实际应用之间差距的一种手段，以确定未来的研究方向和改善行业。这项研究的目的是为进一步研究和资助需要注意的领域提供明确的指导，并提请学术界注意技术层面以外的因素。设计/方法/方法采用混合方法系统综述，考虑多种文献类型，并使用基于社会技术视角的框架，该框架涵盖三个维度(技术，过程和背景)和三个研究元素(为什么，什么和如何)。数据从2017-2023年期间的Web of Science和Scopus数据库中检索和分析。虽然区块链有潜力解决安全性、可追溯性和透明度问题，并通过集成支持应用程序来补充系统，但这些潜力与广泛的行业采用之间仍然存在重大差距。确定了当前的限制和进一步的研究需求，包括设计完全集成的原型，确定操作过程的实证研究，测试和分析操作级模型或应用程序，以及为集成范例开发和应用技术接受模型。以前的研究缺乏背景设置，现实世界的测试或实证调查，主要是概念性的。本文采用基于社会技术视角的框架，对区块链与BIM在建筑行业的整合进行了全面、批判性的系统回顾，该框架可用于未来的回顾。该研究为AECO行业的政策制定者和从业者提供了当前状态和未来机会的见解，以便为这种颠覆性范式的转变做好准备。它还提供了一个分阶段的计划，以及向更高级应用程序过渡的明确方向。
{"title":"Integrating blockchain with building information modelling (BIM): a systematic review based on a sociotechnical system perspective","authors":"Jiyang Yu, Hua Zhong, Marzia Bolpagni","doi":"10.1108/ci-04-2023-0082","DOIUrl":"https://doi.org/10.1108/ci-04-2023-0082","url":null,"abstract":"Purpose The purpose of this paper is to analyse the current state of research on the integration of blockchain and building information modelling (BIM) in the Architecture, Engineering, Construction and Operations (AECO) industry as a means of identifying gaps between the existing paradigm and practical applications for determining future research directions and improving the industry. The study aims to provide clear guidance on areas that need attention for further research and funding and to draw academic attention to factors beyond the technical dimension. Design/methodology/approach A mixed-method systematic review is used, considering multiple literature types and using a sociotechnical perspective-based framework that covers three dimensions (technic, process and context) and three research elements (why, what and how). Data are retrieved and analysed from the Web of Science and Scopus databases for the 2017–2023 period. Findings While blockchain has the potential to address security, traceability and transparency and complement the system by integrating supporting applications, significant gaps still exist between these potentials and widespread industry adoption. Current limitations and further research needs are identified, including designing fully integrated prototypes, empirical research to identify operational processes, testing and analysing operational-level models or applications and developing and applying a technology acceptance model for the integration paradigm. Previous research lacks contextual settings, real-world tests or empirical investigations and is primarily conceptual. Originality/value This paper provides a comprehensive, critical systematic review of the integration of blockchain with BIM in the construction industry, using a sociotechnical perspective-based framework which can be applied in future reviews. The study provides insight into the current state and future opportunities for policymakers and practitioners in the AECO industry to prepare for the transition in this disruptive paradigm. It also provides a phased plan along with a clear direction for the transition to more advanced applications.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135489069","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 Variations due to errors and mistakes have caused cost overruns in building projects. Therefore, it is undeniable that the gravity of such variations will be a critical factor in deciding the success of any building project. In addition, the design stage of a building project is considered the most suitable stage to identify and mitigate the causes of potential variations. However, there are no proper mechanisms to minimise the frequency or gravity of variations. Many researchers experienced the promising essence of Poka-Yoke, a mistake-proofing method aimed at increasing efficiency by early detection and eradication of the causes of potential errors. However, less attention has been paid so far to implement Poka-Yoke principles to minimise variations in the building project. Therefore, this study aims to develop a framework to minimise variations in building projects through the integration of the Poka-Yoke principles. Design/methodology/approach An interpretivism stance is adopted, and a qualitative research approach is used. The data collection technique adopted is semi-structured interviews with ten experts, and the data is analysed using code-based content analysis through NVivo12. Findings Research findings revealed 23 causes of variations, categorised under client-originated, consultant-originated, contractor-originated and other variations. The identified causes were then mapped with the Poka-Yoke principles to develop the framework. The research findings could prove useful to researchers, academics, government agencies and construction professionals in developing nations that have demographic/cultural and socioeconomic characteristics such as Sri Lanka. Originality/value The findings benefitted the Sri Lankan construction sector by minimising the causes of variations. To the best of the authors’ knowledge, this study will be the first of its kind in the Sri Lankan construction industry, leading to a better understanding of the “Poka-Yoke” principle within the building construction context.
