Yazar "Bolat, Bersam" seçeneğine göre listele
Listeleniyor 1 - 2 / 2
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe An Assessment for IT Project Maturity Levels(Igi Global, 2017) Bolat, Bersam; Kusdemir, Asli; Uslu, Ipek Ceren; Temur, Gul TekinThe statistical assessments point out that approximately half of information technology (IT) projects cannot provide basic necessities and a quarter of them fail. Therefore, the necessity of effective project management tools to enhance the project management practices increases day by day. Project management maturity model as one of these tools is attached more importance in IT firms. This study aims to present a framework for IT project maturity level measurement and indicate how project management maturity level differs in terms of firm characteristics. Within the scope of the research, Kerzner's Hexagon of Excellence is extended with additional questions related with firm characteristics, and a case study including 16 firms from Istanbul Technical University (ITU) ARI Techno Park is conducted. In the light of responses, (1) problems which are realized in the project management processes revealed out, (2) relation between firm characteristics and project management skills are discussed and (3) results are interpreted in order to provide managerial insights.Öğe Estimating The Efficiency Of Airports In Turkey: Utilization Of Data Envelopment Analysis And Artifical Neural Network(Ege Univ, Fac Economics & Admin Sciences, 2016) Bolat, Bersam; Temur, Gul T.; Gurler, HaktanEspecially during the last years, both government and private sectors have made investments such as new airports constructions, an expansion of air fleet, and entrance of new firms to aviation sector. These developments in air transport have brought the question whether airports work efficiently. In this study, firstly an efficiency analysis of airports which are located in Turkey is conducted by using Data Envelopment Analysis (DEA). The results of DEA show that 19 airports in 41 airports work efficiently in Turkey. After DEA analysis, we build an Artificial Neural Network model which helps to predict an efficiency of existing and alternative airports by utilizing same data.