Communication is widely recognized as a core managerial competence in complex project environments. This study investigates how project professionals perceive the influence of project managers' communication competencies on five dimensions of project success: project efficiency, team satisfaction, client satisfaction, business success, and long-term organizational capability development. Using the multidimensional framework of Shenhar and Dvir, data were collected through a cross-sectional survey of 257 professionals across industries. Communication competencies were operationalized as a multidimensional construct covering verbal, graphical, formal, informal, and interpersonal behaviors. The findings indicate a consistently strong perceived association between communication competencies and all success dimensions, particularly client satisfaction and business performance. The results emphasize the transversal role of communication in project governance and highlight its strategic importance in digitally mediated and stakeholder-intensive project settings.
Agile methodologies are widely adopted in software development projects; however, their effectiveness varies across contexts. Prior research has focused primarily on procedural routines, providing limited insight into the cognitive and behavioral mechanisms through which Agile practices enhance performance, particularly within emerging economies. This study investigates the mediating roles of perceived shared mental models and team adaptability in the relationship between Agile practices and team performance. Survey data were collected from 252 software professionals in Vietnam and analyzed using mediation analysis (PROCESS Model 4) with bootstrap resampling and robust standard errors. The findings indicate that Agile practices enhance team performance both directly and indirectly through perceived shared mental models and adaptability. By proposing a dual-pathway model of Agile effectiveness, this study advances Agile and project management research while offering practical implications for strengthening Agile adoption through shared cognition and adaptive capabilities.
A survey distributed to over 150 construction professionals yielded 123 valid responses to identify the root causes of delays in the construction industry and assess their impact on project outcomes. The findings underscore project management inefficiencies as the predominant cause of project timeline disruptions. Key contributors include scope changes, communication breakdowns, stakeholder disputes, approval delays, and sluggish decision-making by project managers. Additionally, limited access to advanced construction techniques, inadequate funding, and ambiguous financial processes impede timely project completion. The study employed statistical analysis to support these findings, revealing a significant correlation between project delays and both project management factors (r = 0.358, p-value < 0.01) and financial constraints (r = 0.313, p-value < 0.01).
This study illuminates innovation and its importance in determining economic and social growth. However, obstacles and challenges hinder the successful implementation of innovation. This study aims to revolutionize the role of the project management office (PMO) as a critical enabler for promoting and managing the innovation process and deepen our knowledge of a specific concept, focusing on depth rather than breadth. By adopting the narrative literature review, the initial search identified 655 articles; however, the final dataset included 59 articles analyzed to investigate the association between PMO and innovation. The findings reveal the capabilities required for successful innovation projects, which can be classified as dynamic innovation and project capabilities. The study findings have practical implications for organizations choosing and aligning the right PMO design with their organizational, strategic, and innovation objectives.
International frameworks and accreditations define the core competencies required of information technology (IT) project managers. Among these, technical skills are often cited as important, particularly in IT-focused projects. However, the technical competencies required-and the extent to which project managers should possess them-remain unclear. The literature on this topic is limited, though existing studies indicate that technical proficiency contributes to project success in technical domains. To explore this gap, semi-structured interviews with IT project managers and project participants were undertaken to examine perceptions of technical skills. Findings reveal a divide between participants with technical education, who emphasized the necessity of technical expertise, whereas those without technical qualifications highlighted communication, motivation, and attitude as most critical. The study contributes insights into the strategic value that technical capability adds to IT project management effectiveness through the strategic capability model for technical project management.
International frameworks and accreditations define the core competencies required of information technology (IT) project managers. Among these, technical skills are often cited as important, particularly in IT-focused projects. However, the technical competencies required—and the extent to which project managers should possess them—remain unclear. The literature on this topic is limited, though existing studies indicate that technical proficiency contributes to project success in technical domains. To explore this gap, semi-structured interviews with IT project managers and project participants were undertaken to examine perceptions of technical skills. Findings reveal a divide between participants with technical education, who emphasized the necessity of technical expertise, whereas those without technical qualifications highlighted communication, motivation, and attitude as most critical. The study contributes insights into the strategic value that technical capability adds to IT project management effectiveness through the strategic capability model for technical project management.
This study investigated the impact of information systems (IS) success on Project Success (PS) within hybrid and remote work environments, drawing empirical evidence from the world's largest consulting firm. By integrating the DeLone and McLean IS success model with established PS frameworks, the research examined how IS components-system quality, user satisfaction, and use/ intent to use-influence key PS dimensions: project management success, impact on the team, impact on the customer, and project investment success. Data from 198 employees were analyzed using structural equation modeling, confirming all hypothesized relationships. Results revealed that IS net benefits significantly enhance PS across all dimensions, while system quality and user satisfaction further drive IS effectiveness. The study underscores the critical role of robust digital infrastructure in optimizing project outcomes, offering theoretical insights and practical recommendations for organizations navigating hybrid work models. Limitations and future research directions are also discussed.
