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Havayolu İşletmelerinde Dijital Dönüşüm Uygulamaları Üzerine Bir İnceleme

Year 2023, , 65 - 82, 28.02.2023
https://doi.org/10.51785/jar.1185935

Abstract

Bu çalışmanın temel araştırma konusu havacılıkta dijital dönüşümün bir parçası olarak havayolu işletmelerinin kullandıkları dijital uygulamaları incelemek ve yeni teknolojilerin bu uygulamalar ile nasıl birleştirildiğini ortaya koymaktır. Bu çerçevede yeni teknolojiler olan blok zincir, artırılmış gerçeklik ve sanal gerçeklik, yapay zekâ, işaret teknolojisi, robotik, biyometri, büyük veri ve analitik, makine öğrenmesi, nesnelerin interneti, RFID ve barkod tabanlı izleme, GPS ile takip, giyilebilir cihazlar, akıllı sensörlerin havayolu işletmelerindeki temel faaliyetler olan satış ve pazarlama, operasyon yönetimi, kaynak yönetimi, bakım yönetimi, müşteri ilişkileri yönetimi, iş birliği yönetimi sistemlerini dijitalleşme kapsamında etkileme durumu ortaya konulmaktadır. Ayrıca havayolu işletmeleri için değer zinciri analizi dikkate alınarak dijitalleşmenin bu zincir içindeki yeri çalışma kapsamında ele alınmaktadır. Dijital dönüşümün havayolu işletmelerinin temel faaliyet alanlarına etkisi ele alınmış ve maaliyetine karşın işletmeleri kaçınılmaz olarak dijitalleşme çabası içinde olacakları değerlendirilmiştir.

