Purpose This study aims to analyze and understand mutual relationships between lean and agile enabling factors in the context of the construction domain and put forth the most driving and dependent enablers for a hybrid lean–agile system (HLAS). Design/methodology/approach A threefold research flow is adopted. First, the content analysis of literature stemmed from the identification of preliminary enablers (n = 26). Second, a questionnaire survey (n = 101) is administered to downsize enablers to ten using the relative importance index. Further, in the third phase, interpretive structural modeling (ISM) and the cross-impact matrix multiplication applied to classification analysis were performed amid the ten key enablers through pairwise interactions from subject matter experts (n = 19). Hierarchical representation of enablers has been presented, which facilitates a conceptual model for application in the construction industry. Findings The ISM model demonstrates a three leveled classification structure that showcases direct and transitive relationships among various enablers. “Use of project management tools” is the driving enabler, followed by “collaborative and common data platform working” and “institution of team training” are critical enablers to HLAS adoption. Originality/value A structured way of identification of interdependent among lean–agile is a vital unique contribution to this study. The results serve as a knowledge base for practical adoption of HLAS and may prove to be influential in developing a framework for easier adoption in developing countries.
{"title":"Structuration of lean-agile integrated factors for construction projects","authors":"Vijayeta Malla","doi":"10.1108/ci-05-2022-0105","DOIUrl":"https://doi.org/10.1108/ci-05-2022-0105","url":null,"abstract":"\u0000Purpose\u0000This study aims to analyze and understand mutual relationships between lean and agile enabling factors in the context of the construction domain and put forth the most driving and dependent enablers for a hybrid lean–agile system (HLAS).\u0000\u0000\u0000Design/methodology/approach\u0000A threefold research flow is adopted. First, the content analysis of literature stemmed from the identification of preliminary enablers (n = 26). Second, a questionnaire survey (n = 101) is administered to downsize enablers to ten using the relative importance index. Further, in the third phase, interpretive structural modeling (ISM) and the cross-impact matrix multiplication applied to classification analysis were performed amid the ten key enablers through pairwise interactions from subject matter experts (n = 19). Hierarchical representation of enablers has been presented, which facilitates a conceptual model for application in the construction industry.\u0000\u0000\u0000Findings\u0000The ISM model demonstrates a three leveled classification structure that showcases direct and transitive relationships among various enablers. “Use of project management tools” is the driving enabler, followed by “collaborative and common data platform working” and “institution of team training” are critical enablers to HLAS adoption.\u0000\u0000\u0000Originality/value\u0000A structured way of identification of interdependent among lean–agile is a vital unique contribution to this study. The results serve as a knowledge base for practical adoption of HLAS and may prove to be influential in developing a framework for easier adoption in developing countries.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47774877","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}
Oluseye Olugboyega, Kayode Emmanuel Ilesanmi, G. Oseghale, C. Aigbavboa
Purpose The advancement of digital technological breakthroughs in the construction industry is dependent on connecting the attributes of the intended consumers to the technologies. Thus, this study aims to look at the relationship between construction app acceptance and the digital qualities of construction professionals (CPs) to determine whether understanding the connection can assist predict construction app user behaviour. Design/methodology/approach This study’s theoretical approach was derived from the European Union digital competence model, which supports the hypothesis that the traits associated with digital competence enable digitally competent CPs to embrace construction apps. Six hypotheses were developed to investigate the theories, and multiple linear regression analysis was used to predict the acceptance of construction apps based on the CP’s attributes. Findings The investigation’s findings revealed that the CP’s attributes can explain at least 50% of the proportion of variance in 34 construction apps. The use of a smartphone (Mean Score = 3.30; Factor Loading = 0.609), technological orientation (Mean Score = 3.55; Factor Loading = 0.663), information technology skills (Mean Score = 3.48; Factor Loading = 0.649), information on construction innovation (Mean Score = 3.73; Factor Loading = 0.528) and interest in R&D (Mean Score = 3.48; Factor Loading = 0.531) are the digital characteristics that can essentially forecast the acceptance of construction apps. The data backs up the notion that CPs would gain digital competency before accepting construction apps. This is because a digitally savvy CP will most likely embrace construction apps. Research limitations/implications Frameworks for accelerating digital technologies and innovations in the construction industry have been unveiled in this study. The research also gives recommendations for the evaluation, design and implementation of a more attractive construction app. This study also has implications for investigating the impacts of risk aversion, personal connection, social influence, technological curiosity and digital nativity as predictors of construction app uptake. Practical implications The findings of this study serve as an index for prioritising digital traits for CPs and characterising a digitally proficient construction professional. The findings provide recommendations for organising, training and supporting construction personnel’ digital competencies. The research is useful for developing and implementing instructional digital training programmes. Originality/value This study is unusual in that it provides clear insights on construction apps as well as variables for building great user-experience apps for CPs, which are both limited in the literature.
