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Taşıyıcı koalisyonlar ve ormanın içindeki CHP
No full textCHP yönetimi tarihe kalmak, konjonktürün kendisine armağan ettiği seçim başarılarının ötesinde başarı kazanmak istiyorsa mutlaka ideolojik bir dönüşüm geçirmelidir.Siyaset Bilimci Hasan Bülent Kahraman CHP'ye tarihsel bir perspektiften bakarak; "CHP, maalesef, son 25 yılda daima sağ eğilimler gösterdi ve kendisini, apolitik kavramlarla, kültürel planda dahi tartışmalı kavramlarla özdeşleştirerek statükoyla ve sistemle bütünleştirdi. Son dönem için aynı şey söylenemez. Büyük bir arayışın partiye hakim olduğu görülüyor." tespitini yapıyor ve ekliyor; "Eğer CHP yönetimi tarihe kalmak, konjonktürün kendisine armağan ettiği seçim başarılarının ötesinde başarı kazanmak istiyorsa mutlaka ideolojik bir dönüşüm geçirmelidir. O dönüşümün adı sosyal demokratik dönüşümdür.
ANN activation function estimators for homomorphic encrypted inference
No full textHomomorphic Encryption (HE) enables secure computations on encrypted data, facilitating machine learning inference in sensitive environments such as healthcare and finance. However, efficiently handling non-linear activation functions, specifically Sigmoid and Tanh, remains a significant computational challenge for encrypted inference using Artificial Neural Networks (ANNs). This study introduces a lightweight, ANN-based estimator designed to accurately approximate activation functions under homomorphic encryption. Unlike traditional polynomial and piecewise linear approximations, the proposed ANN estimators achieve superior accuracy with lower computational overhead associated with bootstrapping or high-degree polynomial techniques. These estimators are trained on plaintext data and seamlessly integrated into encrypted inference pipelines, significantly outperforming conventional methods. Experimental evaluations demonstrate notable improvements, with ANN estimators enhancing accuracy by approximately 2% for Sigmoid and up to 73% for Tanh functions, improving F1-scores by approximately 2% for Sigmoid and up to 88% for Tanh, and markedly reducing Mean Square Error (MSE) by up to 96% compared to polynomial approximations. The ANN estimator achieves an accuracy of 97.70% and an AUC of 0.9997 when integrated into a CNN architecture on the MNIST dataset, and an accuracy of 85.25% with an AUC of 0.9459 on the UCI Heart Disease dataset during ciphertext inference. These results underscore the estimator’s practical effectiveness and computational feasibility, making it suitable for secure and efficient ANN inference in encrypted environments.Publisher's Versio
Complex rays and applications
No full textComplex rays are a fascinating aspect of modern diffraction theory, typically sought as complex solutions to the eikonal equation. Traditionally, these solutions are obtained by analytically continuing real rays into the complex domain. However, this approach demands the analyticity of initial data, significantly limiting its applicability to many practical problems. Additionally, unlike real rays, complex rays cannot be visualized in space, presenting another drawback. In this paper, we present an alternative interpretation of complex rays, as introduced in [1], and describe a novel approach to two model diffraction problems and Gaussian beams.Publisher's Versio
The role of online tools in the democratisation of art museums: the case of Turkey
No full textSanat müzeleri, kültürel mirasın korunması ve erişilebilirliğini sağlama işlevleriyle önemli kültürel kurumlardır. Müzelerin dijitalleşme süreci, sanat eserlerine erişimde coğrafi ve sosyal engelleri ortadan kaldırarak geniş bir kitleye ulaşmayı mümkün kılmaktadır. Çevrimiçi araçlar, özellikle fiziksel olarak müzeleri ziyaret edemeyen veya dezavantajlı gruplar için sanatla bağ kurma fırsatı sunar. Pandemi döneminde müzeler, dijital teknolojilerin sanata erişim sağlama ve toplumsal katkı sunma potansiyelini daha net ortaya koymuştur. Bu araçlar, bireylerin estetik deneyimlerini demokratikleşme yönünde önemli bir adım olarak değerlendirilmiştir. Bu çalışma, Türkiye’deki sanat müzelerinin çevrimiçi faaliyetlerinin toplumun sanata erişimi üzerindeki etkisini ve bu faaliyetlerin demokratikleşmeye katkısını incelemektedir. Araştırma sorusu, çevrimiçi araçların sanat müzelerinin daha geniş