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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64373

Effect of Flight Delays on Passenger Satisfaction

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64373

Volume:

10 |

5 |

May 2026

Pages:

1-15

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64373

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

Sakshi Singh

Management Studies

Galgotias University

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Mentors

DPS

Dr. Priya Singh

Management Studies

Galgotias University

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Abstract

Flight disruptions represent a significant operational and financial challenge in modern commercial aviation, directly threatening airline brand equity and customer retention. This empirical study investigates the multifaceted impacts of flight delays on passenger satisfaction within the Indian domestic aviation sector. Utilizing a mixed-method research design, this study examines how four distinct dimensions of flight delays— namely, Delay Duration, Airline Communication Quality, Ground Staff Empathy, and Compensatory Remediation—influence overall passenger satisfaction and subsequent behavioral intentions (brand loyalty and word-of-mouth). Primary quantitative data was harvested via a structured, 5-point Likert scale questionnaire administered to N = 384 domestic airline passengers who had experienced operational delays greater than 30 minutes within the past six months. Secondary data was compiled from Director General of Civil Aviation (DGCA) monthly air traffic reports to contextualize market-wide on-time performance (OTP). Advanced statistical analysis, including Pearson Correlation and Multiple Linear Regression, was executed via SPSS to test the conceptual framework. The empirical findings reveal a profound negative correlation between delay duration and passenger satisfaction (r = -0.684, p < 0.001). Crucially, regression modeling demonstrates that Airline Communication Quality (\beta = 0.412, p < 0.001) and Ground Staff Empathy (\beta = 0.356, p < 0.001) exert a more potent mitigating effect on passenger dissatisfaction than financial or material Compensatory Remediation (\beta = 0.188, p < 0.05). The structural insights generated from this research provide aviation executives and station managers with tactical, data-driven frameworks to re-engineer ground operational strategies, optimize real-time crisis communication protocols, and insulate passenger lifetime value from inevitable operational friction.

KEYWORDS

Flight Delays Passenger Satisfaction Aviation Management DGCA Real-Time Communication Ground Handling Service Recovery.

Cite This Article

Sakshi Singh, Dr. Priya Singh, "Effect of Flight Delays on Passenger Satisfaction," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-15, May 2026. https://doi.org/10.55041/IJSREM64373

Full Article/Conclusion

Theoverarching objective ofthis masterthesis was to systematically isolate, evaluate, and quantify the functional relationships governing operational flight delays and passenger satisfaction within the rapidly evolving Indian domestic aviation market. By applying an advanced econometric approach through multiple linear regression analysis, this study went beyond standard operational metrics to investigate the psychological and behavioral elements of service recovery. The empirical data (N = 384) provides clear confirmation of several key trends in consumer behavior during operational crises:                         The Baseline Impact of Delays: First, the acceptance of Alternative Hypothesis H_a1 (\beta = -0.512, p < 0.001) confirms that delay duration remains a primary driver of consumer dissatisfaction. This finding aligns with established Expectancy Disconfirmation principles, showing that time unexpected or lost creates an immediate cognitive imbalance for the passenger.    The Power of Communication: Second, and perhaps most crucially for airline management, the statistical models show that Communication Quality acts as the most powerful lever to improve passenger satisfaction during a delay (\beta = 0.412, p < 0.001). This strong positive relationship proves that while passengers are highly frustrated by scheduling disruptions, their ultimate satisfaction with the brand is determined by how transparently and regularly the airline shares information.    The Role of Interpersonal Service: Third, the confirmation of H_a3 (\beta = 0.356, p < 0.001) establishes that frontline Ground Staff Empathy is a vital defensive asset for an airline during extended disruptions. When customer service agents demonstrate high emotional intelligence and active problem-solving, they serve as an effective psychological buffer, significantly lowering customer anger.    The Limits of Material Perks: Finally, the rejection of Null Hypothesis H_04 proves that material perks— such as snacks or meal vouchers—have a much weaker impact on overall passenger satisfaction (\beta = 0.188, p = 0.007) than clear, empathetic communication. This represents a key insight for airline operations: modern travelers value honest information and professional service handling far more than standard tangible compensations.

References

   Boulding, W., Kalra, A., Staelin, R., & Zeithaml, V. A. (1993). A dynamic process model of service quality: From expectations to behavioral intentions. *Journal of Marketing Research*, 30(1), 7-27.      Bitner, M. J. (1990). Evaluating service encounters: The effects of physical surroundings and employee responses. *Journal of Marketing*, 54(2), 69-82.      Director General of Civil Aviation (DGCA). (2025). *Air Traffic Performance and Consumer Grievance Analysis Annual Report*. Ministry of Civil Aviation, Government of India.        Grönroos, C. (1984). A service quality model and its marketing implications. *European Journal of Marketing*, 18(4), 36-44.       Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. *Journal of Marketing Research*, 17(4), 460-469.        Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. *Journal of Retailing*, 64(1), 12-40.      Tax, S. S., Brown, S. W., & Chandrashekaran, M. (1998). Customer evaluations of service complaint experiences: Implications for relationship marketing. *Journal of Marketing*, 62(2), 60-76.       Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. *Journal of Marketing*, 60(2), 31-46.

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Publication Date

6/1/2026

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Double-Blind Peer Review

Review Rounds: 2

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