5916 research outputs found
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Introduction of Bremen 1827 to the Turkish beer market
No full textIn the summer of 2022, Nilüfer Reisoǧlu, the Vice President responsible for marketing at Türk Tuborg, was confronted with the imperative of formulating a response strategy to counter a competitive launch by rival company Anadolu Efes. Anadolu Efes found itself on the precipice of losing its coveted market leadership position, a status that had long been a source of pride for the publicly traded multinational enterprise, which operated across six countries. In a last-ditch effort to sustain its market share leadership, Anadolu Efes introduced Bremen 1827 to the market, complete with a compelling 30% price reduction and a carefully cultivated high-quality image. The initial market responses had been decidedly favorable. This case study delves into the spectrum of response alternatives deliberated upon by Türk Tuborg, primarily recognized as a premium beer manufacturer with a portfolio of high-margin products adorning the shelves in Türkiye. Faced with the pressures of inflation, the company contemplates several strategic options. One avenue involves the potential introduction of a lower-priced flanker brand to counter the encroachment of Bremen 1827, a move that carries inherent risks to Tuborg's premium positioning. Alternatively, the company might contemplate reducing prices on its premium brands. As a final option, the company might opt to maintain the status quo and adopt a "wait-and-see"approach to gauge market developments
Assessment of firm capacity in hybrid systems: A Dubai case study on ess sizing
No full textAiming for carbon-free power systems for future grids has challenges in providing the necessary firm capacity from a power engineering perspective. During capacity planning studies, the variability of renewables can lead to periods of zero firmness, necessitating nonrenewable generation technologies to be added to the candidate list to ensure firmness. However, hybrid systems can provide limited firmness and lower the need for nonrenewable resources. This paper investigates the temporal firmness of the various sizes of energy storage systems combined with a 1MWp photovoltaic system. Using real-Time data from a site in Dubai, the framework simulates system performance hourly and monthly over an entire year. The analysis reveals that hybrid system firmness is affected by seasonal variations in PV output and is highly sensitive to the storage capacity. The study further demonstrates how different storage capacities affect the system's ability to maintain firm capacity. © 2025 IEEE
Beyond the ban: Explaining how Turkey reduced diversion and illicit poppy cultivation after 1974
No full textA central tenet of the drug control literature is that the prohibition of drug crops (opium poppy, coca, cannabis) generates a "prohibition premium" that strengthens illicit supply chains and provides a lucrative alternative to legal agriculture. This paper complicates this view by examining a puzzling counter-case: Turkey's transition to a fully licit opiates fully licit supply chain. Analyzing the post-1974 control regime, I argue that two interventions were critical: the switch to poppy straw process, and the Grain Board's (TMO) price stabilization policies. While the former removed opium from the supply chain and thus minimized opportunities for diversion at the farm level, latter provided stability for smallholders amidst the fluctuations generated by liberalization of the economy. The case thus demonstrates that states can successfully manage a licit opiate supply chain with minimal diversions and illicit cultivation by removing opportunities and stabilizing agrarian livelihoods through public interventions
Multi-context real estate market prediction
No full textThis study investigated the effect of multi-context data on short-term real estate market forecasting. Historical real estate transactions, satellite imagery, news sentiment scores, and economic indicators were integrated to predict changes in price and transaction volume. Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Multilayer Perceptron (MLP) models were compared both against each other and a linear baseline model. The experimental results demonstrate that utilizing multi-context data substantially enhances the accuracy in predicting transaction volume classes, while forecasting price changes remains more challenging. Additionally, classifying directional changes in terms of increases or decreases in price or volume yielded superior performance compared to regression-based predictions. These findings highlight the significant potential of incorporating multi-contextual data and artificial neural network architectures in real estate market forecasting, compared to conventional methodologies
Computational persuasion technologies, explainability, and ethical-legal implications: A systematic literature review
No full textThis paper conducts a systematic literature review (SLR) to evaluate the effectiveness of computational persuasion technology (CPT) in the eHealth domain. Over the past fifteen years, CPT has been used in various scenarios, from promoting healthy diets to supporting chronic disease management. Despite the proliferation of intelligent systems and Web-based applications, the ethical and legal nuances of these technologies have become increasingly significant. The review follows a structured methodology, assessing 92 primary studies through sixteen research questions covering demographics, application scenarios, user requirements, objectives, functionalities, technologies, advantages, limitations, proposed solutions, ethical and legal implications, and the role of explainable AI (XAI). The findings indicate that while CPT holds promise in inducing behavioral change, many prototypes remain untested on a large scale (60% of surveyed studies only developed at a conceptual level), and long-term effectiveness is still uncertain (36% report attaining their goals, but none focuses on long-term assessment). The study highlights the need for more comparative analyses of persuasion models and tailored approaches to meet diverse user needs. Ethical and legal concerns, such as patient consent, data privacy, and potential for users' manipulation, are under-explored and require deeper investigation. The paper recommends a bottom-up regulatory approach to create more effective and flexible ethical and legal guidelines for CPT applications. In conclusion, significant advancements have been made in CPT for eHealth, but ongoing research is essential to address current limitations, enhance user acceptability and adherence, and ensure ethical and legal soundness