bir kitleye ulaşmasını ve toplumsal erişimi nasıl etkilediği üzerine odaklanmaktadır. Çalışma, müzelerin dijital platformları kullanımının incelenmesi, müze yetkilileriyle yapılan yarı yapılandırılmış görüşmeler ve çevrimiçi müze deneyimlerine katılan izleyicilerle yapılan anketler yoluyla gerçekleştirilmiştir. Bu araştırmada, Türkiye’de çağdaş sanat odaklı sergiler düzenleyen, çevrim içi platformlarda aktif olarak içerik üreten, eğitim ve izleyici etkileşimi alanlarında kurumsal yapılanmaya sahip sanat müzeleri ile sanat merkezleri örneklem olarak seçilmiştir. Bu çerçevede, çalışmanın analiz kapsamına Pera Müzesi, Sakıp Sabancı Müzesi, İstanbul Modern Sanat Müzesi, Odunpazarı Modern Müze ve müze işlevi üstlenen ARTER (Kültür ve Sanat Merkezi) dâhil edilmiştir. Literatür taraması ve vaka incelemelerinin yanı sıra, elde edilen nicel ve nitel veriler, çevrimiçi uygulamaların sanata erişimi demokratikleştirmede önemli bir rol oynadığını göstermektedir. Özellikle Instagram, çevrimiçi müze etkinliklerinin duyurulmasında en etkili platform olarak öne çıkmaktadır. Ana bulgular, çevrimiçi araçların, coğrafi engelleri ortadan kaldırarak daha geniş bir izleyici kitlesine erişim sağladığını, ancak yaş, cinsiyet ve eğitim düzeyine göre memnuniyet düzeylerinde farklılıklar olduğunu göstermektedir. Kadınlar ve yükseköğretim mezunları çevrimiçi etkinliklerden daha fazla memnuniyet duyarken, 45 yaş üstü bireylerin memnuniyeti daha düşük seviyede kalmıştır. Çalışma, çevrimiçi teknolojilerin etkin kullanımının sanata erişimi artırdığı ve sanat müzelerinin toplumla daha güçlü bir bağ kurmasına katkıda bulunduğunu vurgulamaktadır.Art museums serve as vital institutions for preserving and disseminating cultural heritage. In recent years, the integration of digital technologies has significantly transformed how museums engage with their audiences. This shift has opened new avenues for inclusive participation by breaking down geographical, physical, and socio-economic barriers that traditionally limited access to art. Especially during the COVID-19 pandemic, the significance of online platforms in enabling cultural engagement and sustaining intellectual access became increasingly evident. This study investigates the role of online tools in promoting the democratisation of art museums in Turkey, focusing on how digital strategies enhance public access and participation. The research employs a mixed-methods approach combining qualitative (literature review, case studies, semi-structured interviews) and quantitative (surveys) techniques to explore how Turkish art museums utilize digital platforms. The selected sample includes five prominent contemporary art institutions: Pera Museum, Sakıp Sabancı Museum, Istanbul Modern Art Museum, Odunpazarı Modern Museum (OMM), and ARTER (a cultural center functioning as a museum). These institutions were chosen based on their active engagement in online activities, commitment to public education, and efforts to reach diverse audiences. Through interviews with museum professionals and surveys conducted with online event participants, the study reveals that online tools play a crucial role in expanding the museums’ reach. Instagram emerged as the most effective platform for promoting digital events, followed by YouTube and Facebook. These platforms enable museums to announce exhibitions and programs and provide spaces for creative digital experiences, such as virtual exhibitions, live streams, artist talks, and online workshops. For example, the Pera Museum offers 3D exhibitions and VR-based experiences like the digitally reconstructed studio of Osman Hamdi Bey. At the same time, Sakıp Sabancı Museum provides extensive online access to its collections and archives. Findings suggest that digital initiatives have helped museums connect with audiences beyond the physical boundaries of their institutions. However, the data also highlight essential disparities. Women and individuals with higher education levels reported greater satisfaction with online events, while participants over 45 were less engaged and reported lower satisfaction. This demographic divide underlines the need for museums to design content that is accessible and appealing to older audiences as well as to other underrepresented groups. While most participants use digital platforms primarily to gain