Air transportation has become a rapidly expanding and widely preferred mode of international and intercontinental travel. In line with this growth, aircraft manufacturers continuously strive to enhance both flight safety and comfort for passengers as well as flight crews. One of the most significant examples of these efforts is the side-stick controller employed in Airbus aircraft, which plays a vital role in improving flight safety and operational efficiency. The side-stick is a fundamental control device that facilitates the pilot’s handling of the aircraft. Pilot inputs made in the cockpit are transmitted via the side-stick and used as reference signals for the actuation of the flight control surfaces. These signals are then processed by the flight control computers, which determine the corresponding movements of the control surfaces. In this way, cockpit commands are converted into electrical signals, enabling precise aircraft control through the flight control system.

As a result of the continuous development of technology, autonomous control and stability of UAVs are of critical importance. Stability, which is a product of the flight performance of aircraft, has been the subject of intensive study and different methods have been put forward to improve it.The aim of this study is to investigate the importance of the change in the longitudinal stability response of an UAV with a morphing wing. The effect of a 1.25 meter wingspan unmanned aerial vehicle with two different dihedral angles on its longitudinal stability is investigated.Longitudinal stability derivative coefficients were obtained. With the stability derivatives obtained separately for nine different wing geometries, the state space model of the UAV was obtained.The resulting state-space model is controlled by a PID controller and the longitudinal stability response is analyzed. As a result, the variation of the return time of the UAV to the equilibrium position with respect to the dihedral angle is obtained.

Recently, Unmanned Aerial Vehicles (UAVs) and UAV Traffic Management (UTM) systems have gained attention, particularly for applications such as aerial mapping and agriculture. Due to the widespread use of applications and the increasing number of UAVs, air traffic poses a danger to the public and the inability to track UAVs causes a security vulnerability. The European U-Space concept and the Next GEN concept in the USA implement the Air corridor and UTM system for Tracking of UAVs and Commercial UAVs services. It is desired to use new generation communication infrastructures for UAVs to communicate with UTM uninterruptedly and safely. In this study, flights were conducted at the maximum legal altitude limit of 120 meters to test the usability of the UAV and UTM communication infrastructures of the Long-Term Evolution (LTE) communication infrastructures of Mobile Operators in Turkey. In the study, an LTE-supported UAV was connected to the Türk Telekom Corporation (Türk Telekomünikasyon A.Ş.) Mobile LTE network, log telemetry information was sent to the UTM server on the ground via the UAV from an altitude of 120 meters, and the connection quality of the Mobile Operator was determined. In addition, the signal quality and strength measured from the ground on the same route as the highway were compared with the signal quality and strength received by the UAV at an altitude of 120 meters. Successful results were achieved and it was proven that communication can be achieved using the Mobile Operator's LTE network even at the maximum legal UAV altitude limit.

The selection of materials for aerospace purposes requires rigorous mapping between design requirements and material properties, especially for critical safety components like aircraft brake disks. Traditional selection methods like Ashby charts or tabulated property databases often struggle with conflicting vague, fuzzy, or high-performance requirements. This study proposes an integrated approach combining the Theory of Inventive Problem Solving (TRIZ), Axiomatic Design (AD), and information modelling (IM) principles to map functional and non-functional product requirements to material properties systematically. TRIZ resolves contradictions between requirements, while Axiomatic Design deals with functional independence and traceability towards the design parameters. Information model enables structured traceability from high-level requirements to quantifiable material properties to support semantic consistency and cross-domain reasoning. The methodology is validated through a case study on aircraft brake discs, where carbon-carbon composite is identified as the most suitable material based on a quantitative Requirement-Material property (RMp) evaluation that prioritizes safety and thermal resilience over cost. The results highlight the potential of the proposed framework to support traceable, structured, and safety-driven decisions in complex engineering design. The integration of TRIZ, Axiomatic Design, and structured information modelling for traceable, safety-driven material selection is the core novelty of this work, and has not been previously formalized into a reusable framework for aerospace applications.

