Project Management Performance Research Articles

The Impact of Moderation Analysis Between Effective Project Governance and Project Performance Management in Malaysia’s Construction Industry

Objective - The building sector is essential to Malaysia's economic expansion. Despite its significance, large construction companies usually experience delays and project failure, affecting 95% of homebuyers due to 580 delayed projects in 2022. By February 28, 2023, 581 projects had been reported as delayed. Methodology/Technique – This study experimentally examines the relationship between effective project governance and project performance in 390 Malaysian construction companies, using a framework based on agency theory and assessed with partial least squares structured equation modeling. Finding – Benefit management serves as a mediator between project performance and effective project governance, and top management support has a positive moderating influence. Novelty – The study highlights the importance of preventive measures, enhancing team and project manager roles, and forming strategic alliances for improved project governance. Type of Paper: Empirical JEL Classification: H60, H61, M10, M11. Keywords: Effective project governance; project management risk; benefit management; top management support; project performance. Reference to this paper should be referred to as follows: Abdullah, F.C.B; Indiran, L; Krishnan, A; Pavithran, S.N. (2024). The Impact of Moderation Analysis Between Effective Project Governance and Project Performance Management in Malaysia’s Construction Industry, GATR-Global J. Bus. Soc. Sci. Review, 12(3), 114–124. https://doi.org/10.35609/gjbssr.2024.12.3(2)

Project Management Information Systems and Performance of Monitoring and Evaluation Systems in The State-Owned Enterprises, Kenya

This study investigated the relationship Project Management Information Systems (PMIS) and the performance of Monitoring and Evaluation (M&E) systems in Kenya's state-owned enterprises (SOEs). The efficient execution of state-owned projects was identified as critical for achieving national development goals; however, challenges such as inadequate integration of PMIS, ineffective M&E systems, inefficient resource deployment, and difficulties in measuring project outcomes often hindered success. A baseline survey indicated that while 40% of SOEs had begun to integrate PMIS into their M&E processes, only 25% reported significant improvements in project tracking. The study aimed to examine the relationship between PMIS utilization and M&E performance, focusing on resource allocation and technological development. A descriptive research design was employed, targeting 263 SOEs, with data collected from 384 respondents, primarily M&E managers. The results demonstrated a robust correlation between resource allocation, technological development, and M&E performance, with Pearson correlation coefficients of 0.653 and 0.763, respectively. Regression analysis revealed that PMIS accounted for 64.9% of performance variance in M&E systems, underscoring its critical role in enhancing project outcomes. The findings indicated that effective resource allocation and technological advancements were essential for improving organizational performance. Recommendations included investing in technology, enhancing resource allocation strategies, and fostering a culture of innovation within SOEs. Additionally, the study highlighted the need for continuous training to equip staff with the skills to leverage technological advancements. Areas for further research were identified, emphasizing the importance of exploring contextual factors affecting performance, the long-term impacts of PMIS implementation, and comparative studies with the private sector to enhance understanding of resource allocation and technological strategies across different organizational contexts. Overall, the research underscored the vital role of integrated PMIS and effective M&E in optimizing the performance of state-owned enterprises in Kenya

Factors Influencing the Success Criteria of ICT Project Management Case Study Constructions in Mogadishu

Being a developing nation, our nation's project construction is advanced in comparison to earlier years. Therefore, the overall goal of this study is to evaluate and examine the local elements influencing the success criteria of ICT project management in the construction sectors. The purpose of this study is to evaluate the technical factors that affect the success of ICT project management in the Somali construction industry. To determine the organizational factors that affect the ICT project management success in the Somali construction industry. And to investigate the cultural factors that affect the success of ICT project management in the construction industry. The most recent study to look at environmental factors influencing the performance of ICT project management in the Somali construction industry. The report focuses on construction initiatives completed in Somalia's capital city of Mogadishu. Both interviews and questionnaires were used to gather the data. The questionnaire was completed online using Google Form, and the respondents were clients, consultants, and contractors. The researchers used practical sampling to gather 100 surveys. There are four case study companies that I have chosen as an experiment construction companies are utilized as a case study for this research project. The data from the questionnaires were analyzed using SPSS to produce the average index from the study; Dalbile construction and contracting company, Bile home repair and Construction service, Qidmad Construction Company and Gaabow Construction Company. Due to the growing technological uncertainty, the building sector is dynamic. Building projects are getting easier and more advanced today. The coordination between the project participants is what has an impact on how well construction projects execute when using the design build method of procurement. The Somali government should establish and enforce strict penalties to combat fraudulence activities, the licensing of contractors and consultants should be thoroughly scrutinized to ensure that they are qualified and have the tools necessary to perform their jobs, and the contractors should enhance their estimation methods and take into account all external factors that could affect their projects.

