32 research outputs found

    KURUM ─░├ç─░ ─░LET─░┼×─░M─░N ├çALI┼×ANLARIN ─░┼× TATM─░N─░NE ETK─░S─░: ├çANAKKALE ─░L─░NDE B─░R ARA┼×TIRMA

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    The aim of this research is to examine the effect of internal communication inside work place on employees satisfaction. For this research, by performing surveys with 386 stuffs of a company in Canakkale with the help of convenience sampling method in the period between July and August of 2018 datas were obtained. In survey work satisfaction scale proposed by Weiss (1967) and communication scale proposed by Miles vd (1996) were used. T-test, ANOVA, confidence test, factor analysis, correlation and regression analysis were performed on the collected datas. As a result of this research, it is concluded that communication inside work place effected positively the employees work satisfaction. There was no significant difference in terms of job satisfaction and communication according to gender, marital status anda age. In addition, according to the level of education of employees, monthly income and working years, it was found that both job satisfaction and internal communication perception differ.Bu ara┼čt─▒rman─▒n amac─▒ kurum i├ži ileti┼čimin ├žal─▒┼čanlar─▒n i┼č tatmine etkisini incelemektir. Bu ara┼čt─▒rma i├žin ├çanakkaleÔÇÖde faaliyet g├Âsteren b├╝y├╝k ├Âl├žekli bir i┼čletmenin ├žal─▒┼čanlar─▒ndan 386 personel ile anket y├Ântemi uygulanarak 2018 y─▒l─▒ Temmuz-A─čustos aylar─▒n─▒ kapsayan d├Ânemde kolayda ├Ârneklem y├Ântemi ile veri toplanm─▒┼čt─▒r. Ankette Weiss vd., (1967) taraf─▒ndan geli┼čtirilen i┼č tatmini ├Âl├že─či ve Miles vd., (1996) taraf─▒ndan geli┼čtirilen ileti┼čim ├Âl├že─či kullan─▒lm─▒┼čt─▒r. Toplanan verilere T testi, ANOVA, g├╝venilirlik analizi, fakt├Âr analizi, korelasyon ve regresyon, analizleri yap─▒lm─▒┼čt─▒r. Bu ├žal─▒┼čmada kurum i├ži ileti┼čimin, ├žal─▒┼čanlar─▒n i┼č tatminlerini pozitif y├Ânde etkiledi─či bulgusuna ula┼č─▒lm─▒┼čt─▒r. ─░leti┼čimin i┼č tatmini ├╝zerindeki ├Ânemi dikkate al─▒narak, y├Âneticilerin kurum i├ži ileti┼čim kanallar─▒n─▒ geli┼čtirmeleri gerekmektedir.  ├çal─▒┼čanlar─▒n demografik ├Âzelliklerinden cinsiyet, medeni durum ve ya┼člar─▒na g├Âre i┼č tatmini ve kurum i├ži ileti┼čim y├Ân├╝nden anlaml─▒ bir fark olmad─▒─č─▒ bulgusuna ula┼č─▒lm─▒┼čt─▒r. Bunun yan─▒nda ├žal─▒┼čanlar─▒n e─čitim seviyesi, ayl─▒k gelir ve ├žal─▒┼čma y─▒llar─▒na g├Âre ise, hem i┼č tatmini hem de kurum i├ži ileti┼čim alg─▒s─▒n─▒n farkl─▒la┼čmakta oldu─ču bulgusuna ula┼č─▒lm─▒┼čt─▒r

    Vertical Integration Decision Making in Information Technology Management

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    Vertical integration, also known as make-or-buy, defines whether activities are conducted by company or provided by external parties. There are different models to support decision making for vertical integration in the literature. However, they ignore the uncertainty aspect of vertical integration. As a strategic decision, vertical integration is multidimensional and less frequent. This study contributes a new data-driven model that includes all these characteristics of vertical integration decisions. In this study, a methodology is suggested that benefits from the models in the literature and assesses the results with data obtained from real IT cases. Different methodologies were followed to reach a model that accurately predicts make-or-buy decisions in IT projects at a retail company. Firstly, three different knowledge-based generic models derived from the literature were applied to predict decisions for twenty-one different make-or-buy cases in IT. The highest accuracy rate reached among these knowledge-based models was 76%. Secondly, the same cases were also analyzed with Naïve Bayes using factors originally introduced by these generic models. The Naïve Bayes algorithm can represent the uncertainty inherent in the decision model. The highest accuracy rate obtained was 67%. Thirdly, a new data-driven model based on Naïve Bayes using IT-related factors was proposed for the decision problem of vertical integration. The data-driven model correctly classified 86% of the decisions

    A fuzzy approach to qualitative cross impact analysis

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    This paper proposes a fuzzy approach to qualitative cross impact analysis. Cross impact analysis is seeking to find both direct and indirect relationships of variables relying on experts' decisions to structure and formalize judgmental forecasting. The knowledge is often uncertain or fuzzy when dealing with future events. In addition, experts prefer to use linguistic terms or fuzzy values in their predictions. Therefore, a qualitative cross impact analysis is represented in terms of fuzzy relationships. Four different approaches including crisp binary, crisp rated, fuzzy linguistic and fuzzy rated are applied to a specific case--the security appliances sector. The results are then compared depending on the variables' characteristics. The fuzzy approaches reveal different results than the crisp ones. The fuzzy rated approach makes it possible to "infer in a wider perspective" from the results and pick out hidden variables. On the other hand, the results of the fuzzy linguistic approach help in deciding for variables where indecision is high in other approaches. Finally, in contrast to crisp approaches, the fuzzy approaches are more successful in representing uncertainty.Qualitative cross impact analysis Scenario Fuzzy number Linguistic value Key variable

    The Damage of Penile Doppler Ultrasonoghraphy in Diagnosis of Penile Mondor's Disease: A Report of Two Cases

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    AbstractPenile Mondor's disease is a thrombophlebitis of the superficial dorsal vein of the penis. It is a rare clinical diagnosis and generally resolves spontaneously. A simple physical examination is sufficient for diagnosis but color Doppler ultrasonography is often carried out as a further investigation. We describe two patients who developed priapism due to penile Doppler ultrasonography which was used for diagnosis of these patients. Now, in our opinion this examination was unnecessary

    Providing Key Diversity for Symmetric Encryption in Ad-Hoc Wireless Networks

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    The revolutionary network that totally changed how the humankind life, the Internet, is now evolving into the Internet of things; which is being achieved by fetching the network connectivity to legacy industrial or commercial devices, as well as everyday objects. This connectivity may be an Internet connection, where the Internet protocol and related technologies are in use. But, there are also many constrained devices, like sensors, actuators, radio frequency identification (RFID) tags and smart cards etc., which cannot handle the full-stack. These devices usually form ad-hoc networks, in which the internal data communication is made via lighter protocols, while the Internet connection is provided by anchor/gateway nodes. This structure brings ease of use, saves power and allows development of new technologies. However, privacy and security are under severe threats, much more than ever. In this paper, we propose a key diversification method, inspired from RFID smart cards, to be used in symmetric encryption within these ad-hoc networks. Thus, lightweight devices will be able to communicate securely, without exhausting their processors and wasting energy
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