References

  • Abeyratne, R. (2017). Megatrends And Air Transport: Legal, Ethical And Economic Issues. Springer International Publishing.
  • Atalay, M., & Çelik, E. (2017). Büyük Veri Analizinde Yapay Zekâ Ve Makine Öğrenmesi Uygulamalari-Artificial Intelligence And Machine Learning Applications In Big Data Analysis. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(22), 155-172.
  • Baki, B., & Serdar, D. (2020). Sanayi 4.0 Olgunluk Modeli Uygulamalari Üzerine Literatür Incelemesi. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi KAÜİİBFD, 11(22), 766-787.
  • Bandara, O. K. K., Tharaka, V. K., & Wickramarachchi, A. P. R. (2019, March). Industry 4.0 Maturity Assessment of the Banking Sector of Sri Lanka. In 2019 International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka, 28 March 2019, IEEE, 190-195.
  • Barnes, S. J. (2002). The Mobile Commerce Value Chain: Analysis And Future Developments. -mInternational journal of information management, 22(2), 91-108.
  • Bingemer, S. (2022). Global Distribution Systems (GDS). In Encyclopedia of Tourism Management and Marketing. 426-429. Edward Elgar Publishing.
  • Buhalis, D. (2004). eAirlines: Strategic And Tactical Use Of ICTs In The Airline Industry. Information & Management, 41(7), 805-825.
  • Cam, A. C., & Durmaz, V. (2018). Dijital Havacilik: Güncel Uygulamalarla Gelecekteki Yolcu Deneyimleri. Electronic Turkish Studies, 13(26).
  • Copeland, D. (1991). So You Want To Build The Next SABRE System. Business Quarterly, 55(33), 56-60. Copeland, D. G., & McKenney, J. L. (1988). Airline Reservations Systems: Lessons From History. MIS Quarterly, 353-370.
  • Çukur, F.T. (2020). Sivil Havacilikta Büyük Veri Teknolojisi Ve Uygulamalari, STM Teknolojik Düşünme Merkezi Araştırma Raporu. https://thinktech.stm.com.tr/uploads/ raporlar/pdf/21202091831971_stm_sivil_havacilikta_buyuk_veri.pdf, Erişim T: 25 Temmuz 2022.
  • Ferguson, G. R. (1983). Aircraft Maintenance Expert Systems. AIR FORCE Institute of Technology Wright-Patterson AFB OH School of Engineering.
  • Fersht, P., & Slaby, J. R. (2012). Robotic automation emerges as a threat to traditional low-cost outsourcing. Horses for Sources, London, 1-18.
  • Frank, B. (2020). Enterprise Resource Planning (ERP) Software in Aviation, https://rotabull.com/blog/erp-for-aviation, Erişim T: 15.12.2022.
  • Gök, M. Ş., 2005, ERP Sistemlerinin Firma Performansına Etkileri Üzerine Bir Saha Araştırması, V. Ulusal Üretim Araştırmaları Sempozyumu, İstanbul Ticaret Üniversitesi, 25-27 Kasım – İstanbul.
  • GSM Association. (2014). Understanding the Internet of Things (IoT). GSMA Connect. Living, 15. Hites, D. (1998). The Digital Economy: Promise and Peril in the Age of Networked Intelligence. Journal of Information Ethics, 7(1), 88.
  • International Air Transport Association. (2019). IATA Global Passenger Survey Highlights (IATA-GPS). https://www.iata.org/en/publications, Erişim T: 22.12.2022.
  • Ismail, N., Ismail, A., & Rahmat, R. A. O. K. (2009). Development Of Expert System For Airport Pavement Maintenance And Rehabilitation. European Journal of Scientific Research, 35(1), 121-129.
  • Jonathan, G. M. (2020). Digital Transformation In The Public Sector: Identifying Critical Success Factors. In Information Systems: 16th European, Mediterranean, and Middle Eastern Conference, EMCIS 2019, Dubai, United Arab Emirates, December 9–10, 2019, Proceedings 16, 223-235. Springer International Publishing.
  • Kalić, M., Dožić, S., & Babić, D. (2012). Predicting Air Travel Demand Using Soft Computing: Belgrade Airport Case Study. 15th Euro Working Group on Transportation. Paris, France.
  • Khan, W. A., Chung, S. H., & Ma, H. L. (2020). Controlling Air Traffic Congestion By Predicting Flight Departure Delays And Duration: Integrating Machine Learning Sampling Techniques And Deep Learning Approaches. In: Transportation Science and Logistics Second Triennial Conference. INFORMS, Washington DC, 1–5.
  • Kim, D., & Marciniak, M. (2001). A Methodology To Predict The Empennage In-Flight Loads Of A General Aviation Aircraft Using Backpropagation Neural Networks. Embry-Riddle Aeronautical Univ., Daytona Beach, FL, USA, Oct. 16–18, 2001.
