The Relationship Between Service Quality and Customer Satisfaction in the Airline Industry: A Meta-Analysis Study

The Relationship Between Service Quality and Customer Satisfaction in the Airline Industry: A Meta-Analysis Study

DOI: 10.4018/978-1-6684-6607-0.ch011
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

This chapter aims to examine the relationship between service quality and customer satisfaction in the airline industry through a meta-analysis. To this end, a protocol was applied following the PRISMA 2009 guidelines, and the author analyzed 14 studies with a total sample size of 6552 eligible for analysis from the Web of Science (WoS) database. In this chapter, the “Fisher z” transformation was used to calculate the overall effect size. Due to the heterogeneity of the studies' effect sizes, the random effect model was used as the analysis model. The results revealed that publication bias does not pose a significant threat. In addition, a strong positive relationship between service quality and customer satisfaction was established (Cohen's d=0.765, 95% confidence interval [CI] 0.641, 0.888). This chapter contributes to the literature by increasing the validity of the existing studies and determining the overall effect size of the relationship between variables of interest by integrating the findings of 14 studies from the research domain.
Chapter Preview
Top

Introduction

Service quality has been a critical consideration for airlines in the competitive global market (Shah et al., 2020). As such, providing superior service is essential for airlines to remain competitive in the market. Providing high-quality service is a requirement for airlines and helps customers stay loyal to the airline. Furthermore, ensuring customer satisfaction, which is decisive in the success of airlines, depends on the high-quality service delivery of airlines (Hussain et al., 2015). Customer satisfaction is one of the important criteria for the performance of profit-oriented organizations, especially airlines. Therefore, airlines attach importance to providing high-quality service to increase customer satisfaction and ultimately improve their revenues (Chow & Fung, 2018).

Given the highly competitive and demanding nature of the airline industry today, many airlines prioritize service quality to maximize customer satisfaction (Basfirinci & Mitra, 2015). As service quality is key to the survival of airlines and customer satisfaction is a crucial marketing outcome due to its impact on customer loyalty and purchase intention, these concepts have drawn the attention of practitioners and academics (Ali et al., 2015). As such, the relationship between service quality and customer satisfaction has also been frequently studied in the airline industry in different contexts (Hapsari et al., 2017; Hussain et al., 2015; Shah et al., 2020; Shen & Yahya, 2021; Suki, 2014). Sanchez-Rebull et al. (2018), at this point, suggested that service quality is one of the key antecedents of customer satisfaction. However, when the literature is examined, it is observed that scholars deal with the relationship between service quality and customer satisfaction through different business models, different geographical regions, and different sample sizes. Independent investigations on a similar topic in social and behavioral sciences generally lead to mixed findings (Sarkar et al., 2020). To overcome this shortcoming, meta-analysis attempts to discover the truth by statistically combining all studies that focus on conceptually similar relationships (Tamilmani et al., 2019). When the link between service quality and customer satisfaction in the airline industry is examined, no work has been identified that investigates the total effect size of this relationship by reviewing the existing literature. Therefore, this chapter aims to integrate the findings of independent studies with the meta-analysis approach in order to calculate the overall effect size of service quality on customer satisfaction in the global airline industry. The research questions that this chapter seeks to answer are:

  • Does service quality have an effect on customer satisfaction?

  • What is the overall effect size of the relationship between service quality and customer satisfaction?

While the body of knowledge on the airline industry can be traced back decades, there has been no effort to summarize the findings on this relationship in the literature quantitatively. Therefore, this chapter has the potential to provide a literature-needed summary of the relationship between current critical variables.

Key Terms in this Chapter

Meta-Analysis: It is a statistical method that reinterprets the results of numerous independent studies on a particular subject by statistically integrating them.

Fisher z Transformation: The Fisher z transformation is an approach that transforms the sample distribution of the Pearson correlation coefficient ( r ) so that it is normally distributed.

Effect Size: A quantitative measure of the magnitude of the relationship between two variables in a population.

Customer Satisfaction: Happiness-inducing judgments of consumers regarding their post-purchase consumption experiences.

Service quality: Cognitive evaluation is based on comparing the expectations of consumers with the actual service performance they encounter throughout service delivery.

Complete Chapter List

Search this Book:
Reset