103 resultados para Project performance Infrastructure

em Deakin Research Online - Australia


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The aim of this paper is to investigate the relationship-based factors that affect performance of general building projects in China. Thirteen performance metrics that may be used to measure the success level of construction projects are defined and categorized into four groups namely cost, schedule, quality and relationship performance. Fourteen risks inherent in relationships and 16 tools expected to facilitate relationship building that may affect project success are identified. Data of different projects were collected in China via a self-administered postal survey. Multiple linear regression models are developed to help explain the variance in different performance metrics. It has been found that ten risks and nine tools have either positive or negative influence on project performance to some different extents and in different project development process stages. Detailed explanations are made, especially to those variables bearing unexpected signs. It is recommended that firms in the Chinese construction industry manage the relationship-based factors that are significant in the MLR models so as to achieve project success.

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The aim of this paper is to investigate the relationship-based factors that affect performance of general building projects in China. Eight performance metrics that may be used to measure the success level of construction projects are defined and categorized into two groups namely 'hard' and 'soft' performance. Eight indicators of risks inherent in relationships and seven indicators of tools expected to facilitate relationship building that may affect project success are identified. Data of different projects were collected in China via a self-administered postal survey. By using structural equation modelling techniques, a structural model is developed to help explain the relationship among different variables. It has been found that relational risk has negative influence on project performance. It is recommended that firms in the Chinese construction industry manage the relationship-based factors that are significant in the model so as to achieve project success.

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The Pinoke Project is a 6 week creative development to create a full-length transmedia dance performance at the cutting edge of artificially intelligent technology, elite contemporary dance practice, and publication. This process will be a collaboration between creative coders, 3D graphics and motion artists, a dance/choreographer, and an embedded dance critic who will work with an artificially intelligent robot, Pinoke, on the creative development of a new stage production as well as the documentation and dissemination of the process. This project is supported by the Victorian Government through Creative Victoria.

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International comparisons of construction industry performance are notoriously difficult. A recent comparative study, extensive in scope and using an innovative approach, is reviewed and questions raised regarding various aspects of the methodology adopted, the validity of the conclusions drawn and manner in which outcomes were reported. Particular areas of concern include the unequivocal statement of conclusions that are based on a small sample, and the use of data from that sample that are, in fact, no more than estimates of project performance. Attention is drawn to the limitations of the research reported and the reliability of the methods used, and the data gathered is examined.

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Choreographer Kim Vincs and Scenographer Matthew Delbridge worked with dancer, Carlee Mellow, musicians Rob Vincs, Scott Dunbabin and Eugene Ughetti to create a virtual visual performance where performer's movement was rendered using a motion capture system and projected onto translucent screens.

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With the inevitable increase in size and complexity of construction projects, the need for proper control is increasing. Considering the fact that each project strives for excellence, numerous studies have been conducted over the years to measure performance and investigate factors that are really critical towards project success. Earned Value Management is a project performance evaluation technique which enables industry professionals to closely monitor project performance in both time and cost .The aim of this paper is to examine the result of proper Earned Value Management (EVM) implementation on different project life cycle (PLC) and validate the impact on project success.

The study investigates different success factors in construction industry with special focus on previous researchers’ work which studied the importance of cost control in project success especially in fragmented industry like construction, followed up with three different case studies to analyze the positive impact of EVM implementation on construction projects. Furthermore, for data triangulation purpose, case study analysis will be supported by interviews with specialists working in the UAE construction industry to cross check the outcomes of previous researches.
The research shows that EVM application on cost control in construction projects is not only a crucial management task which is a key to the success of the business but also its influence on project success depends on the time of implementation. It requires a number of up-to-date input data consistently throughout the construction phase. Assigning the right budgets, calculating accurate estimates and monitoring actual costs throughout different project stages are the three main drivers of an effective control through PLC staring from inception stage till completion. EVM proved to be of vital importance due to alarming escalation of construction costs which needs to be especially monitored and controlled. Senior management support and availability of professional staff to execute cost control systems are key factors towards successful implementation

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Literature on IS project control distinguishes between hierarchical and market-based control relationships. Prior studies typically investigate one of these two forms of control relationships in isolation. Hence, little is known about the differences between hierarchical and market-based control relationships. Responding to this gap, we analyze how the effects of control modes on IS project performance differ in hierarchical compared with market-based control relationships. Specifically, we conduct a metaanalysis to compare the effects of control modes on IS project performance reported in research on hierarchical and market-based control relationships. The results suggest that the effects of behavior and self-control on performance differ between these two forms of control relationships. Based on our results, we derive implications for complementary and substitutive effects between control modes, and for interrelations among hierarchical and market-based control relationships.