{"title":"The link between construction apps’ acceptance and digital attributes of construction professionals: perspectives from digital competence model","authors":"Oluseye Olugboyega, Kayode Emmanuel Ilesanmi, G. Oseghale, C. Aigbavboa","doi":"10.1108/ci-04-2022-0094","DOIUrl":"https://doi.org/10.1108/ci-04-2022-0094","url":null,"abstract":"\u0000Purpose\u0000The advancement of digital technological breakthroughs in the construction industry is dependent on connecting the attributes of the intended consumers to the technologies. Thus, this study aims to look at the relationship between construction app acceptance and the digital qualities of construction professionals (CPs) to determine whether understanding the connection can assist predict construction app user behaviour.\u0000\u0000\u0000Design/methodology/approach\u0000This study’s theoretical approach was derived from the European Union digital competence model, which supports the hypothesis that the traits associated with digital competence enable digitally competent CPs to embrace construction apps. Six hypotheses were developed to investigate the theories, and multiple linear regression analysis was used to predict the acceptance of construction apps based on the CP’s attributes.\u0000\u0000\u0000Findings\u0000The investigation’s findings revealed that the CP’s attributes can explain at least 50% of the proportion of variance in 34 construction apps. The use of a smartphone (Mean Score = 3.30; Factor Loading = 0.609), technological orientation (Mean Score = 3.55; Factor Loading = 0.663), information technology skills (Mean Score = 3.48; Factor Loading = 0.649), information on construction innovation (Mean Score = 3.73; Factor Loading = 0.528) and interest in R&D (Mean Score = 3.48; Factor Loading = 0.531) are the digital characteristics that can essentially forecast the acceptance of construction apps. The data backs up the notion that CPs would gain digital competency before accepting construction apps. This is because a digitally savvy CP will most likely embrace construction apps.\u0000\u0000\u0000Research limitations/implications\u0000Frameworks for accelerating digital technologies and innovations in the construction industry have been unveiled in this study. The research also gives recommendations for the evaluation, design and implementation of a more attractive construction app. This study also has implications for investigating the impacts of risk aversion, personal connection, social influence, technological curiosity and digital nativity as predictors of construction app uptake.\u0000\u0000\u0000Practical implications\u0000The findings of this study serve as an index for prioritising digital traits for CPs and characterising a digitally proficient construction professional. The findings provide recommendations for organising, training and supporting construction personnel’ digital competencies. The research is useful for developing and implementing instructional digital training programmes.\u0000\u0000\u0000Originality/value\u0000This study is unusual in that it provides clear insights on construction apps as well as variables for building great user-experience apps for CPs, which are both limited in the literature.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42571229","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}
Ayodeji Emmanuel Oke, John Aliu, Solomon A. Onajite, M. Siméon
Purpose As the construction sector constantly seeks ways to address ever-growing societal demands, the need to embrace innovation and digital technologies (DTs) cannot be overstated. Therefore, the purpose of this study is to assess the success factors influencing the adoption of DTs to achieve sustainable construction in a developing economy such as Nigeria. Design/methodology/approach A quantitative research approach was conducted with close-ended questionnaires developed and administered to construction professionals based in Lagos State, Nigeria. Data obtained was analyzed using percentages, frequency, mean item score and exploratory factor analysis. Findings The findings from the mean scores revealed the leading influential success factors which were education and training, methodology of model constructions, organization development, customer satisfaction and profitability and new revenue. Factor analysis revealed three clusters of success factors which were management needs, construction methodology and effective communication. Practical implications To adequately integrate DTs into construction industry activities and processes, awareness about the technologies must be created and enhanced if already in play. This study posits that the construction sector must accept and implement this new paradigm of innovation to benefit from this disruptive era. Originality/value This study serves as a foundation for other related studies that are aimed at advocating the efficacy of DTs in the effective and efficient execution of construction activities. The assessment of the success factors influencing the adoption of DTs would help construction organizations and stakeholders to understand the need to embrace and implement smart technologies into the activities, operations and processes of the construction industry.
