Project Performance Research Articles

Home region orientation, international intensity, and funding performance of international crowdfunding projects

Home region orientation, international intensity, and funding performance of international crowdfunding projects

Influence mechanisms of digital construction organizations’ capabilities on performance: evidence from SEM and fsQCA

PurposeWith the rise of digital construction, using organizational capabilities to improve project performance in a turbulent environment has become critical for the high-quality development of the construction industry. However, the complex relationships among them remain unclear. Therefore, this study explores these linear relationships under the digital construction mode and reveals the driving mechanism of multi-factor linkage on project performance.Design/methodology/approachData were collected from 263 project participants in digital construction projects in China using a questionnaire. Hypothesis testing was conducted using partial least square structural equation modeling, and the differentiated patterns of project performance formation were revealed through fuzzy-set qualitative comparative analysis.FindingsOrganizational information technology, innovation, coordination, integration management and emergency management capabilities improve project performance. Environmental turbulence is a positive moderator between coordination capabilities and project performance, while other capabilities do not align with environmental turbulence. The research obtained five equivalent configurations for achieving high project performance, such as “capability layout” and “internal driven,” and two paths that lead to non-high project performance. Finally, in contrast to existing studies, we discovered the outstanding contribution of emergency management capabilities to project performance and the auxiliary effect of information technology capabilities.Originality/valueThis study innovatively integrates a dimensional framework of construction project organizations’ capabilities under a digital construction mode and extends the organizational capabilities to the specific and operational capability dimension level. Furthermore, this study opens the “black box” of the influence of organizational capabilities on project performance in environmental turbulence and reveals the differentiated and equivalent configurations for the formation of project performance. The study broadens the theoretical perspective of organizational capabilities on project performance research in the digital context and provides practical enlightenment for guiding the capability configuration of construction project organizations in a turbulent environment. The study broadens the theoretical perspective of organizational capabilities on project performance research in the digital context and provides practical enlightenment for guiding the capability configuration of construction project organizations in a turbulent environment.

Investigating the relationship between organizational mindset orientation and project performance of large organizations in the Ghanaian construction industry

ABSTRACT This study investigates the linkage between organizational mind-set and its effect on construction project performance by examining the underlying attributes that define organizational mind-set, predominant indicators for measuring project performance and the relationship between organizational mind-set and project performance. A quantitative research strategy embedded within a positivist paradigm and deductive reasoning was adopted. An online survey was used to collect data from 128 construction organizations in Ghana, with a total of 107 retrieved. Data was analyzed using mean score ranking, one sample t-test and correlation analysis. Findings revealed that, of the 20 assessed organizational growth mind-set attributes, only 10 were implemented within organizations. Conversely, of the 20 assessed fixed mind-set attributes, none were deemed significant. The findings also revealed significant positive relationships between: project performance and seven of the 20 growth attributes; and project performance and five of the 20 fixed attributes. These findings shed light on the significance of often overlooked factors like organizational mind-set that can propel positive project outcomes. The study recommends construction firms prioritize both growth and fixed organizational mind-set perspectives to ensure positive project outcomes. Training of employees to tune their minds toward a growth organizational mind-set is critical to ensure projects are executed seamlessly.

Keep bright in the dark: Multimodal emotional effects on donation-based crowdfunding performance and their empathic mechanisms.

How to raise donations effectively, especially in the E-era, has puzzled fundraisers and scientists across various disciplines. Our research focuses on donation-based crowdfunding projects and investigates how the emotional valence expressed verbally (in textual descriptions) and visually (in facial images) in project descriptions affects project performance. Study 1 uses field data (N = 3817), grabs project information and descriptions from a top donation-based crowdfunding platform, computes visual and verbal emotional valence using a deep-learning-based affective computing method and analyses how multimodal emotional valence influences donation outcomes. Study 2 conducts experiments in GPT-4 (Study 2a, N = 400) and humans (Study 2b, N = 240), manipulates the project's visual and verbal emotional valence through AI-generated stimuli and then assesses donation decisions (both GPT-4 and humans) and corresponding state empathy (humans). The results indicate a multimodal positivity superiority effect: both visual and verbal emotional valence promote initial whether-to-donate decisions, whereas only verbal emotional valence further promotes the how-much-to-donate decisions. Notably, such multimodal emotional effects can be explained through different mediating paths of empathic concern and empathic hopefulness. The current study theoretically facilitates our understanding of the emotional motivations underlying human prosociality and provides insights into crafting impactful advertisements for online donations.

