Scopus İndeksli Yayınlar Koleksiyonu

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Analyzing Cost Efficiency and Project Scope in Post-Disaster Housing: Reconstruction Cases of Toki in Türkiye
(MDPI, 2025) Geylani, Ozlem
The Mass Housing Administration of T & uuml;rkiye (TOKI) operates as the primary public organization responsible for delivering extensive affordable housing throughout T & uuml;rkiye while ensuring disaster resilience. The recent decades of earthquakes and environmental hazards in T & uuml;rkiye have necessitated extensive post-disaster reconstruction initiatives nationwide. In response, TOKI has completed numerous disaster housing projects across the country through an integrated infrastructure framework supporting community recovery. This study presents an extensive statistical evaluation of 664 disaster housing projects constructed by TOKI across 40 provinces. Specifically, a quantitative analysis is conducted on 434 disaster housing projects for which detailed financial data are available. This research examines differences in construction costs between urban mass housing developments and rural village settlements, particularly focusing on the integration of functional structures such as schools, mosques, commercial units, and barns. Although mass housing projects require significantly larger total budgets due to their extensive scale, statistical analysis reveals no significant difference in per-unit construction costs between mass housing and village housing projects. Regression analysis indicates that incorporating barns increased per-unit construction costs, while the presence of schools and mosques significantly decreases these expenses. The findings of this research provide critical insights into the economic and functional factors influencing disaster housing reconstruction in T & uuml;rkiye and offer practical recommendations for improved planning, resource management, and community reconstruction based on an evaluation of functional structures.
Applying Entropy Weighting and 2-Tuple Linguistic T-Spherical Fuzzy MCDM: A Case Study of Developing a Strategic Sustainability Plan for Istanbul Airport
(MDPI, 2024) Mizrak, Filiz; Polat, Levent; Tasar, Sezin Acik
This study presents a novel sustainability plan tailored for Istanbul Airport, leveraging advanced decision-making methodologies to address the urgent need for sustainable practices in aviation. By integrating the entropy weighting and 2-tuple linguistic T-spherical fuzzy multi-criteria decision-making (MCDM) models, the study offers a comprehensive approach to evaluating and prioritizing sustainability criteria based on expert input from 12 professionals. The novelty of this research lies in its unique combination of advanced MCDM techniques with cutting-edge technologies, including IoT-enabled monitoring systems, digital twin models, blockchain-based sustainability reporting, and carbon capture initiatives, tailored specifically for large-scale airport operations. The study develops a phased implementation roadmap comprising three stages: (1) a short-term focus on energy efficiency and renewable energy infrastructure, achieving significant cost reductions within a 3-7.5-year payback period; (2) medium-term initiatives integrating IoT and digital twins to enhance operational efficiency; and (3) long-term measures incorporating carbon capture and blockchain for transparency and compliance. Key implementation steps include upgrading energy systems, deploying IoT sensors, creating digital replicas of airport infrastructure, and establishing regulatory and stakeholder collaboration frameworks. This research contributes a replicable framework for airports worldwide, bridging theoretical models with actionable solutions.
Beyond the Silicon Valley of the East: Exploring Portfolio Diversification with India and Mint Economies
(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Ozdurak, C.; Hekim, D.
In the past few decades, India’s tech industry has boomed, making it a leader in the digital world. Today, India has many big tech companies, well-trained software developers, and cutting-edge technology like AI and cloud computing. This success shows India’s innovative spirit and makes the country a good example for other developing nations. However, global portfolio managers often overlook potential diversification opportunities beyond India’s dynamic stock market. This study investigates the viability of MINT (Mexico, Indonesia, Nigeria, and Turkey) as diversification targets, specifically analyzing spillover effects and volatility dynamics between their stock markets and that of India. Leveraging vector autoregressions (VARs) and dynamic conditional correlation (DCC)–GARCH models, we uncover intricate relationships. Further, DCC–GARCH analysis reveals varying degrees of volatility spillover, offering valuable insights for risk management. Our findings suggest that MINT economies, particularly Mexico and Turkey, hold promise for Indian portfolio diversification. By strategically incorporating these markets, investors can potentially mitigate India-specific risks and enhance portfolio returns. We urge global portfolio managers to consider Turkey as a viable diversification avenue, acknowledging the nuanced market growth dynamics highlighted in this study. © 2024 by the authors.
