Araştırma Makalesi
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HAVACILIK FAALİYETLERİNİN SÜRDÜRÜLEBİLİRLİĞİNDE ÇALIŞANLARIN YAPAY ZEKÂYA ADAPTASYONU: NİTEL BİR ARAŞTIRMA

Yıl 2026, Sayı: 9 , 41 - 58 , 30.03.2026
https://doi.org/10.62080/kmfed.1864196
https://izlik.org/JA78SY95SA

Öz

Çalışmanın amacı, sürdürülebilir havacılık faaliyetleri bağlamında çalışanların yapay zekâ (YZ) teknolojilerine adaptasyonunu incelemek ve bunun sürdürülebilirlik çıktıları üzerindeki etkisini ortaya koymaktır. Nitel araştırma deseni benimsenen çalışma, Türkiye’deki iki büyük havalimanında farklı hiyerarşik düzeylerde görev yapan 26 çalışanla gerçekleştirilmiştir. Veriler yarı yapılandırılmış derinlemesine görüşmeler yoluyla toplanmış ve NVivo yazılımı kullanılarak nitel içerik analiziyle analiz edilmiştir. Bulgular, sürdürülebilirliğin çevresel sorumluluk, operasyonel süreklilik, etkin kaynak kullanımıyla örgütsel ve insani sürdürülebilirliği kapsayarak çok boyutlu algılandığını göstermektedir. YZ teknolojileri, operasyonel planlama-karar alma süreçlerinde verimlilik, öngörülebilirlik ve kaynak optimizasyonunu destekleyen önemli araçlar olarak değerlendirilmektedir. YZ destekli sürdürülebilirlik uygulamalarının etkinliğinin ve sürekliliğinin çalışanların bu teknolojilere adaptasyonuna bağlı olduğu görülmektedir. Çalışma, sürdürülebilir havacılığın hem teknolojik gelişmelerle hem de YZ sistemleriyle, örgütsel stratejilerin ve çalışanların uyum kapasitelerinin birlikte ele alındığı sosyo-teknik bütünlükle mümkün olabileceğini ortaya koymaktadır.