  • Kowtha, N. R., & Choon, T. W. I. (2001). Determinants Of Website Development: A Study Of Electronic Commerce in Singapore. Information & management, 39(3), 227-242.
  • Kuyucak, F. (2008). Bilgi Teknolojilerinin Havayolu Endüstrisine Etkileri. Kayseri VII. Havacılık Sempozyumu (HaSem’08), 15-16 Mayıs 2008.
  • Kuyucak, F., & Şengür, Y. (2009). Değer Zinciri Analizi. Karamanoğlu Mehmetbey Üniversitesi Sosyal Ve Ekonomik Araştırmalar Dergisi, 2009(1), 132-147.
  • Lee, C. S. (2001). Modeling The Business Value of Information Technology. Information & Management, 39(3), 191-210.
  • Lin, T. C., Wang, K. J., & Sheng, M. L. (2020). To Assess Smart Manufacturing Readiness by Maturity Model: A Case Study On Taiwan Enterprises. International Journal of Computer Integrated Manufacturing, 33(1), 102-115.
  • Mabert, V. A., Soni, A., & Venkataramanan, M. A. (2000). Enterprise resource planning survey of US manufacturing firms. Production and Inventory Management Journal, 41(2), 52-58.
  • Matt, C., Hess, T., & Benlian, A. (2015). Digital Transformation Strategies. Business & Information Systems Engineering, 57(5), 339-343.
  • Molchanova, K. (2020). A Review of Digital Technologies in Aviation Industry. Logistics and Transport, 47(3-4), 69-77.
  • Muthukkumarasamy, V., Blumenstein, M., Jo, J., & Green, S. (2004). Intelligent Illicit Object Detection System For Enhanced Aviation Security. In International Conference on Simulated Evolution and Learning. Busan, Korea.
  • OECD - Organisation for Economic Cooperation and Development (2018). Going Digital in a Multilateral World. https://www.oecd.org/going-digital (Erişim: 11 Kasım 2022)
  • Poon, A. (1993). Tourism, Technology and Competitive Strategies. CAB International. Oxford.
  • Porter, M. (2001). Strategy and the Internet. Harvard Business Review, 79(2), 62–78.
  • Porter, M. E. (1985). Technology And Competitive Advantage. Journal of Business Strategy, 5(3), 60-78.
  • Sahin, M., Kizilaslan, R., & Demirel, Ö. F. (2013). Forecasting Aviation Spare Parts Demand Using Croston Based Methods and Artificial Neural Networks. Journal of Economic and Social Research, 15(2), 1-21.
  • Schwertner, K. (2017). Digital Transformation of Business. Trakia Journal of Sciences, 15(1), 388-393.
  • Şengür, Y. (2010). Havayolu Işletmelerinde Bilgi Sistemleri Stratejik Planlamasi Amaçlarinin, Başari Faktörlerinin Ve Yaklaşimlarinin Belirlenmesine Yönelik Bir Delfi Çalişmasi (Yayımlanmamış Doktora Tezi, Anadolu Üniversitesi).
  • Sheldon, P. (1997). Information Technologies For Tourism. In CAB International. Oxford.
  • Sheldon, P. J. (2004). eTourism: Information Technology For Strategic Tourism Management. Annals of Tourism Research, 31(3), 740-741.
  • Tapscott, D., & Caston, A. (1993). Paradigm shift: The new promise of information technology (Vol. 15). New York: McGraw-Hill.
  • Tapscott, D., Ticoll, D., & Lowy, A. (2000). Digital capital: Harnessing the power of business webs. Ubiquity, 2000(May), 3-es.
  • Trotta, D., & Garengo, P. (2019). Assessing Industry 4.0 maturity: An essential scale for SMEs. In 2019 8th International Conference on Industrial Technology and Management (ICITM), IEEE. 69-74.
  • van Leeuwen, H., Zhang, Y., Zervanou, K., Mullick, S., Kaymak, U., & de Ruijter, T. (2020). Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled. In ICAART (2), 172-181.
  • Verina, N., & Titko, J. (2019). Digital Transformation: Conceptual Framework. In Proceedings of the International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering. 9-10.
  • Werthner, H., & Klein, S. (1999). Information Technology and Tourism — A Challenging Relationship. Springer-Verlag, Vienna
  • Westermann, D. (2013). The Potential Impact of IATA’s New Distribution Capability (NDC) on Revenue Management And Pricing. Journal of Revenue and Pricing Management, 12(6), 565-56.
  • Williams, J. K. (2014). Using Random Forests To Diagnose Aviation Turbulence. Machine Learning, 95(1), 51-70.
  • Yüksek, G. (2013). Bilgi Teknolojilerinin Gelişimi, Seyahat İşletmeleri ve Küresel Dağıtım Sistemi Örneği. Journal of Internet Applications and Management, 4 (1), 53-68.

