Project Performance Research Articles

An Analysis of Critical Processes and Employee Challenges at Velmurugan Heavy Engineering Industries (VHEI) Private Limited, Thanjavur

This study investigates the critical processes and challenges faced by employees at Velmurugan Heavy Engineering Pvt. Ltd., located in Sengipatti, Thanjavur. The aim is to identify areas for improvement and provide recommendations to enhance employee performance and organizational effectiveness. Employing a mixed-method approach combining qualitative and quantitative methods, data were collected extensively through surveys, interviews, and observations from a representative sample across departments and hierarchical levels. The findings highlight critical areas such as project management, quality control, communication channels, and performance evaluation. While the organization demonstrates competence in these areas, gaps exist, particularly in streamlined communication and efficient project management. The study also uncovers challenges including unclear role expectations, limited professional development opportunities, inadequate work-life balance, and insufficient recognition and rewards. Recommendations are offered to strengthen communication channels, enhance project management practices, implement employee development programs, promote work-life balance initiatives, and establish a robust recognition and rewards system. Addressing these challenges and implementing recommended strategies has led to improved employee satisfaction, productivity, and overall organizational performance. This study provides valuable insights for Velmurugan Heavy Engineering Pvt. Ltd. to cultivate a positive work environment and foster a highly engaged workforce, contributing to sustainable growth and success

Procurement contract risks management and the performance of force account construction projects in Tanzania: does the regulatory framework matter?

Purpose The construction sector plays a vital role in the economic progress of every nation, including Tanzania. Notwithstanding its significance, the industry experiences poor performance. This study aims to assess the impact of procurement contract risk management on the performance of force account (FA) construction projects, using a regulatory framework as a moderator. Design/methodology/approach The cross-sectional research design was used, and data was collected by using a structured questionnaire. The study employed a sample size of 318 respondents to analyse data by using partial least square structural modelling (PLS-SEM). Findings The findings revealed that supply risk management, procurement internal control system and procurement contract administration influence the performance of FA construction projects. Additionally, the study confirms that the regulatory framework strengthens the relationship between the procurement internal control system and procurement contract administration with the performance of FA construction projects. Therefore, procurement contract risk management, as moderated by the regulatory framework, plays a significant role towards the performance of FA construction projects. Practical implications These findings have significant implications for practitioners and policymakers involved in FA construction projects in the public sector, as they highlight the importance of procurement contract risk management in achieving the successful performance of FA construction projects. Originality/value This study contributes to the ongoing discussion about the performance of construction projects, especially those under the FA procurement. It also contributes to the literature on public construction projects in developing countries.

Employer Fraud and Toxic Leadership and Collusion with PMC Operations: Implications for a Dual Metro Project in UP, India

This research is concentrated on the opinions of a PMC/Engineer staff of a dual metro construction project in UP, India, in relation to project fraud and underpinned by toxic leadership of the Employer. The research study employed a qualitative/interpretive methodology focused on grounded theory to extract meaning associated with the views and practices regarding the Employer and PMC Core Group collusion to negatively affect the project performance and management competence. The research scope was PMC/Engineer staff as part of the joint venture, contracted by the Employer, to oversee the project management and construction. The targeted population was made up of eleven (11) respondents, from a Project Management JV (PMC), located across a dual metro construction project having similar experiences of toxic leadership and fraud. The research outcomes comprised of four (4) main-themes - Employer, PMC Core Group, PMC, and ED; with Fourteen sub-themes (14) – illustrated by 276 discussion targets.The research outcome has raised important issues of project Employer derived fraud, where toxic leadership was used to deflect from the fraudulent activities underpinned by a PMC Core Group, acting as sycophantic fraud “enablers”. These included harassment, creation of fear, arrogation of contract, and a sense of impunity of the Employer MD/DWI and the PMC Core Group. The lack of risk management and project governance, attributed to significant procedural failures of the project stakeholders, including the European donor, has raised clear evidence of ongoing and associated fraud.

