Research Article
Open access
Published on 1 December 2023
Download pdf
Ma,X. (2023). Enhancing Customer Satisfaction in the Airline Industry: A Case Study of Delta Airlines. Advances in Economics, Management and Political Sciences,46,81-88.
Export citation

Enhancing Customer Satisfaction in the Airline Industry: A Case Study of Delta Airlines

Xinhe Ma *,1,
  • 1 Colorado State University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/46/20230320

Abstract

Customer satisfaction plays an increasingly important role as it drives customer loyalty, fosters positive brand image, and provides a competitive advantage. Airlines that prioritize customer satisfaction are better positioned to thrive in a highly competitive market, attract and retain customers, and achieve long-term success. This paper focuses on enhancing customer satisfaction in the airline industry, with a specific case study of Delta Airlines. The study utilizes sentiment analysis techniques to analyze customer reviews from Skytrax and conducts a comprehensive SWOT analysis. Based on the analysis, targeted suggestions are provided to Delta, including leveraging technology to reduce the negative impact of delays, establishing uniform service standards, broadening global networks and partnerships, committing to sustainability and ESG initiatives, and ensuring quick responses to policy changes. However, the study acknowledges limitations such as reliance on a single data platform, the subjective nature of sentiment analysis, and the oversimplification inherent in SWOT analysis.In all, this study helps Delta to improve its customer satisfaction and contributes an research example to explore customer satisfaction in the airline industry.

Keywords

customer satisfaction, airline industry, Delta Airlines

[1]. Forgas, S., Tena, M. Á. M., Sánchez, J., & Martín, R. P. (2010). Antecedents of airline passenger loyalty: Low-cost versus traditional airlines. Journal of Air Transport Management, 16(4), 229–233.

[2]. Chow, C. Y. (2015). On-time performance, passenger expectations and satisfaction in the Chinese airline industry. Journal of Air Transport Management, 47, 39–47.

[3]. Namukasa, J. (2013). The influence of airline service quality on passenger satisfaction and loyalty. The Tqm Journal, 25(5), 520–532.

[4]. Hotho, A., Nürnberger, A., & Paaß, G. (2005). A brief survey of text mining. Journal for Language Technology and Computational Linguistics, 20(1), 19-62.

[5]. Wilson, T., Wiebe, J., & Hoffmann, P. (2005). Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of human language technology conference and conference on empirical methods in natural language processing (pp. 347-354).

[6]. Helms, M. M., & Nixon, J. (2010). Exploring SWOT analysis – where are we now? Journal of Strategy and Management, 3(3), 215–251.

[7]. Namugenyi, C., Nimmagadda, S. L., & Reiners, T. (2019). Design of a SWOT Analysis Model and its Evaluation in Diverse Digital Business Ecosystem Contexts. Procedia Computer Science, 159, 1145–1154.

[8]. Delta named Best Overall Customer Service Airline by Business Traveler USA (2023). Delta News Hub. Retrieved from https://news.delta.com/delta-named-best-overall-customer-service-airline-business-traveler-usa.

[9]. Chakrabarty, N. (2019). A Data Mining Approach to Flight Arrival Delay Prediction for American Airlines. 2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON), Jaipur, India (pp. 102-107).

[10]. Amankwah-Amoah, J. (2020). Stepping up and stepping out of COVID-19: New challenges for environmental sustainability policies in the global airline industry. Journal of Cleaner Production, 271, 123000.

Cite this article

Ma,X. (2023). Enhancing Customer Satisfaction in the Airline Industry: A Case Study of Delta Airlines. Advances in Economics, Management and Political Sciences,46,81-88.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Conference website: https://www.icftba.org/
ISBN:978-1-83558-139-1(Print) / 978-1-83558-140-7(Online)
Conference date: 8 November 2023
Editor:Javier Cifuentes-Faura
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.46
ISSN:2754-1169(Print) / 2754-1177(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).