https://hdl.handle.net/20.500.12809/68 2026-07-03T08:03:59Z 2026-07-03T08:03:59Z Akbulut, Onur Ekin, Yakın Çelik, Tunahan https://hdl.handle.net/20.500.12809/11225 2026-06-25T07:23:44Z 2026-01-01T00:00:00Z

Perceptions of Home Concept Among British Homeowners in Primary and Secondary Homes: The Case of Ortaca Akbulut, Onur; Ekin, Yakın; Çelik, Tunahan This study addresses second-home ownership not merely as a form of tourism accommodation or real estate investment, but as a home-building process intersecting with local life, belonging, daily practices, and sustainable destination governance. While the economic, environmental, and community impacts of second-homes have been extensively discussed in the literature, how individuals perceive their primary and secondary homes differently in terms of the bodily, material, vibrant, imaginary, and emotional dimensions of home has been examined in a limited number of studies. This research analyzes paired data obtained through a two-stage online questionnaire from 223 British participants who own a secondary home in the Mugla-Ortaca region and a primary home in the United Kingdom. The 18-item Home Scale was used as the measurement tool. Confirmatory factor analysis, reliability-validity analyses, measurement invariance, and paired-samples t-tests were applied. The findings show that the bodily home difference was not statistically significant at the conventional 0.05 threshold, whereas primary-home scores were significantly higher in the material, vibrant, imaginary, and emotional home dimensions. The small to small-medium effect sizes suggest that the results should be interpreted cautiously as an asymmetrical home-building process rather than as evidence of a hierarchical superiority of the primary home. The study proposes a planning approach that does not view second home owners as merely transient consumers in sustainable coastal-rural destinations, but rather considers social sustainability, service planning, seasonality management, and local community engagement channels together.

2026-01-01T00:00:00Z Akın, Hasan Eren İlkuçar, Muammer https://hdl.handle.net/20.500.12809/11076 2026-04-16T06:41:42Z 2026-01-01T00:00:00Z

Sahte Popülerliğin Sosyal Medyada Algı ve Etkileşim Üzerindeki Etkisi: Instagram Üzerinde Bir Vaka Çalışması Akın, Hasan Eren; İlkuçar, Muammer Bu çalışma, dijital medya ortamında sahte popülerlik içeriklerinin sosyal medya kullanıcılarının algı, güven ve etkileşim davranışları üzerindeki etkisini deneysel bir yaklaşımla incelenmiştir. Instagram platformunda özel olarak oluşturulan ve bot takipçilerle desteklenen bir hesap üzerinden yürütülen deneysel süreçte hem gerçek hem de sahte içeriklerin kullanıcılar üzerindeki etkileri analiz edilmiştir. Çalışma kapsamında bir ay boyunca paylaşılan 44 Reels videosu, toplamda üç milyonu aşkın görüntülenme ve yüz binlerce etkileşim almış, kullanıcı beğeni, paylaşım, yorum, kayıt etme gibi veriler nicel ve nitel olarak değerlendirilmiştir. Yapılan analize göre; kullanıcıların büyük oranda sahte popüler içeriklere duyduğu güveni, eleştirel sorgulamanın zayıflığını, içeriklerin kaynağı ve doğruluğunun araştırılmadığı, kullanıcıların kolaylıkla manipüle edilebileceği ve sosyal medya algoritmalarının manipülasyona açık olduğu gibi sonuçlara varılabilir.

2026-01-01T00:00:00Z Şahin, Faruk Taras, Vas Çetin, Fatih Tavoletti, Ernesto Askun, Duysal Florea, Liviu https://hdl.handle.net/20.500.12809/11050 2023-10-27T08:47:30Z 2023-01-01T00:00:00Z

A configurational approach for analyzing cultural values and performance in Global Virtual Teams Şahin, Faruk; Taras, Vas; Çetin, Fatih; Tavoletti, Ernesto; Askun, Duysal; Florea, Liviu Although there have been decades of research on the effect of cultural values on team effectiveness outcomes, knowledge of the interdependencies of team cultural values for explaining team performance remains nascent. Using a configurational qualitative approach, this study explores how cultural values combine and collectively contribute to the effectiveness of Global Virtual Teams (GVTs). We perform a fuzzy-set qualitative comparative analysis on a data set of 1847 individuals nested within 396 GVTs who participated in an international business consulting project. The results demonstrate that cultural values work together to achieve high levels of team performance rather than function independently. The results also show that different cultural value configurations could be equally effective at producing the same outcome, and that the presence of gender egalitarianism and the absence of power distance are the most important for producing the outcome. We discuss implications for practice and future research.

2023-01-01T00:00:00Z Hatipoğlu, Veysel Fuat https://hdl.handle.net/20.500.12809/10845 2023-08-04T08:24:58Z 2023-01-01T00:00:00Z

Forecasting of COVID-19 Fatality in the USA: Comparison of Artificial Neural Network-Based Models Hatipoğlu, Veysel Fuat The first death caused by the novel coronavirus in the USA was declared on February 29, 2020, in the Seattle area in Washington state. Forecasting the number of deaths has great importance in terms of public psychology and strategic decisions to be taken by the government. There are several data-driven models in the literature to predict the deaths in the USA caused by COVID-19. However, most of them are based on a few variables of the data for forecasting. From this point of view, this study provides an artificial neural network (ANN)-based approach by considering 12 different variables for forecasting the cumulative deaths caused by COVID-19 in the USA. The proposed ANN structure was trained with three algorithms, namely scaled conjugate gradient algorithm, Levenberg-Marquardt algorithm and Bayesian regularization algorithm. These three forecasting models were constructed on 13 parameters such as 12 inputs and one output. The sensitivity and performance of the proposed forecasting models were analyzed and compared by using indices mean absolute error, mean absolute percentage error, correlation coefficient (R-value), sum square error, variance account for, mean square error and root-mean-square error. Results show that the forecasting model with Bayesian regularization performs better than other models for forecasting the cumulative deaths due to COVID-19 in the USA.

2023-01-01T00:00:00Z