Application of the maturity model for collaborative scheduling for construction projects

PurposeThis paper introduces the weighting, analysis and validation method used in the development of the Maturity Model for Collaborative Scheduling (MMCS). The scoring and ranking process introduced by the MMCS fills a gap in the literature by supporting the selection of collaborative scheduling (CS) practices that yield more weight toward the achievement of higher maturity levels in the development and implementation of CS. The ranking process can then be used during pre/post project execution to track collaborative scheduling in practice against the model’s weighting and provide the project team with constructive feedback and actionable steps for reaching the next highest level of collaboration.Design/methodology/approachThe MMCS, which focuses on five pillars (key areas of interest for CS) and related swim lanes (specific attributes), covers a broad range of areas in the construction industry and was coded into a survey. The relative weights of pillars and swim lanes were then established using the Delphi method with the group of subject matter experts (SMEs), analyzed using multi-objective decision analysis (MODA) and validated using 241 answers to a survey with questions drawn from the MMCS, including organizations across the industry in the United States.FindingsThe project scoring defines bounds for bronze, silver and gold levels of collaboration in scheduling. Project evaluations can then be used to identify areas for continuous improvement and enhanced collaboration. We offer recommendations and best practices for project improvement.Originality/valueTwo original contributions resulted from this work: (1) a method to elicit weights based on a combination of Delphi, MODA and survey methods was used to develop and validate a scale with three different maturity levels to support the use and continuous improvement of CS practices and (2) a validated model was used to assess the maturity level of CS in construction projects alongside specific recommendations to move upward in terms of maturity. In practice, project leaders can use this model to assess project performance, advance the project’s maturity and guide continuous improvement efforts for enhanced collaboration.

VEIDEA: A Comprehensive Framework for Implementing Building Information Modeling-Based Value Engineering Within a Common Data Environment in Construction Projects

The Architecture, Engineering, and Construction (AEC) industry faces significant global challenges, including frequent project delays, budget overruns, and inadequate stakeholder collaboration. To address these issues, Value Engineering (VE) and Building Information Modeling (BIM) have been increasingly used in large-scale, complex construction projects. Although many studies highlight the benefits of integrating VE with BIM, its full practical potential has not yet been realized. This study aims to investigate the integration of VE and BIM within a Common Data Environment (CDE) to improve decision making and project outcomes. A comprehensive framework was developed, consisting of four interconnected modules: (1) Creating the CDE, (2) Developing the BIM Model, (3) Implementing Value Engineering, and (4) Conducting a Value Engineering Study. Central to this framework is the introduction of the VEIDEA” data bank, a structured system based on the OmniClass classification, which stores and organizes VE ideas. Additionally, the framework incorporates the Analytical Hierarchy Process (AHP) to automate the evaluation phase, assisting designers and VE teams in making data-driven decisions on design alternatives. Empirical results from a case study of an office building show significant cost savings, with a 20% reduction in reinforced concrete (RC) slab costs and a 39% reduction in flooring material costs. These findings demonstrate the potential for integrating VE and BIM to enhance cost-effectiveness and overall project performance. This study offers a novel approach to optimizing project collaboration, decision making, and efficiency in the AEC industry.

Project management, process control and organizational coordination of construction projects: Basis for construction project performance framework

Project management, process control and organizational coordination of construction projects: Basis for construction project performance framework

Optimal weighting strategies for maximizing contrast-to-noise ratio in photon counting CT images.

Photon counting detectors (PCDs) with energy discrimination capabilities have the potential to generate grayscale CT images with improved contrast-to-noise ratio (CNR) through optimal weighting of their spectral measurements. This study evaluates the CNR performance of grayscale CT projections and images generated from spectral measurements of PCDs using three energy-weighting strategies: pre-log weighting, post-log weighting, and material decomposition (MD) weighting. This study provides the expressions of optimal weights and maximum achievable CNR of these energy-weighting strategies, which only require the knowledge of detected bin counts and do not require information of PCD energy responses or imaging techniques. We defined and solved a generalized eigenvalue problem to obtain the maximum achievable CNR in the projection domain for low-contrast tasks using three energy-weighting strategies: pre-log weighting (weighted sum of energy bin counts), post-log weighting (weighted sum of line integrals), and MD weighting (weighted sum of basis material thicknesses, which is equivalent to virtual monoenergetic images [VMIs]). These expressions only contain energy bin counts from PCD measurements. We used a realistic PCD energy response model to simulate the detected bin counts and conducted Monte Carlo simulations of different contrast tasks and phantoms to evaluate the projection- and image-domain CNR performance of these energy-weighting strategies. Additionally, the total counts method (a special case of pre-log weighting with unity weights) was included for comparison. We also conducted Gammex head and body phantom scans on an edge-on-irradiated silicon PCCT prototype to evaluate the image-domain CNR performance of these energy-weighting strategies. The results show that pre-log, post-log, and MD weighting strategies generate approximately equal projection-domain maximum achievable CNR, with a difference of less than 2%, and outperform the total counts method. These three energy-weighting strategies also generate approximately equal image-domain maximum CNR when the contrast task is located at the center of a homogeneous phantom. Pre-log weighting generates the highest image-domain CNR for an off-center contrast task location or inhomogeneous phantoms while also outperforming the total counts method. We derived the expression of projection-domain maximum achievable CNR using three energy-weighting strategies. Our results suggest that using pre-log weighting strategies enables fast grayscale CT image generation with high CNR from spectral PCD measurements for inhomogeneous phantoms and off-center region of interests (ROIs).

