Yönetim Bilimleri Fakültesi
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Article COMPARISON OF INTERNATIONAL AND DOMESTIC ACQUISITIONS: A LITERATURE REVIEW(Bandırma 17 Eylül Üniversitesi, 2016) Genç, Ömer Faruk; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Genç, Ömer Faruk; 01. Abdullah Gül UniversityInternational Aquisitions (IAs) have been used extensively by companies. Although IAsdiffer from_x000D_ domestic aquisitions, there is not a literature review about how they differ. A literature review of_x000D_ acquisitions in terms of comparison between international and domestic deals is provided in this study._x000D_ Based on the literature, it was shown that international acquisitions differ significantly from domestic_x000D_ acquisitions in terms of motivations, outcomes, success factors, integration problems, information_x000D_ asymmetry, and diversification. The study also identifies new aveanues for acquisition researh. The_x000D_ acquisition paradox and motivation-outcome inconsistency are identified as major issues in acquisition_x000D_ research, and ways to deal with these issues including using benchmarking methodology, risk-adjusted_x000D_ returns, and examining motivations in different ways are provided. In addition, acquisitions by emerging_x000D_ market multinationals and private companies, acquisitions of state-owned enterprises, pre-announcement_x000D_ and negotiation stages are identified as understudied areas with great potential in acquisition research.Article Dynamics in the Diffusion and Institutionalization of Site-Based Management Reform in the United States of America(Eskişehir Osmangazi Üniversitesi, 2013) Gök, Kubilay; Sayılar, Yücel; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Gök, Kubilay; 01. Abdullah Gül UniversityThis study is examined research question: “How does the_x000D_ diffusion of SBM over time and space resemble the broader_x000D_ social dynamics associated with diffusion of educational policy_x000D_ innovations in particular, and other public policy innovations in_x000D_ general?” Data comes from various secondary data sources._x000D_ Study generates several conclusions. First, institutional theory_x000D_ helps explain the diffusion of SBM. The analysis provides_x000D_ support for institutional theory that pressures to adopt a_x000D_ “fashionable” practice builds gradually over time. It’s also_x000D_ revealed that when isomorphic pressures are absent in a region,_x000D_ diffusion may be explained by nationwide institutional dynamics. Study points to possible learning effects in the regional_x000D_ diffusion process when mimetic pressures are absent. Finally,_x000D_ surprisingly more liberal states can be less likely to move quickly_x000D_ to adopt some policies.Article G7 Countries Unemployment Rate Predictions Using Seasonal Arima Garch Coupled Models(2021) MUĞALOĞLU Erhan; KILIÇ Edanur; AGÜ, Yönetim Bilimleri Fakültesi, Ekonomi Bölümü; MUĞALOĞLU, Erhan; KILIÇ, Edanur; 01. Abdullah Gül UniversityDespite the unemployment data have been recently released as seasonally adjusted, seasonality may still exist in moving average (MA) or auto-regressive (AR) terms. This can be detected by searching for a regular pattern in auto-correlation function (ACF) and partial ACF (PACF) diagrams. Therefore, models that aim to forecast unemployment rates should consider their seasonal properties so as to obtain better mean equation estimations. Univariate models mostly employ integrated ARMA (ARIMA) or generalized auto regressive conditional heteroscedastic (GARCH) models or any combination of them. Once the mean equations are structured better, GARCH estimations of variance equation is expected to perform better accuracy in forecasts. This study first examines the ACF's and PACF's of seasonally adjusted unemployment rate data in G-7 countries for 1995-2019 period. Then it compares the 4-quarter and 8-quarter ahead forecast performance of the seasonal ARIMA (SARIMA) coupled volatility models of GARCH in mean, absolute value GARCH, GJR-GARCH, exponential GARCH and asymmetric GARCH models. The performance of these models is also compared to SARIMA and MA filtered volatility models. The results show that seasonality should be re-examined even in seasonally adjusted unemployment data, since SARIMA models outperform ARIMA models in terms of out of sample forecast errors. Besides SARIMA-GARCH models provide better out of sample prediction accuracy.Article Grasp based metaheuristic approach for dynamic flexible job shop scheduling problem.(2020) Alper Hamza Dayı; Fatma Selen MADENOĞLU; Adil Baykasoğlu; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; 01. Abdullah Gül University; 03.01. İşletme; 03. Yönetim Bilimleri FakültesiGraspArticle TURKISH MERGERS AND ACQUISITIONS (M&As): A HISTORICAL VIEW OF CHARACTERISTICS, TRENDS, AND DIRECTIONS(Zonguldak Bülent Ecevit Üniversitesi, 2018) Genç, Ömer Faruk; Kalkan, Burak; 0000-0001-7747-1095; AGÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü; Kalkan, Burak; 01. Abdullah Gül UniversityThis study analyses acquisitions that Turkish companies are involved between 1990-_x000D_ 2017 by analyzing trends in number and volume of activity, geographic dispersion of foreign_x000D_ acquirers and targets, deal characteristics. We also group acquisitions into three according to_x000D_ the home country of acquirers and targets and compare. As being the first study to analyze all_x000D_ three groups at the same time and having the most comprehensive sample in terms of period, this_x000D_ study contributes to the literature by providing a detailed and comprehensive understanding_x000D_ of Turkish M&As. We finally discuss implications for firms and policymakers while providing_x000D_ insights for future research