Kaynakça

  • Ahmed, S. K. (2024). “The Pillars of Trustworthiness in Qualitative Research”. Journal of Medicine, Surgery, and Public Health, 2, 100051.
  • Agarwal, P., & Goel, S. (2024). “Exploring the Impact of Artificial Intelligence on Work-Life Balance: A Secondary Data Analysis”. Humanities and Social Sciences, 85(14): 144-149.
  • Alegre, A. (2025). “Embedding Sustainability in Human Resource Systems: A Case Study of Green HRM at Philippine Airlines”. Journal of Sustainable Development, 18(4): 11–24.
  • Bamidele, R., Ozturen, A., Haktanir, M., & Ogunmokun, O. (2023). “Realizing Green Airport Performance Through Green Management İntransigence, Airport Reputation, Biospheric Value, and Eco-Design”. Sustainability, 15(3): 2475.
  • Bergero, C., Gosnell, G., Gielen, D., Kang, S., Bazilian, M., & Davis, S. (2023). “Pathways to Net-Zero Emissions from Aviation”. Nature Sustainability, 6: 404–414.
  • Chowdhury, S., Budhwar, P., & Wood, G. (2024). “Generative Artificial Intelligence in Business: Towards A Strategic Human Resource Management Framework”. British Journal of Management, 35(4): 1680–1691.
  • Couto, J., & Baltazar, M. (2025). “Sustainable Airport Development: A Literature Review Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses Methodology, Using Openalex Database”. Sustainability, 17(9): 4184.
  • Creswell, J. W. (2019). Qualitative Inquiry and Research Design: Choosing Among Five Traditions. London: Sage.
  • Dave, B., Martin, P., David, S. S., Kumar, S., & Chakraborty, T. (2025). “Enhancing Healthcare Worker Mental Health Via Artificial Intelligence-Driven Work Process Improvements: A Scoping Review”. International Journal of Medical Informatics, 106122.
  • Dey, P., Chowdhury, S., Abadie, A., Yaroson, E., & Sarkar, S. (2023). “Artificial Intelligence-Driven Supply Chain Resilience in Vietnamese Manufacturing Small- and Medium-Sized Enterprises”. International Journal of Production Research, 62(15): 5417–5456.
  • Dimitriou, D., & Karagkouni, A. (2022). “Assortment of Airports’ Sustainability Strategy: A Comprehensiveness Analysis Framework”. Sustainability, 14(7): 4217.
  • Drisko, J. W. (2025). “Transferability and Generalization in Qualitative Research”. Research on Social Work Practice, 35(1): 102-110.
  • Dworkin, S. L. (2012). “Sample Size Policy for Qualitative Studies Using in-Depth Interviews”. Archives of Sexual Behavior, 41(6): 1319-1320.
  • Flores, A., Paselk, A., & McAndrew, I. (2024). “Advancing Perspectives: A Scoping Review of Artificial Intelligence Applications in Aviation Human Factors for Flight Crews”. In T. Ahram & W. Karwowski (Eds.), Human factors in design, engineering, and computing (Vol. 159, pp. 2149–2163). AHFE International.
  • Geske, A., Herold, D., & Kummer, S. (2025). Using Sustainable Technology to Drive Efficiency: Artificial Intelligence as an Information Broker for Advancing Airline Operations Management. Sustainable Technology and Entrepreneurship, 100111.
  • Glesne, C. (2012). The Campus Art Museum: A Qualitative Study. Kress Foundation. Accessed March, 21, 2015(pp. 1-121).
  • Henneberry, D., Ziakkas, D., & Doerrstein, F. (2025). “The Role of Artificial Intelligence (AI) Applications in Aviation Risk Management”. In Human Interaction and Emerging Technologies (IHIET-AI 2025) (Vol. 161, pp. 12–20). AHFE International.
  • Hou, R., Song, X., Yan, Q., Zhang, X., & Deng, J. (2025). “Synergistic Innovation Pathways in Aviation Complex Product Ecosystems: Enabling Sustainability Through Resource Efficiency and Systemic Collaboration”. Sustainability, 17(17): 7650.
  • Ikhsani, A., & Putro, U. (2025). “A Strategic Role for Aircraft Manufacturers in Indonesia’s Sustainable Aviation”. Journal Integration of Management Studies, 3(1): 97–112.
  • Kabashkin, I., Perekrestov, V., Tyncherov, T., Shoshin, L., & Susanin, V. (2024). “Framework for Integration of Health Monitoring Systems in Life Cycle Management for Aviation Sustainability and Cost Efficiency”. Sustainability, 16(14): 6154.
  • Limna, P. (2023). “The Impact of Nvivo in Qualitative Research: Perspectives from Graduate Students”. Journal of Applied Learning & Teaching, 6(2): 271-282.
  • Lingrui, L., & Xin, W. (2024). “Towards Smart Aviation with Sustainable Development: Artificial Intelligence Insights into the Airline and Advanced Air Mobility Industries”. Decision Support Systems For Sustainable Computing, 187-204.