Effect of Monitoring and Evaluation Practices on Performance of Construction Projects in Gasabo District- Rwanda

Purpose: The purpose of this study was to assess the effect of monitoring and evaluation practices on performance of construction project in Gasabo district, Rwanda. The specific objectives of this study were to examine the effect of M&E planning, M&E Staff skills management and M&E ICT management on performance of construction projects in Gasabo district, Rwanda. Methodology: A descriptive research design was used. Two hundred sixty-three respondents randomly sampled from district, sectors and cells staff and the general local population who are involved in project planning of the construction projects at Gasabo district was interviewed. The data was collected using administered questionnaire and analyzed using SPSS 16. The study chosen to use qualitative and quantitative research methods to explore the topic and thus used multiple regression analysis such as ANOVA, Pearson correlation and descriptive analysis to estimate the strength relationship between the independent variables to the dependent variables. Findings: The result of the study showed that majority of the respondents were in agreement to the fact that the performance of construction project of Gasabo district was influenced by Monitoring and Evaluation practices. The findings indicate that M&E planning had a positive and significant effect on project performance with (β1=0.170, CI 0.010, 0.350, t=2.080, P<.001). Monitoring and Evaluation Staff skills management with β2=-.016, CI -.160, 0.131, t=-.196, P>.001), has no significant effect on project performance of construction project of Gasabo district. Finally, M&E ICT management performance had a positive and significant effect on construction project performance with (β3= 0.450, CI 0.393, 0.690, t=7.190, P<.001). Unique Contribution to Theory, Practice and Policy: The researcher recommends that monitoring and evaluation should be a priority in the projects for its relevancy; and all bodies dealing with construction projects should make arrangements for monitoring and evaluation practices due to make monitoring and evaluation operations successful.

Evaluation of CMIP5 and CMIP6 Models Based on Weather Types Applied to the South Atlantic Ocean

ABSTRACTChanges in climate in the South Atlantic region and adjacent regions have been described in numerous works using projections from global climate models from CMIP5 and CMIP6. This paper presents an evaluation of the ability of these models to reproduce the atmospheric circulation patterns (weather types) and their seasonal and inter‐annual variability. The analyses are performed based on the probability of occurrence of weather types in the historical period and in future projections. The scatter index and the relative entropy are the statistical parameters used to evaluate the models' performance in the historical period. Future projections consist of RCP2.6, 4.5 and 8.5 scenarios for the CMIP5 models and the SSP126, 245, 370 and 585 scenarios for the CMIP6 and are assessed at different time intervals: short term (2015–2039), mid‐term (2040–2069) and long term (2070–2100). The performance of projections is measured by analysing their consistency, that is, based on the similarity between projections of the same scenario in different models. The results show that the reproduction of the probability of occurrence of historical weather types and their seasonal and interannual variability was better performed by ACCESS1‐0, HadGEM2‐ES, HadGEM2‐CC, CMCC‐CM and MPI‐ESM‐P when assessing the models from CMIP5, and by HadGEM3‐GC31‐MM, ACCESS‐ESM1‐5, ACCESS‐ CM2 and MRI‐ESM‐P when assessing the models from CMIP6. As for future projections, only the BESM‐AO2‐5, GFDL‐ESM4 and HadGEM3‐GC31‐MM models showed inconsistency in one or more scenarios.

Performance Evaluation of CMIP6 Climate Model Projections for Precipitation and Temperature in the Upper Blue Nile Basin, Ethiopia