knowledge about exhibitions and artists, physical visits to museums still hold strong appeal and are seen as more enriching by many. Physical experiences allow visitors to engage more deeply with artworks and often enhance appreciation for the corresponding digital content. This observation suggests that online and in-person museum experiences are not mutually exclusive but complementary in fostering a holistic understanding and enjoyment of art. The study also notes that museums’ use of digital platforms is uneven. Istanbul Modern stands out with its broad digital engagement, including a dedicated “Digital Learning Program,” while OMM has a more limited online presence and lacks mobile applications or YouTube content. The research indicates that further investment in digital infrastructure—such as user-friendly websites, mobile-friendly platforms, and cross-platform content strategies—would improve access and engagement. Furthermore, audience research and feedback mechanisms appear underdeveloped in Turkish museums. Few institutions systematically collect and analyze visitor data to evaluate digital initiatives. Strengthening these feedback loops would allow museums to understand audience needs better and refine their strategies accordingly. International examples suggest that transparency through public reports and regular evaluation enhances institutional credibility and public trust—practices that Turkish museums might benefit from adopting. The overarching themes emerging from the data include “access,” “public openness,” “digital transformation,” “experiential engagement,” and “spatial redefinition.” These concepts reflect the museums' broader goal of making art more democratic by reaching wider audiences and offering diverse, meaningful experiences through both physical and virtual means. Notably, “access” was consistently emphasized by all interviewed institutions, highlighting a shared commitment to removing barriers and enhancing inclusivity. To further democratize art access, the study recommends several strategic actions. These include the expansion of interactive digital programming, such as virtual guided tours and artist Q&As, and increased personalization through AI-based content recommendations; and developing specialized content for underserved groups such as older adults or those with limited digital literacy. Additionally, tailoring social media content to align with platform-specific user behavior—e.g., visual storytelling for Instagram, concise updates for X (formerly Twitter)—can improve engagement metrics. In conclusion, online tools have emerged as powerful instruments for expanding access to art and democratizing the role of museums in contemporary society. In the case of Turkey, integrating digital platforms into museum operations has created new opportunities for audience outreach and education. However, challenges remain regarding digital inclusion, demographic disparities, and systematic feedback mechanisms. Addressing these issues will ensure that the digital turn in museology genuinely fosters inclusivity, participation, and sustained cultural engagement across all segments of society.Publisher's Versio
Predictive modelling of surface roughness and residual stress induced by milling of hot forged and heat treated AA7075
No full textThe authors would like to thank the Birinci Otomotiv A.S for the financial and equipment support and Simultura Material Technologies Inc. for residual stress measurements.This study investigates the influence of cutting parameters on residual stress and surface roughness during the milling of hot-forged and T6 heat-treated AA7075 components. Using Taguchi L9 and full-factorial experimental designs and regression modelling, the research highlights important relationships between cutting parameters (cutting speed, feed rate, and depth of cut), residual stress and surface roughness. Higher cutting speeds (350 m/min) and lower feed rates (0.1 mm/tooth) significantly minimized residual stresses, with hoop stress values decreasing from 108.7 MPa at lower speeds (150 m/min) to approximately 73.4 MPa at higher speeds, and axial stress values ranging from 45.9 MPa to 88.5 MPa. Surface roughness (Ra) was most influenced by feed rate, with measurement values varying between 0.25 mu m and 0.92 mu m. Support Vector Regression (SVR) demonstrated better accuracy for predicting residual stress (MAPE: 11.5%) and surface roughness (MAPE: 7%), outperforming Lasso and Ridge regression models. These findings provide a consistent framework for optimizing cutting parameters and enhancing residual stress and surface roughness in AA7075 machining processes, offering practical implications for improving component performance and manufacturing efficiency.Birinci Otomotiv A.Ş.Simultura Material Technologies Inc.Publisher's Versio
