Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
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Article Citation - WoS: 7Citation - Scopus: 8Firm Survival in Times of Crisis: Do Innovation and Financing Constraints Matter? Insights From the Covid-19 Pandemic(Routledge Journals, Taylor & Francis Ltd, 2023) Ozsuca, Ekin AyseUtilizing survey data collected over three rounds, this paper investigates the impact of pre-COVID innovation performance, innovation type, sources of knowledge, and the moderating role of financial constraints on survival following the outbreak of COVID-19. The findings pinpoint a strong and positive link between firm survival and innovation, especially process innovation, confirming the ability of innovators to adapt to new conditions as a determinant of survival. Moreover, relying on internal knowledge is found to increase the chance of survival and adaptability to times of crisis. The results further indicate that access to finance strengthens the positive impact of innovation on firm survival/adaptation.Article Citation - WoS: 1Citation - Scopus: 1Decoding the Impact of Covid-19 on Everyday Life Practices of Syrian Refugees: an Investigation at the Neighbourhood Level(Routledge Journals, Taylor & Francis Ltd, 2024) Kahraman, Z. Ezgi Haliloglu; Haliloğlu Kahraman, Z. EzgiThis study investigates the impact of the COVID-19 pandemic at the neighbourhood level on the everyday life practices of Syrian refugees and the potential reasons for virus transmission in their settlements. It is based on fieldwork in an ethnic enclave of Ankara, which revealed comparative insights into everyday life practices of Syrians before and after the outbreak, their perceptions, reactions and strategies towards the pandemic and its countermeasures. Their religious beliefs, socio-cultural structure, social networks and economic struggles have significant effects on their perceptions and practices in pandemic times; together with their living and working conditions, this may create risks of virus transmission. The degradation in their employment status, interruptions in donations and increase in expenditures resulted in decreases in living standards. The outbreak, negatively influencing their use of public services and some parts of social life created new inequalities and stressors but empowered their social support system and virtual networking capacities.Article Citation - WoS: 2The Effect of Population and Tourism Factors on Covid-19 Cases in Italy: Visual Data Analysis and Forecasting Approach(Wiley, 2022) Ozyer, Baris; Ozyer, Gulsah Tumuklu; Tokdemir, Gul; Uguz, Sezer; Yaganoglu, MeteAt the beginning of 2020, the new coronavirus disease (Covid-19), a deadly viral illness, is declared as a public health emergency situation by WHO. Consequently, it is accepted as pandemic that affected millions of people worldwide. Italy is one of the most affected countries by Covid-19 disease among the world. In this article, our main goal is to investigate the effect of intensity of Covid-19 cases based on the population size and tourism factors in certain regions of Italy by visual data analysis. The regions of Lombardia, Veneto, Campania, Emilia-Romagna, Piemonte are the top five regions covering 58.50% of the total Covid-19 cases diagnosed in Italy. It has been shown by visual data analysis that population and tourism factors play an important role in the spread of Covid-19 cases in these five regions. In addition, a prediction model was created using Bi-LSTM and ARIMA algorithms to forecast the number of Covid-19 cases occurring in these five regions in order to take early action. We can conclude that these northern regions have been affected mostly by Covid-19 and the distribution of the resident population and tourist flow factors affected the number of Covid-19 cases in Italy.Article Citation - WoS: 8Citation - Scopus: 4Dynamics of Covid-19 Via Singular and Non-Singular Fractional Operators Under Real Statistical Observations(Wiley, 2024) Alqarni, M. S.; Alshomrani, Ali Saleh; Ullah, Malik Zaka; Baleanu, Dumitru; Alghamdi, MetibCoronavirus has paralyzed various socio-economic sectors worldwide. Such unprecedented outbreak was proved to be lethal for about 1,069,513 individuals based upon information released by Worldometers on October 09, 2020. In order to fathom transmission dynamics of the virus, different kinds of mathematical models have recently been proposed in literature. In the continuation, we have formulated a deterministic COVID-19 model under fractional operators using six nonlinear ordinary differential equations. Using fixed-point theory and Arzela Ascoli principle, the proposed model is shown to have existence of unique solution while stability analysis for differential equations involved in the model is carried out via Ulam-Hyers and generalized Ulam-Hyers conditions in a Banach space. Real COVID-19 cases considered from July 01 to August 14, 2020, in Pakistan were used to validate the model, thereby producing best fitted values for the parameters via nonlinear least-squares approach while minimizing sum of squared residuals. Elasticity indices for each parameter are computed. Two numerical schemes under singular and non-singular operators are formulated for the proposed model to obtain various simulations of particularly asymptomatically infectious individuals and of control reproduction number Rc. It has been shown that the fractional operators with order alpha=9.8254e-01 generated Rc=2.5087 which is smaller than the one obtained under the classical case ( alpha=1). Interesting behavior of the virus is explained under fractional case for the epidemiologically relevant parameters. All results are illustrated from biological viewpoint.