أثر استخدام تقنيات الذكاء الاصطناعي في تحسين جودة إدارة المشروعات

In recent years, artificial intelligence techniques have emerged in business administration and project management. The study aims to explore the uses of artificial intelligence in various types of projects, and analyze their impact on the quality of performance. The study presents the concepts of artificial intelligence, including machine learning, deep learning, natural language processing, and computer vision. It also includes a detailed analysis of artificial intelligence applications in many types of projects, such as manufacturing projects, supply chain management, software development, and digital marketing...etc. The study focuses on how to use these technologies to improve the quality of project management performance. It relied on studying practical cases and analyzing data extracted from surveys and opinions of specialists working in this field.

Unveiling the digital horizon: Bridging the realms of digital twinning and construction project management performance

The digitalization of the construction industry is deemed a crucial element in Construction 4.0’s vision, attainable through the implementation of digital twinning. It is perceived as a virtual strategy to surmount the constraints linked with traditional construction projects, thereby augmenting their productivity and effectiveness. However, the neglect to investigate the causal relationship between implementation and construction project management performance has resulted from a lack of understanding and awareness regarding the consequences of digital twinning implementation, combined with a shortage of expertise among construction professionals. Consequently, this paper extensively explores the relationship between digital twinning implementation and construction project management performance. The Innovation Diffusion Theory (IDT) is employed to investigate this relationship, utilizing a quantitative research approach through document analysis and questionnaire surveys. Additionally, partial least squares structural equation modeling (PLS-SEM) with SmartPLS software is employed to deduce the relationship. The results underscore that digital twinning implementation significantly improves construction project management performance. Despite recognizing various challenges in digital twinning implementation, when regarded as moderating factors, these challenges do not significantly impact the established causal relationship. Therefore, this investigation aligns with the national push toward the digitalization of the construction sector, highlighting the positive impacts of digital twinning implementation on construction project management performance. Moreover, this study details the impacts of implementing digital twinning from the construction industry’s perspective, including positive and negative impacts. Afterwards, this paper addresses the existing research gap, providing a more precise understanding and awareness among construction industry participants, particularly in developing nations.

Valuation of Project Managers to Enhance Project Performance in Nigeria’s Construction Industry

Construction project management is critical to the success of construction projects, with the performance of project managers (PMRs) playing a central role. Despite its importance, previous studies have highlighted the poor performance of construction organizations in Nigeria, such as project delays and cost overruns and the need for proper project management practices. However, the specific performance of PMRs in the Nigerian construction industry (NCI) has not been extensively studied. To address this issue, this study aims to identify the causes of underperformance among PMRs in the NCI by examining the tasks where PMRs underperform and the extent of this underperformance and its effect on motivational support from organizations. Data were collected through 206 questionnaires and 36 semi-structured interviews with organizations and project managers. Descriptive analysis was conducted to evaluate project management (PM) practices as well as the level of motivational support provided to PMRs. The analysis revealed that PMRs underperform in more than 60% of tasks but outperform in 20%. Underperformance refers to the tasks in which PMRs performed less than the expected contributions set by the organization, while outperformance describes tasks where PMRs exceeded the organization’s expectations. The analysis also revealed low motivational support of PMR. Correlation analysis was conducted to investigate whether motivational support influences PMR performance, and the results indicated a two-way causal relationship between underperformance and low motivational support. This study integrated a game theory model with regression analysis to show that (stay, support) is the dominant solution for project managers and organizations, provided the net contribution of support is positive. In this context, “stay” refers to PMRs continuing working with their current organization, while “support” refers to the motivational support provided by the organization to enhance the commitment and performance of the PMRs. However, current support levels may not be enough to cause PMRs to begin to outperform. In addition, regression analysis was conducted between the degree of underperformance and motivational factors, and we conducted a preliminary simulation by increasing these values of regression coefficients. The results indicated that while motivational support from organizations can improve PMRs performance, its effectiveness is limited. Factors such as corruption, political pressures, and organizational culture have a greater impact on performance. Addressing these factors may be more crucial for enhancing performance and project outcomes than focusing only on motivational support. Therefore, the Nigerian construction industry needs to implement institutional changes alongside motivational strategies to improve PMRs performance and project success.