{"title":"Poka-Yoke to minimise variations: a framework for building projects","authors":"Nadeeshan Uhanovita A.C., Tharusha K.A.T.O., Agana Parameswaran","doi":"10.1108/ci-12-2022-0343","DOIUrl":"https://doi.org/10.1108/ci-12-2022-0343","url":null,"abstract":"Purpose Variations due to errors and mistakes have caused cost overruns in building projects. Therefore, it is undeniable that the gravity of such variations will be a critical factor in deciding the success of any building project. In addition, the design stage of a building project is considered the most suitable stage to identify and mitigate the causes of potential variations. However, there are no proper mechanisms to minimise the frequency or gravity of variations. Many researchers experienced the promising essence of Poka-Yoke, a mistake-proofing method aimed at increasing efficiency by early detection and eradication of the causes of potential errors. However, less attention has been paid so far to implement Poka-Yoke principles to minimise variations in the building project. Therefore, this study aims to develop a framework to minimise variations in building projects through the integration of the Poka-Yoke principles. Design/methodology/approach An interpretivism stance is adopted, and a qualitative research approach is used. The data collection technique adopted is semi-structured interviews with ten experts, and the data is analysed using code-based content analysis through NVivo12. Findings Research findings revealed 23 causes of variations, categorised under client-originated, consultant-originated, contractor-originated and other variations. The identified causes were then mapped with the Poka-Yoke principles to develop the framework. The research findings could prove useful to researchers, academics, government agencies and construction professionals in developing nations that have demographic/cultural and socioeconomic characteristics such as Sri Lanka. Originality/value The findings benefitted the Sri Lankan construction sector by minimising the causes of variations. To the best of the authors’ knowledge, this study will be the first of its kind in the Sri Lankan construction industry, leading to a better understanding of the “Poka-Yoke” principle within the building construction context.","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134990434","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}
{"title":"Building information modeling as a tool for prevention of design defects","authors":"H. Koo, J. O’Connor","doi":"10.1108/CI-02-2021-0033","DOIUrl":"https://doi.org/10.1108/CI-02-2021-0033","url":null,"abstract":"","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126310693","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 Immersive virtual environments (IVEs) aid in perceiving spaces by providing a platform for all stakeholders to make better decisions at early design stages. Nevertheless, they are not widely used in architecture, engineering and construction (AEC) industry. This paper aims to illustrate the impact of level of details (LODs) in participants’ perception for architecture design alternatives in IVEs. Design/methodology/approach This paper presents an approach to estimate how distance perception varies between real and virtual environments when different design alternatives are implemented. First, a fully three-dimensional (3D) model for a replica meeting room was created and the level of details (LODs) inside the IVE was gradually modified. Second, a questionnaire was designed to collect responses about how the perceived experience of an IVE is compared to that of the physical environment, where the two environments have the same dimensions. Twenty-six participants were recruited in this study to estimate eight distances in the IVEs while putting on a head-mounted display. Findings Obtained results show that decreasing LOD has negative effect on users’ perception. Thus, when all of the available LODs were added to the IVE, the perceived perception was significantly enhanced. These findings emphasize the relation between the physical details and distance perception in IVEs and shed light on how to design virtual reality architectural models in an efficient manner. Originality/value Different experiments were conducted to analyze perception differences associated with factors such as LODs, gender and whether participants are wearing glasses.
