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Istanbul Bilgi University is a private university in Istanbul, Turkey. According to the university webpage, The Bilgi Education and Culture Foundation was founded on 31 October 1994 in Istanbul in accordance with the following provision of the Turkish Civil Law: “To found and operate educational institutions and foundation based higher education institutions of every degree and quality and provide teaching in foreign languages, social science, science, and technology, to conduct scientific and cultural research, to found and operate museums that aim to protect the country’s cultural heritage, to conduct seminars, briefings, conferences, and similar gatherings to develop the country’s cultural position, and to provide aid or financial aid to people and corporations that conduct cultural activities.” In 1994, a precursor to the University was the Istanbul School of International Studies, operated in partnership with Portsmouth University and the London School of Economics offering courses in Business Administration, International Relations, Economics, and LSE Economics programs. Istanbul Bilgi University opened in earnest in 1996. The university is recognized as a pioneer in providing a liberal arts-oriented curriculum in Turkey. Istanbul Bilgi University joined Laureate International Universities in 2006 and is one of the largest private universities in the country.Istanbul Bilgi University ranks third among private foundation universities in Turkey for its undergraduate placement according to the 2011 National Student Selection and Placement Center and is ranked among the top 10 institutions of higher education in Turkey, according to Webometrics. Its law school is ranked one of the nation's top three. Bilgi faculty and alumni have been honored with World Bank and OECD Global Development Learning Network recognition, American Academy of Achievement Award, Cannes Lions Young Entrepreneurs Award, and Restfest Film and Digital Arts Festival Award. BILGI's Dolapdere campus received the 2002 "Structure and Life Architecture Award" and the 2005 "European Award for Steel Structure."On February 10, 2009, Istanbul Bilgi University announced that it would join the Laureate International Universities network. In Turkish, Bilgi means knowledge. Wikipedia.


Schmidbauer H.,Istanbul Bilgi University | Rosch A.,Munich University of Applied Sciences
Energy Economics | Year: 2012

Several times a year, OPEC hosts conferences among its members to agree on further oil production policies. Prior to OPEC conferences, there is usually rampant speculation about which decision concerning world oil production levels (no change, increase, or cut) will be announced. The purpose of our investigation is to assess the impact of OPEC announcements on expectation and volatility of daily oil price changes (returns).We modify dummy variables indicating the day of an OPEC announcement to reflect a certain pattern of impact on return expectation and volatility. A combination of regression and GARCH models can then differentiate between pre- and post-announcement effects, and distinguish between the three kinds of OPEC decisions. We find evidence for a post-announcement effect on expectation, which is negative in the case of a cut decision and positive in case of an increase or maintain decision, while there is a positive pre-announcement effect on volatility, which is strongest in the case of a cut decision. © 2012 Elsevier B.V.


Erdil D.C.,Istanbul Bilgi University
Peer-to-Peer Networking and Applications | Year: 2012

Resource scheduling in large-scale distributed systems, such as grids and clouds, is difficult due to the size, dynamism, and volatility of resources. These resources are eclectic and autonomous, and may exhibit different usage policies, levels of participation, capabilities, local load, and reliability. Moreover, applications are likely to exhibit various patterns and levels, and distributed resources may organize into various different overlay topologies for information and query dissemination. Researchers have proposed a wide variety of approaches and policies for mapping offered load onto resources and for solving the various component parts of the scheduling problem. However, production clouds and grids may be underutilized, and may not exhibit the load to effectively characterize all of the scheduling system inputs. The composition of large-scale systems is also changing, potentially to include more individual and peer-to-peer resources. These factors will influence the effectiveness of proposed scheduling solutions. Therefore, a simulation environment is necessary to study different approaches under different scenarios, especially those that are expected, but that are not currently characteristic of existing systems. This article describes a general-purpose peer-to-peer simulation environment that allows a wide variety of parameters, protocols, strategies and policies to be varied and studied. To provide a proof of concept, utilization of the simulation environment is presented in a large-scale distributed system problem that includes a core model and related mechanisms. In particular, this article presents a definition and possible peer-to-peer solutions for the large-scale scheduling problem. Moreover, this article describes a general simulation model, some policies that can be varied, an implementation, and some sample results. © 2011 Springer Science + Business Media, LLC.


