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Journals / Journal of Transportation and Logistics / 2017 / Cilt: 2 - Sayı: 1

The Value of Decision Making to the Airlines: An Analysis of Passenger Preferences on Check-ins

Havayolları İçin Karar Vermenin Değeri: Check-in'lerde Yolcu Tercihlerinin Bir Analizi

Doğuş AYGÜN
İlker YILMAZ
Sevinç GÜLSEÇEN
Pages
1–10
Publication Date
2017-04-28
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Hence, some decisions are made based on that analysis.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The nature of business environment in airports has made speed of operations crucial.
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Key Findings & Data:Airline companies offer many methods for check-in processes to the passengers and along with that there has been a huge increase in usage of self-check-ins.
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Conclusion & Impact:Hence, some decisions are made based on that analysis.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Karar Verme · Havayolu · Check-In

Abstract

The nature of business environment in airports has made speed of operations crucial. From this standpoint, check-in areas in airports have become the most important place for monitoring the speed of operations. Airline companies offer many methods for check-in processes to the passengers and along with that there has been a huge increase in usage of self-check-ins. In this phase, decision making comes into play. This study is an attempt to reveal the value decision making for the airlines by analysing the passenger preferences on check-ins. Based on the quantitative data, correlational analysis method is performed and RStudio is used for all computations. Hence, some decisions are made based on that analysis.

Özet

Havalimanlarındaki iş ortamının doğası operasyonların hızını önemli hale getirmiştir. Bu noktadan hareketle, havalimanlarındaki check-in alanları operasyonların hızının gözlemlenmesi için en önemli yer haline gelmiştir. Havayolu şirketleri check-in işlemleri için yolculara birçok yöntem sunmakla beraber self-check-in’lerde büyük bir artış söz konusudur. Bu aşamada karar verme devreye girmektedir. Bu çalışma, check-in’lerde yolcu tercihlerini analiz ederek havayolları için karar vermenin değerini ortaya koymaya yönelik bir girişimdir. Sayısal veriye dayanarak korelasyonel analiz yöntemi uygulanmış ve tüm hesaplamalarda RStudio kullanılmıştır. Sonuç olarak, bu analize dayanarak bazı kararlar verilmiştir.

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Cite This Article

AYGÜN, D., YILMAZ, İ., GÜLSEÇEN, S. (2017). The Value of Decision Making to the Airlines: An Analysis of Passenger Preferences on Check-ins. Journal of Transportation and Logistics, Cilt: 2 - Sayı: 1, 1–10. https://ajindex.com/articles/75244

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References (9)

  1. Adeoti‐Adekeye, W. B. (1997). The importance of management information systems. Library Review, 46(5), 318–327. https://doi.org/10.1108/00242539710178452
  2. Asemi, A., Safari, A., & Zavareh, A. A. (2011). The Role of Management Information System (MIS) and Decision Support System (DSS) for Manager’s Decision Making Process. International Journal of Business and Management, 6(7), 164–173. https://doi.org/10.5539/ijbm.v6n7p164
  3. Banerjee, A. (2005). Financial Accounting. New Delhi: Excel Books India. Barich, F. (2011). Guide to the Decision-Making Tool for Evaluating Passenger Self-Tagging (Airport Cooperative Research Program (ACRP) No. 41). Washington, D.C.: Transportation Research Board. Bewick, V., Cheek, L., & Ball, J. (2003). Statistics review 7: Correlation and regression. Critical Care, 7(6), 451. https://doi.org/10.1186/cc2401
  4. Bruce, P. J. (2016). Understanding Decision-making Processes in Airline Operations Control. New York, NY: Routledge. Chang, H.-L., & Yang, C.-H. (2008). Do airline self-service check-in kiosks meet the needs of passengers? Tourism Management, 29(5), 980–993. https://doi.org/10.1016/j.tourman.2007.12.002
  5. Curry, A., Flett, P., & Hollingsworth, I. (2006). Managing Information and Systems: The business perspective. London&New York: Routledge. Edwards, B. (2005). The Modern Airport Terminal: New Approaches to Airport Architecture. London: Spon Press.
  6. Gross, S., & Schröder, A. (2007). Handbook of Low Cost Airlines: Strategies, Business Processes and Market Environment. Berlin: Erich Schmidt Verlag GmbH & Co. Halpern, N., & Graham, A. (2013).
  7. Airport Marketing. New York, NY: Routledge. Hauke, J., & Kossowski, T. (2011). Comparison of Values of Pearson’s and Spearman’s Correlation Coefficients on the Same Sets of Data. Quaestiones Geographicae, 30(2). https://doi.org/10.2478/v10117-011-0021-1
  8. Helsel, D. R., & Hirsch, R. M. (1992). Statistical Methods in Mater Resources. Amsterdam: Elsevier. Holmes, W. H., & Rinaman, W. C. (2014). Statistical Literacy for Clinical Practitioners. Switzerland: Springer. Hung, Y.-F., & Chen, C.-H. (2013). An effective dynamic decision policy for the revenue management of an airline flight. International Journal of Production Economics, 144(2), 440–450. https://doi.org/10.1016/j.ijpe.2013.03.012
  9. Jawadekar, W. S. (2013). Management Information Systems: Text and Cases: a Global Digital Enterprise Perspective (5th ed.). New Delhi: McGraw Hill Education. Kisielnicki, J. A., & Gwiazda, E. (2007). How the Application