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Measuring job satisfaction levels of airport employees using entropy, critic and TOPSIS methods

Author

Listed:
  • Sripathi Kalvakolanu
  • Hanumantha Rao Sama
  • Manoj Mathew
  • D. Somasekhar

Abstract

The paper utilises the combination of entropy, CRITIC and TOPSIS methods to measure the job satisfaction levels of airport employees working in Vijayawada International Airport, India. To assess satisfaction levels of employees towards the job, a shorter variant of the Minnesota Satisfaction Questionnaire (MSQ) is employed and multi-criteria decision-making (MCDM) method is applied. The study results show that there is a highly significant positive relationship between the weights obtained by entropy and CRITIC method. The application of the presented approach to evaluate job satisfaction level in airport employees is a novel one. Thus, the findings of the study would lead the literature in the domain further as well as help in giving better decision-making capabilities to the airport authorities and managers. With this methodology, the perceptual opinions expressed by the employees can be quantified and judged accordingly.

Suggested Citation

  • Sripathi Kalvakolanu & Hanumantha Rao Sama & Manoj Mathew & D. Somasekhar, 2022. "Measuring job satisfaction levels of airport employees using entropy, critic and TOPSIS methods," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 27(1), pages 1-22.
    • Handle: RePEc:ids:ijbexc:v:27:y:2022:i:1:p:1-22
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    Cited by:

    1. Phi-Hung Nguyen, 2023. "A Fully Completed Spherical Fuzzy Data-Driven Model for Analyzing Employee Satisfaction in Logistics Service Industry," Mathematics, MDPI, vol. 11(10), pages 1-34, May.

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