Intense competition, high costs, and elevated customer expectations characterise civil aviation passenger transportation. It is widely accepted that passenger satisfaction is one of the key achievements in gaining a competitive advantage in this industry. While various factors influence passenger satisfaction, the airline industry inherently requires intensive interaction and communication between cabin crew and passengers, as services are delivered on an individual basis. Cabin services, therefore, play a significant role in the emergence of this satisfaction.This study focuses on four dimensions of human interaction points during service delivery in the cabin: individual care, helpfulness, politeness, and promptness. The aim is to determine domestic passengers’ opinions regarding these variables. Additionally, the study aims to statistically determine the impact of each of these variables on passenger satisfaction and the effects of passenger satisfaction on perceived value and intention to recommend. To achieve these objectives, an online survey was conducted using a quantitative research method, and a convenience sampling technique provided access to 405 respondents’ answers. The collected data were coded and analysed using the SPSS software.The empirical findings obtained through statistical analysis emphasise the importance of airline companies focusing on human factors to enhance customer satisfaction. The research statistically confirms the positive effect of human interaction points such as individual attention, helpfulness, courtesy, and promptness by cabin crew members on passenger satisfaction, as well as the audience of passenger satisfaction on perceived value and intention to recommend. Despite the increasing interest in service quality in the airline industry, the effects of various aspects of human interaction on passenger satisfaction, perceived value, and recommendation intention have been limitedly examined. Therefore, this study aims to fill this gap by addressing the interpersonal interaction dynamics between cabin crew and passengers. Based on these findings, the study provides some assessments that can contribute to the literature and the aviation industry.

The objective of this study is to assess the environmental and economic sustainability of the European Union (EU) countries that have the highest air transportation density. In this particular case, the CRITIC-based MABAC approach is used as the analysis methodology. The study is conducted using the following criteria: total number of commercial passenger flights, total number of cargo and mail flights, percentage share of R&D expenditures in the state budget, innovation index, urbanization rate, gross domestic product, recycling amount per capita, and amount of carbon dioxide emissions from air transport measured in tons. CRITIC method is used to assign weights to the criteria, and it is found that the level of air transportation emissions (CO2) significantly influences the environmental and economic sustainability of countries. On the other hand, the least important criteria is the percentage of R&D expenditures in the state budget. Using the MABAC method, the ranking analysis revealed Sweden, Denmark, and Norway as the top three countries in terms of environmental and economic sustainability during the five years period from 2018 to 2022. In contrast, it is found that France, Ireland, and Germany are the bottom three countries in this regard.

As the global aviation sector faces increasing pressure to meet decarbonization targets, transitional economies like Türkiye—positioned between emerging and developed markets—must navigate the complex intersection of international environmental mandates, evolving technological capabilities, and domestic implementation challenges. This study investigates the strategic and operational dimensions of sustainable aviation in Türkiye through four key lenses: regulatory adaptation (RQ1), challenges in Sustainable Aviation Fuel (SAF) adoption (RQ2), the role of artificial intelligence (AI) in enhancing operational efficiency (RQ3), and the influence of Corporate Social Responsibility (CSR) and Environmental, Social, and Governance (ESG) practices (RQ4). Based on semi-structured interviews with 14 aviation experts and thematic analysis, the findings reveal that Türkiye’s carriers face regulatory asymmetries between ICAO’s CORSIA and the EU ETS, limited SAF infrastructure and incentives, fragmented digital systems for AI integration, and inconsistent CSR adoption. The study contributes to the literature by highlighting how sustainability frameworks are adapted within transitional economies, where global mandates must be reconciled with national capabilities. It also provides actionable policy and managerial implications for harmonizing environmental governance, scaling clean energy infrastructure, and fostering digital transformation in aviation. These insights offer value for both domestic policymakers and international stakeholders seeking to enable sustainable transitions in complex regulatory environments.

Organizational trust is the climate of trust that exists within an organization and can be defined as the positive expectations that organizational members have about the intentions and behaviour of individuals based on relationships and experiences. Institutionalization is defined as the process of transition from the initial structure of a newly established enterprise to the stage where it gains stability. However, institutionalization is defined as a process in which the enterprise gains value and stability through formative practices and increased internal capabilities. Institutionalization is a radical change process that brings change and eliminates routine activities. During this process, people may fear losing their jobs or being unable to succeed in their jobs due to changes and may become silent. Therefore, it is thought that the perceived level of institutionalization influences organizational trust. The population of this study consists of employees working in the civil aviation sector. In the civil aviation sector, there are enterprise such as airlines, ground handling services, catering services and representation services. The employees of these enterprises were tried to be reached via e-mail, WhatsApp groups and social media (linked in, Instagram, Facebook). Data were collected by sending a 5-point Likert-type questionnaire form to the participants. As a result of the analyses, it was determined that there is a significant relationship between perceived level of institutionalization and organizational trust. In addition, perceived level of institutionalization has a significant impact on organizational trust.

