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EN
This study aims to determine the impact of cash flow variation in Jordanian construction projects from contractors’ perspective and its relationship with project performance. An online questionnaire was developed and distributed to a selective sample. The respondents were project managers from contracting companies working in Jordan, around 340 construction companies. The sample frame was a form of non-probability sampling of 181 project managers. The collected data were analysed using the Statistical Package of the Social Sciences (SPSS) version 25. The study results showed a positive statistically significant effect at the significance level (α ≤0.05) of cash flow variation on project performance in Jordanian construction projects. In addition, respondents indicated a high level of agreement on the impact of cash flow variation on projects’ performance, with a mean of 4.01 and a standard deviation of .546. However, on the project performance dimensions’ level, Quality came first, with a mean of 4.11 and at a high level, followed by Safety, with a mean of 4.01 and at a high level, while Final Cost ranked third with a mean of 3.96 and at a high level. Finally, Project Final Duration ranked fourth with a mean of 3.95. The researchers recommended the necessity of more efforts for a better understanding of the importance of cash flow by contractors to schedule project activities correctly and efficiently to maintain a steady state of the project cash flow.
EN
This research study explores the relationship between customer focus and the performance of construction projects undertaken by small companies. Additionally, process management in these companies has been studied as a mediator in explaining the relationship between customer focus and project performance. A moderated mediation model has been proposed to investigate the role of strategic planning and its effects on project outcomes. Data was gathered from 326 staff members working at different levels of management in some of Pakistan’s emerging construction companies owned by young entrepreneurs. The study’s findings revealed a positive relationship between customer focus and project performance mediated by process management. Moderation analysis indicates a significant relationship between process management and project performance when moderated by strategic planning. Constraints to the study have been identified, and suggestions for future research have been offered.
EN
Megaprojects are very large-scale complex ventures that involve multiple stakeholders and influence millions of lives. In the literature, leadership styles and governance have been found to have significant relationship with project performance. However, majority of the research on megaprojects are in the Western contexts. Thereby, the emerging economies in Middle East, which have seen many megaprojects in recent times, provide unique setting to test various theories. Based on the review, a theoretical model relating various leadership styles and governance with project performance is proposed. The proposed model is empirically tested using data from 157 senior managers from megaprojects in Qatar. The results of the study shows a positive relationship between transformational style of leadership and megaproject performance. It also establishes positive relationship between project governance and megaproject performance. However, no relation was found between transactional style and passive style of leadership with megaproject performance. The results of the study provides managers direction to develop mechanisms to facilitate transformational leadership development. Further, top managers need to be proactively involved in the project governance for smooth and successful implementation of organizational strategies leading to megaproject success.
PL
Megaprojekty to złożone przedsięwzięcia na bardzo dużą skalę, które obejmują wielu interesariuszy i wpływają na miliony istnień ludzkich. W literaturze stwierdzono, że style przywództwa i zarządzanie mają istotny związek z wynikami projektu. Jednak większość badań nad megaprojektami odbywa się w kontekście zachodnim. W ten sposób wschodzące gospodarki na bliskim Wschodzie, które w ostatnim czasie były świadkami wielu megaprojektów, zapewniają wyjątkowe warunki do testowania różnych teorii. Na podstawie przeglądu zaproponowano model teoretyczny łączący różne style przywództwa i zarządzania z wynikami projektu. Proponowany model jest testowany empirycznie z wykorzystaniem danych od 157 menedżerów wyższego szczebla z megaprojektów w Katarze. Wyniki badania wskazują na pozytywny związek między transformacyjnym stylem przywództwa a wynikami megaprojektu. Ustanawia również pozytywny związek między zarządzaniem projektem a wydajnością megaprojektu. Nie znaleziono jednak związku między stylem transakcyjnym a pasywnym stylem przywództwa a wydajnością megaprojektu. Wyniki badania wskazują menedżerom kierunek rozwoju mechanizmów ułatwiających rozwój przywództwa transformacyjnego. Ponadto kierownicy najwyższego szczebla muszą aktywnie uczestniczyć w zarządzaniu projektem, aby zapewnić płynne i skuteczne wdrażanie strategii organizacyjnych prowadzących do sukcesu megaprojektu.
EN
Previous research demonstrates the importance of social capital, environmental complexity, goal orientation, and project performance. However, the influence of these factors on project performance is unclear and was examined singly, i.e., each factor was studied separately in connection with project performance. The aim of this paper is to examine which configurations of selected factors, such as goal orientation, social capital, and environmental complexity, affect project performance in project-based organizations. This paper argues that these factors simultaneously affect project performance, in different configurations. This study applies fuzzy set Qualitative Comparative Analysis (fs/QCA), which points to three configurations of conditions that influence project performance in project-based organizations. These findings help complement some of the results of previous studies on project performance.
EN
Construction projects are more often than not plagued by poor performances such as delays, cost overrun, low productivity, construction wastes and compromised quality. Amongst the critical contributory factors of poor project performances, is the ineffectiveness of materials management occurring in the construction sites. Indeed, materials management is a very important component for construction projects. However, there are only limited numbers of research available regarding this topic. Thus, this research focuses its study on materials management, specifically in identifying the influential factors that affect materials management in the construction project activities. Literatures from books, journal articles and conference papers related to poor project performances and materials management have been reviewed. Consequently, this study sorted the salient influential factors and categorized them based on their specific group. Out of 47 factors identified, they are classified into 8 groups. They are (1) site condition; (2) planning and handling on site; (3) management; (4) materials; (5) supplier and manufacturer default; (6) transportation; (7) contractual; and (8) governmental interferences. In conclusion, this study contends that by identifying the influential factors affecting materials management, it will help construction players to avoid the occurrence of those factors and will minimize the negative impacts on the overall performance of construction projects. Hence, the handling-over of project will be according to schedule and not delayed by materials mismanagement.
6
Content available remote Defect inflow prediction in large software project
EN
Performance of software projects can be improved by providing predictions of various project pcharacteristics. The predictions warn managers with information about potential problems and provide them with the possibility to prevent or avoid problems. Large software projects are characterized by a large number of factors that impact the project performance, which makes predicting project characteristics difficult. This paper presents methods for constructing prediction models of trends in defect inflow in large software projects based on a small number of variables. We refer to these models as short-term prediction models and long-term prediction models. The short-term prediction models are used to predict the number of defects discovered in the code up to three weeks in advance, while the long-term prediction models provide the possibility of predicting the defect inflow for the whole project. The initial evaluation of these methods in a large software project at Ericsson shows that the models are sufficiently accurate and easy to deploy.
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