Binary Particle Swarm Optimization as a Detection Tool for Influential Subsets in Linear Regression
(Taylor & Francis Ltd, 2021) Deliorman, G.; Inan, D.
An influential observation is any point that has a huge effect on the coefficients of a regression line fitting the data. The presence of such observations in the data set reduces the sensitivity and validity of the statistical analysis. In the literature there are many methods used for identifying influential observations. However, many of those methods are highly influenced by masking and swamping effects and require distributional assumptions. Especially in the presence of influential subsets most of these methods are insufficient to detect these observations. This study aims to develop a new diagnostic tool for identifying influential observations using the meta-heuristic binary particle swarm optimization algorithm. This proposed approach does not require any distributional assumptions and also not affected by masking and swamping effects as the known methods. The performance of the proposed method is analyzed via simulations and real data set applications.
Can Commercial Buildings Cope with Australian Bushfires? An IAQ Analysis
(Ubiquity Press Ltd, 2021) Brambilla, Arianna; Candido, Christhina; Sangiorgio, Marco filippo; Gocer, Ozgur; Gocer, Kenan
The Australian 2019/20 summer witnessed an extraordinary bushfire season characterised by unprecedented duration, geographical reach and impact. The aftermath of the bushfires includes increased health-related implications on people due to short and long exposure to poor air quality. The current advice from the Australian authorities in such events is to remain indoors, as it was assumed indoor air quality (IAQ) is healthy. This paper examined that assumption and presents the case study of an office building in Canberra subjected to the 2019/20 bushfires, responding to the need of understanding the ability of air-conditioning buildings to cope with such unprecedented and extreme weather events. Measured data for indoor concentration of CO2, PM10 and PM2.5 recorded a prolonged period of concerning levels, as well as extreme concentration peaks. This poses a significant risk to the occupants' health. The values showed peaks up to 12 times higher for PM10 and 24 times higher for PM2.5 than the recommended critical thresholds. The infiltration factor and protection performance analysis suggest that old filtering systems and low airtightness levels are not optimal in protecting the indoor environment from outdoor air pollutants.
Cd Dopant Effect on Structural and Optoelectronic Properties of TiO2 Solar Detectors
(Springer, 2021) Ilhan, Mustafa; Koc, Mumin Mehmet; Coskun, Burhan; Erkovan, Mustafa; Yakuphanoglu, Fahrettin
Al/n-Si/Ti1-xO2CdxO/Al photodiodes were produced using sol-gel and spin coating methods where CdO dopant was applied on different concentrations (x = 0.0; x = 0.01; x = 0.05; x = 0.10). Cd dopant effect upon structural, optical, photodiode and electrical properties was assessed. Scanning electron microscope and energy-dispersive spectra were used in the structural investigation. Optic properties were assessed using UV-Vis spectroscopy and bandgap energies of the photodiodes were calculated which were found to be between 3.25 and 3.36 eV. Increased bandgap energy was observed with increased CdO doping rate. Photodiode properties were assessed under varying daylight illuminations. Barrier height, ideality factor, dark current, linear dynamic rate, photosensitivity, photoresponsivity of the photodiodes were calculated. Electrical properties of the Al/n-Si/Ti1-xO2CdxO/Al photodiodes were calculated where conductance-voltage and capacitance-voltage plots were obtained. Corrective conductance-voltage and corrective capacitance-voltage graphs confirm that the electrical properties of the photodiodes depend on AC signal frequency. Frequency-dependent electrical characteristics were attributed to the density of interface states which were found to be between 10(11) and 10(12). Decreased density of interface state was found for increased AC signal frequency.
Changes in Anthocyanin Pigments, Trans-Resveratrol, and Colorimetric Characteristics of Fondillón Wine and Other “Monastrell” Wines During the Aging Period
(Springer Science and Business Media Deutschland GmbH, 2023) Uysal, R.S.; Issa-Issa, H.; Esther, E.; Carbonell-Barrachina, A.A.