Erdil D.C.,Istanbul Bilgi University
Future Generation Computer Systems | Year: 2013

Recent advances in information technology make remote collaboration and resource sharing easier for next generation distributed systems, such as grids and clouds. One common model of study is the convergence of these systems, along with interclouds to a unified global computing resource. Despite similarities between grids and clouds, there are a number of fundamental differences that make this convergence process harder. For example, clouds have inherent administrative boundaries, something which the grid computing paradigm avoided from the early stages of research. Such administrative boundaries primarily affect capabilities of clouds to be interoperable. Moreover, they also negatively affect the possibility of a seamless intercloud federation on the path to convergence. Resource sharing in general and related communication methodologies, such as information dissemination and matchmaking are also integral elements in this convergence process. To help improve the success of distributed cloud resource schedulers, we propose proxies that disseminate information as agent s of dissemination sources. Such proxies can then make information about resource states available at 'distant' clouds, where there may be no direct, or even no indirect control. Moreover, they can make this resource state available more efficiently than where no proxies are used. In particular, with proxies, dissemination overhead is reduced by up to 65% under different scenarios, where existing solutions may not even produce efficient protocols. In addition, proxies help reduce dissemination overhead by 19% on average. Our results also show that randomly selecting proxy nodes perform comparably to other strategies that may select proxies based on particular criteria. © 2012 Elsevier B.V. All rights reserved.


Ozel B.,Istanbul Bilgi University
Scientometrics | Year: 2012

This article, elaborating on mutuality of knowledge and social structure theory borrowed from sociology of knowledge literature, where knowledge is perceived as an essentially social and societal category, develops a coherent research framework which relates cognitive structure and the collaboration patterns into an integrated socio-knowledge analysis of a given scientific community. The framework extends co-word analysis combining it with social network analysis. The framework is enhanced by introducing a novel model. The new model maps actors from co-authorship networks into a strategic diagram of scientists. The mapping is based on cohesiveness and pervasiveness of issues each author has published in the field. The exemplary longitudinal case from Turkey covers scientific publication activities in Turkish management academia spanning the years from 1922 until 2008. It is seen that, while within local community diffusion of management knowledge is lead by academicians with certain socio-cognitive properties, academicians publishing at international arena do not show any significantly differing socio-cognitive properties, instead, they are merely embedded in strongly connected groups. Leading academicians within local community, however, exhibit a common socio-cognitive structure relative to the rest of the community. They have more social ties and more diversified disseminated knowledge compared to the rest. Knowledge they disseminate is distinct compared to their peers in the network, they hold certain part of their knowledge exclusively, thus knowledge-wise they don't resemble the rest, but they keep a level of common knowledge with the rest of the community. © 2012 Akadémiai Kiadó, Budapest, Hungary.


Ozel B.,Istanbul Bilgi University
Scientometrics | Year: 2012

This article proposes a conceptual framework to study diffusion of knowledge via collaborative social interactions. The framework primes deliberation on (i) nature of knowledg, (ii) chain of knowledge process, and (iii) modes of knowledge transfer while examining mechanisms of knowledge diffusion and collaboration structure. Within such a differentiation scheme while information is considered as a form of filtered data within a context of relevancies, knowledge is considered as a systematically processed information that is bound to individual or collective actions and praxis. The framework is applied employing an empirical research method based on meta-network analysis. The examplary case traces how management sciences related knowledge is diffused and what collaboration structures are exhibited by Turkish management academia from 1920s until 2008. Results from knowledge diffusion models which have been devised and tested in this study hint that management knowledge within local publications follows patterns of information diffusion rather than patterns of knowledge transfer found elsewhere. On the other hand, it is seen that cognitive demand of publishing in citation indexed global journals have given way to cohesive collaborating teams as mean of collaborative knowledge production and transfer. © 2012 Akadémiai Kiadó, Budapest, Hungary.

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