{"title":"Evaluating distance perception for architecture design alternatives in immersive virtual environment: a comparative study","authors":"Narmin Abouelkhier, D. Shawky, M. Marzouk","doi":"10.1108/CI-11-2020-0188","DOIUrl":"https://doi.org/10.1108/CI-11-2020-0188","url":null,"abstract":"\u0000Purpose\u0000Immersive virtual environments (IVEs) aid in perceiving spaces by providing a platform for all stakeholders to make better decisions at early design stages. Nevertheless, they are not widely used in architecture, engineering and construction (AEC) industry. This paper aims to illustrate the impact of level of details (LODs) in participants’ perception for architecture design alternatives in IVEs.\u0000\u0000\u0000Design/methodology/approach\u0000This paper presents an approach to estimate how distance perception varies between real and virtual environments when different design alternatives are implemented. First, a fully three-dimensional (3D) model for a replica meeting room was created and the level of details (LODs) inside the IVE was gradually modified. Second, a questionnaire was designed to collect responses about how the perceived experience of an IVE is compared to that of the physical environment, where the two environments have the same dimensions. Twenty-six participants were recruited in this study to estimate eight distances in the IVEs while putting on a head-mounted display.\u0000\u0000\u0000Findings\u0000Obtained results show that decreasing LOD has negative effect on users’ perception. Thus, when all of the available LODs were added to the IVE, the perceived perception was significantly enhanced. These findings emphasize the relation between the physical details and distance perception in IVEs and shed light on how to design virtual reality architectural models in an efficient manner.\u0000\u0000\u0000Originality/value\u0000Different experiments were conducted to analyze perception differences associated with factors such as LODs, gender and whether participants are wearing glasses.\u0000","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122846953","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 study is to better understand distinct solution strategy types for common commissioning and startup problems (Hot Spots) in the construction of industrial facilities. The authors also sought to better understand which solution strategy types offer the best value for the effort required. Design/methodology/approach The authors used a method of qualitative coding of text-based data to identify themes, patterns and trends from a collection of 178 commissioning and startup (CSU) solution strategies for the CSU Hot Spots. Coding categories emerged after multiple iterations. The authors also mapped high-value, low-effort solution strategies across the categories. Chi-squared testing and analysis of proportion statistics help quantitatively justify this qualitative research. Findings The authors identified 12 distinct coding categories and showed that they follow a non-uniform distribution via statistical testing. Those strategy types which provide particularly good value for the effort required are identified (such as quality assurance and control strategies), as well as those strategy types that do not. Research limitations/implications Research is limited to CSU for the construction of industrial facilities. The findings are also limited to a subset of the most commonly problematic CSU activities. Many findings may be beneficial for heavy civil and commercial CSU as well. Practical implications Coding categories, definitions and descriptions provide a good overview of all 178 solution strategies for CSU project professionals. Implementing certain types of solutions or solution programs may allow CSU managers to prevent multiple Hot Spots from becoming problematic or to keep problems already occurring from becoming worse. Managers will also benefit from knowledge about which strategy types are more likely to give a higher value for lower effort. Originality/value Qualitative coding and analysis of solution strategies for common CSU problems have never been conducted so rigorously in any other CSU study. This method has yielded results distinct from other CSU studies which have used quantitative methods. Insights from findings have advanced the body of knowledge surrounding problem-solving in the commissioning and startup sub-discipline.