As global sustainability efforts gain momentum, large-scale enterprises across various industries increasingly disclose their environmental impacts, goals, and improvement initiatives through sustainability reports. The aviation industry, characterized by continuous growth in parallel with the global economy, plays a complex role in sustainability, contributing both positively and negatively across its dimensions. Understanding the performance of industry stakeholders in reducing environmental impacts is therefore of critical importance and serves as the main motivation for this study.This research aims to evaluate the environmental sustainability performance of key stakeholders in the aviation sector. An exploratory case study methodology was employed, analyzing the sustainability reports of selected aviation companies in Turkey for the years 2021 and 2022. Using descriptive analysis, data disclosed under environmental sustainability categories were examined on a company basis, summarized, converted into comparative tables, and evaluated across eight key indicators.The findings reveal that İGA achieved improvements in three out of eight indicators, TAV in five, Turkish Airlines (THY) in one, while Pegasus did not show any improvement in the indicators examined. Overall, the results indicate that the environmental performance of aviation stakeholders in Türkiye is insufficient in terms of reducing their environmental impacts.

The global number of passengers with disabilities (PWDs) has increased significantly, with passengers with reduced mobility (PRMs) rising at a rate far exceeding overall passenger growth. Yet, despite this growing demand, substantial barriers to accessible air travel persist, resulting in lower participation rates among passengers with disabilities compared to other traveler groups. Existing challenges include insufficient infrastructure, fragmented services, inconsistent implementation of accessibility measures, and limited awareness of available accommodations. Furthermore, inadequate staff training, communication gaps, and persistent risks associated with mobility equipment exacerbate these difficulties, while passengers with mental health conditions encounter additional complexities.This study aims to systematically examine the challenges faced by passengers with disabilities in air transportation through a thematic approach. By employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) model, the research analyzes recent developments and identifies persistent barriers within both airports and aircraft. The findings highlight the need for harmonized procedures across airlines and airports, comprehensive staff education, inclusive infrastructure, and the integration of assistive technologies. Additionally, the study emphasizes the importance of involving passengers with disabilities in policy development and decision-making processes. Finally, several targeted recommendations are presented for regulators, airlines, and designers to foster a more accessible, equitable, and inclusive air travel experience.

This study investigates the impact of environmental, social, and governance (ESG) practices on the financial performance of airlines, with profitability measured by return on assets (ROA). While the ESG–performance nexus has been widely explored in the finance literature, empirical evidence specific to the airline industry remains limited, despite the sector’s significant contribution to global emissions and its unique regulatory and competitive pressures. Drawing on stakeholder theory and the triple bottom line framework, the study examines whether ESG engagement serves as a strategic driver of financial outcomes alongside its social and environmental objectives.Using a panel dataset of European Union airlines covering an eleven-year period, the analysis employs Random-Effects estimators with cluster-robust standard errors, complemented by Feasible Generalized Least Squares (FGLS) estimation as a robustness check against heteroskedasticity and autocorrelation. Regression results, reported across four model specifications, reveal a consistently positive and statistically significant association between ESG performance and ROA. This relationship indicates that higher ESG scores enhance firm profitability. Disaggregated findings further demonstrate that each ESG sub-dimension—environmental (E), social (S), and governance (G)—exerts a positive and statistically significant effect on ROA, underscoring that diverse sustainability-related practices collectively strengthen financial outcomes.The study contributes to the literature by offering sector-specific evidence on the ESG–performance relationship in aviation. By integrating stakeholder and triple bottom line perspectives, it highlights that ESG practices are not merely compliance-oriented but represent a strategic pathway to profitability, competitive advantage, and long-term value creation.

The landing phase, one of the flight phases, is considered the most critical phase due to its significantly higher accident rate compared to other flight phases. A large portion of accidents occurring during the landing phase consists of hard landings. A hard landing is a landing incident defined as the main landing gear impacting the ground with a greater vertical speed and force than a normal landing. The severity of hard landings can vary from minor passenger discomfort to serious aircraft damage, structural failure, or even loss of life. In this study, the decision-making process regarding go-around maneuvers based on hard landing prediction is addressed using Machine Learning methods, specifically Logistic Regression and Random Forest models. Modeling was conducted using a dataset composed of real-time flight parameters, aiming to prevent hard landing incidents and even landing accidents. The calculation results indicate that the developed models provide accurate predictions for hard landing events.