The projection and identification of historical and future changes in climatic systems is crucial. This study aims to assess the performance of CMIP6 climate models and projections of precipitation and temperature variables over the Upper Blue Nile Basin (UBNB), Northwestern Ethiopia. The bias in the CMIP6 model data was adjusted using data from meteorological stations. Additionally, this study uses daily CMIP6 precipitation and temperature data under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios for the near (2015–2044), mid (2045–2074), and far (2075–2100) periods. Power transformation and distribution mapping bias correction techniques were used to adjust biases in precipitation and temperature data from seven CMIP6 models. To validate the model data against observed data, statistical evaluation techniques were employed. Mann–Kendall (MK) and Sen’s slope estimator were also performed to identify trends and magnitudes of variations in rainfall and temperature, respectively. The performance evaluation revealed that the INM-CM5-0 and INM-CM4-8 models performed best for precipitation and temperature, respectively. The precipitation projections in all agro-climatic zones under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios show a significant (p < 0.01) positive trend. The mean annual maximum temperature over UBNB is estimated to increase by 1.8 °C, 2.1 °C, and 2.8 °C under SSP1-2.6, SSP2-4.5, and SSP5-8.5 between 2015 and 2100, respectively. Similarly, the mean annually minimum temperature is estimated to increase by 1.5 °C, 2.1 °C, and 3.1 °C under SSP1-2.6, SSP2-4.5, and SSP5-8.5, respectively. These significant changes in climate variables are anticipated to alter the incidence and severity of extremes. Hence, communities should adopt various adaptation practices to mitigate the effects of rising temperatures.

Mapping of Risks and Firm Performance: Insights from Small Scale Garment Enterprises in Eldoret Town, Uasin Gishu County, Kenya

Small-scale garment enterprise projects are pivotal in Kenya’s economic development, contributing significantly to employment and poverty alleviation. These projects often face challenges that impede their growth and performance. The paper seeks to establish the effect of mapping risks on the performance of small-scale garment enterprise projects in Eldoret town. An explanatory research design was used and the target population consisted of 386 small-scale garment enterprise owners. A sample size of 196 small-scale garment enterprise projects in Eldoret town was selected using Yarmane formula. The respondents were selected using stratified sampling method and data was collected using questionnaires. The analysis was done using both descriptive and inferential statistics. Result showed that scheduling milestones had statistically positive effect on the performance of garment enterprise projects (β 0.947, p<0.05). The paper concludes that mapping of risks is critical processes of ensuring that garment enterprises attain performance targets. It is therefore recommended that comprehensive risk mapping practices need to be regularly undertaken by SMEs in the garment sector in Eldoret town

Project Controls Model for Sustainable Construction Projects

As sustainability rises in significance in the construction industry, there is a need to adopt new project management techniques to help achieve increases in sustainability objectives. There have been several research works that have investigated the integration of sustainability in construction. However, there is a gap in addressing performance measurement and evaluation during the construction phase. Traditional project performance evaluation methods use the Earned Value Management (EVM) technique to assess time, cost, and scope performance. However, EVM does not address the performance of sustainability goals. The main objective of this paper is to develop a new project controls method for sustainable construction projects. Sustainability performance indicators can play an essential role in advancing the practice of sustainable construction. Accordingly, a Sustainable Earned Value Management (SEVM) model incorporating sustainability indicators was developed to monitor the attainment of sustainability objectives in construction projects in addition to the traditional objectives. The proposed SEVM model uses the construction planning optimization model to prepare the baseline plan to monitor the project’s time, cost, and sustainability performance. The proposed model enhances the monitoring and control of sustainable construction projects in terms of time, cost, and sustainability using sustainability indicators.

Investigating the impact of multiple governance mechanisms on new infrastructure projects performance: evidence from China

PurposeThis study aims to construct a “contractual–relational–governmental” 3D governance framework for new infrastructure projects (NIPs) within China’s distinct institutional context. The primary objective is to explore the impact of multiple governance mechanisms on the NIP performance, thus identifying the key governance mechanisms and proposing targeted performance improvement strategies.Design/methodology/approachThe research design follows a sequential mixed methodology of integrating qualitative and quantitative data collection and analysis. Firstly, project governance and performance indicators were collected from relevant literature and expert interviews. Secondly, a questionnaire was developed, and data were collected through on-site and online means. Finally, the partial least square structural equation model (PLS-SEM) was utilized to examine and analyze the relationships between governance mechanisms and NIP performance.FindingsContractual, relational and governmental governance all have a certain role in promoting the NIP performance. Specifically, contract stringency, trust and governmental decision are the core elements of contractual, relational and governmental governance, respectively, while commitment does not significantly affect NIP performance. Generally, relational and governmental governance exert a more substantial influence compared to contractual governance, with governmental decision and trust being the most effective.Originality/valueThis paper contributes to the field by introducing PLS-SEM as a measurement tool for exploring the impact of multiple governance mechanisms on governance performance in NIPs. The results offer valuable insights for project managers, enabling them to concentrate on core factors while refining and optimizing governance mechanisms and strategies.

