IDEAS home Printed from https://ideas.repec.org/a/eee/jaitra/v80y2019ic7.html
   My bibliography  Save this article

Stress among ab-initio pilots: A model of contributing factors by AHP

Author

Listed:
  • Kilic, Bilal
  • Ucler, Caglar

Abstract

Human error in the cockpit triggers a chain of incidences, which might lead in aviation to fatal consequences. Indeed, it is the highest contributor to aviation accidents, where stress is correlated positively. Despite the large research base for commercial or military pilots, there is no study related to the workplace stressors of ab-initio pilots. With these considerations in mind, the present study is set out to explore stress factors among ab-initio pilots in the university. For this purpose, stressors were isolated and assessed by interviews with flight instructors. Then, the analytical hierarchy process (AHP) is applied to weigh those stressors among ab-initio pilots. A hierarchy was built with 3 criteria and 12 sub-criteria. Results showed that the most important criterion in stress among ab-initio pilots is personal factors, followed by organizational factors and environmental factors. Furthermore, the results revealed that the first four stressors within the global ranking were determined as the lack in body of knowledge, meteorological conditions, personality, and facilities and the fleet with the weights of 0.195, 0.154, 0.11 and 0.109. This work is unique due to its coverage of ab-initio pilots, and the results presented here may facilitate improvements in the evaluation of individual ab-initio pilots and the teaching environment for stress contributing factors.

Suggested Citation

  • Kilic, Bilal & Ucler, Caglar, 2019. "Stress among ab-initio pilots: A model of contributing factors by AHP," Journal of Air Transport Management, Elsevier, vol. 80(C), pages 1-1.
  • Handle: RePEc:eee:jaitra:v:80:y:2019:i:c:7
    DOI: 10.1016/j.jairtraman.2019.101706
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969699719301528
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jairtraman.2019.101706?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daramola, Adebukola Yewande, 2014. "An investigation of air accidents in Nigeria using the Human Factors Analysis and Classification System (HFACS) framework," Journal of Air Transport Management, Elsevier, vol. 35(C), pages 39-50.
    2. Pantzalis, Christos & Stangeland, David A. & Turtle, Harry J., 2000. "Political elections and the resolution of uncertainty: The international evidence," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1575-1604, October.
    3. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    4. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    5. Chen, Chen-Cheng & Chen, Jenny & Lin, Pei-Chun, 2009. "Identification of significant threats and errors affecting aviation safety in Taiwan using the analytical hierarchy process," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 261-263.
    6. John Goodell & Richard Bodey, 2012. "Price-earnings changes during US presidential election cycles: voter uncertainty and other determinants," Public Choice, Springer, vol. 150(3), pages 633-650, March.
    7. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    8. Havle, Celal Alpay & Kılıç, Bilal, 2019. "A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 21-30.
    9. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    10. Brandon Julio & Youngsuk Yook, 2012. "Political Uncertainty and Corporate Investment Cycles," Journal of Finance, American Finance Association, vol. 67(1), pages 45-84, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    2. Jamali, Narjes & Feylizadeh, Mohammad Reza & Liu, Peide, 2021. "Prioritization of aircraft maintenance unit strategies using fuzzy Analytic Network Process: A case study," Journal of Air Transport Management, Elsevier, vol. 93(C).
    3. Zahra Shams Esfandabadi & Meisam Ranjbari & Simone Domenico Scagnelli, 2023. "Prioritizing Risk-level Factors in Comprehensive Automobile Insurance Management: A Hybrid Multi-criteria Decision-making Model," Global Business Review, International Management Institute, vol. 24(5), pages 972-989, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2016. "Wind farm siting using a spatial Analytic Hierarchy Process approach: A case study of the Städteregion Aachen," Applied Energy, Elsevier, vol. 163(C), pages 222-243.
    2. Goodell, John W. & Vähämaa, Sami, 2013. "US presidential elections and implied volatility: The role of political uncertainty," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 1108-1117.
    3. Pham, Huy Nguyen Anh & Ramiah, Vikash & Moosa, Nisreen & Huynh, Tam & Pham, Nhi, 2018. "The financial effects of Trumpism," Economic Modelling, Elsevier, vol. 74(C), pages 264-274.
    4. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    5. Ghulam Ghouse & Aribah Aslam & Muhammad Ishaq Bhatti, 2021. "Role of Islamic Banking during COVID-19 on Political and Financial Events: Application of Impulse Indicator Saturation," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    6. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.
    7. Chang, Chiung-Ting, 2017. "Risk factors associated with flying in adverse weather: From the passengers' point of view," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 68-75.
    8. Baghersad, Milad & Zobel, Christopher W., 2015. "Economic impact of production bottlenecks caused by disasters impacting interdependent industry sectors," International Journal of Production Economics, Elsevier, vol. 168(C), pages 71-80.
    9. Aniruddh Nain & Deepika Jain & Shivam Gupta & Ashwani Kumar, 2023. "Improving First Responders' Effectiveness in Post-Disaster Scenarios Through a Hybrid Framework for Damage Assessment and Prioritization," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 409-437, September.
    10. Weiliang Qiao & Yu Liu & Xiaoxue Ma & Yang Liu, 2020. "Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network," Risk Analysis, John Wiley & Sons, vol. 40(5), pages 957-980, May.
    11. Marcelin, Isaac & Stephen, Sheryl-Ann K. & Fanta, Fassil & Tecklezion, Mussie, 2019. "Political regimes, investment and electoral uncertainty," Research in International Business and Finance, Elsevier, vol. 47(C), pages 580-599.
    12. Bree J. Lang & Pratish Patel, 2023. "Funding infrastructure under uncertainty: evidence from tax credit prices," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(3), pages 635-677, June.
    13. Chen, Jeng-Chung & Yu, Vincent F., 2018. "Relationship between human error intervention strategies and unsafe acts: The role of strategy implementability," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 112-122.
    14. Grochmal Stanislaw, 2014. "Mental and cultural changes of enterprise management in accordance with the paradigm of unity," Journal for Perspectives of Economic Political and Social Integration, Sciendo, vol. 20(1), pages 105-134, January.
    15. Gerda Ana Melnik-Leroy & Gintautas Dzemyda, 2021. "How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases," Mathematics, MDPI, vol. 9(2), pages 1-25, January.
    16. Kwabi, Frank Obenpong & Boateng, Agyenim & Wonu, Chizindu & Kariuki, Charles & Du, Anna, 2023. "Political uncertainty and cross-border equity portfolio allocation decisions: International evidence," International Review of Financial Analysis, Elsevier, vol. 87(C).
    17. Chan, Kam Fong & Gray, Philip & Gray, Stephen & Zhong, Angel, 2020. "Political uncertainty, market anomalies and Presidential honeymoons," Journal of Banking & Finance, Elsevier, vol. 113(C).
    18. Mehdi Tavakoli & Mehdi Nafar, 2021. "Modification of the FFTA method for calculating and analyzing the human reliability of maintenance groups in power transmission grids," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1221-1234, December.
    19. Kang Xu & Jiuping Xu, 2020. "A direct consistency test and improvement method for the analytic hierarchy process," Fuzzy Optimization and Decision Making, Springer, vol. 19(3), pages 359-388, September.
    20. Kaptan, Mehmet & Uğurlu, Özkan & Wang, Jin, 2021. "The effect of nonconformities encountered in the use of technology on the occurrence of collision, contact and grounding accidents," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jaitra:v:80:y:2019:i:c:7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-air-transport-management/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.