Interlinkage between Integration Management, Risk Factors, and Project Management Performance in the Construction Industry of UAE

Introduction: The key purpose of the present study was to investigate the role of integration management, technical risk, social risk, and project management risk in determining the performance of United Arab Emirates’ (UAE) construction sector, grounded in the theoretical foundations of agency theory and resource-based view (RBV).Methods: Data was collected through a survey questionnaire from various respondents linked with the UAE construction industry. A final valid sample of 288 respondents was utilized for both descriptive and inferential statistics. Measurement model and structural model assessments were conducted using Smart PLS.Results: The study findings showed a significant positive impact of integration management on project management performance within the construction sector. Conversely, technical risk and project management risk were found to be adversely and significantly linked with project performance.Conclusions: For achieving peak performance in the construction industry, project managers and related individuals need to mitigate the adverse impacts of the identified risk factors. Additionally, promoting integration across different functional departments and project-related activities can enhance project management performance. The study also discusses meaningful policy implications, future research directions, and limitations.

An analysis of the relationship between project management and safety management in the Norwegian construction industry

The significance of general project management performance for safety performance in construction projects is studied in a sample of Norwegian construction projects. The data used are from a benchmarking tool for performance assessment and incident data from construction projects across the industry. Statistical analysis through independent-sample Mann–Whitney U-tests is performed to test for and identify significant relationships between project management, safety management and safety performance. The analysis confirms that good overall management of a construction project positively impacts safety management. The results advocate for applying safety management as an integral aspect of all management activities in a project rather than as a disconnected sub-system. The work is novel by empirically demonstrating the impact of project management aspects on safety management in construction projects.

Investigating the role of knowledge management on the relationship between integration management, risk factors, and performance management of construction projects: a case of UAE

Introduction: This research aimed to assess the impact of integration management, social risk, and technical risk on project management performance within the construction sector in the UAE.Methods: A survey questionnaire was developed by extracting items from existing literature. A random sampling technique was used for data collection, resulting in a final valid response of 288 questionnaires. The data was empirically tested through measurement and structural models using Smart PLS.Results: The study demonstrated reliability, convergent validity, and discriminant validity of the latent constructs. The structural model results confirmed that integration management, technical risk, and knowledge management had a significant effect on construction project performance. Additionally, knowledge management significantly moderated the relationship between integration management and project performance, as well as between social risk and project performance in the UAE.Conclusions: The findings suggest that effective knowledge management can enhance project performance by moderating the impact of integration management and risk factors. Several policy implications were provided based on these results.

Sustainable Building Construction Materials in the United Arab Emirates: A Review