Hot air balloons play a significant role in tourism in Türkiye. Despite offering a unique experience, they are also associated with a relatively high risk of accidents. According to the Turkish Ministry of Transport and Infrastructure (2024), hot air balloon accidents account for 36% of aviation incidents, highlighting the need for closer examination of these occurrences. Since human factors constitute the dominant contributory element in aviation accidents, it is crucial to analyze hot air balloon incidents from this perspective.This study examines two serious hot air balloon accidents in Türkiye that occurred between 2021 and 2024, focusing on the human factors involved. Using a mixed methodology, including the 5 Whys Root Cause Analysis (RCA) and the Human Factors Analysis and Classification System (HFACS), the research investigates systemic issues. Data were collected from official accident reports published by the Transport Safety Investigation Center under the Ministry of Transport and Infrastructure of the Republic of Türkiye. The analysis reveals significant patterns in decision-making errors, insufficient meteorological assessments, inadequate training, and organizational shortcomings.The findings show that both accidents were driven by systemic failures rather than pilot error alone. These included issues with organizational processes, supervisory oversight, and safety culture. The study emphasizes the need for improved meteorological systems, better training for adverse weather conditions, and enhanced safety management practices that stress the importance of a proactive safety culture and stronger operational planning to address human factors and reduce risks in hot air balloon operations.

This study drew insights from the Rossiter-Percy Grid Theory, which provides a framework forunderstanding brand communication strategies based on consumer motivation and involvementlevels. The theory was applied to examine the effect of brand communication on the preference of airline companies in Kenya, focusing on social media as a branding tool. The study employed a survey research design, collecting data from a sample of 412 airline consumers through an online questionnaire distributed via Google Forms. Data analysis involved both descriptive and inferential statistics, assessing the association between social media usage for brand communication and airline preference, Findings revealed that there was no statistically significant association between social media brand communication and airline preference. However, this does not imply that social media lacks a role in brand communication. Instead, the study highlighted that while social media alone may not directly influence airline preference, it remains an essential tool for enhancing brand awareness, engagement, and consumer perception. The study suggested that airline companies should integrate social media with other rational and emotional brand communication strategies, as outlined in the Rossiter-Percy Theory. This includes leveraging functional benefits, emotional appeal, and brand personality to create a more comprehensive and effective brand positioning strategy.

This study examines how perceived overqualification defined as employees’ perception that their qualifications exceed job requirements affects job passion. Grounded in Optimal Distinctiveness Theory, which suggests that individuals seek a balance between belonging to a group and maintaining personal uniqueness, the study investigates two forms of job passion: harmonious passion (a balanced, self-directed engagement with work) and obsessive passion (a rigid, uncontrollable attachment to one’s job). Additionally, the study explores the mediating role of trust in coworkers in the relationship between perceived overqualification and job passion. Data were collected from 227 aircraft maintenance technicians working in the Turkish aviation sector. Analyses were conducted using confirmatory factor analysis, multiple regression, and mediation analysis through SPSS 25.0 and Jamovi software. The results indicate that the misfit dimension of overqualification negatively predicts obsessive passion, while the simplicity dimension has a detrimental effect on harmonious passion. Moreover, trust in coworkers partially mediates both relationships. These findings offer theoretical contributions to understanding the emotional consequences of overqualification and provide actionable insights for HR practices in aviation and similar high-skill sectors.

The purpose of this study is to examine the effects of airline employees’ perceptions of workplace surveillance, conceptualized through the Panopticon, on their work engagement. The study employed a quantitative research design with a sample of 305 airline employees working in Istanbul, including cabin crew, flight crew, ground services, technical staff, and administrative personnel. Data were collected using the Panopticon Scale, which measures Positive Panopticon, Negative Panopticon, External Responsibility, and Awareness of Being Watched, and the short form of the Utrecht Work Engagement Scale (UWES-9), which evaluates vigor, dedication, and absorption. The collected data were analyzed through descriptive statistics, correlation analysis, and linear regression to examine the relationships between Panopticon perceptions and work engagement levels. The findings indicate that Positive Panopticon perception significantly enhances overall work engagement and its sub-dimensions, particularly vigor and absorption, by creating a sense of security and motivating employees to perform tasks more effectively. In contrast, Negative Panopticon perception was found to reduce work engagement and vigor, increasing stress and decreasing job satisfaction. Awareness of being watched positively affected employees’ vigor but did not have a statistically significant impact on dedication, absorption, or overall engagement. These results suggest that surveillance policies should be carefully designed and communicated in a transparent and supportive manner, as positive perceptions can strengthen motivation and performance, whereas negative perceptions may undermine employee commitment and well-being.

