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Poor integrations and lack of collaboration are the major obstacles within the precast construction projects. In order to improve collaboration among precast supply chain stakeholders on the various phases of precast construction (planning, design, manufacturing, transportation, installation and construction), a system are needed for an effective c...
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... should be noted th at for effective implementation of SCM and to avoid the possible barriers, the supply chain parties, such as the general contractors and subcontractors, should properly formulate an efficient managerial structure, suitable organisational methods, technological applications and strategically planned and appropriate relat ions [18]. Figure 1 illustrates the construction supply chain framework consisting of phases, the parties involved and the diverse flow of informat ion, materials, funds, services and demands. The information intensive of the precast construction supply chain requires a system to integrate and collaborate effectively between parties. ...
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Citations
... The second reason that SMEs choose the cloud after cost savings is improved security and privacy. As a result, they can use ERP, CRM, SCM, etc.applications that would be exceedingly costly to operate internally [39]. It was discovered that cloud computing technology has enormous promise in delivering effective collaboration solutions in precast construction [40]. ...
Supply chain management is one of the most prominent areas that needs to incorporate sustainability to achieve responsible consumption and production (SDG 11).It has been identified that there are limited studies that have presented the significance of different Industry 4.0 technologies from the perspective of sustainable SCM. The purpose of this study is to discuss the role of Industry 4.0 technologies in the context of sustainable SCM, as well as to identify important areas for future research. The PRISM framework is followed to discuss the role and significance of sustainable SCM and the integration of Industry 4.0-enabling technologies such as the Internet of Things (IoT), cloud computing, big data, artificial intelligence (AI), blockchain, and digital twin for sustainable SCM. The findings of the study reveal that there are limited empirical studies for developing countries and the majority are emphasized in case studies. Additionally, a few studies have focused on operational aspects, economics, and automation in SCM. The current study is able to contribute to the significance and application of IoT, cloud computing, big data, AI, blockchain, and digital twin in achieving sustainable SCM in the future. The current study can be expanded to discuss the Industry 4.0-enabling technologies in analyzing sustainability performance in any organization using environmental, social, and governance (ESG) metrics.
... Therefore, this study attempts to fill this gap by evaluating the relationship between the implementation drivers of cloud computing and construction activities to achieve optimal project delivery. Clients' readiness [51,78] Industry-based factor D. 13 Competitive pressure from within the industry [20,24,79] D.14 Nature of industry [20,24,51,[78][79][80] D. 15 Technological advancement [24,50,51,54,79,80] ...
... Therefore, this study attempts to fill this gap by evaluating the relationship between the implementation drivers of cloud computing and construction activities to achieve optimal project delivery. Clients' readiness [51,78] Industry-based factor D. 13 Competitive pressure from within the industry [20,24,79] D.14 Nature of industry [20,24,51,[78][79][80] D. 15 Technological advancement [24,50,51,54,79,80] ...
Sustainability aspects should be adopted during all the decision-making stages of executing construction projects to gain maximum benefits without compromising the objective of such projects. Cloud computing has been a valuable tool for sustainable construction success in several countries over the last two decades. Cloud computing and its drivers have undoubtedly improved the sustainable success target of cost, quality, and time. However, cloud computing implementation in Nigeria’s construction industry is minimal. Consequently, the study aims to generate a decision support model to support a cloud computing implementation by looking into the relationship between cloud computing drivers and construction activities in Nigeria. This study’s data was obtained from previous literature and quantitatively augmented with a questionnaire survey. The data was obtained from questionnaires administered to one hundred and four construction practitioners in Lagos State. Thus, exploratory factor analysis (EFA) was used to validate the questionnaire survey results. However, to assess and validate the factors (drivers) constructed and analyze the relationships between cloud computing drivers and construction activities, partial least square structural equation modelling (PLS-SEM) method was used. An analysis of construction project activities was carried out through EFA, and it generated five main components: pre-contract stage, management, design and storage, estimation and communications, and finally, back-office activities. The study indicated that the implementation of cloud computing drivers had a significant impact on construction activities. The findings also revealed a weak relationship between cloud computing implementation and construction activities, with a 0.087 percent impact. Furthermore, the findings indicate that human satisfaction is the primary factor influencing cloud computing deployment, followed by organization, client acceptance, and industry-based factors. The significance of the findings can be used as a reference or standard for decision-makers to base their decisions on the cost efficiency of cloud computing and its capability to boost efficiency in the construction sector. This research contributes to current construction engineering management by enhancing knowledge of cloud computing implementation drivers and their implications on construction activities.
