189 research outputs found

    The Necessity of Management Team Formation and Its Effect on Civil Engineering Projects Success

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    Success of a project is one of the greatest and most important goals and concerns of mangers and all people involved in a project. The purpose of state civil engineering projects success is to decrease cost and time as well as increasing the quality and satisfaction of society and government as the main customers. Many factors influence civil engineering projects success and identifying them highly help the successful implementation of civil engineering projects. As one of the most important factor, it can be referred to project management team. The main purpose of the present study is to find the effective relation between management team formation and civil engineering projects success. To this end, library and field methods have been used. To gather required data, a 15-item questionnaire has been employed and distributed among 30 managers of successful state projects, including employer, consultant and contractor. The obtained data has been analyzed using descriptive method. As the findings revealed, weakness of managerial factors avoids complete success of state civil engineering projects implementation. The study also has concluded that team formation is highly important to organize project; management team enabling is regarded necessary for organizational projects success, and work relation of team members plays an important role in project management success

    Designing a Comprehensive Evaluation Model for Health System Reform Plan in Iran: An Approach to Extended Balanced Scorecard

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    Background: Health and striving to maintain and promote it has always been an important priority in governments, communities, and public policies. To implement health objectives through the Fifth Five-Year National Development Plan of Iran, the health system reform plan with three approaches to the financial protection of the public, creating equity in access to health services, and improving the quality of services has been on the government's agenda since 05.05.2014. Investigations revealed that the lack of a comprehensive and scientific model for evaluating this national program is evident. This study aimed to design a comprehensive model of health reform plan evaluation in Iran. What distinguishes this study from previous studies is the simultaneous attention to the challenges of performance evaluation, social responsibility, and examining them in a comprehensive and coherent model.Materials and Methods: The present study considered as descriptive-survey research in terms of strategy. The research method was a combination that conducted from 2018 to 2019. The sample size of the qualitative part of the research consisted of 17 academic and executive health experts selected by purposive non-random sampling. In the quantitative part of the study, 400 health service providers selected by stratified random sampling. In this study, content analysis and Delphi technique, and Expert choice v24, SPSS V22 and AMOSV14 software were used to collect, classify, deduce and exploit data, and questionnaires.Results: The findings of this study resulted in the design of a 900-scorecard model of the comprehensive evaluation of the health system reform plan in Iran based on 5 dimensions (finance, social responsibility, growth and learning, clients and internal processes), 17 components and 70 indicators.Conclusion: The findings of the quantitative section of the study showed that the indicators, dimensions and levels of the comprehensive evaluation model for health system reform plan in Iran (CEHSRP-IR) qualified for evaluation of the effectiveness of this national program at different organizational levels and executing units of health system reform plan in Iran

    Prediction of Highway Noise Pollution Level by Model FHWA -TNM (Case Study: Vakilabad Highway in Mashhad-Iran)

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    This study aimed to model the noise pollution level in 9th and 11th districts of Mashhad municipality (Vakilabad highway) by using Traffic Noise Model (TNM 2.5). To this end, the equivalent sound level measurement of the 25 high-traffic stations selected along the Vakilabad highway in Mashhad was carried out by the TES-1358 sound level meter, for 6 months and each month for 1 working day in the year’s 2017. Traffic volume data was also measured to level the day by the wood line method and then the total data was introduced to model the traffic noise volume in the area. The assessment of the traffic noise of the study area in the model showed that the average equivalent sound level calculated by the model for the stations measured at Vakilabad highway is 6.51 dB less than the recorded values by the sound meter in the real environment by the average of 78 dB. In addition, the results of this study indicated that the TNM could provide a reasonable prediction of traffic volume and its distribution on the Vakilabad highway in Mashhad, due to providing a similar ranking of areas with low or high noise pollution and also displaying acceptable values of Leq calculated as compared to recorded sound values in the real environment
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