پارس پروژه پرتال خدمات دانشگاهی
کد محصول:M130
قیمت فایل ترجمه شده: 10000تومان
تعداد صفحه انگلیسی: 7
سال نشر: 2006
تعداد صفحه ترجمه فارسی: 9 صفحه PDF
عنوان فارسی:
مقاله ترجمه شده مديريت ريسک پروژه
عنوان انگلیسی:
Project risk management
چکیده فارسی:
فرمت فایل ترجمه pdf می باشد
هدف – هدف از اين مقاله،توسعه درک درستي از مسائل مربوط به مديريت ريسک پروژه هاي کتابخانه ديجيتال و همچنين روش هايي براي کاهش ريسک
طرح/روش/رويکرد – با استفاده از شواهد –اين مقاله با استفاده از تحقيقات ديگران در اين حوزه ،به تشريح مسائل ريسک درون يک پروژه پرداخته و سپس به تعريف مدلي براي کاهش ريسک در پروژه مي پردازد.
يافته ها: در اين مقاله در ميابيم که درک مدريت ريسک مستلزم درک عواملي است که منجربه ريسک هاي پروژه مي شود. اولين گام در ارزيابي ريسک، شناسايي ريسک ميباشد.ريسک هاي شناسايي شده براي تجزيه و تحليل و ميزان احتمال ريسک استفاده مي شود. در حالي که چندين روش براي تجريه و تحليل ريسکها وجود دارد اکثر مديران پروژه ،استفاده از انواع فرآيند تصميم گيري مبتني بر ماتريس را به ديگر روش ها ترجيح ميدهند.مديران پروژه موفق در ارتباط با احتياجات خود ،از ارتباطات بوسيله خطوط باز در سرتاسر سازمان استفاده مي کنند.
اصالت / ارزش – اين مقاله شکاف مديريت پروژه هاي ديجيتال را، از طريق درک مسائل مربوط به ريسک پروژه و چگونگي اجتناب از آن پر کرده و در نتيجه احتمال بيمه بيشتر پروژه هاي خود را به يک نتيجه موفق و رضايت بخش ميرساند.
کليد واژه ها: کتابخانه ديجيتال، مديريت پروژه،مديريت ريسک ، تجزيه و تحليل ريسک نقطه نظرات استفاده شده در اين مقاله است.
Abstract
Purpose – The aim of this article is to develop an understanding of the issues related to risk management in digital library projects as well as techniques for mitigating risk in these projects. Design/methodology/approach – Using evidence from other research in the area, this article outlines the major risk issues within a project and then defines a model for mitigating risk within a project. Findings – The article finds that understanding the risk management entails understanding the underlying factors that contribute to project risks. These risks are often the same, regardless of the nature of the project. The first step in risk assessment is risk identification. Once risk identification is complete, risk analysis is used to identify the likelihood the risks that have been identified will happen. While there are several formal methods that can be used for risk analysis, many project managers use some type of matrix-based decision process for analyzing and evaluating project risk. The most successful project managers maintain open lines of communication throughout their organizations to stay in touch with constituent’s needs. Originality/value – This article fills a gap in the digital project management literature by helping project managers understand the issues related to project risk and how to avoid them, thereby insuring greater probability their project will come to a successful and satisfying conclusion.
Keywords Digital libraries, Project management, Risk management, Risk analysis Paper type Viewpoint
Introduction
Risk management is something that is more frequently associated with bridge building, mechanical engineering, or actuarial science than digital library projects. Yet, one of the critical aspects of good digital library project planning and management is risk management. One way of defining “risk” is that risk is a problem that has not happened – yet. While this may be a bit simplistic, it does get to the core of the issue a project manager faces: “What are the problems I might encounter while performing this project and how do I avoid them?” Given the critical nature of this question, one might think that risk management would be high on every project manager’s agenda. Unfortunately, risk management is often not given the attention it warrants. This does not necessarily mean that the project manager does not consider the issues related to risk, but rather that often project managers only perform a superficial examination of the issues related to risk and then add a “margin for risk.” This technique, known as “using a WAG[1]” does not work. The reason is simple: the likelihood a WAG will be significantly underestimated is as equal as the likelihood it will be a valid overestimation[2].