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The Impact of Internal Marketing on Organizational Agility
No full textThe purpose of this research is to examine the moderating effect of internal marketing on the relationship between internal marketing and the organizational agility in aviation sector in terms of responsiveness, competency, flexibility, and speed. Hence, a quantitative research design is adopted and an inductive method used to examine the interdependence of these factors. The target population is working in Istanbul Airport in Istanbul city, and intentional sampling of 140 participants is adopted to guarantee equal distribution of age, gender, qualification, and experiences. The data obtained from a structured questionnaire are analyzed by using SPSS software. The questionnaire developed through a systematic process of reviewing literature and multiple relevant studies is consisted of two scales; Internal Marketing Scale and Organizational Agility Scale. Demographic characteristics of the participants are described and multiple tests were run such as normality, reliability, and correlation and regression analysis, to determine the relationship among variables. The majority of the participants are male with 30-40 age range and had 1-3 years of working experience. Results showed that training, internal communication, teamwork, and motivation impact on organizational agility to a great extent. Training found to have a higher influence toward the agility factors such as Responsiveness, Competency, and Flexibility. Moreover, it also influenced organizational agility. The regression analysis supported that all internal marketing activities used in the study act as positive predictors of organizational agility. Internal marketing is considered an important determinant of organizational agility in technically complex industries such as aviation as pointed out in this research
Quantum Approach on Convolution of Harmonic Univalent Mappings
No full textIn this paper, we construct a new family of locally univalent and sense-preserving harmonic mappings Tc,q [f] by using quantum approach in the open unit disk D. We prove that the convolution of a harmonic convex mapping Tc,q [f] with a right half-plane mapping is q-convex in the direction of the real axis provided that the convolution is locally univalent and sense-preserving. Further, we show that the convolution of Tc,q [f] with a vertical strip mapping is also q-convex in the direction of the real axis. In particular, the results in this paper generalize or improve (in certain cases) the corresponding results obtained by recent researchers
Türkiye'de Yüksek Teknolojili Ürün İhracatı İle Büyüme İlişkisi
No full textBu çalışma Türkiye'nin 1990-2023 yılları arasında gerçekleştirmiş olduğu yüksek teknolojili ürün ihracatı ile büyüme ilişkisini ekonomik açıdan ele almak, nedenselliğini ölçebilmek ve açıklayabilmek adına yapılmıştır. Bu süreçte Türkiye'de yüksek teknolojili ürün ihracatı ve büyüme ilişkisi incelenmiştir. Çalışma üç bölümden oluşmaktadır. Birinci bölümde teorik çerçevede ekonomik büyüme modelleri hakkında durulup konuyla ilgili kavramlar hakkında bilgi verilmektedir. İktisat tarihinde büyüme teorileri, modelleri ve yapıları üzerinde araştırma yapılmıştır. İkinci bölümde yüksek teknolojili ürün ihracını ve belirleyici faktörler incelenip, belirleyici faktörler ile ilgili literatür taraması yapılmıştır. Belirleyici faktör ve kavramlar detaylı bir şekilde açıklanarak bilgi verilmiştir. Üçüncü bölümde Türkiye'nin makro ekonomik verileri temin edilip, nedensellik bağı kurulup, ekonomik yöntemlerle analizi yapılmıştır. Toplanan değişkenler neticesinde bulgular değerlendirildiğinde Türkiye'de yüksek teknolojili ürün ihracı ile büyüme arasında pozitif bir ilişki olduğu sonucuna varılmıştır
Personalized Learning and Innovative Teaching Approaches in Universities: Artificial Intelligence-Supported Science Education
No full textThis study aims to analyze AI-supported personalized learning applications in university science education and their integration with innovative teaching approaches by drawing on existing literature. The study examines how AI transforms learning environments, optimizes learning processes according to individual student needs, and influences teachers' pedagogical approaches. The methodology employed involves a thorough analysis of the relevant literature, evaluating the role of AI-supported systems in science education and the effectiveness of personalized and adaptive learning systems. The findings show that artificial intelligence improves conceptual understanding and problem-solving skills, but there are significant gaps and contradictions in the literature regarding long-term impact, scalability, applicability in different socioeconomic contexts, and faculty members' digital pedagogical competencies. It also emphasizes the need for further research on student autonomy and the risk of over-reliance on artificial intelligence. To address these gaps, comprehensive empirical studies, interdisciplinary collaborations, and designs that support student autonomy are recommended
Revisiting the Naturalistic Form Contemporary Adaptations by Zinnie Harris and Alexandra Wood
No full textThis document is one of the chapters of the book The Methuen Drama Handbook of Women in Contemporary British Theatre
Some Geometric Properties of the Duals of Cesàro Sequence Spaces
No full textThe spaces d(s) are defined for 0 <= s <= infinity. We consider the fundamental geometric properties of the d(s) spaces, isomorphic duals of the Cesaro sequence spaces ces(r) with 1/s + 1/r =1. We prove that for 1 <= s < infinity, the Banach spaces d(s) are Radon-Riesz spaces that are not rotund or smooth. Moreover, we show that the Banach lattice d(1) has Schur's property, just as i1 does. Finally, a characterization of norm totally bounded subsets of d(1) is also given
