Pub Date : 2023-06-07DOI: 10.1108/jfmpc-12-2022-0063
Khalil Idrissi Gartoumi, M. Aboussaleh, S. Zaki
Purpose This paper aims to explore a framework for implementing Lean Construction (LC) to provide corrective actions for quality defects, customer dissatisfaction and value creation during the construction of megaprojects. Design/methodology/approach This paper presents a case study involving the construction of the Mohamed VI Tower in Morocco. It is the tallest tower in Africa, with 55 floors and a total height of 250 m. This study of the quality of the work and the involvement of the LC was carried out using the Define–Measure–Analysis–Improve–Control approach from Lean six sigma. It describes the Critical to Quality and analyses the root causes of quality defects, customer dissatisfaction and variation in the quality process. Findings Firstly, the results of this study map the causal factors of lack of quality as established in the literature. Secondly, the LC tools have reduced non-value-added sources of quality waste and, consequently, improved critical quality indicators. Research limitations/implications This document focuses on one part of the tower’s construction and is limited to a project case in a country where LC is rarely used. Originality/value This study reinforces the literature reviews, surveys and the small number of case studies that have validated the potential of LC and further clarifies future directions for the practical emergence of this quality improvement approach, especially for large-scale projects.
{"title":"Implementing lean construction to improve quality and megaproject construction: a case study","authors":"Khalil Idrissi Gartoumi, M. Aboussaleh, S. Zaki","doi":"10.1108/jfmpc-12-2022-0063","DOIUrl":"https://doi.org/10.1108/jfmpc-12-2022-0063","url":null,"abstract":"\u0000Purpose\u0000This paper aims to explore a framework for implementing Lean Construction (LC) to provide corrective actions for quality defects, customer dissatisfaction and value creation during the construction of megaprojects.\u0000\u0000\u0000Design/methodology/approach\u0000This paper presents a case study involving the construction of the Mohamed VI Tower in Morocco. It is the tallest tower in Africa, with 55 floors and a total height of 250 m. This study of the quality of the work and the involvement of the LC was carried out using the Define–Measure–Analysis–Improve–Control approach from Lean six sigma. It describes the Critical to Quality and analyses the root causes of quality defects, customer dissatisfaction and variation in the quality process.\u0000\u0000\u0000Findings\u0000Firstly, the results of this study map the causal factors of lack of quality as established in the literature. Secondly, the LC tools have reduced non-value-added sources of quality waste and, consequently, improved critical quality indicators.\u0000\u0000\u0000Research limitations/implications\u0000This document focuses on one part of the tower’s construction and is limited to a project case in a country where LC is rarely used.\u0000\u0000\u0000Originality/value\u0000This study reinforces the literature reviews, surveys and the small number of case studies that have validated the potential of LC and further clarifies future directions for the practical emergence of this quality improvement approach, especially for large-scale projects.\u0000","PeriodicalId":45720,"journal":{"name":"Journal of Financial Management of Property and Construction","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49610700","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 : 2023-06-05DOI: 10.1108/jfmpc-11-2022-0058
Taofeek Tunde Okanlawon, L. Oyewobi, R. Jimoh
Purpose Blockchain technology (BT) is a relatively new technological innovation in all industries, including the construction industry, that is used to improve supply chain management. Therefore, this study assesses the drivers for the implementation of BT in the construction supply chain management in Nigeria. Design/methodology/approach This study used a quantitative research approach, with a questionnaire survey administered to professionals in the Nigerian construction industry using the snowball sampling method, yielding 155 respondents. The collected data were analysed using descriptive and exploratory factor analysis (EFA) while Cronbach’s alpha was used to evaluate the reliability. Findings The analysis revealed that all the identified drivers ranked higher than the average mean item score, with level of awareness of the new technology and data management ranking topmost. The identified drivers were clustered into five categories using EFA: technological driver, social-economic driver, management driver, transparency and security driver and information driver. Research limitations/implications This research was carried out in the Southwestern region which is one of the six geo-political zones in Nigeria using a cross-sectional survey method. Practical implications The findings will be extremely useful to both professionals and practitioners in the Nigerian construction industry in gaining knowledge about the potential drivers to the implementation of BT in construction supply chain management. Originality/value The research categorized the drivers into technological, social-economic, management, transparency and security and information driver. It also identified that level of awareness of BT as the major driver in the implementation of BT in construction supply chain management.
