Construction Enterprises Research Articles

A solution and practice for combining multi-source heterogeneous data to construct enterprise knowledge graph.

The knowledge graph is one of the essential infrastructures of artificial intelligence. It is a challenge for knowledge engineering to construct a high-quality domain knowledge graph for multi-source heterogeneous data. We propose a complete process framework for constructing a knowledge graph that combines structured data and unstructured data, which includes data processing, information extraction, knowledge fusion, data storage, and update strategies, aiming to improve the quality of the knowledge graph and extend its life cycle. Specifically, we take the construction process of an enterprise knowledge graph as an example and integrate enterprise register information, litigation-related information, and enterprise announcement information to enrich the enterprise knowledge graph. For the unstructured text, we improve existing model to extract triples and the F1-score of our model reached 72.77%. The number of nodes and edges in our constructed enterprise knowledge graph reaches 1,430,000 and 3,170,000, respectively. Furthermore, for each type of multi-source heterogeneous data, we apply corresponding methods and strategies for information extraction and data storage and carry out a detailed comparative analysis of graph databases. From the perspective of practical use, the informative enterprise knowledge graph and its timely update can serve many actual business needs. Our proposed enterprise knowledge graph has been deployed in HuaRong RongTong (Beijing) Technology Co., Ltd. and is used by the staff as a powerful tool for corporate due diligence. The key features are reported and analyzed in the case study. Overall, this paper provides an easy-to-follow solution and practice for domain knowledge graph construction, as well as demonstrating its application in corporate due diligence.

Analysis of Technical Key Points in Road and Bridge Construction Management

With the rapid development of the country, the overall strength of the country is also increasing. With the rapid development of various industries in the country, more new technologies have been introduced and more new materials have been adopted in highway and bridge construction. At the same time, improving the quality of road and bridge construction and prolonging the service life of road and bridge engineering are also the primary tasks of construction enterprises. Therefore, in order to improve the quality of road and bridge engineering and extend its service life, it is necessary to improve the quality of road and bridge engineering on the premise of ensuring the construction focus. In the process of construction, the construction unit must effectively and reasonably choose the bridge construction technology, technological process and construction points that conform to itself, and only in this way can the quality of bridge engineering be guaranteed. In the process of road and bridge construction, the construction unit must comprehensively consider all aspects, carefully and conscientiously do every procedure, and take effective measures against various problems to ensure the construction quality, save costs and promote the development of road and bridge undertakings in China.

Mechanism of smart city policy on the carbon emissions of construction enterprises in the Yangtze River Economic Belt: a perspective of the PESTEL model and the pollution halo hypothesis

Most of the current studies on carbon emission reduction have been focusing on the urban and industrial levels, overlooking policy assessment studies on the carbon emissions of construction enterprises in the Yangtze River Economic Belt (YREB). To explore the impact of smart city policy (SCP) on the carbon emissions of construction enterprises, this paper constructs a theoretical framework model for evaluating SCP based on the Political-Economic-Sociocultural-Technological-Environmental-Legal (PESTEL) model and the perspective of the pollution halo hypothesis. In addition, this paper adopts panel data of 110 cities covered by the YREB from 2004 to 2021 and verifies the SCP impact mechanism on the carbon emissions of construction enterprises in the YREB through the difference-in-differences (DID) method, the propensity score matching (PSM) method, and the analysis of mediating effects and moderating effects. The conclusions are as follows: (1) the SCP significantly curbs the carbon emissions of the construction enterprises in the YREB pilot cities; (2) the SCP has a regional qualitative effect on the carbon emissions of the construction enterprises in the YREB and it curbs the carbon emissions of the construction enterprises in the upstream and downstream regions; (3) R&D and FDI are important transmission mechanisms; and (4) new urbanization construction has a positive moderating effect on the carbon emission reduction effect of the SCP on construction enterprises. As a research precedence, this paper reveals for the first time the mechanism of the SCP on the carbon emissions of construction enterprises in the YREB through the lens of the PESTEL model and the pollution halo hypothesis; the paper not only enriches the research related to urban policies but also provides new evidence from Chinese construction enterprises for assessing the impacts of pilot cities.