... Cloud computing contributed significantly to GSCM, it helps the decision-makers to reduce the uncertainty in the most important management area of the supply chain particularly, supply uncertainty, demand uncertainty and process uncertainty [12]. This technology provides a service represented by infrastructure, platform, and software with the aid of the Internet. ...
Due to the high demand for environmental sustainability and a green supply chain in recent years, industrial and service enterprises are striving to look for effective technologies and methodology to tackle the growing concerns and achieve environmental sustainability. Artificial Intelligence (AI) has emerged as one of the efficient techniques to enhance Green Supply Chain Management (GSCM) and achieve sustainable improvements. The study aims to explore and identify the main contribution of Artificial intelligence to GSCM growth and implementation through a systematic literature review. Five systematic processes are employed to evaluate and derive the latest published literature, using a set of inclusion and exclusion criteria to identify the papers in the GSCM field. The study addressed the research question and identified the most prominent AI technologies that contributed to GSCM. This paper provides insights through systematic analysis and synthesis through which researchers and practitioners will inspire to enhance GSCM growth.
... Studies have shown that the use of diverse digital technologies in the construction industry is rapidly transforming how projects are being delivered as well as the quality and pace of delivering construction services (Adzroe and Ingirige, 2014;Aghimien et al., 2018;Berger, 2016;Rüßmann et al., 2015). As a result of the benefits inherent in digital technologies, several studies have continued to explore their usage in the management of constructions projects (Abedi et al., 2013;Haung et al., 2020;Irizarry and Costa 2016;Zhou et al., 2018). However, there is a paucity of studies exploring digital tools to improve value management (VM) practices within the construction industry. ...
This study presents the result of an assessment of the drivers of digital technology diffusion in the value management (VM) process in the construction industry. This was done with a view to improving the use of digital technologies in the quest to create value for construction clients. The study adopted a quantitative research design which informed the use of a structured questionnaire administered to construction professionals that have participated in VM exercises within the South African construction industry. The data gathered were analysed using mean item score, standard deviation, Kruskal-Wallis H-test, and exploratory factor analysis. The study found that the use of digital tools to improve VM process is driven by three major components viz: (1) VM process requirement, (2) digital culture of the construction industry, (3) knowledge and understanding of the need for digital tools. The use of relevant technologies will help improve the speculation and creative phase of a VM workshop, the evaluation phase, the presentation of best
value alternatives, the gathering of preliminary information and the overall success of the VM workshop. This study provides a theoretical backdrop for future studies exploring the use of digital technologies for VM practices – an aspect that has not gained significant attention in VM discourse in the construction industry.
... In the same vein, while big data analytics (BDA) is helping in creating quick decision-making on projects, cloud computing and the internet of things (IoT), in conjunction with BIM, are rapidly improving the communication and collaboration on projects [2][3][4]. Based on the usefulness of these technologies, it is no surprise that studies have continued to focus on their use in the management of construction works [5][6][7][8]. ...
In the quest to promote constant value for money, value management (VM) has been
proposed and adopted within the construction industry of countries across the world. To improve the VM process for a more effective outcome, pervasive digital technologies can be employed throughout a project and in the VM process. However, developing countries like South Africa are still lagging in using these emerging technologies. Therefore, this study assessed the digital technologies that can improve the VM process and the barriers hindering their usage within the construction industry. The study adopted a postpositivism philosophical stance with a questionnaire used to gather quantitative
data from construction professionals that have participated in VM exercises within the South African construction industry. The data gathered were analysed using mean item score, standard deviation, the Kruskal-Wallis H-test, multiple linear regression and exploratory factor analysis. The study found with high predictive accuracy that digital technologies such as computer-based software, BIM, mobile devices, electronic meeting tools, cloud computing, augmented and virtual realities will significantly impact the overall success of VM practices. Furthermore, the barriers to the effective deployment of
these technologies in the VM process can be categorised into (1) cost and awareness, (2) complexities of the VM and digital tools, (3) the construction industry’s digital culture, and (4) the availability of technology and expertise. This study provides a theoretical backdrop for future studies exploring the use of digital technologies for VM practices—an aspect that has not gained significant attention in VM discourse in the construction industry.