{"title":"Success factors of digital technologies (DT) tools adoption for sustainable construction in a developing economy","authors":"Ayodeji Emmanuel Oke, John Aliu, Solomon A. Onajite, M. Siméon","doi":"10.1108/ci-08-2022-0207","DOIUrl":"https://doi.org/10.1108/ci-08-2022-0207","url":null,"abstract":"\u0000Purpose\u0000As the construction sector constantly seeks ways to address ever-growing societal demands, the need to embrace innovation and digital technologies (DTs) cannot be overstated. Therefore, the purpose of this study is to assess the success factors influencing the adoption of DTs to achieve sustainable construction in a developing economy such as Nigeria.\u0000\u0000\u0000Design/methodology/approach\u0000A quantitative research approach was conducted with close-ended questionnaires developed and administered to construction professionals based in Lagos State, Nigeria. Data obtained was analyzed using percentages, frequency, mean item score and exploratory factor analysis.\u0000\u0000\u0000Findings\u0000The findings from the mean scores revealed the leading influential success factors which were education and training, methodology of model constructions, organization development, customer satisfaction and profitability and new revenue. Factor analysis revealed three clusters of success factors which were management needs, construction methodology and effective communication.\u0000\u0000\u0000Practical implications\u0000To adequately integrate DTs into construction industry activities and processes, awareness about the technologies must be created and enhanced if already in play. This study posits that the construction sector must accept and implement this new paradigm of innovation to benefit from this disruptive era.\u0000\u0000\u0000Originality/value\u0000This study serves as a foundation for other related studies that are aimed at advocating the efficacy of DTs in the effective and efficient execution of construction activities. The assessment of the success factors influencing the adoption of DTs would help construction organizations and stakeholders to understand the need to embrace and implement smart technologies into the activities, operations and processes of the construction industry.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44636343","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}
B. Ekanayake, Alireza Ahmadian Fard Fini, Johnny Kwok-Wai Wong, Peter Smith
Purpose Recognising the as-built state of construction elements is crucial for construction progress monitoring. Construction scholars have used computer vision-based algorithms to automate this process. Robust object recognition from indoor site images has been inhibited by technical challenges related to indoor objects, lighting conditions and camera positioning. Compared with traditional machine learning algorithms, one-stage detector deep learning (DL) algorithms can prioritise the inference speed, enable real-time accurate object detection and classification. This study aims to present a DL-based approach to facilitate the as-built state recognition of indoor construction works. Design/methodology/approach The one-stage DL-based approach was built upon YOLO version 4 (YOLOv4) algorithm using transfer learning with few hyperparameters customised and trained in the Google Colab virtual machine. The process of framing, insulation and drywall installation of indoor partitions was selected as the as-built scenario. For training, images were captured from two indoor sites with publicly available online images. Findings The DL model reported a best-trained weight with a mean average precision of 92% and an average loss of 0.83. Compared to previous studies, the automation level of this study is high due to the use of fixed time-lapse cameras for data collection and zero manual intervention from the pre-processing algorithms to enhance visual quality of indoor images. Originality/value This study extends the application of DL models for recognising as-built state of indoor construction works upon providing training images. Presenting a workflow on training DL models in a virtual machine platform by reducing the computational complexities associated with DL models is also materialised.