Methods and approaches to improving the efficiency of the construction business based on the experience of successful companies

The study systematises and summarises theoretical and practical methods and approaches to improving the efficiency of construction companies within the framework of the concept and strategies of sustainable development. Sustainable methods in construction provide an increase in revenues and economic value of companies, creating value for customers. Sustainable construction project management methods provide increased value to clients while maintaining acceptable costs. The construction business combines strategies and methods to save resources, materials, water and land. The financial dimension of efficiency involves the use of an economic valuation approach based on life-cycle costing, which allows forecasting construction costs from the operation phase through maintenance and replacement to the end of the service life. Based on the analysis of the cases of the world's leading construction companies, the author determines that the concept of sustainable development of the construction industry involves the implementation of a targeted and comprehensive approach to business activities. The practical significance of the research results lies in proving the efficiency of construction based on the experience of world leaders in the industry. Prospects for further research in this area are empirical studies of the economic efficiency of construction enterprises at the international and national levels.

How to promote the sustainable development of virtual reality technology for training in construction filed: A tripartite evolutionary game analysis.

In recent years, virtual reality training technology (VRTT) has been considered by many scholars as a new training method instead of traditional training (TT) to reduce unsafe behaviors ascribed to construction workers (CWs) and corporate accident rates. However, in this process, a conflict of interest arises among the government, construction enterprises (CEs), and CWs. Therefore, this study introduces a quantitative research method, the three-party evolutionary game and creatively combining them with the product life cycle (PLC) to solve this problem by analyzing the equilibrium and evolutionarily stable strategies of the system. Finally, collaborative players' decision-making behaviors and their sensitivity to critical factors are examined. This paper will illustrate these in each stage through numerical simulations. The results of the study indicate that the government plays a dominant role in the VRTT introduction stage. When the government gives CEs appropriate subsidies, CEs will eventually realize the importance of VRTT for CWs. Then the government will gradually reduce the amount of the subsidies in this process. In addition, we also find that the continually high cost will lead to negative policies by the government, which requires the active cooperation and attitude change from CEs and CWs. Ultimately, the government, CEs and CWs adopt the best strategy in the evolutionary process to facilitate the promotion, application and sustainability of VRTT in the construction industry.

Exploring the risk propagation mechanisms of supply chain for prefabricated building projects

Prefabricated building (PB) is an innovative construction method with significant advantages in environmental protection, energy saving, productivity increase, and quality improvement. The complexity of the prefabricated building project supply chain (PBPSC) also induces risks leading to the failure of PBP. Existing researches consider risks isolated and ignores the interactions between stakeholders of PBPSC that can lead to risk propagation and management failures. This study integrated epidemic models with complex networks to explore risk propagation mechanisms in PBPSC. The hierarchical structure of PBPSC was transited into a complex network for analyzing the features of the risk propagation process and the risk propagation capacity of initial infection nodes. The analysis results indicated that risk propagation and risk recovery were medium and often overlooked, which caused risk propagation in PBPSC. When major PBP contractors and construction enterprises were affected by risks, risk propagation was more likely to occur in PBPSC. This study was a meaningful attempt to analyze the risk propagation mechanisms from the perspective of complex networks in PBPSC. Based on the analysis results, this study revealed the critical risks and propagation characteristics of PBPSC for exploring the risk propagation mechanisms and response strategies to improve the risk response capacity of PBPSC.

Risk Management of Construction Enterprises – theoretical approach

The present article is devoted to the process of risk management for construction enterprises in Poland. The key problem for entrepreneurs is to determine the existence of risk, its scale and influence on the organisation of an enterprise, as well as a possible reaction to it. Polish construction industry is closely connected with the overall economic situation.

