DSpace Arşivi :: Ana Sayfa

İstanbul Gelişim Üniversitesi Kurumsal Açık Erişim Arşivi

DSpace@Gelişim, İstanbul Gelişim Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.

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Understanding Eco Urbanism Development Through Expert Perspectives on Drivers and Barriers
(Springer Nature, 2026) Alsharif, Abdulaziz Mislat; Agboola, Oluwagbemiga Paul; Türkoğlu, İlknur
Amid escalating environmental pressures and rapid urbanisation, eco-urbanism has emergedas an important framework for guiding sustainable urban development. This study aims toexamine built environment professionals’ awareness, perceptions, and acceptance of eco-urbanism principles and to determine the factors influencing their adoption in practice. Inthis connection, the study pursues three key objectives: (1) to assess the level of awareness, perception and acceptance of eco-urbanism among professionals from different disciplinary backgrounds; (2) to identify the major drivers encouraging the adoption of eco-urbanism principles; and (3) to determine the key barriers that hinder their effective implementation. A structured questionnaire survey was administered to professionals across planning and design, social and behavioural sciences, policy, economics, and development sectors. The collected data were analysed using SPSS version 26.0, applying descriptive statistics, correlation analysis, and multiple linear regression to explore patterns, relationships, and predictive associations. The findings reveal a high overall level of awareness of eco-urbanism, particularly regarding green space integration, with more than 70% of respondents across professional groups indicating that they are “very aware” of the concept. Rapid urbanisation and population growth were identified as the most significant drivers of professional acceptance, while financial constraints emerged as the most prominent barrier to implementation. Additionally, correlation results indicate that certain demographic factors, including gender, significantly influence professionals’ attitudes toward eco-urbanism. Overall, the study provides empirical insights into professional perspectives on eco-urbanism and highlights the importance of supportive policy frameworks, financial incentives, and capacity-building initiatives to facilitate the effective integration of eco-urbanism principles in contemporary urban development.
The Anatomy of Dissatisfaction in Small-Scale Restaurants: Insights from Online Narratives
(John Wiley and Sons Inc, 2026) Çıkı, Kartal Doğukan; Öztürk, Erhan Nuh
This study aims to identify the components of customerdissatisfaction in small-scale restaurants by analyzinglow-rated (1- to 3-star) online customer reviews. A totalof 664 low-rated reviews collected from four small-scale restaurants were analyzed using content analysis.Following Braun and Clarke's six-step procedure, opencoding was conducted to identify recurring meaningunits, which were subsequently grouped into higher-ordercategories and conceptualized into broader themes. Thefindings reveal that customer dissatisfaction clustersaround five main themes: service delivery and staffbehavior, food quality and product performance, pricingpractices and perceived value incongruity, operationalprocesses—waiting experience, physical environment andexperiential atmosphere.
Optimising Natural Frequencies of Functionally Graded Beams Via CPA and TWO Metaheuristic Algorithms
(Springer, 2026) Kanoua, Majed; Noori, Ahmad Reshad; Albayati, Marwan Abdulkareem Shakir
This research aims to optimise the lowest natural frequencies of functionally graded beams using the power-law distribution under classical boundary conditions (simply supported, clamped–clamped, and clamped–free) through material gradation across the beam thickness. To include the effect of mechanical properties gradient, the classical Euler–Bernoulli beam theory is expanded, which leads to a local change in mass density and stiffness modulus. The solution is achieved using two modern metaheuristic algorithms. This study investigates the application of metaheuristic algorithms for optimising the dynamic behaviour of functionally graded beams under classical boundary conditions. The two algorithms used are Tug of War optimisation algorithm (TWO), and Cyclical Parthenogenesis algorithm (CPA) to overcome the traditional constraints by using adaptive penalty functions to impose mass and manufacturability constraints, because the highly nonconvex and nonlinear design space. The results show that the CPA algorithm provides high-quality solutions by achieving rapid convergence, making it suitable for time- and mass-sensitive designs. The TWO algorithm, on the other hand, offer greater improvement in natural frequency of up to 25%, but with a longer processing time therefore it is suitable when vibration efficiency is a priority. This research highlights the potential of intelligent algorithms in the design of high-performance composite beams and contributes to laying the foundation for future expansion of the study to 3D panels and shells using 3D printing.
