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Yayın Satisfaction of high education students with blackboard learning system during COVID-19(Işık Üniversitesi, 2022-04) Ayyadumi, Yasser Abdullah Mohsen; Falcıoğlu, Pınar; Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Yöneticiler İçin İşletme Yönetimi (İngilizce) Yüksek Lisans ProgramıWith the advent of the novel COVID-19 disease, the world has become facing an extraordinary situation that has changed the course of normal human life upside down and pushed them towards compulsory, recent technology-based alternative solutions, educational life is an integral part of that. The higher education institutions in Turkey rushed from the first moments to avoid the disruption of education process, and transformed into the full-fledged online learning system. Therefore, the current study addressed aims to investigate ‘How satisfied with the transformation to Blackboard Learning System BLS for high education students, Istanbul-Turkey, during COVID-19 disease period 2020 are’ through a comparison of undergraduate and postgraduate students’ perceptions via thirty items divided into six axes, which are included in a single model. An online questionnaire survey sent through BLS itself and WhatsApp was filled out by a total of 294 student respondents, wherein afterwards an inferential and descriptive study with quantitative approach has been employed for analyzing their perceptions. The findings are indicative that the Usefulness, Engagement, Communication and Ease of Use, Self-efficacy, and Challenges axes respectively have a statistically significant effect on students’ perceptions concerning satisfaction with the BLS. As the Usefulness and Engagement axes have the highest contribution to students’ satisfaction with the BLS, unlike, the Challenges axis has the least contribution. It can be reported that the transformation into BLS during COVID-19 disease period is satisfactory for higher education students. With superiority of postgraduate students’ perceptions, in terms of Self-efficacy, Communication and Ease of Use and Challenges axes, along with a clear supremacy of the postgraduate students’ perceptions over the Overall axes level. Moreover, all demographic dimensions except gender, place of the living, the kind of device preferred and the willingness in using BLS in the future, influence the undergraduate and postgraduate students’ perceptions. An ease of use and communication, increased self-efficacy, flexibility, availability, accessibility, transferability, affordability, interactivity, saving-time moderately and positive changes of students’ life are shown to be the most traits the BLS has. Unlike, BLS, while effective, gives rise to a sense of isolation, lack of concentration, the reluctance of attendance, plus fairly vulnerability of participation, which are demonstrated to be the most drawbacks in The BLS. Some recommendations might contribute to successful implementation and satisfying use of BLS have been suggested.Yayın Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images(Elsevier B.V., 2021-06) Sheykhivand, Sobhan; Mousavi, Zohreh; Mojtahedi, Sina; Yousefi Rezaii, Tohid; Farzamnia, Ali; Meshgini, Saeed; Saad, IsmailThe novel coronavirus (COVID-19) could be described as the greatest human challenge of the 21st century. The development and transmission of the disease have increased mortality in all countries. Therefore, a rapid diagnosis of COVID-19 is necessary to treat and control the disease. In this paper, a new method for the automatic identification of pneumonia (including COVID-19) is presented using a proposed deep neural network. In the proposed method, the chest X-ray images are used to separate 2–4 classes in 7 different and functional scenarios according to healthy, viral, bacterial, and COVID-19 classes. In the proposed architecture, Generative Adversarial Networks (GANs) are used together with a fusion of the deep transfer learning and LSTM networks, without involving feature extraction/selection for classification of pneumonia. We have achieved more than 90% accuracy for all scenarios except one and also achieved 99% accuracy for separating COVID-19 from healthy group. We also compared our deep proposed network with other deep transfer learning networks (including Inception-ResNet V2, Inception V4, VGG16 and MobileNet) that have been recently widely used in pneumonia detection studies. The results based on the proposed network were very promising in terms of accuracy, precision, sensitivity, and specificity compared to the other deep transfer learning approaches. Depending on the high performance of the proposed method, it can be used during the treatment of patients.Yayın The psychological impact of the COVID-19 pandemic on tourism: a qualitative study(IGI Global, 2021-06-25) Güvenç, Gülden; Til Öğüt, DamlaThe COVID-19 pandemic has led to an extensive deterioration of many industries including the global tourism industry. There has been a strong need for psychology-informed research on tourism that investigates the impact and implications of the pandemic. This chapter is based on a qualitative study that included 60 individuals, recruited through snowball sampling method, 10 females and 10 males from three age groups. Participants were sent an online survey, querying their feelings and thoughts regarding tourism during and after the pandemic, to investigate the psychosocial impact of the pandemic on the population's tourism-related representations, decisions, and emotions. The data was subjected to thematic analysis that would reflect the social representations of the participants and the