WAYS TO REDUCE THE PRODUCTION COST OF INDUSTRIAL ENTERPRISES IN STRENGTHENING FINANCIAL AUTHORITY

The article “Strengthening the financial potential by reducing the cost of production of industrial enterprises” considers the impact of the volume of industrial production on the financial potential of the Surkhandarya region, analyzes the main factors affecting the volume of production of construction enterprises, built econometric models and forecast scenarios until 2027. The role of each operating in the region enterprises is incomparable in strengthening the parameters of the budget, tax potential and financial resources of the region.

How to improve the smart construction technology usage behavior of construction enterprise employees? — TOE framework based on configuration study

PurposeDespite smart construction technology's great potential to improve the productivity of the architectural, engineering and construction (AEC) industry, the implementation of smart construction technology has failed to achieve the expected benefits due to the negative usage behaviors of construction enterprise employees. This study aims to identify the determinants and their configuration effects on the smart construction technology usage behavior (SCTUB) based on the Technology-Organization-Environment (TOE) framework. This study then verifies the practical paths to improve the employee's SCTUB from the configuration perspective.Design/methodology/approachA mixed-method approach involving survey and qualitative comparative analysis (QCA) is conducted in this study. Based on the detailed literature review and semi-structured interview, this study identifies the factors and proposes the TOE framework to determine the configuration conditions affecting employee's SCTUB and verify practical paths to promote this user behavior.FindingsThe TOE framework's technical, organizational and environmental elements are interdependent. The emergence of a high SCTUB is not determined by a single determinant but by configuration conditions. Four equifinal conditions (e.g. organization-technology type, technology-organization type, environment type and organization-technology balanced type) are verified to promote construction enterprise employee's SCTUB.Practical implicationsThe four verified configuration conditions could guide construction enterprises to formulate complementary strategies for promoting the construction enterprises' employees to implement smart construction technology and achieve the enterprise's digital transformation.Originality/valueThe inter-dependence of the three-dimension factors, namely technical, organizational and environmental elements are explored to enrich the literature on the TOE framework. Meanwhile, the configuration effects of these factors on usage behavior are identified, expanding the literature on the information technology acceptance model.

Procurement practices in international development projects: trends, networks and performances

PurposeInternational development projects are a dominant means by which aid is distributed to countries. Over the past 70 years, the distribution of trillions of dollars of development aid has been mediated by the United Nations (UN). However, most of this aid has failed to deliver the expected outcomes for which it was assigned. Nevertheless, a significant proportion of projects can be considered successful. Despite the glaring question as to which factors contribute to the success or failure of projects, no study has comprehensively documented the relationship between procurement mechanisms invoked to deliver aid projects and project outcomes. This study aims to assess this relationship.Design/methodology/approachLeveraging network analysis methodology, this study examines the World Bank data set of over 247,000 developmental contracts worldwide granted over the past 20 years. It identifies the range of procurement practices used and interrogates their ability to deliver satisfactory project outcomes.FindingsEleven prevalent practices are identified covering aid projects across twelve sectors. As might be expected, Africa is the largest recipient of aid, while the Middle East is the least. Overwhelmingly, international competitive bidding (ICB) is the leading procurement procedure, both in terms of contract number and total dollar value. However, ICB does not always deliver the best outcomes, with other, more boutique approaches sometimes doing better.Social implicationsThe breadth of this study, encompassing such a vast data resource, and generating such a rich pool of findings will now empower researchers to take the next important step, which is to progress this study in exploring why it is that certain procurement strategies have worked for some sectors, but not others. Countries, financial institutions, the UN and construction enterprises alike will be very interested in the results.Originality/valueThe spectrum of outcomes identified will be of interest to academics and practitioners alike wishing to investigate further the drivers behind the results described here.