... Digital transformation uses digital technologies to create new business processes and opportunities to meet the ever-increasing changes in the business environment [1]. Many organizations use digital transformation technologies (Industry 4.0) to enhance systems integrations [2]. ...
Industry 4.0 technologies are causing a paradigm shift in supply chain process management. The digital transformation of the supply chains provides enormous benefits to organizations by empowering collaboration among multiple internal and external organizations and systems. This study presents a narrative review explaining the existing knowledge on digital transformation in supply chain process management using text mining. It summarizes the existing literature to explain the current state of the art in supply chain digitalization. This comprehensive review identifies the most important topics and technologies and determines the future trends in this emerging field. We investigate the articles published in Web of Science and Scopus databases and use text mining techniques (clustering and topic modeling) on the article contents. Using VOS viewer, a bibliometric analysis of 395 articles with 12,700 references is analyzed. The contents of the articles are explored using text mining approaches. The synthesized results reveal that the most important topics in digital transformation are “sustainable supply chain management” and “circular economy and industry 4.0 technologies”. The study further discovers big data, data analytics, blockchain, artificial intelligence, machine learning, and the Internet of Things as the most critical technologies for facilitating supply chain digital transformation. Finally, an overlay heatmap analysis of the research articles found that digital transformation, supply chain management, industry 4.0, decision-making, and sustainability are emerging trends in supply chain digitalization.
... Companies' quest for environmental enhancement and determining social accountability ethics can promote CC's extensive application as an essential strategic phase. Muhammad Abedi and Norshakila Muhamad (2013) argued that the induction of CC in the administration of building schemes would foster the formation of viable building partners that might be more cohesive, beneficial and accelerate the practicality of working collectively professionally compared with old-style approaches. Using cloud systems by construction partners enables storing and accessing storage development data in real-time. ...
Purpose
The purpose of this paper is to assess the cloud computing (CC) methods and tools towards the achievement of construction project sustainability in Nigeria.
Design/methodology/approach
Data were obtained from the literature, complemented by a quantitative method using a questionnaire distributed among 104 respondents comprising mainly construction professionals in Nigeria. Subsequently, data were analysed using the exploratory factor analysis (EFA) method. In addition, the partial least square structural modelling was used to generate a model for the adoption of CC tools for sustainable construction.
Findings
EFA results indicated that the CC implementation tools could be categorised into four significant constructs: platform, communication, software and data storage. Results obtained from the model showed that platform tools were the most crucial tools for implementing CC in the construction industry.
Practical implications
The findings from this study are essential to the pursuit of perception of methods and tools connected to the vagueness of CC for future employees. In addition, the identified CC tools are expected to enhance the success of construction projects.
Originality/value
The novelty of this research work will be a benchmark or board for decision-makers to quality by adopting CC methods and tools in Nigeria’s construction projects to achieve their sustainable projects.
... Yin, 2009). Similarly, the researcher tried to explore the possibilities of cloud computing and building information modelling to get real-time information for Precast SCM (Muhammad Abedi, 2013). To support that in 2017 Wang et al proved that Precast SCM's efficiency can be enhanced by using real-time information (Wang Z., 2017) . ...