The studied red wines, which are Fondillón, reserva, crianza, and young, are prepared from exclusive “Monastrell” grapes, and protected under the Alicante Denomination of Origin (Alicante, Spain). The objectives of the present study were (i) to show the effect of aging period on the amount of anthocyanin pigments, trans-resveratrol, and the colorimetric characteristics (color intensity, color density, and tonality) of Fondillón and other Monastrell wines (young, crianza, and reserva) which have different aging periods, and (ii) to propose a new traceability method for the determination of the Fondillón originality. Identification of anthocyanin compounds and determination of trans-resveratrol content were performed using LC–MS/MS. Correlation analysis was performed among anthocyanin compounds and color parameters. A sharp decrease in the anthocyanins content was observed in Fondillón wine. Besides, statistically significant changes were found in all colorimetric parameters between young and Fondillón samples. A significant change from red hue to brick red/yellow hue was observed between the colors of young and Fondillón wines, respectively. A significant decrease in the content of trans-resveratrol was also observed as a result of the aging period of these “Monastrell” wines. In this study, anthocyanin compounds of Fondillón wine were identified for the first time and their effects on the colorimetric parameters of the wine were revealed. Consequently, the authenticity of Fondillón wines can be determined by monitoring of anthocyanin compounds and trans-resveratrol. © 2023, The Author(s).
Cognitive Behavioral Therapy for Muscle Dysmorphia and Anabolic Steroid-Related Psychopathology: A Randomized Controlled Trial
(MDPI, 2025) Cinaroglu, Metin; Yilmazer, Eda; Ulker, Selami Varol; Sayar, Gokben Hizli
Background/Objectives: Muscle dysmorphia (MD), a subtype of body dysmorphic disorder, is prevalent among males who engage in the non-medical use of anabolic-androgenic steroids (AASs) and performance-enhancing drugs (PEDs). These individuals often experience severe psychopathology, including mood instability, compulsivity, and a distorted body image. Despite its clinical severity, no randomized controlled trials (RCTs) have evaluated structured psychological treatments in this subgroup. This study aimed to assess the efficacy of a manualized cognitive behavioral therapy (CBT) protocol in reducing MD symptoms and associated psychological distress among male steroid users. Results: Participants in the CBT group showed significant reductions in MD symptoms from the baseline to post-treatment (MDDI: p < 0.001, d = 1.12), with gains sustained at follow-up. Large effect sizes were also observed in secondary outcomes including depressive symptoms (PHQ-9: d = 0.98), psychological distress (K10: d = 0.93), disordered eating (EDE-Q: d = 0.74), and exercise addiction (EAI: d = 1.07). No significant changes were observed in the control group. Significant group x time interactions were found for all outcomes (all p < 0.01), indicating CBT's specific efficacy. Discussion: This study provides the first RCT evidence that CBT significantly reduces both core MD symptoms and steroid-related psychopathology in men engaged in AAS/PED misuse. Improvements extended to mood, body image perception, and compulsive exercise behaviors. These findings support CBT's transdiagnostic applicability in addressing both the cognitive-behavioral and affective dimensions of MD. Materials and Methods: In this parallel-group, open-label RCT, 59 male gym-goers with DSM-5-TR diagnoses of MD and a history of AAS/PED use were randomized to either a 12-week CBT intervention (n = 30) or a waitlist control group (n = 29). CBT sessions were delivered weekly online and targeted distorted muscularity beliefs, compulsive behaviors, and emotional dysregulation. Primary and secondary outcomes-Muscle Dysmorphic Disorder Inventory (MDDI), PHQ-9, K10, EDE-Q, EAI, and BIG-were assessed at the baseline, post-treatment, and 3-month follow-up. A repeated-measures ANOVA and paired t-tests were used to analyze time x group interactions. Conclusions: CBT offers an effective, scalable intervention for individuals with muscle dysmorphia complicated by anabolic steroid use. It promotes broad psychological improvement and may serve as a first-line treatment option in high-risk male fitness populations. Future studies should examine long-term outcomes and investigate implementation in diverse clinical and cultural contexts.