{"title":"Evaluation of the drivers to the implementation of blockchain technology in the construction supply chain management in Nigeria","authors":"Taofeek Tunde Okanlawon, L. Oyewobi, R. Jimoh","doi":"10.1108/jfmpc-11-2022-0058","DOIUrl":"https://doi.org/10.1108/jfmpc-11-2022-0058","url":null,"abstract":"\u0000Purpose\u0000Blockchain technology (BT) is a relatively new technological innovation in all industries, including the construction industry, that is used to improve supply chain management. Therefore, this study assesses the drivers for the implementation of BT in the construction supply chain management in Nigeria.\u0000\u0000\u0000Design/methodology/approach\u0000This study used a quantitative research approach, with a questionnaire survey administered to professionals in the Nigerian construction industry using the snowball sampling method, yielding 155 respondents. The collected data were analysed using descriptive and exploratory factor analysis (EFA) while Cronbach’s alpha was used to evaluate the reliability.\u0000\u0000\u0000Findings\u0000The analysis revealed that all the identified drivers ranked higher than the average mean item score, with level of awareness of the new technology and data management ranking topmost. The identified drivers were clustered into five categories using EFA: technological driver, social-economic driver, management driver, transparency and security driver and information driver.\u0000\u0000\u0000Research limitations/implications\u0000This research was carried out in the Southwestern region which is one of the six geo-political zones in Nigeria using a cross-sectional survey method.\u0000\u0000\u0000Practical implications\u0000The findings will be extremely useful to both professionals and practitioners in the Nigerian construction industry in gaining knowledge about the potential drivers to the implementation of BT in construction supply chain management.\u0000\u0000\u0000Originality/value\u0000The research categorized the drivers into technological, social-economic, management, transparency and security and information driver. It also identified that level of awareness of BT as the major driver in the implementation of BT in construction supply chain management.\u0000","PeriodicalId":45720,"journal":{"name":"Journal of Financial Management of Property and Construction","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43416389","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 : 2023-03-20DOI: 10.1108/jfmpc-06-2022-0030
Haruna Sa'idu Lawal, H. Ahmadu, M. Abdullahi, M. A. Yamusa, Mustapha Abdulrazaq
Purpose This study aims to develop a building renovation duration prediction model incorporating both scope and non-scope factors. Design/methodology/approach The study used a questionnaire to obtain basic information relating to identified project scope factors as well as information relating to the impact of the non-scope factors on the duration of building renovation projects. The study retrieved 121 completed questionnaires from construction firms on tertiary education trust fund (TETFund) building renovation projects. Artificial neural network was then used to develop the model using 90% of the data, while mean absolute percentage error was used to validate the model using the remaining 10% of the data. Findings Two artificial neural network models were developed – a multilayer perceptron (MLP) and a radial basis function (RBF) model. The accuracy of the models was 86% and 80%, respectively. The developed models’ predictions were not statistically different from those of actual duration estimates with less than 20% error margin. Also, the study found that MLP models are more accurate than RBF models. Research limitations/implications The developed models are only applicable to projects that suit the characteristics and nature of the data used to develop the models. Hence, models can only predict the duration of building renovation projects. Practical implications The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it. Social implications The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it; it also helps clients to effectively benchmark projects duration and contractors to accurately estimate duration at tendering stage. Originality/value The study presents models that combine both scope and non-scope factors in predicting the duration of building renovation projects so as to ensure more realistic predictions.