Impact of Emotional Intelligence on Project Performance with the Mediating Role of Top Management Support in IT Sector Projects in Khyber Pakhtunkhwa, Pakistan

Grounded in project managers competencies skills, this research seeks to examine the impact of emotional intelligence on project performance with the mediating role of top management support. For this purpose, data is collected through self-administered survey questionnaires among project managers and employees of IT sector projects in Khyber Pakhtunkhwa, Pakistan. Process Macro and regression analysis conducted for hypotheses testing. The findings revealed that project managers emotional intelligence significantly influence project performance. Further, top management supports play a significant mediating role in the relationship between emotional intelligence and influence project performance. These findings provide practical implications for policy makers and IT project managers by highlighting how emotional intelligence and top management support remain essential for project performance.

Monitoring and Evaluation Practices and Performance of the Energy Projects in Rwanda: A Case of Electricity Access Rollout Programme (EARP)

Purpose: This research aims to appraise contribution of M&E practices to energy projects performance, especially in the Electricity Access Rollout Programme Rwanda (EARP).It examined especially the contribution of planning for M&E, project baseline Surveys implementation, and Monitoring and Evaluation information system usage to EARP performance. The research involved the Program theory, Result-based theory, and the theory of change. Methodology: For the research design, a descriptive survey helped, and the target population was 15 project staff of the completed EARP in the project management unit. During this study, the researcher used a census, the entire population was considered as a sample since its number was limited. Qualitative and quantitative approaches were applied to gather data, and through interview guide and questionnaire, the researcher gathered primary data while secondary data were gathered from various official reports. After collecting data, the researcher used SPSS V.23 for their process and analysis. The content analysis techniques served to analyze data from interviews, and reports. The frequencies, percentages, standard deviation, and means known as descriptive statistics helped the researcher in defining the data, Pearson correlational and regression statistics were used to set up relationships concerning the variables and the significance levels. The research results were finally represented using graphs and tables. Findings: According to the research findings, the majority of participants agreed that M&E planning contributed to the performance of EARP (mean=4.31, Std =0.78). Furthermore, they indicated that M&E planning and EARP performance were positively correlated with a Pearson correlation coefficient of r=0.632, and p-value= 0.01 <0.05 significance level. Also, a great number of participants agreed that baseline implementation contributed to EARP performance (mean=4.37, Std =0.813), and a strong positive correlation was established between baseline implementation and EARP performance, the Pearson correlation coefficient was r=0.832 and the p-value=0.00<0.05 the significance level. Lastly the mean and the standard deviation for the M&E Information System were (mean= 4.08, and Std= 1.04) respectively, most participants agree that M&E IS contributed to EARP performance. Nevertheless, the standard deviation was greater than one implying a large spread of responses from the mean, thus no consensus among respondents. The Pearson coefficient was r=0.170 with a p-value =0.544>005 and this value implied that no significant correlation existed between the M&E Information System usage and EARP performance as it was greater than the significance level. A regression model of the predictors against the performance of EARP yielded R-square value of 0.731, hence the three components under study could explain 73.1% of variation in EARP project performance with F=9.128, p-value=0.003<0.05. M&E Planning (β=0.228, P value= 0.04), Baseline Survey Implementation (β=0.437, P value= 0.020), M&E Information System Usage (β=-0.54, P value= 0.74) respectively. Unique Contribution to Theory, Practice and Policy: The researcher recommends those involved in project management especially energy projects or programs to adopt a robust, comprehensive, and user-friendliness M&E information system and promote M&E practices. This research may benefit different project management teams as it may provide them with the fundamental information to effectively track and measure projects. Furthermore, it may benefit several energy sector stakeholders to optimize the process of project development and promote performance for energy projects.