Comparing Cognitive Behavioral Therapy and Ericksonian Hypnotherapy for Subclinical Depression and Anxiety: A Randomized Controlled Trial
(Routledge Journals, Taylor & Francis Ltd, 2025) Cinaroglu, Metin; Yilmazer, Eda; Odabasi, Cemre; Ulker, Selami Varol; Sayar, Gokben Hizli
This randomized controlled trial examined the effectiveness of Cognitive Behavioral Therapy (CBT) and Ericksonian Hypnotherapy (EH) in reducing symptoms of depression and anxiety among individuals with subclinical levels of distress. A total of 150 participants were screened, and 45 eligible participants were randomized into three groups: CBT (n = 15), EH (n = 15), and a waitlist control group (n = 15). Interventions consisted of 12 weekly sessions, with assessments conducted at baseline, mid-intervention, and post-intervention using the Beck Depression Inventory-II (BDI-II) and Beck Anxiety Inventory (BAI). Both CBT and EH significantly reduced symptoms of depression and anxiety compared to the control group, with no significant differences in efficacy between the two interventions. CBT's structured approach demonstrated consistent improvements across both depression and anxiety, while EH showed a slightly faster reduction in anxiety symptoms at mid-intervention, highlighting its potential for addressing somatic and cognitive dimensions of anxiety. This study extends previous findings by focusing on a non-clinical population, emphasizing the potential of these interventions as early strategies for preventing symptom escalation. Unlike prior work primarily targeting diagnosed populations, this research underscores the applicability of CBT and EH in addressing subthreshold distress. Limitations include a small sample size, lack of follow-up assessments, and reliance on self-reported measures. Future research should explore long-term outcomes, larger samples, and the integration of CBT and EH. These findings contribute to the growing body of evidence supporting diverse psychotherapeutic modalities for early mental health intervention.
Comparison of Domino Transplantation with Two-Way Paired Exchange and Normal Transplantation: Acute Rejection, Surgical Complications, and 5-Year Survival Outcomes
(Springer, 2025) Huseynov, Amil; Cicek, Sevim Nuran Kuslu
Background Domino kidney paired donation and Two-Way Paired Exchange have emerged as vital strategies to expand the donor pool in renal transplantation, especially for patients facing ABO or HLA incompatibilities. Despite their potential benefits, concerns remain regarding immunological risks, infectious complications, and long-term graft survival. Methods In this retrospective cohort study conducted at Medicana Transplant Center, 980 adult kidney transplant recipients were categorized into three groups: Domino (n = 144), Two-Way Paired Exchange (n = 350), and Normal Transplant (n = 486). Baseline characteristics, acute rejection rates, and surgical or infectious complications were collected, alongside data on 1-year and 5-year patient and graft survival. Statistical analysis included Kaplan-Meier survival curves and Cox proportional hazards modeling for independent predictors of graft outcomes. Results The Domino group had the highest 1-year acute rejection rate (17.4%) compared to Two-Way Paired Exchange (4.3%) and Normal Transplant (3.7%), yet 1-year graft survival rates remained comparable (92%, 95%, and 96%, respectively; p = 0.271). Infectious complications were more frequent in the Domino group (25%) than in others (p < 0.01). Extended follow-up to 5 years indicated no statistically significant difference in overall graft or patient survival among the three groups (log-rank p = 0.197), despite a trend toward lower 5-year graft survival in the Domino group. Donor-specific antibodies and higher HLA mismatches independently predicted acute rejection. Conclusions Domino transplantation, while associated with higher immunologic challenges, achieves acceptable short-term and 5-year outcomes akin to Two-Way Paired Exchange and Normal Transplant. Careful immunosuppressive strategies, vigilant monitoring, and collaborative protocols are integral for optimizing long-term success in high-risk transplant scenarios.
Determining the Type of a Solution to the Fully Pythagorean Fuzzy Linear Equations System: Exact, Restricted, or Relaxed Approximate Solution
(Springer Nature, 2025) Temelcan, G.T.