{"title":"Modeling duration of building renovation projects","authors":"Haruna Sa'idu Lawal, H. Ahmadu, M. Abdullahi, M. A. Yamusa, Mustapha Abdulrazaq","doi":"10.1108/jfmpc-06-2022-0030","DOIUrl":"https://doi.org/10.1108/jfmpc-06-2022-0030","url":null,"abstract":"\u0000Purpose\u0000This study aims to develop a building renovation duration prediction model incorporating both scope and non-scope factors.\u0000\u0000\u0000Design/methodology/approach\u0000The study used a questionnaire to obtain basic information relating to identified project scope factors as well as information relating to the impact of the non-scope factors on the duration of building renovation projects. The study retrieved 121 completed questionnaires from construction firms on tertiary education trust fund (TETFund) building renovation projects. Artificial neural network was then used to develop the model using 90% of the data, while mean absolute percentage error was used to validate the model using the remaining 10% of the data.\u0000\u0000\u0000Findings\u0000Two artificial neural network models were developed – a multilayer perceptron (MLP) and a radial basis function (RBF) model. The accuracy of the models was 86% and 80%, respectively. The developed models’ predictions were not statistically different from those of actual duration estimates with less than 20% error margin. Also, the study found that MLP models are more accurate than RBF models.\u0000\u0000\u0000Research limitations/implications\u0000The developed models are only applicable to projects that suit the characteristics and nature of the data used to develop the models. Hence, models can only predict the duration of building renovation projects.\u0000\u0000\u0000Practical implications\u0000The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it.\u0000\u0000\u0000Social implications\u0000The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it; it also helps clients to effectively benchmark projects duration and contractors to accurately estimate duration at tendering stage.\u0000\u0000\u0000Originality/value\u0000The study presents models that combine both scope and non-scope factors in predicting the duration of building renovation projects so as to ensure more realistic predictions.\u0000","PeriodicalId":45720,"journal":{"name":"Journal of Financial Management of Property and Construction","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45205715","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 : 2023-03-06DOI: 10.1108/jfmpc-12-2021-0070
I. Akomea-Frimpong, X. Jin, R. Osei-Kyei, Fatemeh Pariafsai
Purpose Public–private partnership (PPP), a project financing arrangement between private investors and the public sector, has revolutionized the approach to the funding and development of public infrastructure worldwide. However, the increasing cases of financial risks and poor financial risk management related to the model threaten the sustainability and financial success of PPP projects leading to huge financial investment losses. This study aims to review existing literature to establish the key measures to control the financial risks of sustainable PPP projects. Design/methodology/approach A PRISMA-compliant systematic literature review method was used in this study. Data were sourced from academic databases consisting of 56 impactful peer-reviewed journal articles. Findings The review outcomes demonstrate 41 critical factors (measures) in mitigating the financial risks of sustainable PPP projects. They include minimum revenue guarantee, strategic alliance with private investors, financial transparency and accountability and sound macroeconomic policies. The principal results of the study were categorized and conceptualized into a financial risk management maturity model for sustainable PPP projects. Lastly, the study reveals that further studies and project policies must focus more on addressing financial challenges relating to climate risks, and health and safety concerns such as COVID-19 outbreak that have negative impacts on PPP projects. Research limitations/implications The results provide essential research gaps and directions for future studies on measures to mitigate the financial risks of sustainable PPP projects. However, this study used small but significant existing publications. Practical implications A checklist and a conceptual maturity model are provided in this study to help practitioners to learn and improve upon their practices to mitigate the financial risks of sustainable PPP projects. Originality/value This study contributes to managerial measures to reduce huge losses in financial investments of PPP projects and the attainment of sustainability in public infrastructure projects with a financial risk maturity model.
{"title":"Critical managerial measures on financial risks of sustainable public–private partnership projects: a PRISMA review","authors":"I. Akomea-Frimpong, X. Jin, R. Osei-Kyei, Fatemeh Pariafsai","doi":"10.1108/jfmpc-12-2021-0070","DOIUrl":"https://doi.org/10.1108/jfmpc-12-2021-0070","url":null,"abstract":"\u0000Purpose\u0000Public–private partnership (PPP), a project financing arrangement between private investors and the public sector, has revolutionized the approach to the funding and development of public infrastructure worldwide. However, the increasing cases of financial risks and poor financial risk management related to the model threaten the sustainability and financial success of PPP projects leading to huge financial investment losses. This study aims to review existing literature to establish the key measures to control the financial risks of sustainable PPP projects.\u0000\u0000\u0000Design/methodology/approach\u0000A PRISMA-compliant systematic literature review method was used in this study. Data were sourced from academic databases consisting of 56 impactful peer-reviewed journal articles.