
Enhancing Customer Satisfaction in the Airline Industry: A Case Study of Delta Airlines
- 1 Colorado State University
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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.
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Volume title: Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
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