  • Maxwell, J. A. (2008). Designing a qualitative study. In L. Bickman, & D. J. Rog (Eds.) The SAGE handbook of applied social research methods (2nd ed., pp. 214-253). SAGE.
  • Menzies, J., Sabert, B., Hassan, R., & Mensah, P. (2024). “Artificial Intelligence for International Business: Its Use, Challenges, and Suggestions for Future Research and Practice”. Thunderbird International Business Review, 66(2): 185–200.
  • Meydiana, K., & Putri, H. (2025). “Artificial Intelligence Adoption, Job Insecurity, and Psychological Resilience: Challenges for Employee Adaptation in Future Work Environments”. International Journal of Issue Science, 1(5): 1–8.
  • Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). “The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations”. Informing Science: The International Journal of an Emerging Transdiscipline, 26: 39–68.
  • Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A. (2023). “A Study of Artificial Intelligence Impacts on Human Resource Digitalization in Industry 4.0”. Decision Analytics Journal, 7, 100249.
  • Nazeer, S., Saleem, H., & Shafiq, M. (2024). “Examining the Influence of Adoptability, Alignment, and Agility Approaches on the Sustainable Performance of Aviation Industry: An Empirical Investigation of Supply Chain Perspective”. International Journal of Aviation, Aeronautics, and Aerospace, 11(1): 8–21.
  • Öz, T. (2025). “Strategic Pathways to Aviation Sustainability: Insights from Turkish Experts on Regulatory, Technological, and Market Responses”. Journal of Aviation, 9(3): 548–563.
  • Qu, S. Q., & Dumay, J. (2011). “The Qualitative Research Interview”. Qualitative Research in Accounting & Management, 8(3): 238-264.
  • Raimundo, R., Baltazar, M., & Cruz, S. (2023). “Sustainability in the Airports Ecosystem: A Literature Review”. Sustainability, 15(16): 12325.
  • Rupcic, L., Pierrat, E., Saavedra-Rubio, K., Thonemann, N., Ogugua, C., & Laurent, A. (2023). “Environmental Impacts in the Civil Aviation Sector: Current State and Guidance”. Transportation Research Part D: Transport and Environment, 119, 103717.
  • Saade, R., Zhang, X., Yu, C., & Yao, J. (2025). “A Thematic Analysis, Definition, and a Green Aviation Conceptual Model—Putting It All Together”. Sustainability, 17(2): 564–581.
  • Shaik, A., Alshibani, S., Jain, G., Gupta, B., & Mehrotra, A. (2023). “Artificial Intelligence (AI)-Driven Strategic Business Model Innovations in Small- and Medium-Sized Enterprises: Insights on Technological and Strategic Enablers for Carbon Neutral Businesses”. Business Strategy and the Environment, 33(4): 2731–2751.
  • Skačkauskienė, I., & Leonavičiūtė, V. (2025). “Change Management in Aviation Organizations: A Multi-Method Theoretical Framework for External Environmental Uncertainty”. Sustainability, 17(15): 6994.
  • Soomro, R., Al-Rahmi, W., Dahri, N., Almuqren, L., Al-Mogren, A., & Aldaijy, A. (2025). “A SEM–ANN Analysis to Examine Impact of Artificial Intelligence Technologies on Sustainable Performance of SMEs”. Scientific Reports, 15(1): 5438.
  • Venkatesh, V., Raman, R., & Cruz-Jesus, F. (2023). “AI and Emerging Technology Adoption: A Research Agenda for Operations Management”. International Journal of Production Research, 62(15): 5367–5377.
  • Wen, X., Choi, T., Sun, X., & He, H. (2024). “Advances of Operations Research in Air Transportation in the Intelligence Age”. Journal of Air Transport Management, 122: 102691.
  • Wild, G., Nanyonga, A., Iqbal, A., Bano, S., Somerville, A., & Pollock, L. (2025). “Lightweight and Mobile Artificial Intelligence and Immersive Technologies in Aviation”. Visual Computing for Industry, Biomedicine, and Art, 8(1): 21.
  • Yıldırım, A. & Şimşek, H. (2011). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. Ankara: Seçkin Yayınları. Ziakkas, D., Pechlivanis, K., & Plioutsias, A. (2025). “Enhancing Aviation Risk Assessment Through Artificial Intelligence: The Single Pilot Operations Case Study”. Transportation Research Procedia, 88: 305–314.
  • Zięba, M., & Johansson, E. (2022). “Sustainability Reporting in the Airline İndustry: Current Literature and Future Research Avenues”. Transportation Research Part D: Transport and Environment, 102: 103133.