In engineering and social research, linear systems are commonly used to address real-life problems of various dimensions. Therefore, many studies start by developing linear systems and then finding their solutions. Recent studies have demonstrated the effectiveness of Pythagorean fuzzy sets in capturing and representing complex forms of uncertainty, particularly when understanding the distinctions between membership and non-membership is crucial. This paper pioneers the finding a solution for a general (square or nonsquare) Fully Pythagorean Fuzzy Linear Equations System (FPFLES) with arbitrary triangular Pythagorean fuzzy numbers and fills a critical gap in the existing literature. Since an FPFLES consists of the sum of the multiplications of each arbitrary parameter and variable, and the fuzzy multiplication operation includes the min and max operators, a nonlinearity situation is observed in each equation. To overcome this situation, a transformation from fuzzy multiplication to inequalities is applied, and thus, a mixed integer programming (MIP) problem is formed. Depending on whether the MIP problems created by changing the constraints have an optimal solution, FPFLES has an exact solution or an approximate solution. The types of solutions are examined using a distance measure definition available in the literature. This paper also defines restricted and relaxed approximate solutions for FPFLES by determining whether the left-hand sides obtained from the substitution of solutions are completely covered by the right-hand sides of the equations. The approach is illustrated with some numerical examples, and the numerical results are analyzed within the distance measure to determine the closeness between the left-hand and right-hand sides of the system. © The Author(s) 2025.
Developing a Strategic Framework for Airline Destination Selection: A Multi-Criteria Decision-Making Approach Applied To Turkish Airlines
(Elsevier, 2025) Mizrak, Filiz; Mizrak, Kagan Cenk; Akkartal, Gonca Reyhan
The purpose of this study is to develop a comprehensive decision-making framework that airlines can use to strategically select new destinations, demonstrated here with a case application for Turkish Airlines. Addressing the complexities of route expansion, the study integrates the Entropy weighting method with the 2-Tuple Linguistic T-Spherical Fuzzy Decision by Opinion Score Method (2TLTS-FDOSM) to evaluate potential destinations across critical criteria, including market demand, economic impact, and regulatory environment. Data were collected from industry reports, expert evaluations, and publicly available aviation metrics to support a thorough and adaptable analysis. Findings from the Turkish Airlines case reveal San Antonio, TX (SAT), Portland, OR (PDX), and Nashville, TN (BNA) as top-ranked destinations, each offering distinct economic and operational benefits. This study contributes to aviation management literature by presenting a versatile, data-driven framework that can guide route selection for carriers in competitive markets. The framework's ability to balance quantitative and qualitative insights underscores its potential for broader application in network planning, promoting sustainable growth within the aviation industry.
Differences in Occupants' Satisfaction and Perceived Productivity in High- and Low-Performance Offices
(MDPI, 2019) Gocer, Ozgur; Candido, Christhina; Thomas, Leena; Gocer, Kenan
This paper reports the results from a dataset comprising 9794 post-occupancy evaluation (POE) surveys from 77 Australian open-plan offices. This paper specifically focuses on a sub-set of 20 offices (n = 2133), identified from ranking 10 offices each, with the least (n = 1063) and highest (n = 1070) satisfaction scores, respectively. The satisfaction scores were evaluated on the basis of seven factors (i.e., building/office aesthetics and quality, thermal comfort and indoor air quality, noise distraction and privacy, personal control, connection to outdoor environment, maintenance and visual comfort, and individual space). Using the POE survey data from 20 offices, regression analyses and two-way ANOVA tests were carried out to understand the differences in occupants' satisfaction and perceived productivity arising from open-plan offices. According to the statistically significant regression analyses results, it was identified that building/office aesthetics and quality (beta = 0.55, p < 0.001) and noise distraction and privacy (beta = 0.33, p < 0.001) were the two strongest predictors contributing perceived productivity in low-performance offices. Two-way ANOVA test results for the 10 high-performance offices indicate that the perceived productivity was strongly associated with the office's physical configuration, the employees' working experience, and the working hours at that office.