\u0000\u0000\u0000Findings\u0000The review outcomes demonstrate 41 critical factors (measures) in mitigating the financial risks of sustainable PPP projects. They include minimum revenue guarantee, strategic alliance with private investors, financial transparency and accountability and sound macroeconomic policies. The principal results of the study were categorized and conceptualized into a financial risk management maturity model for sustainable PPP projects. Lastly, the study reveals that further studies and project policies must focus more on addressing financial challenges relating to climate risks, and health and safety concerns such as COVID-19 outbreak that have negative impacts on PPP projects.\u0000\u0000\u0000Research limitations/implications\u0000The results provide essential research gaps and directions for future studies on measures to mitigate the financial risks of sustainable PPP projects. However, this study used small but significant existing publications.\u0000\u0000\u0000Practical implications\u0000A checklist and a conceptual maturity model are provided in this study to help practitioners to learn and improve upon their practices to mitigate the financial risks of sustainable PPP projects.\u0000\u0000\u0000Originality/value\u0000This study contributes to managerial measures to reduce huge losses in financial investments of PPP projects and the attainment of sustainability in public infrastructure projects with a financial risk maturity model.\u0000","PeriodicalId":45720,"journal":{"name":"Journal of Financial Management of Property and Construction","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47683476","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 : 2023-02-14DOI: 10.1108/jfmpc-03-2022-0016
Alice Stewardson, D. Edwards, E. Asamoah, C. Aigbavboa, J. Lai, H. El-Gohary
Purpose The UK government has elaborated the effect of late payment on the economy, with its impact on the construction sector being particularly pronounced. This paper aims to evaluate the late payment epidemic that persists within the construction industry, specifically analysing the effectiveness of government-led voluntary payment initiatives. Design/methodology/approach A mixed philosophical lens is adopted that incorporates both pragmatism and post-positivism to examine the late payment phenomena. Couched within deductive reasoning and a case study strategy, a questionnaire survey was conducted to elicit responses from one-hundred construction professionals. Elucidating upon respondents’ perceptions of the UK’s late payment epidemic, a comparative analysis was undertaken of upstream (main contractor) and downstream (subcontractors/suppliers) contractors through Cronbach’s alpha, descriptive statistics, independence chi-square test, Kruskal–Wallis test and Mann–Whitney U test. Findings Emergent findings reveal that in practice, the monitoring and enforcement of government-led voluntary payment initiatives has been unprosperous with numerous contractors being forced to adopt indefensibly poor and punitive payment practices. Survey responses and extant literature substantiate and underscore the industry’s need to strengthen voluntary government-led payment initiatives. To create a responsible payment culture, any future code created should be mandatory and enforceable as a self-regulating approach has failed dismally. The work concludes with practical additional measures that could be introduced to create a responsible payment culture and promote ethical trading within the UK construction industry. Originality/value This paper constitutes a novel vignette of, and reflection upon, contemporary practice in this area of construction finance and serves to emphasise that very little has changes in the sector despite numerous UK government led reports and interventions.
{"title":"The late payment epidemic in UK construction","authors":"Alice Stewardson, D. Edwards, E. Asamoah, C. Aigbavboa, J. Lai, H. El-Gohary","doi":"10.1108/jfmpc-03-2022-0016","DOIUrl":"https://doi.org/10.1108/jfmpc-03-2022-0016","url":null,"abstract":"\u0000Purpose\u0000The UK government has elaborated the effect of late payment on the economy, with its impact on the construction sector being particularly pronounced. This paper aims to evaluate the late payment epidemic that persists within the construction industry, specifically analysing the effectiveness of government-led voluntary payment initiatives.\u0000\u0000\u0000Design/methodology/approach\u0000A mixed philosophical lens is adopted that incorporates both pragmatism and post-positivism to examine the late payment phenomena. Couched within deductive reasoning and a case study strategy, a questionnaire survey was conducted to elicit responses from one-hundred construction professionals. Elucidating upon respondents’ perceptions of the UK’s late payment epidemic, a comparative analysis was undertaken of upstream (main contractor) and downstream (subcontractors/suppliers) contractors through Cronbach’s alpha, descriptive statistics, independence chi-square test, Kruskal–Wallis test and Mann–Whitney U test.\u0000\u0000\u0000Findings\u0000Emergent findings reveal that in practice, the monitoring and enforcement of government-led voluntary payment initiatives has been unprosperous with numerous contractors being forced to adopt indefensibly poor and punitive payment practices. Survey responses and extant literature substantiate and underscore the industry’s need to strengthen voluntary government-led payment initiatives. To create a responsible payment culture, any future code created should be mandatory and enforceable as a self-regulating approach has failed dismally. The work concludes with practical additional measures that could be introduced to create a responsible payment culture and promote ethical trading within the UK construction industry.\u0000\u0000\u0000Originality/value\u0000This paper constitutes a novel vignette of, and reflection upon, contemporary practice in this area of construction finance and serves to emphasise that very little has changes in the sector despite numerous UK government led reports and interventions.\u0000","PeriodicalId":45720,"journal":{"name":"Journal of Financial Management of Property and Construction","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49515202","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}