{"title":"A deep learning-based approach to facilitate the as-built state recognition of indoor construction works","authors":"B. Ekanayake, Alireza Ahmadian Fard Fini, Johnny Kwok-Wai Wong, Peter Smith","doi":"10.1108/ci-05-2022-0121","DOIUrl":"https://doi.org/10.1108/ci-05-2022-0121","url":null,"abstract":"\u0000Purpose\u0000Recognising the as-built state of construction elements is crucial for construction progress monitoring. Construction scholars have used computer vision-based algorithms to automate this process. Robust object recognition from indoor site images has been inhibited by technical challenges related to indoor objects, lighting conditions and camera positioning. Compared with traditional machine learning algorithms, one-stage detector deep learning (DL) algorithms can prioritise the inference speed, enable real-time accurate object detection and classification. This study aims to present a DL-based approach to facilitate the as-built state recognition of indoor construction works.\u0000\u0000\u0000Design/methodology/approach\u0000The one-stage DL-based approach was built upon YOLO version 4 (YOLOv4) algorithm using transfer learning with few hyperparameters customised and trained in the Google Colab virtual machine. The process of framing, insulation and drywall installation of indoor partitions was selected as the as-built scenario. For training, images were captured from two indoor sites with publicly available online images.\u0000\u0000\u0000Findings\u0000The DL model reported a best-trained weight with a mean average precision of 92% and an average loss of 0.83. Compared to previous studies, the automation level of this study is high due to the use of fixed time-lapse cameras for data collection and zero manual intervention from the pre-processing algorithms to enhance visual quality of indoor images.\u0000\u0000\u0000Originality/value\u0000This study extends the application of DL models for recognising as-built state of indoor construction works upon providing training images. Presenting a workflow on training DL models in a virtual machine platform by reducing the computational complexities associated with DL models is also materialised.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45940322","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 identify and rank the key success factors linked with digitalization in the Indian construction sector. Because the construction firms in India are in the early stages of implementing digitalization in their operations, it provides a framework from which they may focus on the effectiveness of digitalization. Design/methodology/approach This research study examines 12 success factors related to digitalization in construction, which are derived from various sectors. Furthermore, experts from the construction industry and academia have validated these factors with respect to the Indian construction sector. The multi-criteria decision-making techniques are further used to examine the interrelationship, ranking and weightage of digitalization success. Finally, the success factors are validated through a questionnaire-based empirical study followed by ranking using a t-test. The results from both approaches (company-specific and generalized) are compared and discussed. Findings This research identifies that selecting appropriate digital methods and techniques is a critical success factor as far as digitalization in the Indian construction scenario is concerned. Besides that, continuous monitoring and control in digital implementation significantly impact other factors. Research limitations/implications While similar results are obtained from approaches adopted in the study, a few success factors appear to differ in terms of their ranking position. Further studies can explore the finer details that can explain the behavior pattern. This study can also be extended by assessing the structural relationship among the identified factors that can throw more light on the dynamics of the continuation of digitalization in construction which can further help in formulating policies or digitalization rollout. Practical implications The outcome of this study sheds light on construction business knowledge by stressing key success elements connected to digitalization in construction processes in the Indian construction sector. Moreover, this study shows that the success of digitalization in construction is similar to that of transformation in the information technology industry, where adopting suitable digital methods and techniques plays a vital role in the transformation process. Originality/value Despite the multiple benefits of construction digitalization, limited research focuses on digitalization success factors, making this study unique. Furthermore, this study demonstrates that integrating Fuzzy decision-making trial and evaluation laboratory and maximum mean de-entropy approaches may be used to successfully prioritize success factors in the nascent stage of construction digitalization.
{"title":"Evaluation of success factors to implement digitalization in the construction industry","authors":"Avirag Bajpai, S. Misra","doi":"10.1108/ci-02-2022-0042","DOIUrl":"https://doi.org/10.1108/ci-02-2022-0042","url":null,"abstract":"\u0000Purpose\u0000This study aims to identify and rank the key success factors linked with digitalization in the Indian construction sector. Because the construction firms in India are in the early stages of implementing digitalization in their operations, it provides a framework from which they may focus on the effectiveness of digitalization.\u0000\u0000\u0000Design/methodology/approach\u0000This research study examines 12 success factors related to digitalization in construction, which are derived from various sectors. Furthermore, experts from the construction industry and academia have validated these factors with respect to the Indian construction sector. The multi-criteria decision-making techniques are further used to examine the interrelationship, ranking and weightage of digitalization success. Finally, the success factors are validated through a questionnaire-based empirical study followed by ranking using a t-test. The results from both approaches (company-specific and generalized) are compared and discussed.\u0000\u0000\u0000Findings\u0000This research identifies that selecting appropriate digital methods and techniques is a critical success factor as far as digitalization in the Indian construction scenario is concerned. Besides that, continuous monitoring and control in digital implementation significantly impact other factors.