Project Time Management and Performance of Kenya Towns Water Supply and Sanitation Programme at Central Rift Water Works Development Agency.

The general objective of the study was to examine the influence of Project time management on the performance of Kenya Towns Water Supply and Sanitation Projects at Central Rift Water Works Development Agency specifically the study. The study was anchored by pickle jar theory, theory of constraints, theory of effective project implementation and communication theory. A descriptive survey design was used in this research. The study targeted project managers, consultants, coordinators, engineers, contractors, community representatives, and representatives from the Ministry of Water and Irrigation in three projects under the Kenya Towns Water Supply and Sanitation Programme, carried out by the Central Rift Valley Water Works Development Agency. The counties involved are Narok and Nyandarua. A sample size of 83 respondents was used. The participants in the study were chosen using a simple random selection method. Data was collected using a questionnaire and interview schedule. The analysis was both qualitative and quantitative. Quantitative data collected was analysed using Statistical Package for Social Sciences version 25. The study analysed both descriptive and inferential statistics. Thematic analysis was used to analyse qualitative data collected from the interview schedule. The analysis revealed a Pearson correlation of (r=0.512, p<0.05). This indicated a moderate positive and significant relationship between project time planning and the performance of Kenya Towns Water Supply and Sanitation Projects. The also showed a Pearson correlation of (r= 0.553 p<0.005) which indicates a positive and significant relationship, suggesting that effective prioritization of time-related tasks plays a crucial role in enhancing project performance. Additionally, the correlation analysis for time tracking yielded a Pearson correlation of (r=0.390 p<0.005). This suggests a moderate positive and statistically significant relationship between time tracking and project performance. Lastly, the study revealed the impact of project team communication on performance, finding a Pearson correlation of (r= 0.672 p<0.005). This indicated a strong positive and significant relationship, suggesting that effective communication among project teams significantly enhances performance outcomes. The findings indicated that 45.1% of the variation in the performance of the project could be explained by the independent variables studied, while 54.9% of the variation is attributed to other factors not covered in this study. The study concluded that project time planning, time prioritization, time tracking, and project team communication had an effect performance of Kenya Towns Water Supply and Sanitation Projects at Central Rift Water Works. The study recommends implementing structured time planning methods, enhancing time tracking, and fostering effective communication within teams to improve project performance. Future research should explore stakeholder engagement and the role of emerging technologies in water project management

Construction Project Performance Based on Occupational Safety, Occupational Health and Work Motivation

Many construction organizations still employ workers without regard to the application of accident risk, although a focus on safety is predicted to improve worker performance. This study aims to examine the effect of occupational safety and health and incentive factors on worker performance in housing construction projects. This study used a quantitative approach and was tested using the SEM-PLS method with a sample of 72 respondents. The results showed that well-implemented occupational safety and health significantly improved worker performance, by reducing the risk of injury and improving worker welfare. In addition, high work motivation plays a role in increasing project productivity and efficiency. Emphasis on safety, health, and work motivation was shown to have a positive impact on achieving better project performance. The implications of this research provide important insights for construction managers and policy makers in optimizing project success through the implementation of effective safety protocols, wellness programs, and appropriate motivation strategies. Thus, this study highlights the importance of integrating occupational safety and motivation as key factors in achieving superior project performance.

Influence of External Stakeholder Involvement and Risk Perception on Affordable Housing: A Survey on the Implementation of Affordable Housing Project in Anderson-Ofafa Estate, Kisumu City (Kenya)

The significance of stakeholder involvement and risk forecasting in project management has been documented in literature and in studies all over the World. One such study was carried out in Anderson-Ofafa estate, Kisumu City. The main goal of the study was to assess the influence of external stakeholder involvement and risk perception on the implementation of the project. The stakeholders showed resistance to the housing project.The study aimed to establish the risks the project is exposed to based on stakeholder attitude and their influence on project performance, and whether the stakeholders were involved so as to provide solutions to problems bedeviling the project and to generate new knowledge. A survey of general respondents/ intelligent laypersons of age 18 years and above totaling 384 and key informants numbering 16 proportionately sampled from a population of 174,145 people found out that there was a significant correlation between stakeholder involvement, risk perception and project performance. In addition, the study established the occurrence of socio-political,regulatory and financial risk factors which had a perceived high influence of 50% and above, moderate influence of 39% and a very high influence of above 50% respectively.Updated risk register had a perceived high influence of 50% and above. Socio-political risk factors significantly influenced the project performance as was hypothesized by the alternative hypothesis of this study.Financial risk factors had the greatest impact.The stakeholders were involved in the project but were still not satisfied with its implementation.The results are expected to assist the project stakeholders align their goals with that of the project to foster sustainability.The practical or managerial implications is explained as follows- there are documented potential consequences and outcomes of stakeholder actions that have contributed to risk factors that will have extended effect on all stakeholders; including project beneficiaries, project providers, project influencers, and the project governance team. Interventions recommended include; Project sponsors to focus on strategies that manages risk perception and returns expectations, Project manager to reduce project scope, public sector to put measures that guarantee stability in laws and regulations and, the project should be infused into the new affordable housing program by the Kenya Kwanza government to benefit from the new government initiated housing levy fund.