ADAPTATION OF EMPLOYEES TO ARTIFICIAL INTELLIGENCE IN THE SUSTAINABILITY OF AVIATION ACTIVITIES: A QUALITATIVE RESEARCH

Yıl 2026, Sayı: 9 , 41 - 58 , 30.03.2026
https://doi.org/10.62080/kmfed.1864196
https://izlik.org/JA78SY95SA

Öz

The aim of this study is to examine the adaptation of employees to artificial intelligence (AI) technologies within the context of sustainable aviation activities and to reveal its impact on sustainability outcomes. Adopting a qualitative research design, the study was conducted with 26 employees at different hierarchical levels in two major airports in Turkey. Data were collected through semi-structured in-depth interviews and analyzed using qualitative content analysis with NVivo software. The findings show that sustainability is perceived in a multidimensional way, encompassing environmental responsibility, operational continuity, efficient resource utilization, and organizational and human sustainability. AI technologies are considered important tools supporting efficiency, predictability, and resource optimization in operational planning and decision-making processes. The effectiveness and continuity of AI-supported sustainability practices are seen to depend on the adaptation of employees to these technologies. The study reveals that sustainable aviation is possible through a socio-technical integration that considers both technological advancements and AI systems, along with organizational strategies and the adaptation capacities of employees.