{"title":"Taxonomic categories for commissioning and startup hot spot strategies","authors":"Brant Mock, J. O’Connor","doi":"10.1108/CI-07-2020-0118","DOIUrl":"https://doi.org/10.1108/CI-07-2020-0118","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to better understand distinct solution strategy types for common commissioning and startup problems (Hot Spots) in the construction of industrial facilities. The authors also sought to better understand which solution strategy types offer the best value for the effort required.\u0000\u0000\u0000Design/methodology/approach\u0000The authors used a method of qualitative coding of text-based data to identify themes, patterns and trends from a collection of 178 commissioning and startup (CSU) solution strategies for the CSU Hot Spots. Coding categories emerged after multiple iterations. The authors also mapped high-value, low-effort solution strategies across the categories. Chi-squared testing and analysis of proportion statistics help quantitatively justify this qualitative research.\u0000\u0000\u0000Findings\u0000The authors identified 12 distinct coding categories and showed that they follow a non-uniform distribution via statistical testing. Those strategy types which provide particularly good value for the effort required are identified (such as quality assurance and control strategies), as well as those strategy types that do not.\u0000\u0000\u0000Research limitations/implications\u0000Research is limited to CSU for the construction of industrial facilities. The findings are also limited to a subset of the most commonly problematic CSU activities. Many findings may be beneficial for heavy civil and commercial CSU as well.\u0000\u0000\u0000Practical implications\u0000Coding categories, definitions and descriptions provide a good overview of all 178 solution strategies for CSU project professionals. Implementing certain types of solutions or solution programs may allow CSU managers to prevent multiple Hot Spots from becoming problematic or to keep problems already occurring from becoming worse. Managers will also benefit from knowledge about which strategy types are more likely to give a higher value for lower effort.\u0000\u0000\u0000Originality/value\u0000Qualitative coding and analysis of solution strategies for common CSU problems have never been conducted so rigorously in any other CSU study. This method has yielded results distinct from other CSU studies which have used quantitative methods. Insights from findings have advanced the body of knowledge surrounding problem-solving in the commissioning and startup sub-discipline.\u0000","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115747163","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 In a public-private partnership (PPP), the private sector is represented by a company termed the special purpose vehicle (SPV), which combines different stakeholders including designers, contractors and service providers under one umbrella. Correct SPV team selection is critical to ensure PPP success as the SPV must act as an integrated entity. In fact, unless the SPV takes an active role in developing trust and promoting integration principles, segmentation of interests, highly adversarial atmospheres, loss of value and economic inefficiency will prevail. Absence of awareness of such principles among stakeholders and the scarcity of literature investigating SPV stakeholder integration create great risks that jeopardize project success. Accordingly, to mitigate the aforementioned risks and provide stakeholders with both the knowledge and the tools to instigate and maintain integration, this paper aims to develop and test a framework to measure SPV stakeholder integration, inspired by the correlation between integrated project delivery (IPD) and SPV operations. Design/methodology/approach Following a design science research approach, a structured review is conducted to develop the SPV integration metrics and framework. The framework is then validated through face validation by a panel of industry and academic experts to assess its applicability in measuring SPV integration. Finally, the framework is tested on a well-recognized international PPP project to measure the SPV integration level, and the outcomes are discussed and analyzed. Findings The framework was able to assess the integration level of the studied SPV highlighting several areas of low-integration settings and providing guidance for achieving better integration. Originality/value This research is the first that develops a model to investigate the SPV’s integration level, from a holistic IPD perspective, to enable successful relationship management and enhance collaboration success. This study inspires practical recommendations for PPP practitioners to reduce the risks of segregated SPVs and their contribution to PPP failure.
{"title":"IPD-inspired framework for measuring stakeholder integration in public-private partnerships","authors":"Zeina Malaeb, F. Hamzeh","doi":"10.1108/CI-07-2020-0123","DOIUrl":"https://doi.org/10.1108/CI-07-2020-0123","url":null,"abstract":"\u0000Purpose\u0000In a public-private partnership (PPP), the private sector is represented by a company termed the special purpose vehicle (SPV), which combines different stakeholders including designers, contractors and service providers under one umbrella. Correct SPV team selection is critical to ensure PPP success as the SPV must act as an integrated entity. In fact, unless the SPV takes an active role in developing trust and promoting integration principles, segmentation of interests, highly adversarial atmospheres, loss of value and economic inefficiency will prevail. Absence of awareness of such principles among stakeholders and the scarcity of literature investigating SPV stakeholder integration create great risks that jeopardize project success. Accordingly, to mitigate the aforementioned risks and provide stakeholders with both the knowledge and the tools to instigate and maintain integration, this paper aims to develop and test a framework to measure SPV stakeholder integration, inspired by the correlation between integrated project delivery (IPD) and SPV operations.\u0000\u0000\u0000Design/methodology/approach\u0000Following a design science research approach, a structured review is conducted to develop the SPV integration metrics and framework. The framework is then validated through face validation by a panel of industry and academic experts to assess its applicability in measuring SPV integration. Finally, the framework is tested on a well-recognized international PPP project to measure the SPV integration level, and the outcomes are discussed and analyzed.\u0000\u0000\u0000Findings\u0000The framework was able to assess the integration level of the studied SPV highlighting several areas of low-integration settings and providing guidance for achieving better integration.\u0000\u0000\u0000Originality/value\u0000This research is the first that develops a model to investigate the SPV’s integration level, from a holistic IPD perspective, to enable successful relationship management and enhance collaboration success. This study inspires practical recommendations for PPP practitioners to reduce the risks of segregated SPVs and their contribution to PPP failure.