In the aviation industry, organizational agility is vital due to the sector's dynamic structure and strict safety requirements. This study investigates the effect of resistance to change on organizational agility, with self-efficacy examined as a mediating variable. The research sample comprises 435 civil aviation employees from various positions (operational staff, management, technical crew, etc.). Data were collected through validated measurement tools, including the "Resistance to Change Scale," "Organizational Agility Scale," and "Self-Efficacy Scale." Statistical analyses were conducted using SPSS 30.0 and AMOS 24.0. Confirmatory factor analyses confirmed the reliability and validity of the scales. Structural equation modeling (SEM) was applied to test the hypothesized relationships. The results revealed that resistance to change has a significant direct and indirect impact on organizational agility. Specifically, self-efficacy partially mediates the relationship between the cognitive, emotional, and behavioral dimensions of resistance to change and organizational agility. Bootstrap analysis confirmed the significance of four out of nine mediation pathways. The findings highlight that enhancing employees' self-efficacy can mitigate the negative effects of resistance to change and improve organizational agility. This has practical implications for HR professionals and aviation leaders aiming to foster agile, resilient organizations in high-risk environments.

In today's business world, where digitalization has become a strategic necessity, the impact of leadership styles on innovation capacity is becoming increasingly important. In particular, in the aviation industry, a sector characterized by low error tolerance and high information intensity, digital leaders must not only possess the ability to implement technology but also the competence to steer organizational innovation processes and manage employees' stress levels. In this context, the primary objective of this study is to empirically investigate how digital leadership influences open innovation capability and to examine the potential mediating role of occupational stress experienced by employees in this relationship. The study sample, which employs quantitative research methods, consists of 407 participants working in the aviation sector in Türkiye. The data obtained through the survey method were analyzed using structural equation modeling with the Smart-PLS 4.1.1 program. The findings indicate that digital leadership has a direct positive effect on open innovation capability and that occupational stress plays a partial mediating role in this relationship. These findings indicate that digital transformation processes should focus not only on technology but also on human resource strategies. The study presents a unique conceptual framework within the triangle of digital leadership, open innovation, and occupational stress, highlighting the impact of leadership on innovative and psychological outcomes in high-risk sectors such as aviation.

This study examines the potential contribution of artificial intelligence-based shift planning to strategic decision-making processes in airport ground handling operations. Today, the need for decision-making aligned with multidimensional goals such as resource management, legal compliance, and employee satisfaction alongside operational efficiency, is increasingly evident. In this context, considering the multi-departmental structure of a ground handling company operating at Antalya Airport, traditional shift planning was comparatively analyzed against AI-supported optimization. During the implementation process, not only operational outputs but also the managerial benefits of decision support systems were evaluated. The findings reveal that AI-based planning enhances not only efficiency but also strategic flexibility and predictability. By demonstrating that digital technologies enable a data-driven and agile decision-making approach in human resources planning, this study makes a meaningful contribution to theoretical gaps in literature.

This study examines how the multidimensional structure of seat comfort influences passengers’ recommendations. To this end, 1,062 passenger reviews from Skytrax of the world’s top 20 airlines from August 2008 and April 2025 were analysed using logistic regression. Five seat comfort variables were included: seat legroom, seat recline, seat width, aisle space, and TV screen viewing. The results indicate that all of these variables influence recommendation behavior, though to different degrees. Seat recline and aisle space were the strongest determinants, followed by seat width, viewing the TV screen, and seat legroom. This study contributes to the literature by moving beyond a generic satisfaction perspective and treating seat comfort as a multidimensional driver of passenger behavior. These findings are expected to have theoretical and practical implications, informing scholars' understanding of customer responses and guiding airline managers in improving service and seating strategies.

With the liberalization of the air transport sector and the positive impact of globalization, aviation activities are experiencing rapid growth. The growth in the aviation sector is not limited to passenger transportation, but also extends to air cargo transportation. While the sector offers numerous opportunities for economic development, it also brings various negative impacts, including high levels of carbon emissions and noise pollution. To reduce carbon emissions, businesses and authorized institutions have developed various projects, and the use of sustainable aviation fuels (SAF) is crucial in these initiatives. Although numerous studies are available in the literature, it is evident that insufficient studies are compiling the current status and future potential of sustainable aviation fuels. In this study, 480 scientific studies from the Web of Science database were examined, and 403 relevant scientific publications were systematically analyzed using a bibliometric analysis method in the Biblioshiny program. The analysis, data collection, and analysis processes, along with the findings obtained, are presented through visualizations. The fact that the words “emission” and “energy” are used 46 times each, and the word “airplane” is used 40 times, in the studies demonstrates the multidimensionality of the subject. According to the analysis, it is believed that SAF production has not yet reached the desired level, but is expected to become more effective in the future.