Collection model development to predict which customers will pay
No full textThis article addresses the challenges faced by banks in managing non-performing loans (NPLs) and optimizing collection strategies for delinquent customers. The study presents a systematic approach to optimize collection strategies, aiming to maximize the total probability of payment before litigation for each customer while minimizing the risk of customer churn. The study proposes the development of a collection scorecard framework to predict the effectiveness of various collection actions and their potential impact on customer churn. Using logistic regression models, the authors analyze historical data to identify key predictors of payment probability, incorporating action severity and capacity constraints into the modeling process. Future research directions include the development of a churn scorecard and validation of the proposed approach across different banking environments. © 2025 IEEE.TÜBİTA
Shared group memberships mitigate intergroup bias in cooperation
No full textResearch on cooperation between groups tends to consider a single social identity at a time. However, individuals naturally share group membership in one social category (e.g., religious belief) while diverging in membership to others (e.g., political ideology). Here, we test the effects of mixed-group membership on actual cooperative behavior relative to completely sharing (in-group) and completely diverging (out-group) group memberships. In three high-powered, preregistered, and incentivized experiments, we found evidence for our hypotheses that cooperation increases with the number of shared memberships in arbitrary (Experiment 1, N = 292) as well as naturally existing social categories such as political orientation and ethnicity (Experiment 2, N = 501) or political orientation and religious affiliation (Experiment 3, N = 292).Universität zu Köl
Influence of water properties on the physicochemical and sensorial parameters of water kefir
No full textBesides its natural carbonation, low sugar taste, and being vegan, water kefir is consumed due to its health benefits. Water is the major component of a beverage therefore its properties should be considered. Sensorial characteristics of water are affected by its mineral composition. Hence, in this study four different types of water were used to produce water kefir, and effects on total soluble solids (TSS) (%), pH and color during 72-hour fermentation were investigated. TSS (%) increased and pH decreased after fermentation. Carbon dioxide produced varied between 0.097 g to 0.167 g. Water kefir prepared with water having 163.00 mg/L calcium, 91.50 mg/L magnesium, 1.61 mg/L potassium, 107.70 mg/L sodium, total dissolved solids of 1181.33 ± 1.155 ppm, and pH of 5.68 ± 0.125 had the highest scores of smell, mouthfeel, taste, carbonation and preference parameters. L*, a*, and b* of the sample with the highest sensory score were 15.35 ± 0.142, −0.68 ± 0.098, and −4.84 ± 0.121, respectively
UAV marketplace simulation tool for BVLOS operations
No full textWe present a simulation tool for evaluating team formation in autonomous multi-UAV (Unmanned Aerial Vehicle) missions that operate Beyond Visual Line of Sight (BVLOS). The tool models UAV collaboration and mission execution in dynamic and adversarial conditions, where Byzantine UAVs attempt to disrupt operations. Our tool allows researchers to integrate and compare various team formation strategies in a controlled environment with configurable mission parameters and adversarial behaviors. The log of each simulation run is stored in a structured way along with performance metrics so that statistical analysis could be done straightforwardly. The tool is versatile for testing and improving UAV coordination strategies in real-world applications
Improving the 3D printability of high-volume fly ash mixtures through addition of mineral admixtures
No full textRecent 3D concrete printing technology advancements have rapidly progressed in the construction industry. To meet the layer-by-layer stacking requirements, there is a need to develop high-performance cement-based composites compatible with 3D printers. Using fly ash as a substitute for cement reduces the environmental impact of 3D-printed traditional concrete mixes involving ordinary Portland cement (OPC). This study aims to determine the feasibility of adapting high-volume fly ash (HVFA) mortar to 3D printing by modifying the rheology of the mix with mineral additives. Three different additives were used to achieve this goal: sepiolite, slaked lime, and unslaked lime. The mix design includes 70% fly ash by weight and 5% slaked or unslaked lime by the weight of the binder. Additionally, 0.3% of the binder weight of sepiolite was added as a rheological modifier. Rheological parameters were assessed, including time-dependent evolution of yield stress, viscosity, thixotropy, and structural build-up with resting time. A preliminary printability and shape retention assessment of printed samples was conducted using a lab-scale robotic arm with a pipe as an extruder. Experimental results indicated that adding either slaked or sepiolite increased the static yield stress, dynamic yield stress, and thixotropy. The results show that the rheology of HVFA can be improved by using lime and sepiolite, and the quaternary mix design can be an alternative sustainable solution in the 3D printing of building materials.Science Academy Young Scientist Awards Program (BAGEP