| Literature DB >> 35572321 |
Suk Ha Grace Chan1, Xiaocheng Vicky Zhang1, Yifan Betty Wang1, Zhaofeng Mason Li1.
Abstract
In the context of climate change, this study uncovers the role of green airlines' social responsibility in conjunction with the consumers' switching behavior while considering the effects of latent variables, including green psychology, airline corporate image, green experimental behavior, green service fairness, green alternative attractiveness and switching intention, were examined in the study. In a highly competitive service environment, an organization needs to understand how passengers perceive its corporate image, satisfaction, fairness attractiveness, and behavior of switching intention. The predicted relationship was based on partial least squares structural equation modeling of a convenience sample of 615 valid datasets collected from individuals who used green airline services in China. The findings show that the psychological benefit of greenness, only warm glow, is the main driver of airline corporate image. Furthermore, airline corporate image, green service fairness, and green alternative attractiveness support passengers' green experiential satisfaction. The evidence demonstrates that green experiential satisfaction and green alternative attractiveness have significantly positive effects on switching intention. However, green service fairness has no significant effect on green switching intention. This study contributes to the literature by understanding airline customers' perception of the complex relationship in the green constructs. This finding can help marketers facilitate and develop their external communication and craft their image to retain their existing or potential customers.Entities:
Keywords: alternative attractiveness; experiential satisfaction; green airlines; service fairness; switching intention
Year: 2022 PMID: 35572321 PMCID: PMC9093686 DOI: 10.3389/fpsyg.2022.834351
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Conceptual research model.
Survey respondents’ demographic profiles (n = 615).
| Items | Statistics | Frequency | Percentage |
| Gender | Male | 284 | 46.18 |
| Female | 331 | 53.82 | |
| Age | 18–29 | 334 | 54.31 |
| 30–39 | 72 | 11.71 | |
| 40–49 | 76 | 12.36 | |
| 50–59 | 77 | 12.52 | |
| 60 or above | 56 | 9.11 | |
| Education | High school and below | 66 | 10.73 |
| Diploma or bachelor’s degree | 460 | 74.80 | |
| Master’s degree | 72 | 11.71 | |
| Doctor’s degree and above | 17 | 2.76 | |
| Occupation | Official | 30 | 4.88 |
| Education | 28 | 4.55 | |
| Students | 243 | 39.51 | |
| Sale/marketing | 44 | 7.15 | |
| Services | 44 | 7.15 | |
| Business owner | 32 | 5.20 | |
| Self-employed | 75 | 12.20 | |
| Internet industry | 33 | 5.37 | |
| Retiree | 36 | 5.85 | |
| Others | 50 | 8.13 | |
| Monthly personal income (RMB) | 3000 and below | 238 | 38.70 |
| 3001–6000 | 135 | 21.95 | |
| 6001–9000 | 100 | 16.26 | |
| 9001–12000 | 73 | 11.87 | |
| 12001–15000 | 40 | 6.50 | |
| More than 15000 | 29 | 4.72 | |
| Frequency of choosing green airlines | 1–2 times | 355 | 57.72 |
| 3–4 times | 169 | 27.48 | |
| 4 times or more | 91 | 14.80 |
RMB 6.54 = USD 1.00 (at the time of writing).
Reliability and validity of the construct.
| Constructs | Factor loading | Cronbach’s alpha | CR | AVE |
|
| 0.948 | 0.963 | 0.866 | |
| GA1 | 0.947 | |||
| GA2 | 0.940 | |||
| GA3 | 0.918 | |||
| GA4 | 0.9160 | |||
|
| 0.966 | 0.972 | 0.831 | |
| GCI1 | 0.945 | |||
| GCI2 | 0.911 | |||
| GCI3 | 0.913 | |||
| GCI4 | 0.900 | |||
| GCI5 | 0.903 | |||
| GCI6 | 0.898 | |||
| GCI7 | 0.910 | |||
|
| ||||
| GES1 | 0.935 | 0.959 | 0.969 | 0.860 |
| GES2 | 0.936 | |||
| GES3 | 0.921 | |||
| GES4 | 0.916 | |||
| GES5 | 0.929 | |||
|
| 0.958 | 0.967 | 0.855 | |
| GSF1 | 0.952 | |||
| GSF2 | 0.915 | |||
| GSF3 | 0.923 | |||
| GSF4 | 0.915 | |||
| GSF5 | 0.918 | |||
|
| 0.938 | 0.960 | 0.889 | |
| GSI1 | 0.957 | |||
| GSI2 | 0.937 | |||
| GEI3 | 0.935 | |||
|
| 0.936 | 0.959 | 0.887 | |
| NE1 | 0.955 | |||
| NE2 | 0.931 | |||
| NE3 | 0.939 | |||
|
| 0.937 | 0.960 | 0.889 | |
| SEB1 | 0.956 | |||
| SEB2 | 0.940 | |||
| SEB3 | 0.931 | |||
|
| 0.930 | 0.955 | 0.877 | |
| WG1 | 0.949 | |||
| WG2 | 0.936 | |||
| WG3 | 0.925 | |||
GA, green alternativeness; GCI, airline corporate image; GES, green experiential satisfaction; GSF, green service fairness; GSI, airline switching intention; NE, nature experience; SEB, self-expressive benefits; WG, warm glow; CR, construct reliability; AVE, average variance extracted.
Discriminant validity.
| GA | GCI | GES | GSF | GSI | NE | SEB | WG | |
| GA | 0.930 | |||||||
| GCI | 0.150 | 0.912 | ||||||
| GES | 0.211 | 0.195 | 0.927 | |||||
| GSF | 0.194 | 0.329 | 0.237 | 0.925 | ||||
| GSI | 0.299 | 0.116 | 0.246 | 0.177 | 0.943 | |||
| NE | 0.233 | 0.153 | 0.633 | 0.186 | 0.238 | 0.942 | ||
| SEB | 0.222 | 0.226 | 0.357 | 0.251 | 0.134 | 0.265 | 0.943 | |
| WG | 0.237 | 0.569 | 0.274 | 0.314 | 0.133 | 0.191 | 0.245 | 0.937 |
*The numbers in the diagonal row are square roots of the AVE.
Direct paths.
| Direct paths | Path coefficient | Hypotheses | |||
| H1 | Warm Glow - > Airline Corporate Image | 0.543 | 12.457 | 0.000 | Accepted |
| H2 | Self-Expressive Benefits - > Airline Corporate Image | 0.085 | 1.941 | 0.052 | Rejected |
| H3 | Nature Experience - > Green Corporate Image | 0.026 | 0.627 | 0.531 | Rejected |
| H4 | Airline Corporate Image - > Green Experiential Satisfaction | 0.116 | 2.388 | 0.017 | Accepted |
| H5 | Green Experiential Satisfaction - > Airline Switching Intention | 0.173 | 3.989 | 0.000 | Accepted |
| H6 | Green Service Fairness - > Green Experiential Satisfaction | 0.168 | 3.525 | 0.000 | Accepted |
| H7 | Green Service Fairness - > Airline Switching Intention | 0.088 | 1.908 | 0.057 | Rejected |
| H8 | Green Alternative Attractiveness - > Green Experiential Satisfaction | 0.161 | 3.434 | 0.001 | Accepted |
| H9 | Green Alternative Attractiveness - > Airline Switching Intention | 0.245 | 5.314 | 0.000 | Accepted |
*p < 0.05, **p < 0.01, ***p < 0.001.