\u0000\u0000\u0000Research limitations/implications\u0000While similar results are obtained from approaches adopted in the study, a few success factors appear to differ in terms of their ranking position. Further studies can explore the finer details that can explain the behavior pattern. This study can also be extended by assessing the structural relationship among the identified factors that can throw more light on the dynamics of the continuation of digitalization in construction which can further help in formulating policies or digitalization rollout.\u0000\u0000\u0000Practical implications\u0000The outcome of this study sheds light on construction business knowledge by stressing key success elements connected to digitalization in construction processes in the Indian construction sector. Moreover, this study shows that the success of digitalization in construction is similar to that of transformation in the information technology industry, where adopting suitable digital methods and techniques plays a vital role in the transformation process.\u0000\u0000\u0000Originality/value\u0000Despite the multiple benefits of construction digitalization, limited research focuses on digitalization success factors, making this study unique. Furthermore, this study demonstrates that integrating Fuzzy decision-making trial and evaluation laboratory and maximum mean de-entropy approaches may be used to successfully prioritize success factors in the nascent stage of construction digitalization.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45441597","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 Social procurement (SP) is a complicated and risky innovation, the adoption of which needs to be accompanied by complementary process and organizational change. To date, however, there has been little empirical evidence explaining whether and how different sorts of external pressures affect the level of SP adoption in the construction sector. Drawing on institutional theory, this study aims to analyze how three types of isomorphic pressures (i.e. coercive, mimetic and normative pressures) influence the adoption of SP in the construction sector. Design/methodology/approach The impacts of these pressures are empirically tested with survey data collected from 134 construction firms in the Chinese construction industry. Findings The findings show that both coercive and mimetic pressures have a considerable impact on the adoption of SP. However, there is little evidence in this study that normative demands had a major impact on SP. Practical implications This research is a useful instrument for promoting a favorable social attitude regarding construction procurement. Through socioeconomic regeneration and development, procurement can be considered as a significant route for social transformation, economic development and poverty reduction. Originality/value This study addresses the paucity of research into SP in the construction industry by establishing the institutional drivers to procuring services and products from a social enterprise perspective. Findings from this study extend the frontiers of existing knowledge on SP in the construction industry.
{"title":"Impacts of institutional isomorphism on the adoption of social procurement in the Chinese construction industry","authors":"A. Nawaz, Francis Lanme Guribie","doi":"10.1108/ci-02-2022-0035","DOIUrl":"https://doi.org/10.1108/ci-02-2022-0035","url":null,"abstract":"\u0000Purpose\u0000Social procurement (SP) is a complicated and risky innovation, the adoption of which needs to be accompanied by complementary process and organizational change. To date, however, there has been little empirical evidence explaining whether and how different sorts of external pressures affect the level of SP adoption in the construction sector. Drawing on institutional theory, this study aims to analyze how three types of isomorphic pressures (i.e. coercive, mimetic and normative pressures) influence the adoption of SP in the construction sector.\u0000\u0000\u0000Design/methodology/approach\u0000The impacts of these pressures are empirically tested with survey data collected from 134 construction firms in the Chinese construction industry.\u0000\u0000\u0000Findings\u0000The findings show that both coercive and mimetic pressures have a considerable impact on the adoption of SP. However, there is little evidence in this study that normative demands had a major impact on SP.\u0000\u0000\u0000Practical implications\u0000This research is a useful instrument for promoting a favorable social attitude regarding construction procurement. Through socioeconomic regeneration and development, procurement can be considered as a significant route for social transformation, economic development and poverty reduction.\u0000\u0000\u0000Originality/value\u0000This study addresses the paucity of research into SP in the construction industry by establishing the institutional drivers to procuring services and products from a social enterprise perspective. Findings from this study extend the frontiers of existing knowledge on SP in the construction industry.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44324945","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}
F. Abdeen, Randima Nirmal Gunatilaka, S. Sepasgozar, David Edwards
Purpose This study aims to assess the usability of augmented reality (AR) based mobile app for excavation and earthmoving processes using a novel tool entitled Excavator Augmented Reality (EAR). Design/methodology/approach A mixed-methods research approach was used through conducting experimentation to collect qualitative and quantitative data collected from the Sri Lankan construction sector. EAR app was used for experimentation in outdoor areas examining how a 360° tracked hydraulic excavator can be navigated in different physical environments similar to the real prospected job. Findings The findings reveal that EAR could make a considerable impact on enhancing productivity, safety and training processes. However, the developed EAR App subjected to assessment demonstrated the highest satisfaction gap for the auditory aspects. Among the remaining criterion, the satisfaction met user expectations for comfortability and no-risk practice. An analysis of strengths, weaknesses, opportunities and threats (SWOT analysis) conducted revealed that visualising the excavator activities and the requirements of improved features were the highest agreed strengths and weaknesses of the EAR. Among the opportunities for improvement, the necessity of improving emergency and safety reached the highest agreement. Moreover, the study presented the challenges in introducing mobile augmented reality (MAR) to the construction sector under the political, economic, sociocultural, technological, environmental and legal (PESTEL) model along with solutions to be taken. Originality/value This study provides a novel approach to addressing the safety, productivity and training concerns in heavy mobile plants and machinery on construction sites which remains to be unexplored to this end.
