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Project claim management is the central pillar of the overlapping areas of contract administration, contract law and building regulations. Delays caused by inefficiency of the procedures designed to avoid disputes emerge at the pre-project phase and continue during construction. The quantum of research addressing this issue is not immediately trans...
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... finding parallelism between cases and classifying them according to causes, discipline, sector and frequency, we turn the focus on discovering correlations between disputes. The flowchart shown in Figure 2 shows the steps of data collection and analysis. Firstly, a profound study of construction-related litigations was performed (design, construction and operation phases). ...
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... • Estimation and Scheduling AI application models play a crucial role in accurately forecasting construction costs and project timelines [53]. Projects with inaccurate cost and time estimates can incur significant financial implications. ...
Artificial intelligence, as one of the emerging technologies introduced in Industry 4.0, has led to transformative improvements across various dimensions of industries. The construction industry, given its significance in advancing the economy and creating jobs for numerous workforces, is no exception in benefiting from this trend. This has resulted in facilitating project management and efficiency by specialized individuals utilizing advanced algorithms and artificial intelligence capabilities. The integration of artificial intelligence and the concepts of Construction 4.0 has led to advancements in digitalization and automation, optimizing resource allocation. One of the most significant achievements of combining these two concepts is that the construction industry, compared to other industries, has historically been slower in adopting various technologies. Therefore, this integration will be beneficial in better controlling project scheduling, costs, risks, hazards, waste production, and more. This study aims to assess the impact of utilizing artificial intelligence features in the construction industry, emphasizing the concepts derived from Construction 4.0, which could lead to a significant revolution in this sector. Recognizing the significance of this topic, a literature review was conducted on these concepts and their combination, based on which the impact of artificial intelligence technology in creating a more sustainable, smarter and more efficient future can be acknowledged.
... The challenges faced by people in the engineering and construction industry are relatively close to the experience of other industries, considering the various technologies that are based on them [17]. Changes in the construction industry have been largely accelerated by innovations and technology with the help of ERP 1 , BIM 2 , AutoCAD, cloud solutions, analytics, drones. ...
... The new environment is finally characterized by open minds, flexibility and collaborative dynamics that facilitate vertical and horizontal communication throughout supply and value chains [26]. The conventional relationship of a management system, in which workers are mainly controlled, gives way to active interaction, based on mutual knowledge transfer between management and operational levels, that enables collective decision-making processes [17]. Exploiting its benefits, in addition to significant investments, requires a change in corporate structure and culture: open-mind, flexible, collaborative environments and systematic discussions are necessary for innovation in established routines. ...
The construction industry is one of the most important industries, based on its impact on human societies and environment and global economy. Due to the rapid growth of the population in the world, which has led to limitation of energy resources, increase of constructions and advances of science in last few decades, various technologies are used in order to save the consumption of non-renewable energies, create more comfort and reduce costs. The effect of using new technologies on reducing the amount of energy consumption, fast and accurate implementation and reducing project costs in future buildings and their design is a subject that has attracted the attention of many architects and researchers. Today, the emergence of industry 4.0 revolution in the world and the efforts to find solutions to improve quality, increase the efficiency of materials and reduce the consumption of raw materials and energy have led to the use of new technology in the industry. Building design and construction is also one of the most important concerns in the current era, which is effective in economic, social and environmental fields. This study is a descriptive-analytical and qualitative survey. The tool for collecting information is library studies and review of previous researches. In the current research, the causes of the emergence of the industry 4.0 revolution and the effects and changes that occurred in economic, social and environmental fields were first studied. Then, the role of technology in the direction of the integrated and precise design and implementation of buildings in this period was examined. In the following, three prominent technologies that are used in the construction of digital twins have been discussed in order to conduct additional studies and evaluate their place and use in different countries. The results of the study indicate that the participation of people in the project by using modern science and technology plays a significant role in facilitating the design and planning process, the accurate implementation of building operations and the efficient management of the project.
... In recent years, the concept of Industry 4.0, referred to the ''fourth industrial revolution,'' has been presented, in which real-time sensor data, cyber-physical connection, and autonomous control are used to increase production [1]. Construction 4.0 and Building 4.0, used a similar concept to revolutionize processes in the Architecture, Engineering, and Construction (AEC) industry [2]. ...
The Internet of Things (IoT), a component of cyber physical systems, has been used in numerous businesses throughout this advanced era of industry 4.0. The development of IoT has become a common trend across industries. Many have already embraced the technology and benefited from it. However, just a few applications have been adopted in the construction industry yet. The application of IoT in the construction industry is investigated in the current study using a bibliometric review. Co-occurrence analyses were used to examine patterns of research interactions in 200 academic papers, including research, reviews, and conference papers, using network visualization and other methods based on the ScienceDirect database. Additionally, it describes the most recent IoT trend in the construction industry, which is essential to fully utilize and benefit from IoT's advantages. This study demonstrates that IoT, Building Information Modeling (BIM), Blockchain Technology (BCT) and Artificial Intelligence (AR) are the main study themes and shows that construction practitioners are aware of the advantages of IoT for enhancing the effectiveness of construction projects. The study provides a better understanding of IoT in the construction industry, assisting administrators to avoid challenges and develop education-based efforts to inform construction practitioners of the concept and significance of using IoT in this industry.
... The study aimed to test whether any predictive relationship or effect between constructs exists. PLS-SEM consists of two sub-models, i.e., measurement or outer model and structural or inner model (Rahnamayiezekavat et al., 2022). ...