Modern computing systems are undergoing rapid transformation through theoretical advances and technical innovations. This article explores the technological and application trends in quantum-driven artificial intelligence (AI) innovations. The authors explore the mathematical frameworks underlying AI and quantum computing systems, with a particular focus on the role of algebraic topology in quantum circuit optimization and error correction. From neural networks to transformers, they investigate how AI architectures are reshaping computational capabilities, such as in healthcare, autonomous systems, and real-time computing. They highlight key hardware advances such as 3D stacked memory, neuromorphic chips, and quantum computing integration. They identify key challenges and limitations by focusing on ethical considerations, computation constraints, and scaling issues. This article looks ahead at research in quantum and AI, highlighting emerging technologies, potential breakthroughs and emerging trends, and spotlighting technological convergence and research trajectories.
The escalating impacts of climate change necessitate innovative urban planning and management strategies to safeguard communities against extreme weather events. This study explores the creation of climate shelters areas with the use of technologies, namely a mobile application, within the urban center of Braga, Portugal. Utilizing Geographic Information Systems (GIS) project, we mapped areas of extreme heat risk, assessed urban vulnerabilities, and proposed adaptive strategies to enhance resilience through of a climate shelters mobile application. This paper sets out to explore the importance of creating climate shelters in the urban center of the city of Braga, namely within the city's ring road, assessing both the challenges posed by climate change and the opportunities that arise from implementing adaptive solutions. This type of study aims to adopt innovative and sustainable approaches in the city of Braga and other territorial areas, as well as more resilient in the face of the climate challenges of the 21st century.
This study investigated the impact of information systems (IS) success on Project Success (PS) within hybrid and remote work environments, drawing empirical evidence from the world's largest consulting firm. By integrating the DeLone and McLean IS success model with established PS frameworks, the research examined how IS components—system quality, user satisfaction, and use/intent to use—influence key PS dimensions: project management success, impact on the team, impact on the customer, and project investment success. Data from 198 employees were analyzed using structural equation modeling, confirming all hypothesized relationships. Results revealed that IS net benefits significantly enhance PS across all dimensions, while system quality and user satisfaction further drive IS effectiveness. The study underscores the critical role of robust digital infrastructure in optimizing project outcomes, offering theoretical insights and practical recommendations for organizations navigating hybrid work models. Limitations and future research directions are also discussed.
Modern computing systems are undergoing rapid transformation through theoretical advances and technical innovations. This article explores the technological and application trends in quantum-driven artificial intelligence (AI) innovations. The authors explore the mathematical frameworks underlying AI and quantum computing systems, with a particular focus on the role of algebraic topology in quantum circuit optimization and error correction. From neural networks to transformers, they investigate how AI architectures are reshaping computational capabilities, such as in healthcare, autonomous systems, and real-time computing. They highlight key hardware advances such as 3D stacked memory, neuromorphic chips, and quantum computing integration. They identify key challenges and limitations by focusing on ethical considerations, computation constraints, and scaling issues. This article looks ahead at research in quantum and AI, highlighting emerging technologies, potential breakthroughs and emerging trends, and spotlighting technological convergence and research trajectories.
The escalating impacts of climate change necessitate innovative urban planning and management strategies to safeguard communities against extreme weather events. This study explores the creation of climate shelters areas with the use of technologies, namely a mobile application, within the urban center of Braga, Portugal. Utilizing Geographic Information Systems (GIS) project, we mapped areas of extreme heat risk, assessed urban vulnerabilities, and proposed adaptive strategies to enhance resilience through of a climate shelters mobile application. This paper sets out to explore the importance of creating climate shelters in the urban center of the city of Braga, namely within the city's ring road, assessing both the challenges posed by climate change and the opportunities that arise from implementing adaptive solutions. This type of study aims to adopt innovative and sustainable approaches in the city of Braga and other territorial areas, as well as more resilient in the face of the climate challenges of the 21st century.
Introducing technological change into an organization is a difficult undertaking, so it is not unexpected that firms struggle in their pursuit to achieve the desired level of quality for IT project outcomes. The purpose of this research is to examine the Deming management method to determine if its theories about quality management can be applied to IT projects. Survey data was collected from 168 IT professionals and analyzed. The results provide strong empirical support for the application of the Deming management method to address this persistent problem. In particular, the results support all hypothesized relationships among the quality management concepts comprising the Deming model, while at the same time the Deming model provides strong predictive ability for both customer satisfaction with IT project deliverables and meeting project performance goals of budget, schedule, and system functionality.