Cost Estimation and Project Completion Time with Earned Value Analysis Approach on Waru-Buduran Frontage Road Project In Sidoarjo

The construction project of the Frontage Road Waru-Buduran in Sidoarjo has faced significant delays, highlighting the critical challenges in maintaining project efficiency. This study aims to analyze the cost and schedule estimates for the remaining work, as well as the total project completion using the Earned Value Analysis (EVA) method. The analysis results reveal a progress deviation of -9.911% by week 14 out of the total planned 21 weeks, indicating substantial schedule delays. Final completion estimates indicate a delay of 16.5 days and cost efficiency of IDR 1,246,797,954.06 (3.8%), demonstrating effective cost management despite schedule setbacks. EVA has proven effective in integrating cost and schedule performance indicators, such as Schedule Performance Index (SPI) and Cost Performance Index (CPI), to provide a comprehensive evaluation of project health. The findings emphasize the importance of early identification of deviations through EVA to implement corrective strategies, such as resource reallocation, schedule adjustments, and improved stakeholder coordination. The application of EVA enables project managers to predict potential risks, mitigate delays, and optimize resource utilization to achieve project objectives. This study provides valuable insights for project management practices, offering practical guidelines for addressing the complexities of construction projects. By utilizing EVA, project managers can ensure better decision-making, improve time and cost efficiency, and minimize conflicts arising from deviations in project execution. The findings serve as a reference for adopting EVA as a standard method in construction management to enhance overall project performance and ensure timely completion within budgetary constraints.

Impact of uncertainty factors on the performance of building renovation projects

Impact of uncertainty factors on the performance of building renovation projects

Performance Evaluation of Time and Cost In The Bungur-Kedoyo Tulungagung Road Construction Project Using The Earned Value Method

Road infrastructure is essential for supporting transportation, fostering economic growth, and enhancing community mobility. However, the Bungur-Kedoyo road construction project in Tulungagung has faced challenges in time and cost management, impacting overall project performance. This study aims to evaluate the project's time and cost performance using the Earned Value Method (EVM), a robust tool that compares planned work, completed work, and actual costs to provide a comprehensive performance analysis. Data from the 25th-week project report revealed delays, with a Schedule Variance (SV) of -Rp. 315,481,514.90 and a Schedule Performance Index (SPI) of 0.970, indicating slower progress than initially planned (SPI < 1). These results highlight the need for improved project scheduling and enhanced control mechanisms to mitigate delays and manage costs effectively. By identifying inefficiencies and areas requiring intervention, the study provides actionable recommendations for improving project management practices. It concludes that integrating EVM into time and cost control processes can significantly enhance project efficiency and reliability. This research contributes to advancing infrastructure development by offering insights that can be applied to similar projects, ensuring timely and cost-effective delivery while promoting sustainable growth in the road construction sector.

Comparative analysis of certified emission reduction methodologies for methane emission reduction in China.

As one of the top emitters of methane (CH4), China must take action to achieve its carbon neutrality goal. Programs to reduce CH4 emissions would benefit from the establishment of the China Certified Emission Reduction (CCER) trading market. However, studies investigating the impact of the CCER trading market on CH4 reduction remain limited. This study therefore analyzes the emission reduction performance of CH4-related CCER projects and investigates their accounting methodologies. The results show that 182 CH4 emissions reduction projects were registered between 2012 and 2017, covering coal mining, energy, waste treatment and disposal, and agriculture, with an annual emissions reduction of 19.8 MtCO2e. It was observed that, while the pre-restart methodology system covered a wide range of emission reduction areas, its application frequency was unevenly distributed. Most projects were registered in only a few emission reduction domains, with the majority of methodologies remaining unused since their publication. Moreover, the IPCC default values were frequently used in China-specific emission accounting, leading to significant uncertainties. Recommendations are made on how to improve the effectiveness of CH4 emissions reduction measures based on this analysis.