\u0000","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"618 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132703824","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 paper aims to cover the development of a methodology for hybrid fuzzy Monte Carlo agent-based simulation (FMCABS) and its implementation on a parametric study of construction crew performance. Design/methodology/approach The developed methodology uses fuzzy logic, Monte Carlo simulation and agent-based modeling to simulate the behavior of construction crews and predict their performance. Both random and subjective uncertainties are considered in model variables. Findings The developed methodology was implemented on a real case involving the parametric study of construction crew performance to assess its applicability and suitability for this context. Research limitations/implications This parametric study demonstrates a practical application for the hybrid FMCABS methodology. Though findings from this study are limited to the context of construction crew motivation and performance, the applicability of the developed methodology extends beyond the construction domain. Practical implications This paper will help construction practitioners to predict and improve crew performance by taking into account both random and subjective uncertainties. Social implications This paper will advance construction modeling by allowing for the assessment of social interactions among crews and their effects on crew performance. Originality/value The developed hybrid FMCABS methodology represents an original contribution, as it allows agent-based models to simultaneously process all types of variables (i.e. deterministic, random and subjective) in the same simulation experiment while accounting for interactions among different agents. In addition, the developed methodology is implemented in a novel and extensive parametric study of construction crew performance.
{"title":"Hybrid fuzzy Monte Carlo agent-based modeling of workforce motivation and performance in construction","authors":"Mohammad Raoufi, A. Fayek","doi":"10.1108/CI-03-2020-0045","DOIUrl":"https://doi.org/10.1108/CI-03-2020-0045","url":null,"abstract":"\u0000Purpose\u0000This paper aims to cover the development of a methodology for hybrid fuzzy Monte Carlo agent-based simulation (FMCABS) and its implementation on a parametric study of construction crew performance.\u0000\u0000\u0000Design/methodology/approach\u0000The developed methodology uses fuzzy logic, Monte Carlo simulation and agent-based modeling to simulate the behavior of construction crews and predict their performance. Both random and subjective uncertainties are considered in model variables.\u0000\u0000\u0000Findings\u0000The developed methodology was implemented on a real case involving the parametric study of construction crew performance to assess its applicability and suitability for this context.\u0000\u0000\u0000Research limitations/implications\u0000This parametric study demonstrates a practical application for the hybrid FMCABS methodology. Though findings from this study are limited to the context of construction crew motivation and performance, the applicability of the developed methodology extends beyond the construction domain.\u0000\u0000\u0000Practical implications\u0000This paper will help construction practitioners to predict and improve crew performance by taking into account both random and subjective uncertainties.\u0000\u0000\u0000Social implications\u0000This paper will advance construction modeling by allowing for the assessment of social interactions among crews and their effects on crew performance.\u0000\u0000\u0000Originality/value\u0000The developed hybrid FMCABS methodology represents an original contribution, as it allows agent-based models to simultaneously process all types of variables (i.e. deterministic, random and subjective) in the same simulation experiment while accounting for interactions among different agents. In addition, the developed methodology is implemented in a novel and extensive parametric study of construction crew performance.\u0000","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123133122","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}
Chang Liu, S. Sepasgozar, S. Shirowzhan, Gelareh Mohammadi
Purpose The practice of artificial intelligence (AI) is increasingly being promoted by technology developers. However, its adoption rate is still reported as low in the construction industry due to a lack of expertise and the limited reliable applications for AI technology. Hence, this paper aims to present the detailed outcome of experimentations evaluating the applicability and the performance of AI object detection algorithms for construction modular object detection. Design/methodology/approach This paper provides a thorough evaluation of two deep learning algorithms for object detection, including the faster region-based convolutional neural network (faster RCNN) and single shot multi-box detector (SSD). Two types of metrics are also presented; first, the average recall and mean average precision by image pixels; second, the recall and precision by counting. To conduct the experiments using the selected algorithms, four infrastructure and building construction sites are chosen to collect the required data, including a total of 990 images of three different but common modular objects, including modular panels, safety barricades and site fences. Findings The results of the comprehensive evaluation of the algorithms show that the performance of faster RCNN and SSD depends on the context that detection occurs. Indeed, surrounding objects and the backgrounds of the objects affect the level of accuracy obtained from the AI analysis and may particularly effect precision and recall. The analysis of loss lines shows that the loss lines for selected objects depend on both their geometry and the image background. The results on selected objects show that faster RCNN offers higher accuracy than SSD for detection of selected objects. Research limitations/implications The results show that modular object detection is crucial in construction for the achievement of the required information for project quality and safety objectives. The detection process can significantly improve monitoring object installation progress in an accurate and machine-based manner avoiding human errors. The results of this paper are limited to three construction sites, but future investigations can cover more tasks or objects from different construction sites in a fully automated manner. Originality/value This paper’s originality lies in offering new AI applications in modular construction, using a large first-hand data set collected from three construction sites. Furthermore, the paper presents the scientific evaluation results of implementing recent object detection algorithms across a set of extended metrics using the original training and validation data sets to improve the generalisability of the experimentation. This paper also provides the practitioners and scholars with a workflow on AI applications in the modular context and the first-hand referencing data.