{"title":"The usability of a novel mobile augmented reality application for excavation process considering safety and productivity in construction","authors":"F. Abdeen, Randima Nirmal Gunatilaka, S. Sepasgozar, David Edwards","doi":"10.1108/ci-07-2022-0168","DOIUrl":"https://doi.org/10.1108/ci-07-2022-0168","url":null,"abstract":"\u0000Purpose\u0000This study aims to assess the usability of augmented reality (AR) based mobile app for excavation and earthmoving processes using a novel tool entitled Excavator Augmented Reality (EAR).\u0000\u0000\u0000Design/methodology/approach\u0000A mixed-methods research approach was used through conducting experimentation to collect qualitative and quantitative data collected from the Sri Lankan construction sector. EAR app was used for experimentation in outdoor areas examining how a 360° tracked hydraulic excavator can be navigated in different physical environments similar to the real prospected job.\u0000\u0000\u0000Findings\u0000The findings reveal that EAR could make a considerable impact on enhancing productivity, safety and training processes. However, the developed EAR App subjected to assessment demonstrated the highest satisfaction gap for the auditory aspects. Among the remaining criterion, the satisfaction met user expectations for comfortability and no-risk practice. An analysis of strengths, weaknesses, opportunities and threats (SWOT analysis) conducted revealed that visualising the excavator activities and the requirements of improved features were the highest agreed strengths and weaknesses of the EAR. Among the opportunities for improvement, the necessity of improving emergency and safety reached the highest agreement. Moreover, the study presented the challenges in introducing mobile augmented reality (MAR) to the construction sector under the political, economic, sociocultural, technological, environmental and legal (PESTEL) model along with solutions to be taken.\u0000\u0000\u0000Originality/value\u0000This study provides a novel approach to addressing the safety, productivity and training concerns in heavy mobile plants and machinery on construction sites which remains to be unexplored to this end.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48388361","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}
Pub Date : 2022-12-07DOI: 10.15282/construction.v2i2.8744
Dr. Ferhad Rahim Karim
The cement mortar in the building encounters a problem of curing due to covering mortar under finishing materials such as tiles, stones, and marble. Internal curing is one of the methods for solving this problem. This investigation highlights the impact of internal curing with lightweight pumice fine aggregate on cement mortar's mechanical properties, such as compressive and tensile strengths, and performance, such as density. Thus, the internal cured water-to-cement ratio was studied, which varied from 0 to 21.5%, and the partial replacement of natural sand with lightweight pumice fine aggregate varied from 0% to 16.63%. The results showed the mechanical properties improved with the increased internal water-to-cement ratio. Increasing the internal cured water-to-cement ratio up to 21.52% improves the compressive, split tensile, and flexural strengths of cement mortar up to 77.3%, 56.42%, and 28.71%, respectively. In addition, the partial replacement of natural sand with lightweight pumice aggregate up to 10.9% enhances the compressive, split tensile, and flexural strengths of cement mortar up to 24.2%, 6.1%, and 28.7%, respectively, due to a reduction in drying and autogenous shrinkage.