This study empirically investigates the impact of the proportion of female employees on firm performance in the airline industry. Panel data analysis was conducted using data from 25 globally operating airline companies for the period from 2019 to 2023. The primary objective of the study is to measure the effect of the proportion of female employees (EMPFEM) on the profitability of airline companies. In this context, EMPFEM is identified as the main independent variable, while profitability performance is evaluated through three key dependent variables: return on assets (ROA), return on equity (ROE), and return on sales (ROS). The analysis results reveal that EMPFEM has a positive and statistically significant effect on ROA and ROS, while no significant relationship was found with ROE. These findings suggest that gender diversity can be a strategic factor enhancing performance of the airline companies. The study is evaluated within the frameworks of the resource-based view and corporate social responsibility perspectives, highlighting that diversity policies may contribute to financial performance. The results indicate that increasing female employment is important not only from a gender equality standpoint but also in terms of sustainable profitability and competitive advantage in the airline industry.

A significant portion of aviation accidents is attributed to human factors, highlighting the need for comprehensive and systematic analyses in this field. This study examines 57 scheduled commercial aircraft accidents that occurred in the United States between 2020 and 2024 using the Human Factors Analysis and Classification System (HFACS) framework, with the aim of evaluating the contributing human factors in a multi-layered manner. The research demonstrates that human errors are not solely the result of individual performance deficiencies but also stem from systemic, managerial, and organizational shortcomings. The study utilizes official accident reports from the United States National Transportation Safety Board (NTSB), analysed through content and descriptive analysis techniques. Only accidents involving turbofan-powered fixed-wing aircraft engaged in scheduled passenger transportation were included. NTSB reports are considered highly reliable primary sources due to their comprehensive analysis of technical, operational, and human factors related to aviation incidents. Based on 207 coding conducted according to the HFACS model, human errors were analysed across four levels: unsafe acts, preconditions for unsafe acts, supervisory factors, and organizational influences. The analysis revealed that the most frequently observed human errors were related to decision-making and perception, primarily resulting from cognitive limitations, information deficiencies, and inadequate situational awareness. Environmental factors such as turbulence and technological shortcomings were also identified as direct threats to operational safety. Furthermore, operational planning errors, the neglect of safety priorities, dysfunctional procedures, and insufficient resource management were highlighted as indirect contributors stemming from managerial and organizational deficiencies. The findings emphasize the necessity of developing accident prevention strategies not only at the individual level but also across organizational and systemic levels.

This study examines the financial resilience of European Air Navigation Service Providers (ANSPs) before and after the COVID-19 shock. Using a balanced panel dataset covering 2017–2023 for over 30 ANSPs, we employ fixed-effects estimators to quantify changes in key financial metrics—revenue, operating costs, capital expenditures, and free cash flow—once air traffic volumes collapsed. Our findings reveal a pronounced downturn in profitability and liquidity in 2020, followed by uneven recovery trajectories across providers. We also identify factors—such as pre-pandemic leverage and cost structure—that moderated the depth of the shock. These insights contribute to crisis-management literature in aviation finance and offer policy implications for bolstering sectoral sustainability against future disruptions.

This study explores the relationship between airline employees' general competency beliefs and their crisis management capabilities, emphasizing the mediating role of perceived insider status. The dynamic nature of the aviation industry, characterized by high uncertainty and frequent crises, necessitates a competent and resilient workforce. General competency belief refers to individuals' confidence in their ability to effectively handle various life challenges, while perceived insider status reflects their sense of belonging and inclusion within the organization. Data were collected from 324 employees across 14 licensed Turkish airline companies using validated scales. Structural equation modeling revealed that general competency beliefs notably influence both crisis management and perceived insider status. Moreover, perceived insider status affects crisis management and serves as a complementary mediator. These findings underscore the importance of enhancing employee competencies and fostering a strong sense of organizational belonging to improve crisis preparedness and responsiveness. This research uniquely integrates three key concepts—competency belief, insider status, and crisis management—into a comprehensive model within the aviation sector. The study contributes to the literature by filling a gap in empirical research and offering practical insights for human resources and crisis preparedness strategies in high-risk service industries.