Kaynakça

  • Ahmed, S. K. (2024). “The Pillars of Trustworthiness in Qualitative Research”. Journal of Medicine, Surgery, and Public Health, 2, 100051.
  • Agarwal, P., & Goel, S. (2024). “Exploring the Impact of Artificial Intelligence on Work-Life Balance: A Secondary Data Analysis”. Humanities and Social Sciences, 85(14): 144-149.
  • Alegre, A. (2025). “Embedding Sustainability in Human Resource Systems: A Case Study of Green HRM at Philippine Airlines”. Journal of Sustainable Development, 18(4): 11–24.
  • Bamidele, R., Ozturen, A., Haktanir, M., & Ogunmokun, O. (2023). “Realizing Green Airport Performance Through Green Management İntransigence, Airport Reputation, Biospheric Value, and Eco-Design”. Sustainability, 15(3): 2475.
  • Bergero, C., Gosnell, G., Gielen, D., Kang, S., Bazilian, M., & Davis, S. (2023). “Pathways to Net-Zero Emissions from Aviation”. Nature Sustainability, 6: 404–414.
  • Chowdhury, S., Budhwar, P., & Wood, G. (2024). “Generative Artificial Intelligence in Business: Towards A Strategic Human Resource Management Framework”. British Journal of Management, 35(4): 1680–1691.
  • Couto, J., & Baltazar, M. (2025). “Sustainable Airport Development: A Literature Review Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses Methodology, Using Openalex Database”. Sustainability, 17(9): 4184.
  • Creswell, J. W. (2019). Qualitative Inquiry and Research Design: Choosing Among Five Traditions. London: Sage.
  • Dave, B., Martin, P., David, S. S., Kumar, S., & Chakraborty, T. (2025). “Enhancing Healthcare Worker Mental Health Via Artificial Intelligence-Driven Work Process Improvements: A Scoping Review”. International Journal of Medical Informatics, 106122.
  • Dey, P., Chowdhury, S., Abadie, A., Yaroson, E., & Sarkar, S. (2023). “Artificial Intelligence-Driven Supply Chain Resilience in Vietnamese Manufacturing Small- and Medium-Sized Enterprises”. International Journal of Production Research, 62(15): 5417–5456.
  • Dimitriou, D., & Karagkouni, A. (2022). “Assortment of Airports’ Sustainability Strategy: A Comprehensiveness Analysis Framework”. Sustainability, 14(7): 4217.
  • Drisko, J. W. (2025). “Transferability and Generalization in Qualitative Research”. Research on Social Work Practice, 35(1): 102-110.
  • Dworkin, S. L. (2012). “Sample Size Policy for Qualitative Studies Using in-Depth Interviews”. Archives of Sexual Behavior, 41(6): 1319-1320.
  • Flores, A., Paselk, A., & McAndrew, I. (2024). “Advancing Perspectives: A Scoping Review of Artificial Intelligence Applications in Aviation Human Factors for Flight Crews”. In T. Ahram & W. Karwowski (Eds.), Human factors in design, engineering, and computing (Vol. 159, pp. 2149–2163). AHFE International.
  • Geske, A., Herold, D., & Kummer, S. (2025). Using Sustainable Technology to Drive Efficiency: Artificial Intelligence as an Information Broker for Advancing Airline Operations Management. Sustainable Technology and Entrepreneurship, 100111.
  • Glesne, C. (2012). The Campus Art Museum: A Qualitative Study. Kress Foundation. Accessed March, 21, 2015(pp. 1-121).
  • Henneberry, D., Ziakkas, D., & Doerrstein, F. (2025). “The Role of Artificial Intelligence (AI) Applications in Aviation Risk Management”. In Human Interaction and Emerging Technologies (IHIET-AI 2025) (Vol. 161, pp. 12–20). AHFE International.
  • Hou, R., Song, X., Yan, Q., Zhang, X., & Deng, J. (2025). “Synergistic Innovation Pathways in Aviation Complex Product Ecosystems: Enabling Sustainability Through Resource Efficiency and Systemic Collaboration”. Sustainability, 17(17): 7650.
  • Ikhsani, A., & Putro, U. (2025). “A Strategic Role for Aircraft Manufacturers in Indonesia’s Sustainable Aviation”. Journal Integration of Management Studies, 3(1): 97–112.
  • Kabashkin, I., Perekrestov, V., Tyncherov, T., Shoshin, L., & Susanin, V. (2024). “Framework for Integration of Health Monitoring Systems in Life Cycle Management for Aviation Sustainability and Cost Efficiency”. Sustainability, 16(14): 6154.
  • Limna, P. (2023). “The Impact of Nvivo in Qualitative Research: Perspectives from Graduate Students”. Journal of Applied Learning & Teaching, 6(2): 271-282.
  • Lingrui, L., & Xin, W. (2024). “Towards Smart Aviation with Sustainable Development: Artificial Intelligence Insights into the Airline and Advanced Air Mobility Industries”. Decision Support Systems For Sustainable Computing, 187-204.
  • Maxwell, J. A. (2008). Designing a qualitative study. In L. Bickman, & D. J. Rog (Eds.) The SAGE handbook of applied social research methods (2nd ed., pp. 214-253). SAGE.