effects of the pandemic on these representations. Findings were discussed from social and clinical psychology perspectives, particularly via Maslow's and Fiske's theories and the discursive psychology perspective that aim to unfold decision-making processes and motivation underlying human actions.Yayın The effect of SARS-CoV-2 virus on resting-state functional connectivity during adolescence: Investigating brain correlates of psychotic-like experiences and SARS-CoV-2 related inflammation response(Elsevier Ireland Ltd, 2023-12) Yılmaz Kafalı, Helin; Daşgın, Hacer; Şahin Çevik, Didenur; Sozan, Sara Sinem; Oğuz, Kader K.; Mutlu, Müge; Özkaya Parlakay, Aslınur; Toulopoulou, TimotheaWe first aimed to investigate resting-state functional connectivity (rs-FC) differences between adolescents exposed to SARS-CoV-2 and healthy controls. Secondly, the moderator effect of PLEs on group differences in rs-FC was examined. Thirdly, brain correlates of inflammation response during acute SARS-CoV-2 infection were investigated. Eighty-two participants aged between 14 and 24 years (SARS-CoV-2 (n = 35), controls (n = 47)) were examined using rs-fMRI. Seed-based rs-FC analysis was performed. The positive subscale of Community Assessment of Psychotic Experiences-42 (CAPE-Pos) was used to measure PLEs. The SARS-CoV-2 group had a lesser rs-FC within sensorimotor network (SMN), central executive network (CEN) and language network (LN), but an increased rs-FC within visual network (VN) compared to controls. No significant differences were detected between the groups regarding CAPE-Pos-score. However, including CAPE-Pos as a covariate, we found increased rs-FC within CEN and SN in SARS-CoV-2 compared to controls. Among the SARS-CoV-2 group, neutrophil/lymphocyte and thrombocyte*neutrophil/lymphocyte ratio was correlated with decreased/increased FC within DMN and SN, and increased FC within CEN. Our results showed rs-FC alterations within the SMN, CEN, LN, and VN among adolescents exposed to SARS-CoV-2. Moreover, changes in rs-FC associated with PLEs existed in these adolescents despite the absence of clinical changes. Furthermore, inflammation response was correlated with alterations in FC within the triple network system.Yayın Evolution of business models during the Covid-19 pandemic(PressAcademia, 2022-07-30) Teker, Suat; Örendil, EmrePurpose - The purpose of this study is to propose a comprehensive definition for business models, reviews and summarizes the findings of a previous work by Guckenbiehl and Corral de Zubielqui (2022) about how business models have evolved by providing insights from reshaped businesses during the COVID-19 pandemic. Methodology - In this study, an extensive literature review is followed to learn about definition of business models and how business model have been adapted or even innovated during the times of the COVID-19 pandemic. Findings - Construction of a well-planned business model is a requirement for an organization to reach success. In the times of disruptive events, business models go through adaptive or innovative changes which is a necessity for survival and further success. It is observed that organizations generate different responses to crises (e.g., the COVID-19 pandemic) in means of business model changes. The understanding of these differences is facilitated by the aforementioned work through grouping organizations in six different clusters. Conclusion - The structure of a business model prior to the COVID-19 pandemic was also one of the determinants of a business’s response to the pandemic. Businesses either made no changes in their business models, or made notable innovations, or little adaptations in response to the disruptive environment.Yayın Adaptation of the businesses not to fall behind in the new normal period(PressAcademia, 2020-07-30) Şerifsoy, Anıl; Teker, SuatPurpose - This paper aims to be an exploratory study that ascertains the impacts of COVID-19 on business life and ushers further research on the subject. Methodology - Internet-based research is conducted to collect the fundamental information on the impacts of COVID-19 on business life as secondary data. Findings- It is imminently possible that COVID-19 will be a milestone in business life due to changing many things; such as working conditions, working hours, working locations, brand strategy, innovation involvement and even changing the product itself. Conclusion- This article is intended to be one of the first steps of a guide for the business owners to take appropriate action and adapt to the new normal in the future not to fall behind in the harsh conditions of the demanding markets.Yayın Impact of novel coronavirus (COVID-19) on daily routines and air environment: evidence from Turkey(Springer, 2021-03) Ali, Hussain; Yılmaz, Gözde; Fareed, Zeeshan; Shahzad, Farrukh; Ahmad, MunirTurkish people are facing several problems because of the novel coronavirus (COVID-19), as the pandemic has brought about drastic changes to their daily routines. This study mainly investigates the impact of this pandemic on the daily routines of Turkish. It also unveils how COVID-19 affects the air environment. The adopted methods for data collection are based on open-ended questions and Facebook interviews as per recommended by QSR-International (2012). The sample of this study comprises of Turkish students as well as professional workers. The findings of the research show that there are eighteen different results of COVID-19 that have been identified according to the Turkish people’s daily routines. Results reveal that increasing unemployment, decrease in air contamination, high stress and depression, a