{"title":"Applications of object detection in modular construction based on a comparative evaluation of deep learning algorithms","authors":"Chang Liu, S. Sepasgozar, S. Shirowzhan, Gelareh Mohammadi","doi":"10.1108/CI-02-2020-0017","DOIUrl":"https://doi.org/10.1108/CI-02-2020-0017","url":null,"abstract":"\u0000Purpose\u0000The practice of artificial intelligence (AI) is increasingly being promoted by technology developers. However, its adoption rate is still reported as low in the construction industry due to a lack of expertise and the limited reliable applications for AI technology. Hence, this paper aims to present the detailed outcome of experimentations evaluating the applicability and the performance of AI object detection algorithms for construction modular object detection.\u0000\u0000\u0000Design/methodology/approach\u0000This paper provides a thorough evaluation of two deep learning algorithms for object detection, including the faster region-based convolutional neural network (faster RCNN) and single shot multi-box detector (SSD). Two types of metrics are also presented; first, the average recall and mean average precision by image pixels; second, the recall and precision by counting. To conduct the experiments using the selected algorithms, four infrastructure and building construction sites are chosen to collect the required data, including a total of 990 images of three different but common modular objects, including modular panels, safety barricades and site fences.\u0000\u0000\u0000Findings\u0000The results of the comprehensive evaluation of the algorithms show that the performance of faster RCNN and SSD depends on the context that detection occurs. Indeed, surrounding objects and the backgrounds of the objects affect the level of accuracy obtained from the AI analysis and may particularly effect precision and recall. The analysis of loss lines shows that the loss lines for selected objects depend on both their geometry and the image background. The results on selected objects show that faster RCNN offers higher accuracy than SSD for detection of selected objects.\u0000\u0000\u0000Research limitations/implications\u0000The results show that modular object detection is crucial in construction for the achievement of the required information for project quality and safety objectives. The detection process can significantly improve monitoring object installation progress in an accurate and machine-based manner avoiding human errors. The results of this paper are limited to three construction sites, but future investigations can cover more tasks or objects from different construction sites in a fully automated manner.\u0000\u0000\u0000Originality/value\u0000This paper’s originality lies in offering new AI applications in modular construction, using a large first-hand data set collected from three construction sites. Furthermore, the paper presents the scientific evaluation results of implementing recent object detection algorithms across a set of extended metrics using the original training and validation data sets to improve the generalisability of the experimentation. This paper also provides the practitioners and scholars with a workflow on AI applications in the modular context and the first-hand referencing data.\u0000","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115575522","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 Both system dynamics (SD) and agent-based modeling (ABM) have been used in simulation-based group dynamics research. To combine the advantages of both simulation approaches, the concept of SD-ABM hybrid simulation has been proposed. However, research efforts to compare the effectiveness of modeling approaches between the hybrid and non-hybrid models in the context of group dynamics study are rare. Against this background, this study aims to propose an agent-embedded SD (aeSD) modeling approach and demonstrate its advantages when compared to pure SD or ABM modeling approaches, based on a research case on construction workers’ social absenteeism. Design/methodology/approach The authors introduce an aeSD modeling approach to incorporate individual attributes and interactions among individuals in an SD model. An aeSD model is developed to replicate the behavior of an agent-based model previously developed by the authors to study construction workers’ group behavior regarding absenteeism. Then, the characteristics of the aeSD model in comparison with a pure ABM or SD model are demonstrated through various simulation experiments. Findings It is demonstrated that an aeSD model can capture the diversity of individuals and simulate emergent system behaviors arising from interactions among heterogeneous