The construction industry, a major player in economic development, is facing increased pressure to address sustainability concerns amidst rapid population growth and urbanization. With global projections indicating a significant rise in building demand by 2050, sustainability has emerged as a crucial focus area and paradigm shift to enhance environmental friendliness, quality, and project outcomes. The UAE, renowned for its vibrant construction industry, offers a unique context for examining the integration of sustainable practices. The use of sustainable construction practices is growing in the UAE, where the built environment plays a key role in economic growth and environmental stewardship. The United Arab Emirates (UAE) aims to foster long-term sustainability while enhancing the standard of living for current and future generations by integrating social, environmental, and economic aspects within construction projects, while also reevaluating conventional sustainable development frameworks and embracing a triple bottom line approach. This research was conducted to explore sustainable construction material usage and evaluation in the United Arab Emirates. The literature was reviewed for sustainable building construction materials across the UAE in the SCOPUS index from 2014 to 2024, as well as the regional regulations concerning the subject. This study evaluated the increasing trend of sustainable construction material research works, as well as the sound regional parameters of sustainable construction materials implemented across the country. Through an exploration of the significance of sustainable construction materials, this research underscores the multifaceted benefits of locally sourced, recyclable, and renewable materials in reducing environmental impacts, fostering economic and social well-being, and improving overall project performance and project management practices. The construction sector’s role in economic development and its substantial environmental impact are discussed in alignment with sustainable construction materials, sustainable construction practices, and the need to enhance environmental sustainability and create healthier built environments. In the realm of sustainable construction materials, project management knowledge areas encompass a range of factors. These include the properties of materials sourced regionally; the incorporation of recycled content; considerations for indoor air quality, energy, and water efficiency parameters; and how these properties relate to project scopes, scheduling constraints, and challenges. Additionally, the availability of resources and competency levels, quality control standards, specifications, communication strategies, and stakeholder involvement play crucial roles. It is important to assess both the positive and negative risks associated with these elements across construction projects.

Deploying Value Engineering Strategies for Ameliorating Construction Project Management Performance: A Delphi-SWARA Study Approach

This study was carried out to rank and prioritize the aspects that have been shown to have an impact on the improvement of construction project management (CPM) performance based on value engineering. This analysis was carried out with the Iranian construction industry’s current situation in mind. The respondents and the Delphi panel were chosen from among Iranian managers and project management professionals with a focus on building projects. These professionals had more than 20 years of experience working on international projects, and in addition to their expertise in project management, they also understood the principles of earned value analysis and value engineering. Thus, the components extracted from the literature review were used as the basis for designing a structured interview based on 39 important effective components previously determined as identified factors. The questionnaires were distributed among the experts, and the returned questionnaires were analysed using the SWARA technique to rank the weight and importance of the factors. Using the SWARA method, the opinions of the expert panel members consisting of 20 engineers and a semi-structured questionnaire was used to gather expertise in project management and managers, with a focus on Iranian CPM. As shown by the results, stakeholder management, time value of money, and worth, allocated the first to the third rank to themselves with respective weights of 0.104, 0.103, and 0.087. The sub-criteria of cost objective, function objective, and value objective were in the 37th to 39th ranks with respective weights of 0.00050, 0.00033, and 0.00021.

A Nexus between Project Management Lifecycle and Performance of Slums Upgrading Projects in Nairobi City County, Kenya

The alarming rate of urban sprawl poses a social menace for city planners and governments worldwide and Nairobi city of Kenya is not an exception. Challenges of access to appropriate and affordable housing has forced majority of city residents to occupy shanties with deplorable living conditions thus, the need to improve the infrastructure in the slums. In Kenya, the government has initiated various projects in a bid to carry out a facelift of slums countrywide. Although, involvement of key stakeholders in each of the phases of project management lifecycle (PMLC) that is, project initiation, planning, implementation, Monitoring & evaluation and closure remains a critical factor to the realization of slum upgrading infrastructure development, the affected communities are not fully engaged thus thwarting effective implementation of the planned activities. In this regard, the aim of the study was to examine the influence of PMLC on performance of slums upgrading projects (PSUP). A descriptive survey research design and a correlational research design were utilized whereby data was analysed and interpreted using means, standard deviations, correlation of coefficient and correlation of determination. A sample of 266 was drawn from a target population of 794, of which 208 responded to a 5-point Likert Scale questionnaire. Qualitative data collected was presented in narrative form. Results obtained indicated a linearly positive and a very strong significant relationship between PMLC and PSUP. When all phases were combined PMLC explained 62.9% of the overall variation in PSUP. The findings indicate that a unit increase in initiation and planning stages result to an increase in PSUP by 7.77% and 1.97% respectively whereas for a unit decrease in project implementation and project M&E, PSUP decreases by 2.07% and 1.72% respectively. It was thus concluded that PMLC significantly influences Performance of Slum Upgrading Projects. The recommendation of the study was that activities pertaining to project planning, M&E and project closure phases be efficiently executed for optimum performance of the projects.