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A major contributory factor to poor project performance in the construction industry is known to be the lack of integration and coordination between the different disciplines involved in various stages of the procurement process. Attempts by researchers to address this problem have met with limited success, as they have focused mainly on adapting integration techniques originally developed for use in the manufacturing industry. There is therefore a need to develop a detailed understanding of the fundamental sciences that underpin the problem of integrating the procurement process across the construction project life cycle. Presents and discusses a research model for addressing major methodological issues in the analysis of design/construction relationships.

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This article presents a model of growth of naturally occurring heterotrophic bacteria in the bulk water phase in the absence of disinfectant. The model considers growth with carbon, phosphorus, and nitrogen balance, death and lysis of bacteria, and conversion of less biodegradable organic carbon to assimilable organic carbon. Experimental data from two raw and two treated waters were used to test the model. The model describes the increase of live and dead bacterial cells in the water phase, and its output closely matches the experimental data. Such a model has the ability to characterize water nutrient status as well as to predict behavior of indigenous heterotrophic bacteria. The ability to predict bacterial population dynamics with respect to nutrients is beneficial for water treatment optimization. The model, based on microbiological measurements, helps to characterize treated water quality and project performance in terms of water quality into a distribution system.

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Project sponsorship is assumed to be critical to the success of information systems development and implementation. However, there is limited research on the effect of vendor-based sponsorship on the management of information technology (IT) projects. This paper contributes to that emerging body of evidence. Drawing on literature on psychological contract, management control and project sponsorship, the authors propose that vendor-based sponsors influence project performance in two main ways. One is to protect project quality by renegotiating contract with the client; and the other is to resource the project. Based on a survey of senior managers in IT services vendor organisations, it reports that project sponsorship improves the quality, but not the cost or timeliness, of vendor delivery of IT projects. The findings suggest that IT services vendors can improve their project delivery capability by appointing project sponsors.

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Purpose – Building upon the results of a critical review of previous studies, the purpose of this paper is to present a framework to enhance the reliability of the theoretical model for international benchmarking of labour productivity (TMIBLP) method for construction project activities. The next part of the paper presents the results of implementing the proposed framework for construction activities in the Iranian construction industry. Design/methodology/approach – This paper draws upon a critical review of the literature to highlight the drawbacks of the previous studies concerning implementing TMIBLP within the construction industry. Identifying these shortcomings, the authors propose a framework for construction projects, which presents the procedure for deploying TMIBLP for construction activities in a reliable manner. The final section of the paper demonstrates the empirical implementation of the proposed framework within the Iranian construction industry. Findings – The primary contributions of the paper include: identifying the drawbacks of previous studies within the construction context, the framework that would lead construction managers towards more reliable implementation of benchmarking for construction projects, and determining the baseline of erecting steel structures in a developing country. Practical implications – A practical implementation of the TMIBLP method was presented to address the lack of research in Iran and to show the feasibility of using the framework developed. The authors investigated the daily labour productivity for the activity of structural steel erection for six projects in Tehran in order to determine the values of the baseline productivity for each project. Accordingly, the disruption index, performance ratio and project management index as the project benchmarks were calculated for all six projects. Originality/value – Underlining the necessity of implementing methods such as TMIBLP, this study outlines the outcomes of the first study on the benchmarking of construction activities deploying the proposed framework and using the data on erecting steel structures from six construction projects in Iran. The discussions provide guidelines for construction project managers regarding benchmarking labour productivity. The paper concludes with suggestions for future research opportunities.