Effect of Heat Treatment on Magnetic Properties of Nanocomposite Nd-Lean Nd7Fe73b20 Ribbons
(Springer, 2021) Caglar, Seyit; Kilicaslan, M. Fatih; Atasoy, Ahmet; Tiryaki, Hasan; Erkovan, Mustafa; Hong, Soon-jik
In this work, we explored the effect of heat treatment on high boron and Nd-lean content magnetic Nd7Fe73B20 nanocomposite materials via vibration sample magnetometer (VSM), X-ray diffraction, differential thermal analysis (DTA), and scanning electron microscope (SEM). The Scherer formula was employed to estimate the effect in the crystal size of the heat treatment on high boron and Nd-lean content magnetic Nd7Fe73B20 nanocomposite materials. We heat-treated samples in different conditions to obtain optimum magnetic properties. Our high-throughput fabrication strategy allows us to elucidate the possibility of obtaining Nd-lean nanocomposite NdFeB magnet in terms of the melt-spinning. We evaluated the influence of heat treatment on the Nd-lean NdFeB/alpha-Fe nanocomposite magnets produced by melt-spinning. Here, in the heat-treated ribbon at 750 degrees C for 30 min, we obtained a combination of coercivity of 450 Oe, a high-saturation magnetization of 232 emu/g in the heat-treated ribbon at 650 degrees C for 30 min, which surpasses most traditional nanocrystalline magnets based on Fe-Co and pricey. The results we present here are expected to serve as a guideline for designing new magnets for industrial applications.
Effect of Multi-Artery Renal Grafts on Patient Outcomes in Living Donor Kidney Transplantation
(Springer, 2025) Huseynov, Amil; Sengul, Halil
BackgroundMultiple renal arteries (MRA) in a donor kidney can increase surgical complexity in living donor kidney transplantation. However, the impact of MRA on early transplant outcomes, including delayed graft function (DGF) and early graft failure, remains unclear.MethodsWe performed a single-center retrospective cohort study of 1,200 living donor kidney transplants conducted between 2019 and 2024. Donor kidneys were classified as having a single renal artery or multiple renal arteries (two or more). Recipient and donor characteristics, intraoperative details (ischemia times, vascular anastomosis technique), and postoperative outcomes (delayed graft function [DGF], primary nonfunction, and graft survival) were compared between the two groups. Logistic regression analyses were used to examine associations between MRA and the risk of DGF or graft failure within the first 90 days, both before and after adjusting for prespecified covariates.ResultsOf the 1,200 transplanted kidneys, 882 (73.5%) had a single artery and 318 (26.5%) had multiple arteries. Although the median cold-ischemia time was longer for multi-artery grafts (35.2 min vs. 29.4 min, p = 0.004), there were no significant differences in donor or recipient baseline characteristics. Multivariable logistic regression revealed no significant association between MRA and either DGF or early graft loss. Kaplan-Meier curves, censored for death, demonstrated similar graft survival in both groups (log-rank p = 0.25).ConclusionsIn this single-center cohort of living donor kidney transplants, grafts with multiple renal arteries did not exhibit an elevated risk of DGF or early graft loss. While additional surgical complexity is often required for MRA grafts, our findings suggest that these kidneys remain a safe and effective option for transplantation, supporting their broader use to expand the donor pool.
Effects of Ericksonian Hypnotherapy Versus Cognitive Behavioral Therapy on Prolonged Grief Among University Students: A Randomized Clinical Trial
(Routledge Journals, Taylor & Francis Ltd, 2025) Cinaroglu, Metin; Yilmazer, Eda; Ulker, Selami Varol; Cinar, Fadime
This study evaluates the comparative effectiveness of Ericksonian Hypnotherapy (EH) and Cognitive Behavioral Therapy (CBT) in addressing prolonged grief among university students in Istanbul. Transitioning through critical developmental phases, 39 students who had experienced significant loss and demonstrated symptoms of prolonged grief participated in this randomized controlled trial. They were divided equally into three groups: those receiving EH, those undergoing CBT, and a control group placed on a waiting list. Assessments utilized the Prolonged Grief Scale and the Beck Depression Inventory to measure the interventions' impact on grief. Findings revealed significant improvements in both EH and CBT groups compared to the control, with EH showing marginally higher effectiveness in reducing grief symptoms. This research underlines EH's potential as a culturally adaptable and effective treatment for prolonged grief in a diverse academic setting, advocating for its broader application and further exploration across various populations.