Integrated design and procurement strategy to achieve efficient performance in design and build government project

Design and procurement integration strategies in construction projects play an important role and have an impact on the overall project cycle. Integrated design and procurement will increase productivity and reduce waste. This research aims to provide a guide to good design and procurement integration strategies in Design and Build (DB) projects in government projects. This research uses qualitative and quantitative methods in the form of a schematic literature review followed by a Focus Group Discussion (FGD) with the Delphi method to formulate integrated design and procurement that improve project performance. In-depth interviews were conducted with 90 respondents to explore the implementation of the design and procurement strategy on the project used as a case study. The results of this research are recommendations for an integrated design and procurement strategy which can be used as a Standard Operating Procedure (SOP) in DB projects on government projects so that it can provide added value from the start of the project being designed through tenders. This research can be utilized by project stakeholders, academics and anyone who will develop project performance through the integrated design and procurement in the long term.

Impact of emotional and cultural intelligence on project performance through psychological contract and task interdependence

Impact of emotional and cultural intelligence on project performance through psychological contract and task interdependence

The Project Performance Evaluation of PLBN Project Using Earned Value Management Method

Process of monitoring and controlling projects requires data evaluation activities in the order to findout whether the project is in accordance with the plan to avoid an incompatibility between theplanning and the actual time. The failure of construction project almost reached the figure of 20% -40% which occurred in the project monitoring and controlling process. The purpose of this researchis analysis project performance with earned value management method at PLBN Project. Thisresearch was carried out by several stages: data collection, data processing and analysis. From theresults of the performance index analysis show that the project’s performance on the constructionproject is still not good. At week 16 the CPI and SPI values are 0.94 and 0.85. Both values can beinterpreted that the costs incurred are greater than planning and the implementation time is longerthan planning. The result of EAC is Rp. 2.423.695.294 with an estimated completion time is 21weeks which indicates that there is an additional 3 weeks of completion.

Adaptive Strategies and Sustainable Innovations of Chinese Contractors in the Belt and Road Initiative: A Social Network and Supply Chain Integration Perspective

As global economic integration and rapid technological advancements transform international business, international engineering contracting has become essential for achieving sustainable development goals (SDGs). This paper investigates the significant impact of China’s strategic initiatives, notably the “Going Global” strategy and the Belt and Road Initiative (BRI), on the operational practices of Chinese enterprises involved in overseas investments. Central to this transformation is the Engineering, Procurement, and Construction (EPC) model, which emphasizes the integration of supply chain management and stakeholder collaboration to enhance performance in international EPC projects and underscores the crucial role of these elements in promoting sustainability. Incorporating insights from social network data analysis, this study reveals that contractors collaborating with various stakeholders—such as owners/consulting engineers, domestic and foreign customs departments, and group headquarters/design parties—exhibit a high degree of similarity in personnel profiles. This suggests that the internal organizational structure and personnel allocation of contractors could be optimized to enhance operational efficiency, aligning with the collaborative patterns identified. This study addresses a critical research gap by exploring how effective supply chain management and collaborative stakeholder engagement within multinational EPC projects contribute to sustainable outcomes. Employing advanced social network analysis software, the research examines the complex interactions among stakeholders and their influence on procurement dynamics. Findings indicate that strong relational networks and strategic collaborations significantly enhance procurement efficiency and project success, underscoring the importance of supply chain integration. Ultimately, integrating supply chain management principles into the EPC model not only offers innovative perspectives for advancing sustainability in international projects but also provides actionable insights for improving project outcomes within the BRI framework. This research underscores the pivotal role of supply chain organization and stakeholder cooperation in achieving sustainability objectives, thereby enriching the discourse on sustainable enterprise operation and supply chain management in the context of global initiatives.