{"title":"Influence of Internal Curing with Lightweight Pumice Fine Aggregate on the Mechanical Properties of Cement Mortars","authors":"Dr. Ferhad Rahim Karim","doi":"10.15282/construction.v2i2.8744","DOIUrl":"https://doi.org/10.15282/construction.v2i2.8744","url":null,"abstract":"The cement mortar in the building encounters a problem of curing due to covering mortar under finishing materials such as tiles, stones, and marble. Internal curing is one of the methods for solving this problem. This investigation highlights the impact of internal curing with lightweight pumice fine aggregate on cement mortar's mechanical properties, such as compressive and tensile strengths, and performance, such as density. Thus, the internal cured water-to-cement ratio was studied, which varied from 0 to 21.5%, and the partial replacement of natural sand with lightweight pumice fine aggregate varied from 0% to 16.63%. The results showed the mechanical properties improved with the increased internal water-to-cement ratio. Increasing the internal cured water-to-cement ratio up to 21.52% improves the compressive, split tensile, and flexural strengths of cement mortar up to 77.3%, 56.42%, and 28.71%, respectively. In addition, the partial replacement of natural sand with lightweight pumice aggregate up to 10.9% enhances the compressive, split tensile, and flexural strengths of cement mortar up to 24.2%, 6.1%, and 28.7%, respectively, due to a reduction in drying and autogenous shrinkage.","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":"12 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85634539","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 extends the authors’ previous research work investigating resilience for municipal infrastructure from an asset management perspective. Therefore, this paper aims to formulate a pavement resilience index while incorporating asset management and the associated resilience indicators from the authors’ previous research work. Design/methodology/approach This paper introduces a set of holistic-based key indicators that reflect municipal infrastructure resiliency. Thenceforth, the indicators were integrated using the weighted sum mean method to form the proposed resilience index. Resilience indicators weights were determined using principal components analysis (PCA) via IBM SPSS®. The developed framework for the PCA was built based on an optimization model output to generate the required weights for the desired resilience index. The output optimization data were adjusted using the standardization method before performing PCA. Findings This paper offers a mathematical approach to generating a resilience index for municipal infrastructure. The statistical tests conducted throughout the study showed a high significance level. Therefore, using PCA was proper for the resilience indicators data. The proposed framework is beneficial for asset management experts, where introducing the proposed index will provide ease of use to decision-makers regarding pavement network maintenance planning. Research limitations/implications The resilience indicators used need to be updated beyond what is mentioned in this paper to include asset redundancy and structural asset capacity. Using clustering as a validation tool is an excellent opportunity for other researchers to examine the resilience index for each pavement corridor individually pertaining to the resulting clusters. Originality/value This paper provides a unique example of integrating resilience and asset management concepts and serves as a vital step toward a comprehensive integration approach between the two concepts. The used PCA framework offers dynamic resilience indicators weights and, therefore, a dynamic resilience index. Resiliency is a dynamic feature for infrastructure systems. It differs during their life cycle with the change in maintenance and rehabilitation plans, systems retrofit and the occurring disruptive events throughout their life cycle. Therefore, the PCA technique was the preferred method used where it is data-based oriented and eliminates the subjectivity while driving indicators weights.
{"title":"Asset management-based resilience index formulation for pavements via principal components analysis","authors":"Ahmed Mohammed, T. Zayed, F. Nasiri, A. Bagchi","doi":"10.1108/ci-04-2022-0083","DOIUrl":"https://doi.org/10.1108/ci-04-2022-0083","url":null,"abstract":"\u0000Purpose\u0000This paper extends the authors’ previous research work investigating resilience for municipal infrastructure from an asset management perspective. Therefore, this paper aims to formulate a pavement resilience index while incorporating asset management and the associated resilience indicators from the authors’ previous research work.\u0000\u0000\u0000Design/methodology/approach\u0000This paper introduces a set of holistic-based key indicators that reflect municipal infrastructure resiliency. Thenceforth, the indicators were integrated using the weighted sum mean method to form the proposed resilience index. Resilience indicators weights were determined using principal components analysis (PCA) via IBM SPSS®. The developed framework for the PCA was built based on an optimization model output to generate the required weights for the desired resilience index. The output optimization data were adjusted using the standardization method before performing PCA.\u0000\u0000\u0000Findings\u0000This paper offers a mathematical approach to generating a resilience index for municipal infrastructure. The statistical tests conducted throughout the study showed a high significance level. Therefore, using PCA was proper for the resilience indicators data. The proposed framework is beneficial for asset management experts, where introducing the proposed index will provide ease of use to decision-makers regarding pavement network maintenance planning.