The Impact of Green Organizational Capabilities on Competitive Advantage of Construction Enterprises in Vietnam: The Mediating Role of Green Innovation

The escalating environmental pollution primarily caused by construction enterprises has raised concerns about the urgent need for sustainable practices. This study aims to establish a novel framework of Green Organizational Capabilities (GOC) for construction enterprises in Vietnam. Additionally, it addresses the research gap regarding the relationship between GOC and Competitive Advantage (CA) while also exploring the mediating effect of Green Innovation (GI). Employing Structural Equation Modeling (SEM), we simultaneously model and estimate the intricate relationships among GOC, GI, and CA, which are often unobservable and measured indirectly by the Likert scale point. Through SEM, we account for measurement errors in observed variables and test hypotheses from a sample of 278 valid respondents. The findings reveal that (1) Organizational capabilities are being transformed into GOC, encompassing three key capabilities: Operational Capabilities (OC), Green Dynamic Capabilities (GDC), and Green Creativity (GC); (2) Only GDC and GC have a positive impact on CA; and (3) There is a mediating role of GI on the relation between GC, GDC, and CA. These results highlight the significance of focusing on developing GDC and GC to bolster green innovation practices and achieve a competitive edge. Construction companies can leverage these insights to enhance their sustainability efforts and seize opportunities for growth in the green economy.

Modelling of pricing, crashing, and coordination strategies of prefabricated construction supply Chain with power structure.

In the prefabricated construction industry, consumers are sensitive to the construction delivery time, and different power structures are very common. This research uses methods of Stackelberg game, Nash game and supply chain coordination, introduces a manufacturer crashing strategy into a prefabricated construction supply chain and investigates the assembler pricing, manufacturer crashing, and supply chain coordination strategies under three different power structures. It finds that adopting a crashing strategy improves the supply chain's profit, while the dynamic wholesale price contract achieves supply chain coordination. Meanwhile, when consumer time and price sensitivity are low, it is easier to achieve high profits in the supply chain under unequal power distribution. Conversely, the supply chain profit is higher in the case of a Nash game. This study innovatively introduces the thought of power structure and crashing strategy into the prefabricated construction supply chain, and provides the optimal price and delivery time under three different power structures for prefabricated construction enterprises and realizes supply chain coordination. The conclusion can provide decision suggestions for the prefabricated construction enterprises under different competitive environments.

Application of environmental protection investment benefit model of coal enterprises in environmental protection construction of smart city

The purpose is to strengthen the construction and application of smart environmental protection cities and establish the benefits model of enterprise environmental protection investment (EPI). This paper introduces its related concepts based on EPI and financial performance theory. It analyzes the current situation and existing problems of EPI, environmental information disclosure level (EADI), and financial performance of the coal industry and enterprises. The raw coal output and growth rate in China from 2015 to 2021, the output of major coal-producing areas from 2018 to 2021, and the revenue and profit statistics of coal enterprises from 2017 to 2021 are collected and studied. The quantitative indicators (financial performance, EPI, and EADI) are selected to verify the results. Descriptive statistics, correlation analysis, and moderating effect analysis are chosen to analyze the related explained, explanatory, intermediary, and control variables. Among them, there is an obvious positive correlation between the EPI and the EADI of coal enterprises, and the EPI of coal enterprises has a positive impact on financial performance. The EADI of coal enterprises plays a partial mediating effect on the impact of EPI on financial performance. Additionally, the correlation analysis determines the correlation between EPI, EADI, and the financial performance of coal enterprises. Finally, the regression analysis is carried out again by replacing variables. The regression results are consistent with the previous conclusions, increasing the empirical results' robustness. It is concluded that improving the EADI will give enterprises better future financial data.