Project Performance Analysis Based on Earned Value Method on Infrastructure & Infrastructure Improvement of Yohanis Kapiyau Timika Airstrip

This study analyzes the performance of construction projects using the Earned Value Method (EVM) on the Infrastructure and Facilities Improvement Project at Yohanis Kapiyau Airbase in Timika. Utilizing key performance indicators such as Cost Variance (CV), Cost Performance Index (CPI), Schedule Variance (SV), and Schedule Performance Index (SPI), the research evaluates cost and time deviations to provide a comprehensive understanding of project performance. EVM offers precise insights into the project's current status, including estimates for total costs and completion timelines, which are critical for effective decision-making and ensuring adherence to project plans. The findings demonstrate that EVM is a reliable tool for accurately monitoring and managing construction projects, enabling stakeholders to identify inefficiencies and implement corrective measures in a timely manner. By providing an in-depth evaluation of cost efficiency and schedule performance, the study contributes to the broader application of EVM in enhancing construction project management. This research is expected to benefit academics by advancing theoretical knowledge, assist contractors in optimizing project execution, and inform public stakeholders on best practices for infrastructure development, ultimately contributing to more effective and efficient management of construction projects in Indonesia.

A Comprehensive Review of Machine Learning and Multi-Criteria Decision Analysis in Construction Delay Management

Construction delays remain a critical challenge globally, significantly affecting project performance metrics such as cost, schedule adherence, quality, and safety. Traditional methods like the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT) are widely used but lack the predictive capabilities and adaptability required for dynamic project environments. Machine Learning (ML) and Multi-Criteria Decision Analysis (MCDA) have emerged as innovative tools for addressing these limitations. ML excels in predicting delay impacts by analysing historical data and uncovering hidden patterns, while MCDA provides a structured framework for prioritizing delay factors based on their influence on project performance. This paper provides a comprehensive review of the application of ML and MCDA in construction delay management, highlighting their strengths, limitations, and potential integration. The review identifies research gaps, including the need for hybrid frameworks that combine predictive insights with decision support. It proposes future directions to develop real-time tools for delay mitigation, ultimately enhancing construction project outcomes through data-driven decision-making.

Tapping into User Effort? Improving Referral Outcomes in Crowdfunding Markets

Referral programs have received increasing attention as a way to enhance project fundraising in crowdfunding. To improve operational efficiency and performance, many crowdfunding platforms allow users to exert more effort (referral effort) when making referrals. In this paper, we study the impact of users’ referral efforts on referral outcomes, using a unique data set from a reward-based crowdfunding platform. We analyze three types of referral effort beyond merely sharing the referral link, namely, writing the referral message, matching the referral recipients’ pledges, and supporting their own referrals. Our results suggest that users’ referral efforts can help improve the outcome of referrals, as these efforts may be perceived as positive signals of quality, thus reducing referral recipients’ uncertainty about the crowdfunding project. We further explore the heterogeneity in this observed impact, and find that matching recipients’ pledges have a greater impact than the other two types of referral effort. Furthermore, the impact of referral effort is attenuated under conditions of low uncertainty, wherein project quality can be inferred from observable features, such as projects launched by large creators, selected by editors, or referred by experienced backers. Our analyses also indicate that referring users’ efforts can collectively improve the fundraising performance of projects that receive referrals. We discuss the implications of our findings for platform managers, policy makers, and users in crowdfunding marketplaces.