The Effects of Transportation Modes on Campus Use: A Case Study of a Suburban Campus
(Elsevier Science Bv, 2019) Gocer, Ozgur; Gocer, Kenan
Employee Benefits Supporting Well-Being at the Intersection of Meaning and Cost: A Sustainability Perspective from Generation Z
(MDPI, 2026) Ilhan, Umit Deniz; Ozkilinc, Damla Nurcan
This study examines how employee benefit practices link employee well-being with financial sustainability in sustainable organization management. Focusing on Generation Z, it investigates the intersection between meaning attributed to employee benefits and managerial decision-making guided by financial rationality. Drawing on human resources management (HRM) and finance perspectives, employee benefits are conceptualized as mechanisms for balancing human-centered value creation and economic resilience. A qualitative design was used, based on semi-structured interviews with 15 Generation Z employees and 20 human resources (HR) and finance managers in T & uuml;rkiye. Data were analyzed through thematic analysis and the Gioia methodology to develop an inductive, multi-level framework. The findings indicate that Generation Z employees view employee benefits as psychosocial resources reflecting justice, autonomy, psychological safety, and value alignment-core components of subjective and eudaimonic well-being-while managers assess them primarily through financial sustainability logics such as cost control and return on investment. Overall, meaning- and cost-oriented perspectives emerge as mutually reinforcing within sustainable organizational systems. The study proposes the Meaning-Cost Balance (MCB) Framework, conceptualizing employee benefits as a strategic management mechanism aligning employee well-being with financial resilience. Positioned at the intersection of HRM and financial sustainability, the framework contributes to sustainable organization management and offers a transferable basis for future comparative research.
Ethical Leadership and Perceived Organizational Fairness: A Moderated Mediation Model of Moral Identity and Psychological Contract Breach
(Routledge Journals, Taylor & Francis Ltd, 2025) Aktas, Burak Nedim; Gunalan, Mustafa; Akcin, Kultigin; Erat, Serhat
This study identifies when and how ethical leadership is linked to employees' perceptions of organizational fairness. We propose and test a mechanism in which followers' moral identity explains this link, and the state of the psychological contract sets its boundaries, highlighting a novel, process-focused view of fairness formation. Using a cross-sectional survey of 306 white-collar employees in T & uuml;rkiye's industrial sector, we estimated a moderated-mediation model with partial least squares structural equation modeling and bootstrap inference. Results revealed that ethical leadership related to perceived organizational fairness indirectly through the symbolization (outward expression) facet of moral identity, whereas internalization (inward conviction) was unrelated. This indirect link emerged only when employees perceived that promised obligations were honored, indicating that psychological-contract fulfillment enables ethical signals to be read as fair. The findings clarify that visible moral behavior matters more than inward conviction for fairness judgments and that relational integrity is a precondition for leader influence. We discuss implications for theory and for building fair climates by making ethics visible and keeping promises.
Evaluating the Potential of Using EEG Based BCI Method in User Experience Research
(Springer Heidelberg, 2025) Sahin, Elif Bilge; Durdu, Pinar Onay
Evaluation of user experience (UX) is one of the important research topics in the field of Human Computer Interaction. The use of methods such as task analysis, observations, and surveys in UX evaluation assesses traditional usability components like efficiency and effectiveness. However, these methods are not sufficient to evaluate other components of UX such as users' feelings, perceptions, and beliefs about a product. Therefore, it is believed that the use of brain computer interface (BCI) based electroencephalography (EEG) method, alongside traditional methods, will provide more objective findings. Within the scope of this study, both traditional methods and the EEG method were implemented together. For this purpose, the UX evaluation of Udemy website, a massive open online course system, was conducted through a user study involving 13 voluntary participants. Data were collected using the Affect Grid Questionnaire, user experience questionnaire short Version, positive impact and negative impact scale and website analysis and measurement inventory to evaluate participants' UX. EEG data were also collected during the interaction using Emotiv Epoc device, a BCI technology, and attention and meditation data were analyzed. The findings indicated that traditional methods and the EEG method supported each other for many of the participants.

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