An integrated fuzzy group decision-making model for construction enterprise contractor selection based on EDAS method and Information entropy

With the rapid development of China’s construction industry, the competition in the construction industry is becoming increasingly fierce. Enterprises need to continuously improve their competitiveness in the market. Some non-core businesses can be outsourced to professional contractors. At present, contractors have more and more influence on the operation and development of enterprises. Whether it is the construction period or the quality of the project, it will have a greater impact on the operation of the construction project. In the environment of increasingly fierce market competition and increasing project quality requirements, for the construction project contracting enterprises, in order to achieve the goal of low cost and high quality, it is necessary to select the most suitable contractor on the basis of comprehensive consideration of multiple factors. The construction enterprise contractor selection is a classical multiple attribute group decision making (MAGDM) problem. In recent years, the MAGDM problem has become an important research field in modern decision science. This paper extends the EDAS method to the 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs). On the basis of the original EDAS method, 2-tuple linguistic Pythagorean fuzzy EDAS (2TLPF-EDAS) is built for MAGDM. Finally, a case study for construction enterprise contractor selection and some comparative analysis with the other methods show that the new method proposed in this paper is effective, reasonable and accurate.

Evolutionary Game Analysis of Low-Carbon Transformation of Multi-Subject Construction Enterprises under Government Involvement

Evolutionary Game Analysis of Low-Carbon Transformation of Multi-Subject Construction Enterprises under Government Involvement

Systematic Training to Improve the Transformation of Migrant Workers into Industrial Workers within the Construction Sector in China

The transformation and modernization of the construction industry in China has introduced higher knowledge, skill, literacy, and innovation ability requirements for construction workers. Subsequently, more than 53 million migrant workers, comprising the main workforce of China’s construction sector, require transitioning into the roles of high-quality and highly skilled construction industry workers. As an important means to improve human capital, systematic training is the key method for the development of migrant workers into industrial workers within China’s construction industry. This paper constructs and verifies the theoretical model underlying the operating mechanism of the training system for migrant workers within the construction industry. As such, a structural equation model was established for the mechanism of transforming construction migrant workers into industrial workers. The results show that as the driving forces, the government and construction industry play important roles in promoting the operation of the training system for migrants in the construction industry as they provide internal vocational and social training. Construction enterprises have a direct role in promoting professional literacy training as one of the direct beneficiaries of construction workers’ training. Therefore, this paper provides a critical reference for policy promoting the transformation of migrant workers into industrial workers through appropriate training within China’s construction industry.

Optimizing collaborative decision-making of multi-agent resources for large-scale projects: from a matching perspective

PurposeIn recent decades, infrastructure has continued to develop as an important basis for social development and people's lives. Resource management of these large-scale projects has been immensely concerned because dozens of construction enterprises (CEs) often work together. In this situation, resource collaboration among enterprises has become a key measure to ensure project implementation. Thus, this study aims to propose a systematic multi-agent resource collaborative decision-making optimization model for large projects from a matching perspective.Design/methodology/approachThe main contribution of this work was an advancement of the current research by: (1) generalizing the resource matching decision-making problem and quantifying the relationship between CEs. (2) Based on the matching domain, the resource input costs and benefits of each enterprise in the associated group were comprehensively analyzed to build the mathematical model, which also incorporated prospect theory to map more realistic decisions. (3) According to the influencing factors of resource decision-making, such as cost, benefit and attitude of decision-makers, determined the optimal resource input in different situations.FindingsNumerical experiments were used to verify the effectiveness of the multi-agent resource matching decision (MARMD) method in this study. The results indicated that this model could provide guidance for optimal decision-making for each participating enterprise in the resource association group under different situations. And the results showed the psychological preference of decision-makers has an important influence on decision performance.Research limitations/implicationsWhile the MARMD method has been proposed in this research, MARMD still has many limitations. A more detailed matching relationship between different resource types in CEs is still not fully analyzed, and relevant studies about more accurate parameters of decision-makers’ psychological preferences should be conducted in this area in the future.Practical implicationsCompared with traditional projects, large-scale engineering construction has the characteristics of huge resource consumption and more participants. While decision-makers can determine the matching relationship between related enterprises, this is ambiguous and the wider range will vary with more participants or complex environment. The MARMD method provided in this paper is an effective methodological tool with clearer decision-making positioning and stronger actual operability, which could provide references for large-scale project resource management.Social implicationsLarge-scale engineering is complex infrastructure projects that ensure national security, increase economic development, improve people's lives and promote social progress. During the implementation of large-scale projects, CEs realize value-added through resource exchange and integration. Studying the optimal collaborative decision of multi-agent resources from a matching perspective can realize the improvement of resource transformation efficiency and promote the development of large-scale engineering projects.Originality/valueThe current research on engineering resources decision-making lacks a matching relationship, which leads to unclear decision objectives, ambiguous decision processes and poor operability decision methods. To solve these issues, a novel approach was proposed to reveal the decision mechanism of multi-agent resource optimization in large-scale projects. This paper could bring inspiration to the research of large-scale project resource management.