Brimo is one of the digital banks owned by Bank Rakyat Indonesia, which has various features that can help the activities of its users. In banking companies, high-quality service to meet customer needs is a demand in surviving in a competitive business environment. It can be analyzed using the dimensions of the e-servqual. This study aims to analyze service and satisfaction and its impact on Brimo user loyalty by using modified e-servqual dimensions: efficiency, reliability, responsiveness, user-friendliness, personal need, assurance, security, and site organization. Research data collection using questionnaires with purposive sampling techniques obtained 406 respondents who matched the criteria. Data processing is carried out using the structural equation model-partial least squares. The research results, namely reliability, user-friendliness, assurance, security, and site organization have a positive and significant effect on customer satisfaction. Other variables, namely efficiency, responsiveness, and personal need, do not have a positive and significant effect on customer satisfaction. Furthermore, customer satisfaction has a positive and significant effect on customer loyalty. The implication of this study is that Brimo is advised to improve its user interface to be more well-organized to increase customer satisfaction.
The quality of building materials will affect the implementation effect of construction projects. To ensure the service capacity of building materials, it is necessary to do a good job in selecting suppliers. In the specific evaluation of building material suppliers, after evaluation, suppliers with poor quality are excluded to ensure the quality of material supply, reasonably improve the construction effect of the building project, meet the construction needs of the building project, and improve the quality of the building project. The selection and application of building material suppliers (BMSs) is a multiple-attribute group decision-making (MAGDM) technique. In this study, the 2-tuple linguistic neutrosophic number combined grey relational analysis (2TLNN-CGRA) technique is constructed based on the classical grey relational analysis (GRA) and 2-tuple linguistic neutrosophic sets (2TLNNSs). Finally, a numerical example for building material supplier selection was constructed and some comparisons is constructed to illustrate the 2TLNN-CGRA technique. The main contribution of this study is constructed: (1) the 2TLNN-CGRA technique is implemented to cope with the MAGDM under 2TLNSs; (2) the 2TLNN-CGRA technique is implemented in line with the 2TLNN Hamming distance (2TLNNHD) and 2TLNN Euclidean distance (2TLNNED) simultaneously under 2TLNSs; (3) the numerical example for building material supplier selection is implemented to show the 2TLNN-CGRA technique; and (4) some efficient comparative studies are constructed with several existing decision techniques.
Study This aim For know potency project disputes construction building government bank building in Indonesia. In study This done review systematic library done especially formerly in accordance with specified guidelines. inspection with reading and skimming is done sequentially to identify relevant publications. Analysis References done based on analysis content thematic, for implementation study This method used is correlation regression (research quantitative with questionnaire). Research results This state that inadequate planning and design ripe own very big influence lateness settlement upcoming project cause dispute project and quality poor/deficient work experienced influential big in discrepancy quality upcoming project cause dispute project. Also a factor external related change price and scarcity material raw own influence big reason happening dispute project.
Dünyada yaşanan hızlı değişimler ve gelişmeler her alanda olduğu gibi gayrimenkul sektörünü de etkilemektedir. Tüketicilerin değişen istek ve ihtiyaçları, beklentileri, tutumları gibi değişkenler konut seçimlerinde etkili olmaktadır. Aynı zamanda değişen sosyal hayat, yaşam koşulları, iklim değişikliği, deprem gibi pek çok faktör tüketicilerin konut tercihlerini değiştirebileceği için konut üreticileri tarafından dikkate alınması gereken hususlardır. Bu araştırmada Ankara ilinde ikamet eden 18 yaş üstü bireylerin mülkiyet özellikleri, mülkiyet çevresi, mülkiyet görünümü ve fiyat duyarlılığı dışsal değişkenlerinin konut satın alma davranışını nasıl etkilediğini ve demografik unsurların satın alma davranışında farklılık yaratıp yaratmadığını ortaya koymayı amaçlamaktadır. Araştırmanın yöntemi Kısmi En Küçük Kareler–Yapısal Eşitlik Modellemesi olarak kullanılmıştır. Araştırma verilerinden elde edilen bulgulara göre mülkiyet çevresinin ve fiyat duyarlılığının konut satın alma davranışını etkilediği, mülkiyet görünümü ve mülkiyet özelliklerinin ise etkilemediği sonucuna ulaşılmıştır. Katılımcıların demografik özelliklerine göre yapılan analiz bulgularına göre ise konut satın alımında medeni durum, meslek ve yaş değişkenlerinin farklılık göstermekte, cinsiyet, eğitim ve gelir düzeyi değişkenlerinin ise anlamlı bir farklılık göstermemektedir.
The construction of real estate projects is a large and complex system project, and the completion of the construction goals on time and with quality is the key to the sustainable development of construction enterprises. In the process of real estate project construction, the management performance of building decoration material suppliers will directly affect the efficiency of real estate enterprises. How to correctly evaluate the building material suppliers (BMSs) of real estate enterprises and establish a good partnership affects the economic benefits of the enterprise and the possibility of subsequent cooperation between the two sides, which has become one of the issues of importance to real estate enterprises. The selection and application of BMSs is the MAGDM. In this defined paper, the defined 2-tuple linguistic neutrosophic number (2TLNN) grey relational analysis (2TLNN-GRA) decision method is generated based on GRA and 2-tuple linguistic neutrosophic sets (2TLNSs). The 2TLNN-GRA method is generated for MAGDM. Finally, the decision example for BMSs selection is generated and some comparisons is generated.