Grammar or crammer? the role of morphology in distinguishing orthographically similar but semantically unrelated words
No full textWe show that n-gram-based distributional models fail to distinguish unrelated words due to the noise in semantic spaces. This issue remains hidden in conventional benchmarks but becomes more pronounced when orthographic similarity is high. To highlight this problem, we introduce OSimUnr, a dataset of nearly one million English and Turkish word-pairs that are orthographically similar but semantically unrelated (e.g., grammar - crammer). These pairs are generated through a graph-based WordNet approach and morphological resources. We define two evaluation tasks - unrelatedness identification and relatedness classification - to test semantic models. Our experiments reveal that FastText, with default n-gram segmentation, performs poorly (below 5% accuracy) in identifying unrelated words. However, morphological segmentation overcomes this issue, boosting accuracy to 68% (English) and 71% (Turkish) without compromising performance on standard benchmarks (RareWords, MTurk771, MEN, AnlamVer). Furthermore, our results suggest that even state-of-the-art LLMs, including Llama 3.3 and GPT-4o-mini, may exhibit noise in their semantic spaces, particularly in highly synthetic languages such as Turkish. To ensure dataset quality, we leverage WordNet, MorphoLex, and NLTK, covering fully derivational morphology supporting atomic roots (e.g., '-co_here+ance+y' for 'coherency'), with 405 affixes in Turkish and 467 in English.Publisher's Versio
An analysis of Kim Ki-duk’s films in the context of Derrida’s concept of “hospitality”
No full textText in Turkish ; Abstract: Turkish and EnglishIncludes bibliographical references (leaves 83-92)xiii, 95 leavesBu çalışma, Güney Koreli auteur yönetmen Kim Ki-duk’un Time (Zaman, 2006), Samaritan Girl (Fedakâr Kız, 2004), 3-Iron (Boş Ev, 2004) ve The Net (Ağ, 2016) filmleri aracılığıyla, Jacques Derrida’nın “koşullu” ve “koşulsuz konukseverlik” kavramları ekseninde toplumsal eleştirinin nasıl inşa edildiğini incelemektedir. Çalışmada sinema, kültürel ve politik gelişmeleri yansıtan düşünsel bir alan olarak ele alınmaktadır. Kendi toplumu ve ülkesindeki sinema endüstrisi içinde zaman zaman dışlanan bir yönetmen olarak Kim Ki-duk’un; dışlanmış olanlara, sınır ihlallerine ve ötekileştirmeye odaklanan sineması, Derridacı konukseverlik düşüncesiyle incelemeye elverişli bir anlatı zemini sunar. Kendi toplumu ve ülkesindeki sinema endüstrisi içinde zaman zaman dışlanan bir yönetmen olarak Kim Ki-duk’un; dışlanmış bireylere, sınır ihlallerine ve ötekileştirmeye odaklanan sineması, Derridacı konukseverlik düşüncesiyle analiz edilmeye uygun bir anlatı zemini sunmaktadır. Çalışmada, Derrida’nın konukseverlik anlayışı temelinde; birey-toplum, ev sahibi-misafir, içerideki-dışarıdaki gibi karşıtlıklar üzerinden gelişen temsiller analiz edilmiştir. Konukseverliğin iç yüzüne ışık tutmak amacıyla; “öteki”, “yabancı” ve “misafir” figürleri üzerinden karakterlerin nasıl temsil edildiği; sınırların nasıl kurulduğu ve nasıl aşıldığı; konukluğun hangi koşullarda mümkün veya imkânsız hâle geldiği sorgulanmıştır. Bir sonraki aşamada yönetmenin konuk veya evsahibini etik temsil yönünden nasıl ele aldığı incelenmiştir. Zaman’da (2006) kıskançlık ve güvensizlik duygularıyla tetiklenen bedensel dönüşüm, bireyin sadece karşısındakine değil, kendine de yabancılaşmasıyla sonuçlanır. Fedakâr Kız (2004) arkadaşlar arasındaki gerilimli ilişki ve ailedeki ahlaki normların hükmettiği koşullu bir konukseverliğin resmini çizer. Boş Ev (2004), mahrem mekâna, yani eve dair sınırların ihlalini konu ederek koşulsuz konukseverliğe başka bir açıdan bakarken; Ağ (2016) politik sınırlarda karşılıklı (ya da tek taraflı) konukseverliğin imkânsızlığını tartışmaya açar. Bu bağlamda