System dynamics simulation of occupational health and safety management causal model based on NetLogo

The occupational health and safety management factors of construction enterprises are critical influencing factors in their training management, and their causal principles are topics that warrant profound exploration. Drawing upon the conventional five factors, this study initially posited and authenticated a causal model among them, subsequently employing system dynamics on the NetLogo platform to dynamically simulate the model, and ultimately scrutinizing the interrelations and dynamic influence degree among the factors. The results show that the direct causes of management factors include human factors (weight coefficient of 0.583) and method factors (weight coefficient of 0.405), and environmental factors directly affect human factors (weight coefficient of 0.994), whereas material factors directly affect method factors (weight coefficient of 0.918). At the same time, it can be seen from the dynamic simulation results that the influence of human factors and method factors on management factors increases sharply in the nascent phase of the simulation cycle (the highest slope is .90), gradually decreases in the intermediary phase (the slope of the inflection point is .11), and is relatively stable in the final phase (the slope is less than 0.11). Three main conclusions have been drawn from this. Firstly, management factors are directly and positively affected by human factors and method factors respectively. Secondly, the interplay between diverse factors evinces a confluence of periodicity and exponential attributes. Thirdly, in each management cycle (set at 381 steps), the main focus is on controlling the causal factors in the early stages of management, with pivotal control points in steps 25 and 100, and the principal management factors comprising the management organization, operating procedures, and protective measures.

Theoretical framework for assessing construction enterprise green innovation efficiency and influencing factors: Evidence from China

This study explores strategies and mechanisms to improve the efficiency of green innovation in construction enterprises with a newly constructed theoretical framework. Firstly, a theoretical framework for measuring green innovation efficiency in construction enterprises and analyzing its influencing factors is constructed based on resource-based theory, institutional theory and asymmetric innovation theory. Secondly, the SBM model was applied to calculate the green innovation efficiency of construction enterprises in China from 2008 to 2019. Then, the effects of different factors on the green innovation efficiency of construction enterprises were empirically tested. The main findings are as follows. (1) There is significant regional heterogeneity in the green innovation efficiency of construction enterprises in China; (2) The openness of the market, the industrial structure of the construction industry and government support for innovation show significant positive effects on the green innovation efficiency of construction enterprises; (3) The large size of the construction industry and strict environmental policies negatively affect the green innovation efficiency of construction enterprises. This study provides a policy reference for the Chinese government to realize the green transformation of the construction industry through green innovation. In addition, it also provides experiences from China for other regions in the world that are facing carbon reduction problems in the construction industry through green innovation.

Construction of Construction Engineering Quality Supervision and Management System Based on BIM

The quality supervision and management of construction projects is an important content in the management of construction projects. The construction quality of construction projects is related to the reputation and image of construction enterprises and the vital interests of residents. If we neglect the quality supervision and management of construction projects, it will increase the quality risk of construction projects and cause very serious consequences. Therefore, this paper constructs the quality supervision and management system of construction projects based on BIM. Because of the huge amount of data in the whole high-rise building project, it is inevitable that data will be transmitted and shared in the model, and storage resources often need to be calculated, processed and deleted. The application of cloud technology can improve the data integration problem. The perfect construction management system of architectural engineering consists of four aspects: ideological guarantee system, organizational guarantee system, work guarantee system, institutional guarantee system and economic guarantee system. During the construction process, BIM related technologies are used to control the quality.