Impact of Motivation Determinants on Innovative Social Project Management Performance:The Role of Power Skills

Impact of Motivation Determinants on Innovative Social Project Management Performance:The Role of Power Skills

Project Management Performance in China: A Review

Project Management Performance in China: A Review

UNIFIDE EMPLOYEE DATA TEAM TRCKER

Abstract : A Team Track: “Unified Employee Data” provides a thorough overview of important metrics, tasks, and insights pertinent to each individual’s function inside a business, acting as a centralized center for them. With the use of this digital technology, staff members can easily access critical information, improving productivity, efficiency, and transparency all around. Fundamentally, an employee dashboard compiles information from multiple sources—such as project management software, HR systems, and performance metrics—and presents it in an intuitive manner. Employees can monitor their progress, evaluate critical updates, and remain up to date on company-wide efforts thanks to this consolidation. With its many features and functionalities, the employment dashboard acts as a focal point for effective job matching and recruitment. The dashboard uses data analytics and state-of-the-art technology to give users real-time insights into market trends, demand signals, and talent assessments. This allows users to make well-informed decisions regarding their hiring strategies and career routes. The dashboard gives staff members the ability to efficiently manage their obligations by giving them access to training materials and project timetable tracking.Additionally, the employee dashboard encourages teamwork and communication. Through the provision of real-time project progress updates Yes, the following are some important details you should provide in an abstract regarding an employee dashboard: Overview: Give a succinct explanation of the purpose of an employee dashboard in contemporary work environments. Mention how it provides a consolidated platform where staff members may access a range of tools, services, and data pertaining to their jobs and companies. Features: Emphasize the key elements that are commonly present in an employee dashboard, such as customized employee profiles, task management tools, collaboration features, access to corporate announcements, HR papers, and payroll data. Benefits: Talk about how having an employee dashboard can lead to better decision-making through real-time data analytics, increased productivity through streamlined resource access, improved communication and transparency within the company, and enhanced employee engagement. Index Terms – Chatgpt, AI tool, Java script

Characterization of the information system integrated to the construction project management systems

The construction industry wields significant influence in the economies of various countries. However, compared to sectors like manufacturing and aeronautics, it has lagged in terms of digitalization of processes and project management advancement. This study aims to explore how the integration of Lean principles, Building Information Modeling (BIM), and Project Lifecycle Management methodologies within an information system can enhance decision-making in construction project management as a complex environment. A comprehensive literature review was conducted to establish a conceptual framework and gather necessary information for designing an information system. The design was based on the viable systems model and the soft systems methodology, from a systemic perspective that encourages the synergistic interaction of these methodologies. The resulting abstract model would facilitate a comprehensive understanding of the interconnectedness of these methodologies, emphasizing collaborative work environments for efficient information management. This approach aims to replace the current isolated application of each of those methodologies and promises improved project management performance.

Changing Tourism Trends and Vulnerability Assessment of Built Environment in Hill Stations of Indian Himalayan Region.

Tourist arrivals in the Indian Himalayan region have led to an increase of 1.6 times the population of the native residents in 2019. The trend of winter tourism among foreign tourists, along with adventure and pilgrimage tourism, has resulted in an average annual growth of 28.78% between 2002 and 2013. This study focuses on the changing tourism and climatic trends in tourist hotspots of the Indian Himalayan Region (IHR) to evaluate the vulnerability of the built environment, which arises from the increasing demand for tourist infrastructure. The approach taken in this research is based on secondary literature available and case studies of emerging tourist centers in and around Shimla region of Himachal Pradesh. According to records from 2019-20, domestic tourism has increased in Himachal Pradesh by 4.57% and in Shimla by 5.51%. However, the changing trends and the tourist demand for fast, unplanned infrastructure growth can lead to over-tourism and disaster vulnerability. Therefore, there is a need to consider the risk and change management in the fragile ecosystem of IHR through analysis of climatic and tourism trends. To achieve this, computerized tools such as Real-Time Systems, Intelligent Transport Systems, and Neural networks projects are suggested for feasibility and assessment of proposed tourism infrastructure projects. The suggested process will strengthen the project vision by benefiting the policymakers, stakeholders, and tourists while maintaining eco-friendly tourism opportunities through project performance management.

