Airports have evolved into service-oriented businesses that must meet the diverse needs of the passengers. The increased demand for air travel comes with additional pressure to the airports. Passengers from diverse backgrounds have unique expectations...
Airports have evolved into service-oriented businesses that must meet the diverse needs of the passengers. The increased demand for air travel comes with additional pressure to the airports. Passengers from diverse backgrounds have unique expectations, making service quality at the airport a top priority but a challenge. This study sought to examine how the dimensions of airport service quality, service orientation, technological innovation, environmental sustainability, and external contextual factors affect passengers’ perceived value. Also, the study sought to assess the extent to which passengers’ perceived value mediates the relationship between airport service quality and customer satisfaction. And to assess how customer satisfaction influences the dimensions of airport corporate image, including trust and reliability, innovation perception, and sustainability reputation? The researcher employed a quantitative research design to test the hypothesis. A total of 213 respondents completed and submitted the survey in time. The correlation coefficients for the associations between airport service quality variables (service orientation, technological innovation, environmental sustainability, and external contextual factors) with perceived passenger value were 0.374, 0.265, 0.377 and 0.411, respectively. The findings revealed strong positive statistically significant correlation between passenger perceived value and sustainability reputation (0.533, 0.000), but weak positive correlations with other corporate image variables (trust and reliability, and innovation perception). The structural equation model reveals that paths for service orientation (t = 3.483, p = 0.000), technological innovation (t = 2.335, p = 0.020), and external contextual factors (t = 2.718, p = 0.007) are statistically significant. That implies, there are statistically positive associations between the above variables and customer satisfaction. These findings provide a blueprint that can be used by the management at airports to improve service delivery and customer satisfaction. The following hypotheses are not rejected: H3a, H3b, and H3c.
Keywords airport service quality, perceived value, customer satisfaction, corporate image, sustainability, mediation, post-covid, structural equation modeling.