Open AccessIdentifying the effect of emotions in government-citizen online (G2C) tourism based on the HEART metrics
Author(s) -
Tri Lathif Mardi Suryanto,
Akhmad Fauzi,
Djoko Budiyanto Setyohadi
Publication year - 2021
Publication title -
international journal of data and network science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.296
H-Index - 7
eISSN - 2561-8156
pISSN - 2561-8148
DOI - 10.5267/j.ijdns.2021.8.003
Subject(s) - government (linguistics) , happiness , affect (linguistics) , reuse , tourism , service (business) , service provider , empirical research , psychology , business , knowledge management , marketing , computer science , social psychology , political science , statistics , engineering , philosophy , linguistics , mathematics , communication , law , waste management
Emotional factors in the use of technology have the potential to be studied, since the important role of user engagement in the information technology development cycle, emotional plays a role in influencing the relationship between consumers and service providers. Previous research has examined various emotional factors of a person in operating digital services through online sites, but it is necessary to find an empirical correlation between emotional variables and one's intention to reuse (IR) online services. This study aims to determine whether users' emotions affect their decision to reuse Government to Citizen (G2C) online tourism services in Indonesia through the HEART Metrics approach. Furthermore, this quantitative study distributed questionnaires using simple random sampling to respondents who had used online tourism. Then analyse 260 research data using the SEM-PLS method by running Warp-PLS 5.0. The findings of this study are among the 5 HEART Metrics factors, 3 of which affect IR, namely Engagement, Retention, and Task Success, while Happiness and Adoption empirically have no significant effect on IR. Our results show that to gain consumer engagement with online services, service providers must consider the emotional elements of the users so that service reuse goals can be achieved. Furthermore, this research can be considered as an alternative recommendation for online tourism service providers, as well as the findings of a new model proposed to contribute to similar research in the future.