Understanding the Imposter Phenomenon Through a Gender Equality Lens: A Systematic Literature Review on Women Employees in the Workplace
(Springer, 2026) Yüceol, Nazlı
This systematic literature review examines the imposter phenomenon among women employees through a feminist organizational perspective, reconceptualizing impostorism not as an individual confidence deficit but as an internalized manifestation of gendered organizational inequality. The imposter phenomenon, first introduced by Clance and Imes (1978), describes the internalized belief that one’s achievements result from external factors such as luck rather than competence, leading to persistent self-doubt and distorted self-perception (Rampersad et al., 2025). While the evidence included in this review indicates that women more frequently report impostor feelings than men prior reviews have largely treated this difference as a psychological tendency, with limited attention to its structural, organizational, and cultural determinants (e.g., Bravata et al., 2020; Liu et al., 2022; Parkman, 2016). The review was conducted in accordance with PRISMA 2020 guidelines. Data were collected from the Web of Science and Scopus databases using the keywords “imposter phenomenon,” “impostor syndrome,” and their variants. Inclusion criteria were: research articles in English indexed in SSCI, SCI-Expanded, or ESCI; addressing Sustainable Development Goal 5 (Gender Equality); and available as open access. Studies involving only student samples, non-English or non–open-access papers, and unrelated reviews were excluded. A total of 26 articles met the criteria. Quality appraisal was conducted using criteria adapted from the JBI Checklist and the Newcastle–Ottawa Scale. Following thematic synthesis, four overarching themes were identified: (1) Antecedents individual, organizational, and sociocultural factors (e.g., perfectionism, bias, non-inclusive leadership) underlying impostorism; (2) Consequences psychological and career-related outcomes such as burnout, anxiety, and restricted advancement; (3) Coping Strategies and Interventions mentoring, peer support, and gender-sensitive leadership practices as protective mechanisms; and (4) Intersectional and Cultural Contexts the influence of cultural norms and intersecting identities on women’s impostor experiences. The primary contribution of this review is threefold, it reconceptualizes impostorism as an institutionally produced experience shaped by gendered organizational structures rather than individual vulnerability; it maps the phenomenon’s antecedents, consequences, coping mechanisms, and intersectional dimensions within a unified thematic framework; and it identifies systematic gaps in the reviewed studies including the near-exclusive concentration on healthcare settings, the underexamination of structural antecedents, and the dominance of Western, individualistic research contexts that constrain the field’s generalizability and theoretical ambition. Future research should expand to diverse professional and geographical contexts using longitudinal, intersectional, and mixed-method designs.
Timing-Aware Container-Throughput Forecasting Under İnformation and Uncertainty Constraints
(Elsevier B.V., 2026) Safaei, Mehdi
Monthly container throughput in Türkiye is examined for one- and three-month forecast horizons using 172 observations from 2012M01 to 2026M04 and an expanding-window evaluation. For the national series, Ridge regularization is selected inside each outer training window, while component comparisons keep the Ridge penalty fixed across origins. Because the h= 1 forecast origin follows publication of the previous month’s UAB statistics, it occurs after the target month has begun and is therefore interpreted operationally as a current-month nowcast rather than a forecast issued before the target month. Among the national specifications, the level-target operational-history Ridge gives the lowest forecast error. Compared with seasonal naive, mean MAE is lower by 31.2% at h= 1 and 27.0% at h= 3. These gains fall to about 20% after excluding February–March 2024, and the Harvey–Leybourne–Newbold-corrected tests do not reach the 5% level. Calendar-lagged trade does not lower national MAE. At h= 1, MAE is 1.9% higher even though the Clark–West test is significant (p = 0.027). At h= 3, MAE is 11.1% higher and p = 0.845. None of the 28 component-level lagged-trade additions is FDR-supported. In the retrospective same-period experiment, contemporaneous trade lowers loading-total MAE by 6.0% (p = 0.004; q = 0.027), but these values are unavailable at the forecast origin. For seasonal-log-difference targets, only Elastic Net improves on seasonal naive at both horizons, while all transformed-target models remain less accurate than the level-target Ridge. Sequential conformal prediction gives 82.1% coverage at h= 1 and 89.3% at h= 3 for the 80% nominal level.