Ecosystems are our planet's life-support systems that facilitate sustainable development. Within the marine ecosystem, oysters serve as a keystone species. Numerous oyster restoration projects have been launched with a crucial element involving precise assessment of oyster population sizes within specific reef areas. However, the current methods of tracking oyster populations are approximate and lack precision. To address this research gap, the authors developed an AI-empowered project for oyster detection. Specifically, they created a dataset of wild oysters, utilized Roboflow for image annotation, and employed image augmentation techniques to augment the training data. Then, they fine-tuned a YOLOv8 computer vision object detection model using their dataset. The results demonstrated a mean average precision (mAP) of 85.2 percent and an accuracy of 87.7 percent for oyster detection. This approach improved upon previous attempts to detect wild oysters, offering a more effective solution for population assessment, which is a fundamental step toward sustainable oyster restoration project management.
This study investigates the factors influencing project managers' work performance, including decision-making, analytical, technical, interpersonal, and communication skills, with emotional intelligence as a potential moderator. Conducted within the Pakistani software industry, a comprehensive field survey using a well-designed questionnaire ensured reliable and valid data collection. The statistical findings confirm the positive impact of all five skill sets on project managers' work performance. Notably, emotional intelligence moderates the effects significantly for communication, interpersonal, and analytical skills. This research provides valuable insights into the critical attributes shaping project managers' effectiveness, offering a unique perspective by considering emotional intelligence as a potential enhancer or inhibitor of these skills' impact on work performance.
The current article puts forward the following hypothesis: leadership potential is the key to the effectiveness of changes taking place within business structures to ensure their functioning in the markets. In this context, the authors conducted research on leadership potential of the business structures operating in Ukraine. The following objectives have been specified: 1) to analyze and evaluate the development of leadership potential at Ukrainian enterprises and develop its regulation; 2) to provide tools for the enterprise change assessment in the dynamics by means of leadership potential. Fifteen enterprises of the textile industry of Ukraine have been involved in the research. Analysis is based on a random sample of 300 respondents. The analysis of the dominance of the activated change management system conducted on the basis of resultant leadership has revealed that leadership potential is the key factor for change.
The purpose of the work is to demonstrate the results of modeling the impact of innovation on the efficiency of operating costs for crop production by agricultural enterprises. Based on the dialectical method of cognition, abstract-logical, and graphic methods were used; nonlinear correlation-regression analysis and economic-mathematical modeling It is established that the innovations of technical and technological character contribute to the increase of the extremum of the yield function. At the same time, the impact of innovation on the profit function is twofold. In the case of free product innovation, an increase in output estimated at market prices generates an increase in the extremum of the profit function while increasing the profit optimum of costs. That is why the latter is approaching the technological optimum. In turn, the innovation payoff affects the profit curve, reducing the value of the cost optimum and the function extremum. However, a significant increase in the cost of an innovative product can lead to a decrease in profit below the achieved level.
The motivation of the research is to find the answer to why the reform of decentralization of government in Ukraine does not contribute to the sustainable development of the countryside and the peasantry. The objective of the article is to substantiate the managerial principles used to ensure sustainable development of rural territories based on the establishment of a village preservation model of the agrarian system in Ukraine. The article identifies basic features of rural development policy and management using various agrarian system models, in particular, the agricultural holding model, which is currently being implemented in Ukraine, and the village preservation model, which is proposed for implementation in order to preserve and revive rural life in Ukraine. The main achieved results include managerial principles of sustainable rural development in the village preservation model of the agricultural system.
The literature revealed approximately 50% of IT-related projects around the world fail, which must frustrate a sponsor or decision maker since their ability to forecast success is statistically about the same as guessing with a random coin toss. Nonetheless, some project success/failure factors have been identified, but often the effect sizes were statistically negligible. A pragmatic mixed methods recursive approach was applied, using structured programming, machine learning (ML), and statistical software to mine a large data source for probable project success/failure indicators. Seven feature indicators were detected from ML, producing an accuracy of 79.9%, a recall rate of 81%, an F1 score of 0.798, and a ROCa of 0.849. A post-hoc regression model confirmed three indicators were significant with a 27% effect size. The contributions made to the body of knowledge included: A conceptual model comparing ML methods by artificial intelligence capability and research decision making goal, a mixed methods recursive pragmatic research design, application of the random forest ML technique with post hoc statistical methods, and a preliminary list of IT project failure indicators analyzed from big data.
