Dergiler / Journal of Aviation / 2023 / Cilt: 7 Sayı: 3

Analyzing Criteria Affecting Decision-Making Processes of Human Resource Management in the Aviation Sector - A Fuzzy Logic Approach

Sayfa
376–387
Yayın Tarihi
2023-11-15
DOI
—
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This finding emphasizes the pivotal role of employee satisfaction in shaping HRM strategies and outcomes within aviation organizations.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In today's fast-paced and ever-changing business landscape, effective decision-making is paramount to achieving success and maintaining a competitive edge.
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Temel Bulgular & Veri:This holds particularly true in the aviation sector, where Human Resource Management (HRM) plays a pivotal role in optimizing workforce performance and ensuring operational efficiency.
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Sonuç & Katkı:This finding emphasizes the pivotal role of employee satisfaction in shaping HRM strategies and outcomes within aviation organizations.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Human Resource Management · Aviation · Fuzzy Logic

Abstract

In today's fast-paced and ever-changing business landscape, effective decision-making is paramount to achieving success and maintaining a competitive edge. This holds particularly true in the aviation sector, where Human Resource Management (HRM) plays a pivotal role in optimizing workforce performance and ensuring operational efficiency. However, HRM decision-making processes are often confronted with multifaceted challenges that encompass various criteria and encompass both objective and subjective factors. To tackle this complexity, a novel and adaptive approach is needed. In this study, we employ a Fuzzy Logic Approach to analyze the criteria influencing decision-making processes in HRM within the aviation sector, aiming to provide a comprehensive and flexible decision-support system for HRM practitioners and contribute to the sector's overall performance and success. The contribution of this study lies in its innovative application of Fuzzy Logic to HRM decision-making in the aviation sector. By capturing the inherent uncertainties and vagueness that HRM practitioners encounter, the proposed Fuzzy Logic-based model offers a more robust and context-sensitive decision-support system. Based on the Fuzzy Logic application and sensitivity analysis, the findings reveal the significance of employee satisfaction as the most influential criterion in HRM decision-making within the aviation sector. The Fuzzy Logic model demonstrated a strong positive correlation between high employee satisfaction levels and favorable HRM Decision Outcomes. This finding emphasizes the pivotal role of employee satisfaction in shaping HRM strategies and outcomes within aviation organizations.

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Bu Makaleye Atıf Yap

MIZRAK, F. (2023). Analyzing Criteria Affecting Decision-Making Processes of Human Resource Management in the Aviation Sector - A Fuzzy Logic Approach. Journal of Aviation, Cilt: 7 Sayı: 3, 376–387. https://ajindex.com/articles/970203

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Kaynakça (7)

  1. Armstrong, M., & Taylor, S. (2023). Armstrong's Handbook of Human Resource Management Practice: A Guide to the Theory and Practice of People Management. Kogan Page Publishers.
  2. Benkarim, A., & Imbeau, D. (2022). Exploring Lean HRM Practices in the Aerospace Industry. Sustainability, 14(9), 5208 Bhagyalakshmi, R., & Maria, E. F. (2021). Artificial intelligence and HRM: an empirical study on decision-making skills of HR through AI in HRM Practices. Annals of the Romanian Society for Cell Biology, 25(6), 11568-11578.
  3. Çakır, E., & Ulukan, Z. (2021). Digitalization on Aviation 4.0: Designing a Scikit-Fuzzy control system for in-flight catering customer satisfaction. In Intelligent and Fuzzy Techniques in Aviation 4.0: Theory and Applications (pp. 123-146). Cham: Springer International Publishing. de Andreis, F., Comite, U., Sottoriva, F. M., & Cova, I. (2022, October). Human resources management and training in aviation. In International Conference on Reliability and Statistics in Transportation and Communication (pp. 510-522). Cham: Springer International Publishing. Demirel, Z., & Çubukçu, C. (2021). Measurement of employees on human resources with fuzzy logic. EMAJ: Emerging Markets Journal, 11(2), 1-7. Dožić, S. (2019). Multi-criteria decision making methods: Application in the aviation industry. Journal of Air Transport Management, 79, 101683. Gelard, P., Naghavi, S., & Mohebbi, S. (2022). Designing the Performance Management Model for Employees in the National Aviation Industry. Journal of Research in Human Resources Management, 14(2), 155-181.
  4. Harvey, G., & Turnbull, P. (2020). Ricardo flies Ryanair: Strategic human resource management and competitive advantage in a Single European Aviation Market. Human Resource Management Journal, 30(4), 553-565.
  5. Hendiani, S., & Bagherpour, M. (2019). Developing an integrated index to assess social sustainability in construction industry using fuzzy logic. Journal of cleaner production, 230, 647-662.
  6. Kimseng, T., Javed, A., Jeenanunta, C., & Kohda, Y. (2020). Applications of fuzzy logic to reconfigure human resource management practices for promoting product innovation in formal and non-formal R&D firms. Journal of Open Innovation: Technology, Market, and Complexity, 6(2), 38. Kizilcan, S., & Mizrak, K. C. (2022). An Airline Application on Burnout Syndrome in Pilots. Fiscaoeconomia, 6(2), 895-908.
  7. Lasisi, T. T., Ozturen, A., Eluwole, K. K., & Avci, T. (2020). Explicating innovation-based human resource management's infl