çalışma, Kim Ki-duk’un filmlerinde bireyden topluma uzanan temsiller aracılığıyla Derrida’nın “konukseverliğin ne olduğunu hâlâ bilmiyoruz” önermesi üzerinde yeniden düşünmeye ve yönetmenin topluma yönelik eleştirel duruşunu kavramaya davet eder. Konukseverlik ve sinema ilişkisi üzerine dört filmlik bir seçkide gerçekleştirilen bu sınırlı analiz, alanda yapılacak yeni çalışmalar için bir düşünsel başlangıç noktası sunmayı amaçlamaktadır.This study examines how social criticism is constructed through the lens of Jacques Derrida’s concepts of “conditional” and “unconditional hospitality” in four films by South Korean auteur director Kim Ki-duk: Time (2006), Samaritan Girl (2004), 3-Iron (2004), and The Net (2016). In this study, cinema is approached as an intellectual space that reflects cultural and political developments. As a filmmaker who has at times been marginalized within his own society and national film industry, Kim Ki-duk’s cinema, which focuses on exclusion, boundary crossing and otherness, provides a fertile narrative ground for analysis through Derrida’s theory of hospitality. The study analyzes representations that develop along dichotomies such as individual - society, host - guest, and insider - outsider, based on Derrida’s understanding of hospitality. In order to shed light on the inner structure of hospitality, it questions how characters are represented through the figures of the “other,” the “stranger,” and the “guest”; how boundaries are established and transgressed; and under what conditions hospitality becomes possible or impossible. Subsequently, the study explores how the filmmaker ethically represents the host or guest. In Time (2006), bodily transformation triggered by jealousy and insecurity results in an estrangement not only from the other, but also from the self. Samaritan Girl (2004) portrays a conditional form of hospitality governed by moral norms within the family and marked by tensions among friends. 3-Iron (2004) offers a different perspective on unconditional hospitality by depicting the violation of boundaries surrounding private space, the home. Meanwhile, The Net (2016) opens a discussion on the impossibility of reciprocal or one-sided hospitality at political borders. In this context, the study invites the reader to reconsider Derrida’s assertion that “we still do not know what hospitality is” through the representations that extend from the individual to society in Kim Ki-duk’s films, and to better understand the director’s critical stance toward society. This limited analysis of four selected films aims to offer an intellectual starting point for further studies in the field on the relationship between hospitality and cinema.KONUKSEVERLİK VE SİNEMAKONUKSEVERLİK KAVRAMINA GENEL BAKIŞKONUKSEVERLİĞİN SİNEMAYA YANSIMASIGÜNEY KORE SİNEMASINDA KONUKSEVERLİKKIM KI-DUK SİNEMASIKORE VE KÜRESELLEŞMEİkiye bölünmüş bir toplumPopüler kültürü ihraç etmek ve Hallyu1970’LERDEN BUGÜNE KORE SİNEMASIKIM KI-DUKHayat okulundan mezun bir yönetmenSinema dili ve tematik tercihleriMarjinallerin sinemasıDerrida perspektifinden Kim Ki-DukDERRIDA’NIN KONUKSEVERLİK KURAMIYAPISÖKÜM KURAMININ GELİŞİMİYAPISÖKÜMCÜLÜK VE DERRIDADERRIDA’NIN KONUKSEVERLİK KAVRAMIFİLM ÇÖZÜMLEMELERİKonukseverlikÖteki/Yabancı/Misafir ayrımıSınırların oluşumuEtik TemsilZAMAN FİLMİ ÇÖZÜMLEMESİFEDAKAR KIZ FİLMİ ÇÖZÜMLEMESİBOŞ EV FİLMİ ÇÖZÜMLEMESİAĞ FİLMİ ÇÖZÜMLEMES
A multi-criteria decision support framework for incident prioritization and analyst assignment in security operations centers
No full textText in Turkish ; Abstract: Turkish and EnglishIncludes bibliographical references (leaves 61-62)xv, 63 leavesBu çalışmada, Güvenlik Operasyon Merkezleri (SOC) için olay atama ve önceliklendirme süreçlerine yönelik kapsamlı ve ölçeklenebilir bir çerçeve önerilmektedir. Önerilen model; analist iş yoğunluğu, alarm yoğunluğu ve tutarsız olay yönetimi gibi temel operasyonel zorlukları ele alarak SOC iş akışlarını optimize etmeyi amaçlamaktadır. Geliştirilen çerçeve, her bir olayı; şiddet seviyesi, SLA aciliyeti, olay türü, varlık kritiklik düzeyi, tehdit istihbaratı göstergeleri, tekrar sıklığı ve geçmiş olay verilerine dayalı korelasyon puanı gibi çok sayıda faktörü içeren çok kriterli bir puanlama modeli ile değerlendirmektedir. Bu değerlendirme süreci, dinamik olay puanlarını hesaplayan ve