Measurement of Project Cost and Time Efficiency with Earned Value Approach In The Implementation of Baggage Handling System at Sultan Hasanuddin International Airport Makassar

The installation of the Baggage Handling System (BHS) at Sultan Hasanuddin International Airport, Makassar, faces challenges related to cost and time inefficiencies, particularly delays in project completion. This study aims to evaluate these inefficiencies by applying the Earned Value Method (EVM) to assess project performance and identify areas for improvement. Utilizing EVM metrics, the research identifies that the Schedule Performance Index (SPI) is below 1, indicating a delay in the project timeline, with the actual duration extending to 556 calendar days compared to the planned 546 days. This delay underscores the need for a more robust project management approach. The study employs the Critical Path Method (CPM) in conjunction with Microsoft Project to improve scheduling accuracy, alongside recommendations for project acceleration using the Crashing Program method. The findings highlight that early implementation of EVM can help mitigate discrepancies in cost and time, enabling better control and monitoring throughout the project lifecycle. The study concludes that integrating advanced scheduling techniques and real-time performance metrics is essential to achieving efficiency and minimizing delays in similar infrastructure projects.

Configurations for high outsourcing performance in construction projects: an integrated perspective of transaction costs and capabilities

PurposeThis study aims to integrate perspectives of transaction costs and capabilities to investigate how the configurational fit between outsourcing strategies, asset specificity of projects and the capabilities of general contractors could achieve high outsourcing performance.Design/methodology/approachEmploying fuzzy-set qualitative comparative analysis, this study analyzes 31 outsourcing cases in construction projects to examine outsourcing performance under different combinations of transaction costs and capabilities.FindingsThe findings highlight six different but functionally equivalent configurations to high outsourcing performance, which vary according to attributes of projects and capabilities of contractors. Further, this study develops four context-dependent paths that link outsourcing strategies to high outsourcing performance: leading practitioner, collaborative manager, partnership dependent, and struggler.Practical implicationsHow do contractors in construction projects navigate outsourcing practices to high performance? This study provides a configurational perspective to make outsourcing strategy decisions. Based on the firm’s capabilities and project asset specificity, contractors are encouraged to select from six different but functionally equivalent combinations and thereby four outsourcing strategies, namely leading practitioner, collaborative manager, partnership dependent, and struggler, to achieve high outsourcing performance.Originality/valueThis study contributes to the body of knowledge by offering a holistic perspective that integrates production and transaction costs to analyze contractors’ outsourcing strategies, contributing to the integration of the transaction cost perspective and capability perspective.

“Can’t direct the wind? Adjust the sails”: a mediation model of intellectual capital, adaptive capability and project performance

“Can’t direct the wind? Adjust the sails”: a mediation model of intellectual capital, adaptive capability and project performance

15-Year Performance of SPS-2 Project in Kansas

The Long Term Pavement Performance (LTPP) SPS-2 experiment was designed to study the structural factors, such as drainage, base type, concrete strength, thickness, and lane width for rigid pavements. The SPS-2 experiment section in Kansas, constructed in 1992, is a jointed, dowelled plain concrete pavement. The experiment consisted of twelve standard SPS-2 sections and one Kansas Department of Transportation (KDOT) supplemental/control section. These sections have been monitored by the LTPP program since construction. Performance monitoring included measurements for ride quality (International Roughness Index, IRI), faulting, cracking, and surface deflections. Performance parameters analyzed in this study included IRI, faulting, cracking (combined longitudinal and transverse crack lengths), and joint load transfer efficiency (LTE). The results show that the project has performed very well to date. Most sections are smooth, crack free, and have negligible faulting. The load transfer efficiency of the sections has been good too. The drainable sections with permeable asphalt treated base have performed the best. These sections were built smoother and remained so after 15 years of service. The section with low PCC slab thickness (203-mm) and low concrete design strength (3.8-MPa) on dense graded aggregate base has performed the worst. The combination of high slab thickness and high concrete strength tends to mask the effect of base on pavement performance. The KDOT supplemental/control section with thick slab (305-mm) over dense graded, Portland cementtreated base has also performed very well. Statistical analysis of IRI and LTE data also supports these conclusions.