slowdown in the economic growth, and the tourism industry are profoundly affected due to the COVID-19 in Turkey. Furthermore, on the one hand, the consequences of the pandemic are segregated into social problems and psychological issues in daily routines. On the other hand, they have shown a positive impact on the air environment. This study concludes that, amid the COVID-19 pandemic, the lives of the people in Turkey are subject to deterioration, while the air environment of Turkey is gradually improving.Yayın ComStreamClust: a communicative multi-agent approach to text clustering in streaming data(Springer Science and Business Media Deutschland GmbH, 2023-12) Najafi, Ali; Gholipour-Shilabin, Araz; Dehkharghani, Rahim; Mohammadpur-Fard, Ali; Asgari-Chenaghlu, MeysamTopic detection is the task of determining and tracking hot topics in social media. Twitter is arguably the most popular platform for people to share their ideas with others about different issues. One such prevalent issue is the COVID-19 pandemic. Detecting and tracking topics on these kinds of issues would help governments and healthcare companies deal with this phenomenon. In this paper, we propose a novel, multi-agent, communicative clustering approach, so-called ComStreamClust for clustering sub-topics inside a broader topic, e.g., the COVID-19 and the FA CUP. The proposed approach is parallelizable, and can simultaneously handle several data-point. The LaBSE sentence embedding is used to measure the semantic similarity between two tweets. ComStreamClust has been evaluated by several metrics such as keyword precision, keyword recall, and topic recall. Based on topic recall on different number of keywords, ComStreamClust obtains superior results when compared to the existing methods.Yayın Satisfaction of higher education students with blackboard learning system during Covid-19(PressAcademia, 2023-06-30) Alyadum, Yasser Abdullah Mohsen; Falcıoğlu, PınarPurpose- With the advent of the novel COVID-19 disease, the world has become facing an extraordinary situation that has changed the course of normal human life upside down and pushed them towards compulsory, recent technology-based alternative solutions, education being not an exception. Higher education institutions in Turkey rushed from the first moments to avoid the disruption of education process, and transformed into the full-fledged online learning system. Current study addressed aims to investigate how satisfied higher education students are with the transformation to Blackboard Learning System in İstanbul, Turkey during COVID-19. The study compares undergraduate and postgraduate students’ perceptions via thirty items divided into six axes, which are included in a single model. Methodology- An online questionnaire survey sent through BLS itself and WhatsApp was filled out by a total of 294 student respondents, wherein afterwards an inferential and descriptive study with quantitative approach has been employed for analyzing their perceptions. Findings- The results are indicative that the Usefulness, Engagement, Communication and Ease of Use, Self-efficacy, and Challenges axes respectively have a statistically significant effect on students’ perceptions concerning satisfaction with the BLS. As the Usefulness and Engagement axes have the highest contribution to students’ satisfaction with the BLS, the Challenges axis has the least contribution. The findings state that satisfaction of postgraduate students, in terms of Self-efficacy, Communication and Ease of Use and Challenges axes, along with a clear supremacy over the Overall axes level is higher than undergraduate students. Moreover, all demographic dimensions except gender, place of living, the kind of device preferred and the willingness in using BLS in the future, influence students’ perceptions. Conclusion- It can be concluded that the transformation into BLS during COVID-19 has been satisfactory for higher education students, especially for postgraduate students. Some traits and drawbacks of BLS have been inferred along with recommendations which may contribute to successful implementation of BLS.Yayın Tracing the evolution of ecommerce: historical foundations, impacts of the pandemic, and future directions(Bayburt Üniversitesi, 2025-01-29) Örendil, EmreElectronic commerce, or ecommerce, has been a topic of interest particularly in the last years. While ecommerce activities are notably facilitated today, it has gone through notably different forms since its first seeds were planted. The COVID-19 pandemic was a crisis for most businesses but also an opportunity for some, especially for those who were able to pivot or transform their businesses with respect to the new needs of consumers. With the positive impact of the pandemic on ecommerce sector observed especially as of the second quarter of 2020, its trend has surpassed the expectations. This overperformance came with numerous sceptical questions about the future of ecommerce. This study investigates the historical evolution, pandemic-induced transformations, and future trends of ecommerce. It conveys a compilation of milestones through systematic literature review with a focus on the practicality. This paper provides with a timeline of the ecommerce history to bridge its evolution in the last 80 years by visualizing the phases it has been through along with its anticipated trend in the upcoming years. The studied data reveals how COVID-19 accelerated ecommerce growth and highlights its implications for global retail. The growth of ecommerce may slow down but it will endure its growth as online shopping has already become an indispensable habit.