A Review on Digital Transformation Practices in Airline Companies

Year 2023, , 65 - 82, 28.02.2023
https://doi.org/10.51785/jar.1185935

Abstract

The main research subject of this study is to examine the digital applications used by airline companies as a part of digital transformation in aviation and to reveal how new technologies are combined with these applications. In this context, the effect of new technologies such as blockchain, augmented reality and virtual reality, artificial intelligence, sign technology, robotics, biometrics, big data and analytics, machine learning, internet of things, RFID and barcode-based tracking, GPS tracking, wearable devices, smart sensors is revealed. The impact of these technologies on sales and marketing, operations management, resource management, maintenance management, customer relationship management and cooperation management systems, which are the main activities in airline companies, within the scope of digitalization is also revealed. In addition, considering the value chain analysis for airline companies, the place of digitalization in this chain is discussed within the scope of the study. The impact of digital transformation on the main fields of activity of airline companies has been discussed and it has been evaluated that, despite the cost, their businesses will inevitably be in an effort to digitalize.

References

  • Abeyratne, R. (2017). Megatrends And Air Transport: Legal, Ethical And Economic Issues. Springer International Publishing.
  • Atalay, M., & Çelik, E. (2017). Büyük Veri Analizinde Yapay Zekâ Ve Makine Öğrenmesi Uygulamalari-Artificial Intelligence And Machine Learning Applications In Big Data Analysis. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(22), 155-172.
  • Baki, B., & Serdar, D. (2020). Sanayi 4.0 Olgunluk Modeli Uygulamalari Üzerine Literatür Incelemesi. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi KAÜİİBFD, 11(22), 766-787.
  • Bandara, O. K. K., Tharaka, V. K., & Wickramarachchi, A. P. R. (2019, March). Industry 4.0 Maturity Assessment of the Banking Sector of Sri Lanka. In 2019 International Research Conference on Smart Computing and Systems Engineering (SCSE), Colombo, Sri Lanka, 28 March 2019, IEEE, 190-195.
  • Barnes, S. J. (2002). The Mobile Commerce Value Chain: Analysis And Future Developments. -mInternational journal of information management, 22(2), 91-108.
  • Bingemer, S. (2022). Global Distribution Systems (GDS). In Encyclopedia of Tourism Management and Marketing. 426-429. Edward Elgar Publishing.
  • Buhalis, D. (2004). eAirlines: Strategic And Tactical Use Of ICTs In The Airline Industry. Information & Management, 41(7), 805-825.
  • Cam, A. C., & Durmaz, V. (2018). Dijital Havacilik: Güncel Uygulamalarla Gelecekteki Yolcu Deneyimleri. Electronic Turkish Studies, 13(26).
  • Copeland, D. (1991). So You Want To Build The Next SABRE System. Business Quarterly, 55(33), 56-60. Copeland, D. G., & McKenney, J. L. (1988). Airline Reservations Systems: Lessons From History. MIS Quarterly, 353-370.
  • Çukur, F.T. (2020). Sivil Havacilikta Büyük Veri Teknolojisi Ve Uygulamalari, STM Teknolojik Düşünme Merkezi Araştırma Raporu. https://thinktech.stm.com.tr/uploads/ raporlar/pdf/21202091831971_stm_sivil_havacilikta_buyuk_veri.pdf, Erişim T: 25 Temmuz 2022.
  • Ferguson, G. R. (1983). Aircraft Maintenance Expert Systems. AIR FORCE Institute of Technology Wright-Patterson AFB OH School of Engineering.
  • Fersht, P., & Slaby, J. R. (2012). Robotic automation emerges as a threat to traditional low-cost outsourcing. Horses for Sources, London, 1-18.
  • Frank, B. (2020). Enterprise Resource Planning (ERP) Software in Aviation, https://rotabull.com/blog/erp-for-aviation, Erişim T: 15.12.2022.
  • Gök, M. Ş., 2005, ERP Sistemlerinin Firma Performansına Etkileri Üzerine Bir Saha Araştırması, V. Ulusal Üretim Araştırmaları Sempozyumu, İstanbul Ticaret Üniversitesi, 25-27 Kasım – İstanbul.
  • GSM Association. (2014). Understanding the Internet of Things (IoT). GSMA Connect. Living, 15. Hites, D. (1998). The Digital Economy: Promise and Peril in the Age of Networked Intelligence. Journal of Information Ethics, 7(1), 88.
  • International Air Transport Association. (2019). IATA Global Passenger Survey Highlights (IATA-GPS). https://www.iata.org/en/publications, Erişim T: 22.12.2022.
  • Ismail, N., Ismail, A., & Rahmat, R. A. O. K. (2009). Development Of Expert System For Airport Pavement Maintenance And Rehabilitation. European Journal of Scientific Research, 35(1), 121-129.
  • Jonathan, G. M. (2020). Digital Transformation In The Public Sector: Identifying Critical Success Factors. In Information Systems: 16th European, Mediterranean, and Middle Eastern Conference, EMCIS 2019, Dubai, United Arab Emirates, December 9–10, 2019, Proceedings 16, 223-235. Springer International Publishing.
  • Kalić, M., Dožić, S., & Babić, D. (2012). Predicting Air Travel Demand Using Soft Computing: Belgrade Airport Case Study. 15th Euro Working Group on Transportation. Paris, France.
