Browsing by Author "Akkartal, Gonca Reyhan"

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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.
Prioritizing Cybersecurity Initiatives in Aviation: A DEMATEL-QSFs Methodology
(Cell Press, 2024) Mizrak, Filiz; Akkartal, Gonca Reyhan
The aviation industry's growing dependence on digital technologies necessitates robust cybersecurity measures to counter advanced threats. This study integrates the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method with Quantum Spherical Fuzzy Sets (QSFS) to enable precise and reliable decision-making under uncertainty. Key criteria, identified through expert evaluations, include Threat Detection Systems (TDS), Data Encryption Protocols (DEP), Regulatory Compliance (RC), Incident Response Plans (IRP), User Training (UT), Access Control Mechanisms (ACM), and Network Security Solutions (NSS). Analysis using the proposed method revealed that "Regulatory Compliance" and "Threat Detection Systems" are the most influential factors, emphasizing the need for strict adherence to standards and advanced threat detection capabilities. Additionally, the significance of "User Training" and "Data Encryption Protocols" underscores the importance of comprehensive training programs and strong encryption measures. By incorporating strategic management theories such as the Resource-Based View (RBV), Contingency Theory, and Risk Management Theory, this study presents a strategic framework to assist aviation organizations, policymakers, and researchers in developing effective cybersecurity strategies, ensuring the safety and security of global air travel.