Behavioural Intentions for Health by the Z Generation: A Fuzzy Cognitive Maps Analysis
Artykuł w czasopiśmie
MNiSW
100
Lista 2021
| Status: | |
| Autorzy: | Czerwińska Magdalena, Czerwiński Dariusz |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2021 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | Special Issue 2 |
| Wolumen/Tom: | 24 |
| Strony: | 99 - 111 |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Otwarte czasopismo |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 12 czerwca 2021 |
| Abstrakty: | angielski |
| Purpose:The purpose of the researchwas to examine behavioural intentions (acceptance attitudes) regarding the use of health information available on the Internet by representatives of the generationZ. We adapt the UTAUT model and Fuzzy Cognitive Maps for evaluating the acceptance attitudesand reasoning about young Internet users preferences.Design/Methodology/Approach:We present the results of research conducted in a group of 200 IT specialization students in 2019.A purposive sampling wasused. The survey was conducted in a group of students of the Lublin University ofTechnology in June 2019. The group of respondents was a group of 200 studentsof Computer Science in full-time studies. The questionnaire was used as a research tool. The survey was conducted in the CAWI(Computer Assisted Web Interview) technique.Findings:Obtained results indicate that selectedvariables conditioning behavioural intentions and shaping mental attitudes are significant and internally consistent. Very strong correlationsexist between the following constructs: effort expectancy, social influenceand facilitating conditions. Conducted and presented studies have shownthe possibility of identifying factors affecting acceptance attitudes usingthe UTAUT model and Fuzzy Cognitive Maps.Practical Implications:As more and more human activities are carried out with the use of the Internet, it becomes necessary to develop theories and models that will allow us to understand, explain and predict the behaviourof entities in the specific environment of the Internet. Therefore, further work on the use of acceptance models such as UTAUT is recommended.Originality/Value: The presented results of the pilot studies showed the possibility of identifying the factors influencing the intention of generationZ to use health information contained in the Internet using the UTAUT model. They allowed to identify the main determinants of the use of health information by young Internet users. |