  • Khan, W. A., Chung, S. H., & Ma, H. L. (2020). Controlling Air Traffic Congestion By Predicting Flight Departure Delays And Duration: Integrating Machine Learning Sampling Techniques And Deep Learning Approaches. In: Transportation Science and Logistics Second Triennial Conference. INFORMS, Washington DC, 1–5.
  • Kim, D., & Marciniak, M. (2001). A Methodology To Predict The Empennage In-Flight Loads Of A General Aviation Aircraft Using Backpropagation Neural Networks. Embry-Riddle Aeronautical Univ., Daytona Beach, FL, USA, Oct. 16–18, 2001.
  • Kowtha, N. R., & Choon, T. W. I. (2001). Determinants Of Website Development: A Study Of Electronic Commerce in Singapore. Information & management, 39(3), 227-242.
  • Kuyucak, F. (2008). Bilgi Teknolojilerinin Havayolu Endüstrisine Etkileri. Kayseri VII. Havacılık Sempozyumu (HaSem’08), 15-16 Mayıs 2008.
  • Kuyucak, F., & Şengür, Y. (2009). Değer Zinciri Analizi. Karamanoğlu Mehmetbey Üniversitesi Sosyal Ve Ekonomik Araştırmalar Dergisi, 2009(1), 132-147.
  • Lee, C. S. (2001). Modeling The Business Value of Information Technology. Information & Management, 39(3), 191-210.
  • Lin, T. C., Wang, K. J., & Sheng, M. L. (2020). To Assess Smart Manufacturing Readiness by Maturity Model: A Case Study On Taiwan Enterprises. International Journal of Computer Integrated Manufacturing, 33(1), 102-115.
  • Mabert, V. A., Soni, A., & Venkataramanan, M. A. (2000). Enterprise resource planning survey of US manufacturing firms. Production and Inventory Management Journal, 41(2), 52-58.
  • Matt, C., Hess, T., & Benlian, A. (2015). Digital Transformation Strategies. Business & Information Systems Engineering, 57(5), 339-343.
  • Molchanova, K. (2020). A Review of Digital Technologies in Aviation Industry. Logistics and Transport, 47(3-4), 69-77.
  • Muthukkumarasamy, V., Blumenstein, M., Jo, J., & Green, S. (2004). Intelligent Illicit Object Detection System For Enhanced Aviation Security. In International Conference on Simulated Evolution and Learning. Busan, Korea.
  • OECD - Organisation for Economic Cooperation and Development (2018). Going Digital in a Multilateral World. https://www.oecd.org/going-digital (Erişim: 11 Kasım 2022)
  • Poon, A. (1993). Tourism, Technology and Competitive Strategies. CAB International. Oxford.
  • Porter, M. (2001). Strategy and the Internet. Harvard Business Review, 79(2), 62–78.
  • Porter, M. E. (1985). Technology And Competitive Advantage. Journal of Business Strategy, 5(3), 60-78.
  • Sahin, M., Kizilaslan, R., & Demirel, Ö. F. (2013). Forecasting Aviation Spare Parts Demand Using Croston Based Methods and Artificial Neural Networks. Journal of Economic and Social Research, 15(2), 1-21.
  • Schwertner, K. (2017). Digital Transformation of Business. Trakia Journal of Sciences, 15(1), 388-393.
  • Şengür, Y. (2010). Havayolu Işletmelerinde Bilgi Sistemleri Stratejik Planlamasi Amaçlarinin, Başari Faktörlerinin Ve Yaklaşimlarinin Belirlenmesine Yönelik Bir Delfi Çalişmasi (Yayımlanmamış Doktora Tezi, Anadolu Üniversitesi).
  • Sheldon, P. (1997). Information Technologies For Tourism. In CAB International. Oxford.
  • Sheldon, P. J. (2004). eTourism: Information Technology For Strategic Tourism Management. Annals of Tourism Research, 31(3), 740-741.
  • Tapscott, D., & Caston, A. (1993). Paradigm shift: The new promise of information technology (Vol. 15). New York: McGraw-Hill.
  • Tapscott, D., Ticoll, D., & Lowy, A. (2000). Digital capital: Harnessing the power of business webs. Ubiquity, 2000(May), 3-es.
  • Trotta, D., & Garengo, P. (2019). Assessing Industry 4.0 maturity: An essential scale for SMEs. In 2019 8th International Conference on Industrial Technology and Management (ICITM), IEEE. 69-74.
  • van Leeuwen, H., Zhang, Y., Zervanou, K., Mullick, S., Kaymak, U., & de Ruijter, T. (2020). Lost and Found: Predicting Airline Baggage At-risk of Being Mishandled. In ICAART (2), 172-181.
  • Verina, N., & Titko, J. (2019). Digital Transformation: Conceptual Framework. In Proceedings of the International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering. 9-10.
  • Werthner, H., & Klein, S. (1999). Information Technology and Tourism — A Challenging Relationship. Springer-Verlag, Vienna
  • Westermann, D. (2013). The Potential Impact of IATA’s New Distribution Capability (NDC) on Revenue Management And Pricing. Journal of Revenue and Pricing Management, 12(6), 565-56.
  • Williams, J. K. (2014). Using Random Forests To Diagnose Aviation Turbulence. Machine Learning, 95(1), 51-70.
  • Yüksek, G. (2013). Bilgi Teknolojilerinin Gelişimi, Seyahat İşletmeleri ve Küresel Dağıtım Sistemi Örneği. Journal of Internet Applications and Management, 4 (1), 53-68.
There are 48 citations in total.

Details

Primary Language Turkish
Subjects Business Administration
Journal Section Review Article
Authors

Cem Harun Meydan 0000-0002-3604-1117

Publication Date February 28, 2023
Acceptance Date February 24, 2023
Published in Issue Year 2023

Cite

APA Meydan, C. H. (2023). Havayolu İşletmelerinde Dijital Dönüşüm Uygulamaları Üzerine Bir İnceleme. Journal of Aviation Research, 5(1), 65-82. https://doi.org/10.51785/jar.1185935

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