Precast construction (off-site construction) is recognized as most favorable method for infrastructure projects due to higher productivity, better quality, and its ability to be environmentally friendly and sustainability towards construction. In precast construction efficient supply chain management (SCM) is considered as key to project success. However, it is often subjected to issues such as lack of information sharing and coordination, real-time tracking of components, and long time in decision making. In current practices approach adopted to overcome these issues is with introduction of intermediaries. Yet frequent delays in execution and cost overruns are observed due to inefficiency of SCM. This study applies supply chain operation reference (SCOR) model to analyze and categorize the activities associated with overall precast SCM. Subsequently, the ground data is collected from the questionnaire survey to identify critical factors involved in each activity that causes SCM inefficiencies. To address the critical factors this research develops a unique private blockchain technology-based information management framework, expanding the possibilities of implementing blockchain in the domain of precast SCM.
... At the beginning of a building project, managers need to consider how they can achieve sustainability in all construction activities. Abedi et al. (2013) argued that the implementation of CC in the submission of building projects would lead to sustainable construction, which could be more useful and more unified and would improve the feasibility of operations more effectively. By running on cloud systems, developing partners will obtain and store production data in real-time. ...
Abstract
Purpose – The purpose of this paper is to investigate the applicability of cloud computing (CC) and the
challenges that contribute to more successful projects with a major sustainable construction development.
Design/methodology/approach – The previous studies provided information on CC implementation
barriers, which were then evaluated by 104 construction stakeholders through a questionnaire survey. As a
result, the exploratory factor analysis (EFA) approach was used to investigate these barriers. Furthermore, a
partial least square structural equation model was used to build a model of these barriers (PLS-SEM).
Findings – The EFA results revealed that the above-noted factors are in a close relation with three key
components, i.e. social, economic and communication. In addition, the proposed model results found the social
barrier a key challenge to the implementation of CC.
Research limitations/implications – The results from this study can help decision-makers to improve the
approaches regarding data fragmentation that has great effects on the execution of all construction projects.
The focus of the paper is to enhance the data fragmentation processes. In addition, the results would be useful
to strengthen the sustainability of existing construction projects by enhancing the implementation of CC.
Originality/value – The novelty of this research work will provide a solid foundation for critically assessing
and appreciating the different barriers affecting the adoption of CC.
... Cloud computing is a web based computing which has powerful computational architecture and it offers universal services to the shoppers and it's several benefits over grid and other computing [27]. Cloud computing technology provides to as a possible tool to support the performance of varied sector in a very supply chain management [20]. As well, a cloud computing emerges as a meaningful technology that would contribute to optimization the price and operational efficiency of the availability chain systems by providing infrastructure platform and software solutions for the full supply chain network through internet [14]. ...
Abstract: Cloud computing systems have emerged as a useful technology that contributes to this optimization SCI process by
providing infrastructure, platform, and software solutions for the whole supply chain via the internet. But in developing regions
like Ethiopia, there's a weak traditional, fragmental, non-integrated, weak, and underdeveloped supply chain process. There’s
still space for research on real industrial applications where Ethiopian firms strive for cloud-based integration and implement
new models and integration strategies practices in their supply chains. Thus, this study is designed to investigate the impacts of
cloud computing technology on the supply chain integration process to improve the performance and comparative advantage of
manufacturing industries in general, and the Ethiopian basic metal industry in particular. Using primary and literature survey data,
the study has been carried-out through SPSS correlation and regression analysis methods. The study shows that the adoption and
utilization of cloud-based services in supply chain integration leads to improvements in both the performance and
competitiveness of the firm at regional and global levels. In particular, the cloud-based supply chain integration strategies
provide enhanced resource utilization, reduce the constraints on information flow in the firm, increase product and service
visibility, and create flexibility within systems within supply chain partners, and manufacturing industries as a whole. According
to these investigations, cloud computing has a great impact on supply chain integrations so as to improve the performance and
comparative advantage of the firm. Thus, effective and efficient utilization of cloud-based supply chain integrations has a higher
positive impact on firm performance and competitiveness. Furthermore, this study demonstrates that data privacy, information
risk, security issues, cloud architecture, process customization, and trust among collaborators must be prioritized for long-term
supply chain systems and joint ventures in cloud-based supply chain integration.
Keywords: Supply Chain Integration, Cloud Computing, Comparative Advantage, Supply Chain Security,
Manufacturing Performance
