Airline Chatbots as Communication Tool Towards Consumer Satisfaction on Pre-Flight Assistance Services
Table 14: Difference between the Effects of Airline Chatbots as a Communication Tool when grouped according to Age
Effects of airline chatbots | Kruskal Wallis (x2) value | p-value | Interpretation |
Automatability | 9.076 | .028 | Significant |
Personalization | 11.598 | .009 | Significant |
Limited Understanding | 1.656 | .647 | Not Significant |
Lack of Emotion | 2.611 | .456 | Not Significant |
Null Decision Making | 1.937 | .586 | Not Significant |