Multi-modal recommender system for predicting project manager performance within a competency-based framework.

The evaluation of performance using competencies within a structured framework holds significant importance across various professional domains, particularly in roles like project manager. Typically, this assessment process, overseen by senior evaluators, involves scoring competencies based on data gathered from interviews, completed forms, and evaluation programs. However, this task is tedious and time-consuming, and requires the expertise of qualified professionals. Moreover, it is compounded by the inconsistent scoring biases introduced by different evaluators. In this paper, we propose a novel approach to automatically predict competency scores, thereby facilitating the assessment of project managers' performance. Initially, we performed data fusion to compile a comprehensive dataset from various sources and modalities, including demographic data, profile-related data, and historical competency assessments. Subsequently, NLP techniques were used to pre-process text data. Finally, recommender systems were explored to predict competency scores. We compared four different recommender system approaches: content-based filtering, demographic filtering, collaborative filtering, and hybrid filtering. Using assessment data collected from 38 project managers, encompassing scores across 67 different competencies, we evaluated the performance of each approach. Notably, the content-based approach yielded promising results, achieving a precision rate of 81.03%. Furthermore, we addressed the challenge of cold-starting, which in our context involves predicting scores for either a new project manager lacking competency data or a newly introduced competency without historical records. Our analysis revealed that demographic filtering achieved an average precision of 54.05% when dealing with new project managers. In contrast, content-based filtering exhibited remarkable performance, achieving a precision of 85.79% in predicting scores for new competencies. These findings underscore the potential of recommender systems in competency assessment, thereby facilitating more effective performance evaluation process.

Rise above prejudice against personality: Association with personality and interactive collaboration in team creativity performance

Creative discussions and interactions represent the main work model in many organizations. Team collaboration usually turns out to be more creative than individual work because, for example, it is able to gather information from different fields. However, differences in personality among team members may trigger conflicts, affect collaboration efficiency, and potentially affect the team's creative outcomes. Therefore, it is essential to explore the relationship between team members' personalities and their interactions within the team in the context of creativity.Initially, this study confirmed significant correlations between the personality traits of team members and their collaborative behaviors at an individual level. Furthermore, it verified significant correlations between individual interactive behaviors and team creativity. The study noted that groups characterized by low agreeableness and high neuroticism traits were more likely to achieve heightened levels of creativity. Quantitative analysis of team interaction behavior data revealed significant correlations between agreeableness and spontaneous behaviors, as well as neuroticism traits and contending behaviors. Qualitative analysis of teamwork unveiled that an increase in behaviors linked to these traits effectively enhanced the diversity and equilibrium of team interaction. Finally, qualitative analysis extracted interactive features of highly creative teamwork performances, such as more balanced durations of team member speaking times and relatively consistent interaction frequencies among members across various design stages.These findings establish a solid foundation for accommodating and supporting members with diverse personality traits within creative teams. They also indicate we can create a collaborative environment beneficial for team creativity by recruiting the right members or adjusting intra-team interactions. Moreover, these insights shed light on how design teams can improve their project management and creative performance.

Importance and Performance Analysis of Construction Management Activities in Construction Projects in Pulang Pisau Regency Based on Contractor Perceptions

Construction is a system that always involves many parties from the planning, implementation (doing), until controlling which in the process can cause problems that will affect project performance. In the implementation of construction projects, problems often occur, including the extension of work execution time, delays, additional project costs and work results that are not in accordance with the planned quality. This study aims to identify and make instruments measuring the effect of management activities on the performance of construction projects in Pulang Pisau Regency. There are 120 variables used to measure project management performance from two viewpoints of the level of satisfaction/perception and interests/expectations. Then an evaluation using the Importance Performance Analysis (IPA) method is performed. From the results of the analysis by the Importance Performance Analysis (IPA) method it can be seen that project management activity variables are the top priority that need to be improved in order to improve construction project performance, including 12 variables which are divided into 4 variables each at the planning stage, 3 variables at the implementation stage, and 5 variables at the control stage.