With the increasing scale and complexity of construction projects, a considerably growing number of studies have focused on managing supply chain scientifically to improve performance. To explore this field in depth, this paper uses the Bibliometrix R encapsulation tool to conduct a bibliometric analysis and visually display key findings on construction project supply chain management from 1998 to 2021. By using a series of indexes in econometric analysis, this paper introduces an overview of construction project supply chain research. Further, the current situation, historical evolution, and development of this field are explored using the content analysis of keywords. The results suggest that: (1) the number of publications in the field of the supply chain management of construction projects has increased over time and entered a period of rapid growth after 2015. During this period, articles related to ‘sustainability’, ‘prefabricated housing’, ‘reverse logistics’, and ‘lean management’ were widely cited by scholars, but the most frequently cited was ‘partnership’. (2) The keywords in the field of construction project supply chain management can be divided into ‘simulation research’, ‘sustainable research’, ‘method research’, ‘cooperation and integration’, ‘whole life cycle,’ ‘trust and communication’, and so on. The keywords ‘Radio Frequency Identification’ (RFID), ‘waste management’, ‘case study’, and ‘social responsibility’ are the current research hotspots. (3) The theme development of construction project supply chain management can be divided into supply chain integration and management, supply chain process design and optimization, the application of advanced technology, and sustainable supply chain management. This paper summarizes the main discoveries and developments in construction project supply chain management.
In construction projects, cost-related risks are challenges that need to be coped with. These cost-related risks interact with each other along with the project progress and involve different stakeholders, forming a stakeholder-cost risk network. Previous studies have discussed the stakeholder-cost risk network; however, few studies have considered its dynamic characteristics. Different from traditional methods, this study employed the social network analysis (SNA) to explore the key indicators of cost-related risks within the supply chain and identify the key risks and stakeholders across four project stages: the planning start-up stage, design preparation stage, construction period, and operations and maintenance period. From a horizontal point of view (i.e., network development process), the complexity of the stakeholder-cost risk network demonstrates a U-shaped development process during the project life cycle, ranging from simple to complex to simple. From a vertical point of view (i.e., network hierarchical characteristics), the important cost-based risks are diversified within each stage. The current study contributes to forming a better understanding of the stakeholder-cost risk network from a dynamic perspective as well as the crucial cost-based risks within each stage of the project. The findings provide implications for managers to better align cost-based risk intervention strategies, thereby facilitating the achievement of construction project success.
Cultivated land protection is the top priority of the national economy in China and the livelihood of people. Cultivated land protection policies (CLPP) play an important role in the protection of cultivated land. However, the process of dissemination of CLPP on social networks of farmers has problems, such as distortion of policy content, single dissemination channels, low level of farmers’ knowledge, and low dissemination efficiency. For revealing the characteristics of the dissemination of CLPP in the farmers’ social networks (FSN), this study combines the Suspected–Exposed–Infected–Recovered–Suspected (SEIRS) epidemic model to construct a model of CLPP dissemination suitable for FSN. In addition, a numerical simulation of the dissemination process of CLPP is conducted on the FSN, and the influence of the structural characteristics of the FSN and different model parameters on the dissemination of CLPP is analyzed. Results show that (1) the dissemination rate between farmers in FSN has a significant impact on the scale and speed of CLPP. A greater initial dissemination rate corresponds to faster speed and larger scale of CLPP dissemination. (2) A greater node degree in FSN means stronger dissemination ability for CLPP. Therefore, identifying structural holes (opinion leaders) in FSN can effectively promote the dissemination of CLPP. (3) The SEIRS model can dynamically describe the evolution law of CLPP dissemination process over time through the four states of farmer nodes of suspected, exposed, infected, and recovered. Numerical simulation results show that the immune degradation rate is proportional to CLPP. However, the direct immunization rate is inversely proportional. The increase in immune degradation rate can reduce the number of recovered farmers and improve the efficiency of CLPP dissemination. On the basis of the abovementioned conclusions, this study draws policy recommendations to increase the scale and speed of CLPP dissemination in China.
This work aims to reveal the current status of the city information modeling (CIM) from massive patent data, using the latent Dirichlet allocation (LDA) model, and quantify the evolution trends of future topics by the Hidden Markov Model (HMM). The results show that the CIM technologies can be divided into 17 topics. At the present stage, the technologies related to the Internet of things (IOT), big data and data management are the focus of the research and development (R&D) of CIM patents. Compared with the software technology, further development is needed for the hardware technology supporting CIM, particularly in terms of information acquisition (cameras and sensors), storage, and information transmitters. This study deepens the understanding of the CIM-related technical categories, and clarifies the direction of the development and evolution of CIM technology, providing a strong support to decision-makers in urban management.
This study applies affective events theory (AET) and resource dependence theory to introduce the moderating variable social network structure hole; a theoretical model is applied to better understand construction project managers’ emotional intelligence (EI), the innovative behavior of employees, and job performance. A questionnaire survey was conducted with Chinese construction project managers and their employees, with 169 valid questionnaires analyzed using structural equation modeling. The results show that (a) managers with high EI have more potential to make use of structural holes; (b) managers with high EI can stimulate employees’ innovative behavior, thus improving employees’ job performance; (c) structural holes can enhance the relationship between managers’ EI and employees’ innovative behavior and strengthen the relationship between EI and employees’ job performance. Using the lens of AET, this study examines the influencing path of managers’ EI on employees’ job performance from two aspects: emotion-driven behavior and judgment-driven behavior. The study also discusses the moderating mechanism of social network structure hole. The conclusion may help project managers better understand and make use of the influence of social network structure holes.
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