This study aims to analyze the financial impact of the COVID-19 pandemic on the airline and healthcare industries in OECD countries from a comparative perspective. The pandemic has created a crisis that has reshaped economic and sectoral dynamics globally. In this context, the study analyzes the key indicators affecting the financial performance of publicly traded companies operating in the airline and healthcare industries. In the analysis, stock prices are used as the dependent variable, while independent variables include earnings before interest, taxes, depreciation, and amortization (EBITDA) margin, liquidity ratio, free cash flow, total revenue, asset turnover, return on assets (ROA), and return on equity (ROE).According to the results of the analysis conducted using the panel data analysis method, the liquidity ratio and total revenue exhibit a positive and statistically significant impact on stock prices in the airline industry. In the healthcare industry, the EBITDA margin and total revenue also demonstrate statistically significant and positive effects on stock prices. In both industries, asset turnover shows a statistically significant negative relationship with stock prices. The remaining variables do not exhibit statistically significant effects.

The primary objective of this research is to reveal the causal relationship between the stock values of Turkish Airlines and Pegasus Airlines, both listed on the Borsa Istanbul, and the price of Brent crude oil. Turkish Airlines, a pioneer in this regard, was launched on the stock exchange on December 20, 1990. Pegasus Airlines, Turkey's second-largest aviation company, began trading on the stock exchange on April 26, 2013. In this research, the monthly stock prices of the two airlines between May 1, 2013, and January 31, 2025, as well as Brent crude oil prices during the same period, were used as data. Toda Yamamoto's causality analysis was used. To establish the econometric model used in the study, the stationarity of the time series must first be examined. The unit root tests show that the stock and Brent crude oil values are stationary at level one. Accordingly, the analysis was conducted by adding one to the obtained lag length to calculate the length for the Toda-Yamamoto analysis. The analysis found a unidirectional causality between Brent crude oil prices and the two companies' stocks. The study demonstrates the relationship between two aviation sector companies traded on Borsa Istanbul and the oil variable, a significant expense item, and a key macroeconomic variable. In this regard, due to the limited number of studies conducted on this topic in the literature, this study is expected to fill a significant gap.

This research primarily aims to examine the human factors that cause accidents involving civilian UAVs using a qualitative research method within the framework of the PEAR model. Examining the consequences of UAV accidents constitutes a secondary aim of this research. The research was conducted using a phenomenological design, a qualitative research design. The research sample was determined using purposive sampling and the saturation point method. The study sample consisted of 85 UAV accidents that occurred in different locations and while performing different tasks in the United Kingdom between 2015 and 2025. Accident reports were examined using document review to collect data. The obtained data were subjected to content analysis using a descriptive approach within the framework of the PEAR model. Five themes emerged from the content analysis. These themes are: People-related factors, Environment-related factors, Action-related factors, Resource-related factors, and Consequences of UAV Accidents. Research findings indicate that resource-related factors (mostly technical issues) account for 39% of UAV accidents, environmental factors (mostly physical environment) for 26%, action-related factors for 22%, and human-related factors for 13%. Both actions and human-related factors are directly related to the behaviours, skills decisions, and attitudes of UAV pilots and flight crew. In this context, it can be concluded that the sum of these two factors (35%) accounts for human factors in UAV accidents. While UAVs have mostly sustained material damage as a result of these accidents, in some cases, a small number of people in the vicinity were slightly injured, and vehicles were partially damaged.

As air travel becomes increasingly complex and passenger expectations rise, airport authorities are turning to digital technologies—such as artificial intelligence, IoT, biometric systems, and mobile applications—to streamline operations and enhance customer experiences. Depending on these improvements, this study explores the transformative impact of digitalization on service quality at airports, focusing on how technological advancements influence operational efficiency and passenger satisfaction across pre-flight, in-flight, and post-flight stages. Drawing on a qualitative research design, semi-structured interviews were conducted with twelve professionals from Istanbul Airport and Sabiha Gökçen Airport, representing diverse operational roles.The thematic analysis of the interview data revealed six key dimensions through which digitalization contributes to service improvement: the adoption of smart systems and self-services, personalization of customer experience, training and personnel development, infrastructure enhancement, environmentally sustainable practices, and continuous feedback mechanisms. While digitalization was widely recognized as a catalyst for faster transactions, improved safety, and higher customer satisfaction, concerns such as system failures, data privacy, technological inequality, and diminished human interaction were also highlighted.By presenting a stage-based assessment of digitalization, which are pre-flight, in-flight, and post-flight, this study offers a comprehensive framework for understanding its dual role as both an enabler and a challenge in modern airport service management. The findings contribute to the growing literature on digital transformation in aviation and provide practical insights for airport administrators seeking to align technology integration with service excellence and long-term sustainability.