agents while holding the strengths of an SD model in identifying causal feedback loops and policy testing. Specifically, the effectiveness of the aeSD approach in policy testing is demonstrated through examples of simulation experiments designed to test various group-level and individual-level interventions to control social absence behavior of workers (e.g. changing work groupings, influencing workgroup networks and communication channels) under the consideration of the context of construction projects. Originality/value The proposed aeSD modeling method is a novel approach to how individual attributes of agents can be modeled into an SD model. Such an embedding-based approach is distinguished from the previous communication-based hybrid simulation approaches. The demonstration example presented in the paper shows that the aeSD modeling approach has advantages in studying group dynamic behavior, especially when the modeling of the interactions and networks between individuals is needed within an SD structure. The simulation experiments conducted in this study demonstrate the characteristics of the aeSD approach distinguishable from both ABM and SD. Based on the results, it is argued that the aeSD modeling approach would be useful in studying construction workers’ social behavior and investigating worker policies through computer simulation.
{"title":"Agent-embedded system dynamics (aeSD) modeling approach for analyzing worker policies: a research case on construction worker absenteeism","authors":"Sungjoo Hwang, Seungjun Ahn, SangHyun Lee","doi":"10.1108/CI-04-2020-0067","DOIUrl":"https://doi.org/10.1108/CI-04-2020-0067","url":null,"abstract":"\u0000Purpose\u0000Both system dynamics (SD) and agent-based modeling (ABM) have been used in simulation-based group dynamics research. To combine the advantages of both simulation approaches, the concept of SD-ABM hybrid simulation has been proposed. However, research efforts to compare the effectiveness of modeling approaches between the hybrid and non-hybrid models in the context of group dynamics study are rare. Against this background, this study aims to propose an agent-embedded SD (aeSD) modeling approach and demonstrate its advantages when compared to pure SD or ABM modeling approaches, based on a research case on construction workers’ social absenteeism.\u0000\u0000\u0000Design/methodology/approach\u0000The authors introduce an aeSD modeling approach to incorporate individual attributes and interactions among individuals in an SD model. An aeSD model is developed to replicate the behavior of an agent-based model previously developed by the authors to study construction workers’ group behavior regarding absenteeism. Then, the characteristics of the aeSD model in comparison with a pure ABM or SD model are demonstrated through various simulation experiments.\u0000\u0000\u0000Findings\u0000It is demonstrated that an aeSD model can capture the diversity of individuals and simulate emergent system behaviors arising from interactions among heterogeneous agents while holding the strengths of an SD model in identifying causal feedback loops and policy testing. Specifically, the effectiveness of the aeSD approach in policy testing is demonstrated through examples of simulation experiments designed to test various group-level and individual-level interventions to control social absence behavior of workers (e.g. changing work groupings, influencing workgroup networks and communication channels) under the consideration of the context of construction projects.\u0000\u0000\u0000Originality/value\u0000The proposed aeSD modeling method is a novel approach to how individual attributes of agents can be modeled into an SD model. Such an embedding-based approach is distinguished from the previous communication-based hybrid simulation approaches. The demonstration example presented in the paper shows that the aeSD modeling approach has advantages in studying group dynamic behavior, especially when the modeling of the interactions and networks between individuals is needed within an SD structure. The simulation experiments conducted in this study demonstrate the characteristics of the aeSD approach distinguishable from both ABM and SD. Based on the results, it is argued that the aeSD modeling approach would be useful in studying construction workers’ social behavior and investigating worker policies through computer simulation.\u0000","PeriodicalId":221945,"journal":{"name":"Construction Innovation: Information, Process, Management","volume":"4 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120920911","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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