Browsing by Author "Sözen, Mert Erkan"

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Citation - WoS: 12
Citation - Scopus: 16
Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland- Turkey and South Korea
(OXFORD UNIV PRESS, 2022) Mert Erkan Sozen; Gorkem Sariyer; Mustafa Gokalp Ataman; Ataman, Mustafa Gökalp; Sarlyer, Görkem; Sariyer, Gorkem; Sözen, Mert Erkan
We used big data analytics for exploring the relationship between government response policies human mobility trends and numbers of coronavirus disease 2019 (COVID-19) cases comparatively in Poland Turkey and South Korea. We collected daily mobility data of retail and recreation grocery and pharmacy parks transit stations workplaces and residential areas. For quantifying the actions taken by governments and making a fairness comparison between these countries we used stringency index values measured with the `Oxford COVID-19 government response tracker'. For the Turkey case we also developed a model by implementing the multilayer perceptron algorithm for predicting numbers of cases based on the mobility data. We finally created scenarios based on the descriptive statistics of the mobility data of these countries and generated predictions on the numbers of cases by using the developed model. Based on the descriptive analysis we pointed out that while Poland and Turkey had relatively closer values and distributions on the study variables South Korea had more stable data compared to Poland and Turkey. We mainly showed that while the stringency index of the current day was associated with mobility data of the same day the current day's mobility was associated with the numbers of cases 1 month later. By obtaining 89.3% prediction accuracy we also concluded that the use of mobility data and implementation of big data analytics technique may enable decision-making in managing uncertain environments created by outbreak situations. We finally proposed implications for policymakers for deciding on the targeted levels of mobility to maintain numbers of cases in a manageable range based on the results of created scenarios.
Citation - WoS: 10
Citation - Scopus: 16
Fiscal responses to COVID-19 outbreak for healthy economies: Modelling with big data analytics
(ELSEVIER, 2023) Gorkem Sariyer; Serpil Kahraman; Mert Erkan Sozen; Mustafa Gokalp Ataman; Ataman, Mustafa Gokalp; Sariyer, Gorkem; Sözen, Mert Erkan; Kahraman, Serpil
Fiscal responses to the COVID-19 crisis have varied a lot across countries. Using a panel of 127 countries over two separate subperiods between 2020 and 2021 this paper seeks to determine the extent that fiscal responses contributed to the spread and containment of the disease. The study first documents that rich countries which had the largest total and health-related fiscal responses achieved the lowest fatality rates defined as the ratio of COVID-related deaths to cases despite having the largest recorded numbers of cases and fatalities. The next most successful were less developed economies whose smaller total fiscal responses included a larger health-related component than emerging market economies. The study used a promising big data analytics technology the random forest algorithm to determine which factors explained a country's fatality rate. The findings indicate that a country's fatality ratio over the next period can be almost entirely predicted by its economic development level fiscal expenditure (both total and health-related) and initial fatality ratio. Finally the study conducted a counterfactual exercise to show that had less developed economies implemented the same fiscal responses as the rich (as a share of GDP) then their fatality ratios would have declined by 20.47% over the first period and 2.59% over the second one.
Sağlık sektörü birinci basamak özelinde kardiyovasküler risk tahminlemesi için yapay öğrenme teknikleri kullanılarak klinik karar destek sistemi tasarlanması
(2021) Sözen, Mert Erkan; Ataman, Görkem
When it comes to public health, cardiovascular diseases have increased their importance in recent years due to their high prevalence. The World Health Organization and the Ministry of Health attach importance to the assessment of cardiovascular risk specific to the individuals, because cardiovascular diseases, which contain modifiable risk factors, provide the opportunity to reduce the risk thanks to early diagnosis. The Ministry of Health advises family physicians that all patients over the age of forty who visit family physicians center should undergo a cardiovascular risk assessment once, regardless of the reason of their application. For family physicians with a heavy workload, making this process more systematic with the help of the clinical decision support systems is very important both for the sake of public health and individual-specific early diagnosis. In this study, a clinical decision support system was designed using machine learning techniques for cardiovascular risk assessment on the data obtained in primary healthcare and turned into a product for the use of doctors and nurses.
Tüketicilerin teknoloji ürünlerindeki marka tercihini belirleyen faktörler
(2013) Sözen, Mert Erkan; İçöz, Orhan
Günümüzde her alanda olduğu gibi teknoloji alanında da büyük ve hızlı değişimler yaşanmaktadır. Yaşanan bu değişim ve yenilişim (inovasyon), teknoloji ürünlerinin çeşitliğini arttırıp kullanım alanlarını çeşitlendirmektedir. Teknoloji ürünlerindeki bu değişimler tüketicilerin satın alma davranışlarını etkilemekte, istek ve ihtiyaçlarının farklılaştırılmasına neden olmaktadır. İhtiyaçlara ve isteklere göre üreticiler markalarını şekillendirirken tüketici davranışlarını analiz ederek yoğun rekabet ortamında farklı çözümler bulmaya yönelmiştir. Tüketicinin satın alma davranışı sosyal, kültürel, psikolojik ve kişisel faktörlerden etkilendiği için mal ve hizmetleri nasıl, nereden ve niçin satın alma, kullanma gibi eylemleri kişi bazlı homojen özellik göstermemektedir. Bundan dolayı tüketicilerin ürün tercih etme safhasında marka, ürünün önemli bir parçası olarak görülür. Bu nedenle marka, tüketici satın alma davranışları etkilemek konusunda temel etken olarak karşımıza çıkmaktadır. Bu çalışmanın amacı, marka ve tüketici davranışları ile ilgili temel kavramları açıklayarak, tüketicilerin marka tercihlerinin demografik özelliklere ve marka algısına bağlı olarak farklılık gösterip göstermediğini belirlemektir. Bu çalışmanın birinci bölümünde marka kavramı, ikinci bölümde tüketici kavramı ve tüketici satın alma davranışları, üçüncü bölümde ise tüketici davranışını etkileyen faktörler incelenmiştir. Dördüncü ve son bölümde ise markanın tüketicilerin satın alma sürecine etkilerine yönelik bir alan araştırması yapılmış, araştırma bulguları incelenmiş ve sonuçları değerlendirilmiştir. Anahtar Kelimeler: Marka Kavramı, Marka Tercihi, Tüketici Kavramı, Tüketici Satın Alma Davranışları, Tüketici Davranışını Etkileyen Faktörler, Teknoloji Ürünleri