Airlines operate in a highly competitive environment and strive to maximize their revenue by optimizing resource utilization to gain a competitive advantage. In this context, optimizing aircraft allocation for flights is of critical importance for revenue maximization. In airline operations, fleet and aircraft assignments are based on demand forecasts at the beginning of the tariff, so when passenger and/or cargo demand differs from the forecast for a particular flight, the assigned aircraft resource needs to be re-evaluated accordingly. The aim of this study is to create a tool that provides operations managers with a preliminary assessment of demand optimization so that aircraft can be allocated in response to demand changes, taking into account aircraft performance, features, costs and revenues. The data for the variables in the study were obtained through a literature review. The averages of these data were calculated and used for study. It was assumed that only for airport suitability, Type 5 was not suitable for ADA and KCM airports, and Type 4 was not suitable for KCM airport. it can be reported that a TOOL has been created using the Microsoft Excel program, which enables the evaluation of passenger and cargo demands based on maximizing profit and minimizing losses.

The COVID-19 pandemic has profoundly transformed global economic and managerial dynamics, leading to significant changes in corporate risk perceptions and management strategies. The uncertainties experienced during the pandemic highlighted factors such as business continuity, supply chain vulnerabilities, and financial instability, necessitating more comprehensive and flexible enterprise risk management (ERM) approaches. During this period, companies enhanced their capacities especially in occupational health and safety, while striving to integrate traditional risk management strategies with digitalization, sustainability, and crisis scenarios. This study aims to comprehensively examine the current state of the literature on enterprise risk management published after COVID-19 through a bibliometric analysis. Publications from various sectors were evaluated, with particular emphasis on the aviation industry as an illustrative example to highlight transformation processes during the pandemic. In this context, the aviation sector emerges as one of the key themes of the study, strengthening both its originality and scope. By analyzing academic publications released between 2020 and 2025, this study identifies prominent themes and publication trends for the post-pandemic period, thereby aiming to guide future research in the field of enterprise risk management.

This study aims to examine critical issues and gaps in main regulatory frameworks (European Union Aviation Safety Agency (EASA) and Federal Aviation Administration (FAA)), concerning the training, licensing, and certification of Unmanned Aircraft Systems (UAS) pilots. Particular attention is given to issues such as the minimal age requirement for pilots, the absence of observers and practical flight examinations to ensure operational competence. The paper, mainly using research articles, regulation etc., highlights the lack of regulatory harmonization between the European Union and United States, especially concerning the mutual recognition of foreign certifications, underlining the need for unified standards as advocated by the International Civil Aviation Organization (ICAO). Furthermore, the study criticizes the oversimplification of EASA's requirements, where self-training and lack of qualified examiners may compromise the operational proficiency of UAS pilots. Through comparative analysis of FAA and EASA approaches in theoretical and practical training, risk-based categorization, adherence to safety standards and critical role of Artificial Intelligence (AI), this paper identifies the need for enhancing an international unified framework for UAS pilot licensing, proposing practices.

This study compares the customer complaints of traditional airlines and low-cost carriers in Turkey through a qualitative analysis of online reviews. The aviation industry has experienced significant growth, leading to increased competition and focus on customer satisfaction. Online reviews play a crucial role in shaping brand image and influencing customer preference. This study examines reviews posted by TripAdvisors between January and August 2024 for Turkish Airlines (traditional carriers) and Pegasus Airlines (low-cost carriers). Content analysis was employed to categorize the data into specific groups, with an interpretive approach used to holistically evaluate the meanings of sentences and paragraphs. The findings reveal that flight delays are a primary concern for customers of both the airlines. For Pegasus Airlines, extra charges and good service are also significant themes, while Turkish Airlines faces issues with inadequate help desks and rude behavior. This study highlights the importance of addressing customer complaints, investing in customer service training, and adopting strategies to meet evolving customer expectations. The results suggest that airlines should focus on improving their customer-centric approach, analyzing customer feedback, and implementing measures to enhance service quality. This study contributes to the understanding of customer satisfaction in the airline industry and provides valuable insights for airlines seeking to gain competitive advantage.