The Impact of Hedonic and Utilitarian Values on Airline App Users' Recommendation Behavior and Repurchase Intention
Bibliographic Data
| ID | 21677611 |
|---|---|
| Authors | İnci POLAT (0000-0003-4052-2009, Sağlık Bilimleri Üniversitesi), İbrahim Halil SEYREK (0000-0002-0125-2475, Sağlık Bilimleri Üniversitesi) |
| Year | 2022 |
| Volume | 21 |
| Issue | 1 |
| Pages | 419-430 |
| Publication date | 2022-01-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Gaziantep University Journal of Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 1303-0094 |
| Publisher | Gaziantep University Journal of Social Sciences (PUBLISHER) |
| DOI | 10.21547/jss.993435 |
| OpenAlex | W4210667404 |
| Language | EN |
| References cited | 64 |
The purpose of this study is to examine the effect of hedonic and utilitarian value on recommendation (word-of-mouth and electronic word-of-mouth) and repurchase intention. For this purpose, it is collected data from the airline passengers who actively use the airline app. By using a convenience sampling method, data were collected from 122 airline app users. The reliability analysis, confirmatory factor analysis will be applied to the data obtained in order to determine the factors that make up the dimensions in the research model. The relationship in the research model provided in the study is evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results of the study indicated that both hedonic value and utilitarian value have positive effects on air passengers’ recommendation behavior. However, it shows that only utilitarian value has a positive significant effect on repurchase intention whereas hedonic value doesn’t have a significant effect on the study
Advertising · Business · Confirmatory factor analysis · Data collection · Statistics · Structural equation modeling · Word of mouth · Customer Service Quality and Loyalty · Digital Marketing and Social Media · Mathematics · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing
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| Citation velocity | historical |
|---|---|
| Highly cited | No |