\u0000\u0000\u0000Research limitations/implications\u0000The resilience indicators used need to be updated beyond what is mentioned in this paper to include asset redundancy and structural asset capacity. Using clustering as a validation tool is an excellent opportunity for other researchers to examine the resilience index for each pavement corridor individually pertaining to the resulting clusters.\u0000\u0000\u0000Originality/value\u0000This paper provides a unique example of integrating resilience and asset management concepts and serves as a vital step toward a comprehensive integration approach between the two concepts. The used PCA framework offers dynamic resilience indicators weights and, therefore, a dynamic resilience index. Resiliency is a dynamic feature for infrastructure systems. It differs during their life cycle with the change in maintenance and rehabilitation plans, systems retrofit and the occurring disruptive events throughout their life cycle. Therefore, the PCA technique was the preferred method used where it is data-based oriented and eliminates the subjectivity while driving indicators weights.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47379567","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}
Pub Date : 2022-12-07DOI: 10.15282/construction.v2i2.8710
Dr. Ahmad Fuzail Hashmi, M.S. Khan, M. Bilal, M. Shariq, A. Baqi
The popularity of concrete has resulted in the considerable consumption of natural resources and significant emission of CO2 gas into the atmosphere. The key constituents of the concrete are the cement and the natural aggregates. These major concrete elements are recommended to be replaced with other materials to solve sustainability issues. Hence, by-products like pulverized granular blast-furnace slag, fly ash, rice husk ash, silica fume, recycled coarse aggregates etc., are added to the concrete to utilize the waste products and produce sustainable concrete. Cement manufacturing accounts for 8 to 10% of total global CO2 emissions. The construction industry is progressively adopting green concrete use in buildings because of its inherent benefits and limitations of traditional concrete. Green concrete is available in a variety of forms such as high-volume fly ash concrete, alkali-activated concrete, recycled aggregate concrete, ultra-high performance concrete, geopolymer concrete etc. Green concrete has various environmental, technical, and economic advantages i.e., greater durability, enhanced workability, and pumpability, decreased permeability, controlled bleeding, higher acid resistance, and decreased plastic shrinkage cracking. These properties encourage faster concrete production, shorter curing times, lower construction costs, earlier project completion, lower maintenance costs, and longer service life of construction projects. This review article aims to comprehensively explain the fresh, hardened, and durability properties of green concrete and knowledge gaps in green concrete. The literature revealed that further research is needed to accurately assess the long-term properties, notably creep and shrinkage behaviour of structural or reinforced elements of green concrete.
{"title":"Green Concrete: An Eco-Friendly Alternative to the OPC Concrete","authors":"Dr. Ahmad Fuzail Hashmi, M.S. Khan, M. Bilal, M. Shariq, A. Baqi","doi":"10.15282/construction.v2i2.8710","DOIUrl":"https://doi.org/10.15282/construction.v2i2.8710","url":null,"abstract":"The popularity of concrete has resulted in the considerable consumption of natural resources and significant emission of CO2 gas into the atmosphere. The key constituents of the concrete are the cement and the natural aggregates. These major concrete elements are recommended to be replaced with other materials to solve sustainability issues. Hence, by-products like pulverized granular blast-furnace slag, fly ash, rice husk ash, silica fume, recycled coarse aggregates etc., are added to the concrete to utilize the waste products and produce sustainable concrete. Cement manufacturing accounts for 8 to 10% of total global CO2 emissions. The construction industry is progressively adopting green concrete use in buildings because of its inherent benefits and limitations of traditional concrete. Green concrete is available in a variety of forms such as high-volume fly ash concrete, alkali-activated concrete, recycled aggregate concrete, ultra-high performance concrete, geopolymer concrete etc. Green concrete has various environmental, technical, and economic advantages i.e., greater durability, enhanced workability, and pumpability, decreased permeability, controlled bleeding, higher acid resistance, and decreased plastic shrinkage cracking. These properties encourage faster concrete production, shorter curing times, lower construction costs, earlier project completion, lower maintenance costs, and longer service life of construction projects. This review article aims to comprehensively explain the fresh, hardened, and durability properties of green concrete and knowledge gaps in green concrete. The literature revealed that further research is needed to accurately assess the long-term properties, notably creep and shrinkage behaviour of structural or reinforced elements of green concrete.","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":"199 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88557523","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：