Işık University Institutional Repository
Digitally stores academic resources such as books, articles, dissertations, bulletins, reports, research data published directly or indirectly by İbn Haldun University at international standards, helps track the academic performance of the university, provides long term preservation for resources and makes publications available to Open Access in accordance with their copyright to increase the effect of publications.
Recent Submissions
Understanding AI adoption at organizations: literature review of TOE framework
(Suat Teker, 2025-07-30)
Purpose- In the contemporary business landscape, we are witnessing the rapid development of Artificial Intelligence (AI), which is fundamentally reshaping organizational practices. These developments mark what can be described as the "Era of AI", a significant milestone in technological history. While AI offers benefits, it also presents critical challenges, particularly concerning its adoption and the adaptation processes within organizations. Despite the swift evolution of AI technologies, research on their practical applications in organizational settings remains scarce and underdeveloped. This gap highlights a promising area for further exploration. In alignment with the literature, it can be argued that organizations with higher AI adoption rates tend to achieve better innovation outcomes, which suggests a need to revisit and potentially expand the Technology-Organization-Environment (TOE) paradigm. Originally developed to explain technological adoption/embracement, the TOE framework may not capture the complexities introduced by AI. This study aims to explore whether an expanded TOE paradigm is necessary to better address the contemporary dynamics of AI adoption. Methodology- This research investigates the historical development and consolidation of AI within organizations, using the TOE paradigm as a foundational theoretical look. The study examines whether the existing TOE model sufficiently explains AI adoption or whether it requires augmentation to remain relevant in the age of generative AI. Findings- Literature review findings indicate that the traditional TOE framework exhibits limitations when applied to AI adoption. To address these gaps, another study was found in the literature that proposes the inclusion of a human factor—transforming the TOE into a TOEH (Technology-Organization-Environment-Human) model. In our research we would like to integrate critical thinking (CT) skills under Human Factor, as organizations increasingly seek employees who can critically assess and effectively utilize outputs from generative AI (GenAI) tools. The ability to make intelligent and ethical decisions in the context of AI is now a vital competency. Conclusion- The proposed TOEH framework offers a more well-rounded approach to discovering AI adoption within organizations. By incorporating the human element, particularly critical thinking skills, organizations can better prepare to embrace AI in an ethical, effective, and innovative manner.
The impact of social media and digital marketing on brand awareness and purchasing behavior of millennials in Istanbul
(Suat Teker, 2025-07-30)
Purpose- This study aims to investigate the impact of social media and digital marketing on brand awareness and purchasing behavior of millennials residing in Istanbul. The research focuses on how digital platforms, particularly social media, influence consumer perceptions, shape buying decisions, and foster brand loyalty among this key demographic. Methodology- A quantitative research approach was utilized, employing a structured online questionnaire distributed among 403 millennials in Istanbul. Data collection was based on validated scales measuring perceived product quality, product perception, brand recall, brand recognition, and purchasing behavior. The data were analyzed using descriptive statistics, correlation, and multiple regression analysis through SPSS version 21 to determine the relationship between brand awareness measures and purchasing behavior. Findings- The results reveal that perceived product quality, product perception, brand recall, and brand recognition all have a significant positive impact on the purchasing behavior of millennials. The analysis showed no significant differences in purchasing behavior according to gender, age, or education. The findings highlight that millennials are highly influenced by digital marketing strategies and social media campaigns, which enhance brand awareness and drive purchase decisions. Conclusion- The research concludes that social media and digital marketing play a critical role in shaping brand awareness and influencing the purchasing decisions of millennials. Brands that focus on effective digital marketing strategies and active social media engagement are more likely to increase customer loyalty and boost sales among this demographic. The study suggests that digital marketers should develop creative and targeted content, collaborate with influencers, and leverage data analytics to further enhance engagement with millennials.
Michel Foucault’nun “Öznel” ve “Yeni” kavramları ışığında “Las Meninas” ve “Narcissus”a bakış
(Işık Üniversitesi Yayınları, 2025-07-25)
Bu araştırmada, Michel Foucault’nun felsefesinde, özne ve iktidar ilişkileri ekseninde, öznel deneyimin hâkim söylem aracılığıyla kurularak bireyi tanımlaması ve özgürlüğü sınırlandırması olgusu ele alınmıştır. Foucault’nun, insanın, siyasi boyutları ile tarihsel olarak dayatılan kimliklerden sıyrılarak özgürlüğünü geri kazanabilmesi için önerdiği; karşı özneleşme ile yeni söylemler inşa etme ve yeni öznellikler kurma düşüncesi incelenmiştir. Bu bağlamda, resmedildiği çağda bir söylem değişikliğine neden olan, Foucault’nun da hakkında yazdığı Diego Velázquez’in Las Meninas eserinin, Pablo Picasso ve Salvador Dalí tarafından yeniden üretilmeleri, betimsel ve yoruma dayalı bir yaklaşımla çözümlenmiştir. Araştırmada, klasikleşmiş bir sanat eseri olan Las Meninas’ın, yorumlandığı çağın sanat anlayışının söylemi doğrultusunda yeniden kurularak; karşı özneleşmesini ve yeni bir öznellik sürecini nasıl gerçekleştirdiğinin, Foucault’nun felsefesine dayanan teorik çerçevede ilişkilendirilmesi amaçlanmıştır.
Mental disorder and suicidal ideation detection from social media using deep neural networks
(Springer, 2024-12)
Depression and suicidal ideation are global reasons for life-threatening injury and death. Mental disorders have increased especially among young people in recent years, and early detection of those cases can prevent suicide attempts. Social media platforms provide users with an anonymous space to interact with others, making them a secure environment to discuss their mental disorders. This paper proposes a solution to detect depression/suicidal ideation using natural language processing and deep learning techniques. We used Transformers and a unique model to train the proposed model and applied it to three diferent datasets: SuicideDetection, CEASEv2.0, and SWMH. The proposed model is evaluated using the accuracy, precision, recall, and ROC curve. The proposed model outperforms the state-of-theart in the SuicideDetection and CEASEv2.0 datasets, achieving F1 scores of 0.97 and 0.75, respectively. However, in the SWMH data set, the proposed model is 4% points behind the state-of-the-art precision providing the F1 score of 0.68. In the real world, this project could help psychologists in the early detection of depression and suicidal ideation for a more efcient treatment. The proposed model achieves state-of-the-art performance in two of the three datasets, so they could be used to develop a screening tool that could be used by mental health professionals or individuals to assess their own risk of suicide. This could lead to early intervention and treatment, which could save lives.
Best proximity point theorems in non-Archimedean Menger probabilistic spaces
(University of Kragujevac, Faculty of Science, 2024)
In this work, we prove best proximity point theorems for γ-contractions with conditions the weak P-property in non-Archimedean Menger probabilistic metric spaces. We give the notion of γ- proximal contractions of first and second type in non-Archimedean Menger probabilistic metric spaces and also we establish best proximity point theorems for these proximal contractions. Lastly, we complete our study by giving examples that support our results.