Effectiveness of the Federal ‘Clean Air’ Project to Improve Air Quality in the Most Polluted Russian Cities

An unavoidable adverse consequence of industrial development is the contamination of urban atmospheres. Deterioration of air quality leads to a decrease in the quality of life of the population, creates a lot of risks of serious diseases, and threatens to increase life expectancy. This phenomenon is particularly evident in many large Russian cities, where historically a powerful industry has developed. In recent decades, the Russian government has acknowledged environmental remediation as a pivotal priority for the National Development Goals. The dedicated funding from the National ‘Ecology’ Project in 2018–2024 allowed for large-scale public and private investments to address the problem of improving the air quality of urban areas in Russia. What is the effectiveness of this spending? In this article, we answer this question by analyzing the effectiveness of the Federal ‘Clean Air’ Project, part of the National ‘Ecology’ Project, which aimed to improve air quality in 12 of the most polluted Russian cities. We show that the project’s key performance indicators (KPIs) underwent significant changes over the 2018–2024 period. The emissions reduction target was lowered from 22% to 20%, the methodology for measuring pollution was revised, and new targets were set. One of the main reasons for this was the suboptimal quality of the data on which the initial plan was based. As a result, the revised emissions estimates produced by the project were found to exceed not only the target benchmarks but also the baseline. The planned targets are largely on track, and it is likely that the target of a 20% reduction in emissions from the 2017 baseline will be met. However, the link between the KPIs and the improvement in urban air quality is questionable. The initial phase of the ‘Clean Air’ Project was a valuable first step, particularly in establishing an air quality monitoring network and conducting detailed pollution assessments in 12 cities. However, to further improve project performance, it is essential to base project KPIs on estimates of air pollution-related health damage and economic losses.

Lessons learned from Mn/ROAD (1992 – 2007): Low-Volume Road Concrete Pavement Design and Performance

This paper examines the design and general performance of the five original MnROAD low-volume road (LVR) concrete pavement test sections, which were constructed in 1993 and have been subjected to more than 300,000 80-kN (18-kip) equivalent single-axle loads (ESALs) by a controlled stream of heavy trucks. The test sections include pavements with varying panel lengths, joint designs, foundation designs and drainage systems. Ride quality histories and current distress summaries are presented, along with maintenance records and deflection data. Performance life projections are made on the basis of IRI records, and these projections are compared with predictions that result from using as-built data in selected common design procedures. The effectiveness of various design and construction parameters is evaluated in the context of the performance measures and predictions. Initial ride quality appears to be one of the most important parameters affecting performance life. The accuracy of various design procedures is evaluated in terms of the test section performances. The new AASHTO Mechanistic-Empirical Pavement Design Guide provided pavement performance estimates that most closely matched observed IRI trends, but even this procedure underpredicted project performance by about 23 percent.

PROJECT COST ANALYSIS THROUGH EARNED VALUE METHOD ON THE INSTALLATION OF BAGGAGE HANDLING SYSTEM (BHS) PPUPG (PROJECT CASE STUDY AT SULTAN HASANUDIN INTERNATIONAL AIRPORT MAKASSAR)

This research is aimed at analyzing the cost performance of the Ppupg Baggage Handling System (BHS) Installation project at Sultan Hasanudin Makassar International Airport. This research focuses on two key questions: (1) how to assess cost performance during monitoring using indicators such as Cost Variance and Cost Performance Index, and (2) what the estimated total project cost will be upon completion, specifically through the Estimated All Completion (EAC). The research is conducted from October Week 2 to the field in January 2025 which began in stages from research preparation, initial survey, literature review, data collection, proposal preparation, data analysis, and thesis preparation. The research was conducted in the form of observations, namely, the PPUPG baggage handling system installation project. The study was conducted using a multidisciplinary approach. The analysis of the EAC serves to enhance understanding of projected total project costs, allowing for better financial forecasting and budget management. The findings from this study can help practitioners optimize budgeting processes and improve project outcomes, thereby advancing the overall understanding of cost management in infrastructure projects. Future research can contribute to more effective cost management strategies and improved project performance outcomes by integrating findings from both CPM analysis and comprehensive literature.