  • Menzies, J., Sabert, B., Hassan, R., & Mensah, P. (2024). “Artificial Intelligence for International Business: Its Use, Challenges, and Suggestions for Future Research and Practice”. Thunderbird International Business Review, 66(2): 185–200.
  • Meydiana, K., & Putri, H. (2025). “Artificial Intelligence Adoption, Job Insecurity, and Psychological Resilience: Challenges for Employee Adaptation in Future Work Environments”. International Journal of Issue Science, 1(5): 1–8.
  • Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023). “The Impact of Artificial Intelligence on Workers’ Skills: Upskilling and Reskilling in Organisations”. Informing Science: The International Journal of an Emerging Transdiscipline, 26: 39–68.
  • Murugesan, U., Subramanian, P., Srivastava, S., & Dwivedi, A. (2023). “A Study of Artificial Intelligence Impacts on Human Resource Digitalization in Industry 4.0”. Decision Analytics Journal, 7, 100249.
  • Nazeer, S., Saleem, H., & Shafiq, M. (2024). “Examining the Influence of Adoptability, Alignment, and Agility Approaches on the Sustainable Performance of Aviation Industry: An Empirical Investigation of Supply Chain Perspective”. International Journal of Aviation, Aeronautics, and Aerospace, 11(1): 8–21.
  • Öz, T. (2025). “Strategic Pathways to Aviation Sustainability: Insights from Turkish Experts on Regulatory, Technological, and Market Responses”. Journal of Aviation, 9(3): 548–563.
  • Qu, S. Q., & Dumay, J. (2011). “The Qualitative Research Interview”. Qualitative Research in Accounting & Management, 8(3): 238-264.
  • Raimundo, R., Baltazar, M., & Cruz, S. (2023). “Sustainability in the Airports Ecosystem: A Literature Review”. Sustainability, 15(16): 12325.
  • Rupcic, L., Pierrat, E., Saavedra-Rubio, K., Thonemann, N., Ogugua, C., & Laurent, A. (2023). “Environmental Impacts in the Civil Aviation Sector: Current State and Guidance”. Transportation Research Part D: Transport and Environment, 119, 103717.
  • Saade, R., Zhang, X., Yu, C., & Yao, J. (2025). “A Thematic Analysis, Definition, and a Green Aviation Conceptual Model—Putting It All Together”. Sustainability, 17(2): 564–581.
  • Shaik, A., Alshibani, S., Jain, G., Gupta, B., & Mehrotra, A. (2023). “Artificial Intelligence (AI)-Driven Strategic Business Model Innovations in Small- and Medium-Sized Enterprises: Insights on Technological and Strategic Enablers for Carbon Neutral Businesses”. Business Strategy and the Environment, 33(4): 2731–2751.
  • Skačkauskienė, I., & Leonavičiūtė, V. (2025). “Change Management in Aviation Organizations: A Multi-Method Theoretical Framework for External Environmental Uncertainty”. Sustainability, 17(15): 6994.
  • Soomro, R., Al-Rahmi, W., Dahri, N., Almuqren, L., Al-Mogren, A., & Aldaijy, A. (2025). “A SEM–ANN Analysis to Examine Impact of Artificial Intelligence Technologies on Sustainable Performance of SMEs”. Scientific Reports, 15(1): 5438.
  • Venkatesh, V., Raman, R., & Cruz-Jesus, F. (2023). “AI and Emerging Technology Adoption: A Research Agenda for Operations Management”. International Journal of Production Research, 62(15): 5367–5377.
  • Wen, X., Choi, T., Sun, X., & He, H. (2024). “Advances of Operations Research in Air Transportation in the Intelligence Age”. Journal of Air Transport Management, 122: 102691.
  • Wild, G., Nanyonga, A., Iqbal, A., Bano, S., Somerville, A., & Pollock, L. (2025). “Lightweight and Mobile Artificial Intelligence and Immersive Technologies in Aviation”. Visual Computing for Industry, Biomedicine, and Art, 8(1): 21.
  • Yıldırım, A. & Şimşek, H. (2011). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. Ankara: Seçkin Yayınları. Ziakkas, D., Pechlivanis, K., & Plioutsias, A. (2025). “Enhancing Aviation Risk Assessment Through Artificial Intelligence: The Single Pilot Operations Case Study”. Transportation Research Procedia, 88: 305–314.
  • Zięba, M., & Johansson, E. (2022). “Sustainability Reporting in the Airline İndustry: Current Literature and Future Research Avenues”. Transportation Research Part D: Transport and Environment, 102: 103133.
Toplam 41 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Politika ve Yönetim (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Selvi Vural 0000-0002-3245-8599

Okan Tarhanaci 0009-0009-7656-4279

Gönderilme Tarihi 15 Ocak 2026
Kabul Tarihi 4 Mart 2026
Yayımlanma Tarihi 30 Mart 2026
DOI https://doi.org/10.62080/kmfed.1864196
IZ https://izlik.org/JA78SY95SA
Yayımlandığı Sayı Yıl 2026 Sayı: 9

Kaynak Göster

APA Vural, S., & Tarhanaci, O. (2026). HAVACILIK FAALİYETLERİNİN SÜRDÜRÜLEBİLİRLİĞİNDE ÇALIŞANLARIN YAPAY ZEKÂYA ADAPTASYONU: NİTEL BİR ARAŞTIRMA. Kapanaltı Dergisi, 9, 41-58. https://doi.org/10.62080/kmfed.1864196