olayın karmaşıklık düzeyini belirleyen matematiksel fonksiyonlar aracılığıyla biçimsel hale getirilmiştir. Eşzamanlı olarak, analist profilleri; iş yükü dağılımını ve uzmanlık uyumunu dikkate alan iki yenilikçi metrik olan Analist Yük Faktörü (ALF) ve Deneyim Uyumluluk Faktörü (EMF) kullanılarak nicelleştirilmiştir. Olay–analist eşleştirme süreci, olay önceliği ile analist uygunluğunu dengeleyen kısıtlı bir optimizasyon problemi olarak tanımlanmıştır. Bu formülasyon; olayların en uygun analistlere, gerçek zamanlı ve otomatik olarak atanmasını sağlarken; operasyonel değerin korunmasını ve triyaj hassasiyetinin sürdürülmesini mümkün kılar. Model, algoritmik yalancı kodlar, puanlama tabloları ve büyük ölçekli SOC ortamlarında modelin karar mantığını ve pratik uygulanabilirliğini gösteren örnek bir vaka çalışması ile doğrulanmıştır. Gerçek dünya koşullarında çerçevenin geçerliliğini değerlendirmek amacıyla, CICIDS2017 benchmark veri setinden seçilen 10 saldırı senaryosu kullanılarak ampirik bir vaka çalışması gerçekleştirilmiştir. Genel olarak, bu çalışmanın katkısı; ikili faktöre dayalı bir analist puanlama şemasının biçimselleştirilmesi ve bağlamsal olay özelliklerinin uyarlanabilir ve kural tabanlı bir yapı çerçevesiyle bütünleştirilmesidir. Operasyonel değeri daha da artırmak amacıyla, gelecekte yapılacak çalışmalarda dinamik ağırlıklandırma mekanizmaları ile gerçek zamanlı SIEM veri akışlarıyla entegrasyon sağlanması planlanmaktadır. Ayrıca, analist geri bildirim döngülerinin ve denetimli öğrenme modellerinin sisteme entegre edilmesiyle olay-atama ve önceliklendirme süreçlerinin sürekli olarak iyileştirilmesi hedeflenmektedir.In this thesis, we propose a comprehensive and scalable framework for incident assignment and prioritization in Security Operations Centers (SOCs). The proposed model aims to optimize SOC workflows by addressing key operational challenges such as analyst fatigue, alert overload, and inconsistent incident handling. Our framework evaluates each incident using a multi-factor scoring model that incorporates severity level, service-level agreement (SLA) urgency, incident type, asset criticality, threat intelligence indicators, frequency of repetition, and a correlation score derived from historical incident data. We formalize this evaluation through a set of mathematical functions that compute a dynamic incident score and derive incident complexity. In parallel, analyst profiles are quantified using Analyst Load Factor (ALF) and Experience Match Factor (EMF), two novel metrics that account for both workload distribution and expertise alignment. The incident–analyst matching process is expressed as a constrained optimization problem, where the final assignment score is computed by balancing incident priority with analyst suitability. This formulation enables automated, real-time assignment of incidents to the most appropriate analysts, while ensuring both operational fairness and triage precision. The model is validated using algorithmic pseudocode, scoring tables, and a simplified case study, which illustrates the real-world applicability and decision logic of the framework in large-scale SOC environments. To validate the framework under real-world conditions, an empirical case study was conducted using 10 attack scenarios from the CICIDS2017 benchmark dataset. Overall, our contributions lie in the formalization of a dual-factor analyst scoring scheme and the integration of contextual incident features into an adaptive, rule-based assignment framework. To further strengthen operational value, future work will explore adaptive weighting mechanisms and integration with real-time SIEM pipelines. Additionally, feedback loops and supervised learning models will be incorporated to continuously refine analyst-incident matching and prioritization
Hegemonik devlet söyleminin patolojik izi: Nazım Hikmet’in mezarı
No full text"Türkiye’de devlet de kendisine esirdir. İşin daha da kötü yanı, o hegemonik devlet söylemi toplum tarafından, farkında olunmadan içselleştirilir. Herkes, devlet söylemini çoğaltmaya başlar. Nazım Hikmet’in mezarı, hegemonik devlet anlayışının en güçlü imgelerinden biridir.
Understanding AI adoption at organizations: literature review of TOE framework
No full textPurpose- 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.Publisher's Versio