Multimodal Insights Into Diverse Pain Experiences: Physiopain Dataset
No full textPhysioPain dataset comprises several physiological data of different kinds of pain: no pain, headache, menstrual cycle pain and back/neck/waist pain in search of a sophisticated and complete approach to pain representation. The study comprised 99 individuals, of whom 93 participants contributed real-time physiological data. These participants underwent experiment process to gather real-time physiological data including electroencephalogram (EEG), skin temperature, electrodermal activity (EDA), blood volume pulse (BVP), and accelerometer data. Combining objective physiological data with subjective information acquired by the survey using the McGill questionnaire and customized questions produces a complete dataset fit for the tasks related to pain estimate, pain classification, and other approaches to pain observation. This method seeks to offer a fresh viewpoint on pain intensity and catch a more complete knowledge of the intricate character of pain experiences.Qatar National Research Fund (QNRF
Intra-Industry Trade Specialization in Türkiye’s Agricultural Sector
No full textThis study examines Türkiye's agricultural trade between 2002 and 2022, focusing on the 20-year period following the 2001 economic and political crisis. Intra-industry trade theory was employed as the research method, with the Grubel-Lloyd index used for measurement. The study highlights that, under neo-liberal policies, developed economies allocate the smallest share of GDP to the agricultural sector, with industrialization and the service sector being prioritized as the foundations of wealth and development. Türkiye adopted a similar approach, shifting its focus away from agricultural growth after 1980 to prioritize investments in industry and services. However, the findings indicate that the countries deriving the most value from agricultural trade—such as the USA, the Netherlands, France, and Germany—are among the most developed. The study also reveals that Türkiye lacks a comparative advantage in the international agricultural market, having opened the sector to competition. Nonetheless, with technological advancements and branding, Türkiye could create added more value in agriculture, potentially increasing its agricultural revenues to levels closer to those of the most developed countries
Multi-Graph Anomaly Detection in Business Processes With Scalable Neural Architectures
No full textBusiness Process Management (BPM) solutions are critical for organizational efficiency, but their potential remains limited by inadequate effectiveness in anomaly detection capabilities for real-world deployment. This study addresses key challenges in developing production-ready anomaly detection systems that are scalable, efficient, and adaptable across diverse business domains. We propose several enhancements to a state-of-the-art graph-based autoencoder model to overcome these barriers. This includes improved artificial anomaly injection methods that more accurately reflect real-world scenarios to overcome the scarcity of annotated datasets in real-world environments. A comprehensive study of multiple model architectures is conducted, incorporating Graph Attention v2 in the encoder and replacing Gated Recurrent Unit (GRU) decoders with Transformers, thereby achieving comparable or superior performance with half the computational cost. Introducing a denoising objective alongside reconstruction, we lay the foundation for targeted training on domain-specific anomalies without compromising general detection capabilities. We demonstrate the solution's reliability and generalizability in varied business domains by conducting comprehensive evaluations on diverse public and private datasets. The results indicate significant improvements in scalability and real-world applicability while maintaining and enhancing detection accuracy, with results showing up to 22% increase in anomaly detection performance.Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK
Solvatochromism and Cis-Trans Isomerism in Azobenzene-4-Sulfonyl Chloride
No full textSolvatochromism exhibited by azobenzene-4-sulfonyl chloride (here abbreviated as Azo-SCl) has been investigated in a series of non-polar, polar-aprotic and polar-protic solvents. The UV-vis spectra of Azo-SCl exhibit two long-wavelength bands, observed at 321-330 nm (band-I) and 435-461 nm (band-II), which are ascribed to the pi*-pi (S2 <- S0) and pi*-n (S1 <- S0) transitions, respectively. The shorter wavelength band indicates a reversal in solvatochromism, from negative to positive solvatochromism, for a solvent with a dielectric constant of 32.66 (which is characteristic of methanol), while the longer wavelength band signposts negative solvatochromism in all range of solvent's dielectric constant investigated, demonstrating different interactions with the solvents in the S2 and S1 excited states. Using Catal & aacute;n and Kamlet-Taft solvation energy models, we found that the shift in the solvatochromic behavior of band-I (S2 <- S0) happens because solvent dipolarity/polarizability and hydrogen bonding affect the S2 state in opposite ways. Dipolarity/polarizability stabilizes the S2 state compared to the ground state, while hydrogen bonding destabilizes it. In contrast, for S1, both effects work together to destabilize the excited state. For all studied solvents, UV irradiation (lambda >= 311 nm; room temperature) was found to lead to fast trans-cis azo photoisomerization. In the absence of light, the photogenerated cis form quickly converts back to the trans form. Interpretation of the experimental data is supported by quantum chemical calculations undertaken within the Density Functional Theory (DFT) framework, including Time Dependent DFT calculations for excited states.Bitlis Eren University
Fundacao para a Ciencia e a Tecnologia (FCT