A Causal Model of the Factors Affecting E-participatory Decision-Making among Thai Youth in the Public Policy Process
15
Issued Date
2023-01-01
Resource Type
ISSN
19064675
Scopus ID
2-s2.0-85174027656
Journal Title
Journal of Behavioral Science
Volume
18
Issue
3
Start Page
33
End Page
51
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of Behavioral Science Vol.18 No.3 (2023) , 33-51
Suggested Citation
Poonboon S. A Causal Model of the Factors Affecting E-participatory Decision-Making among Thai Youth in the Public Policy Process. Journal of Behavioral Science Vol.18 No.3 (2023) , 33-51. 51. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/90810
Title
A Causal Model of the Factors Affecting E-participatory Decision-Making among Thai Youth in the Public Policy Process
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
E-participatory decision-making among youths in the public policy process still lacks understanding, especially in relation to government agencies. As a result, young people are not able to make informed decisions, potentially leading to conflict and mistrust in the government sector. Therefore, this study aims to test a causal relationship model of the factors affecting the e-participation decisions of youths in the public policy process. Data were obtained through a survey of 846 youths aged 18–25 years in Bangkok, Thailand, analyzed using structural equation modeling. The Cronbach’s alpha coefficient showed an overall scale reliability of.97. The results of SEM analysis confirmed that the model was consistent with the empirical data (χ2 = 2.59, df = 23, p-value =.05, RMSEA =.06, CFI =.98, SRMR =.02), and has the capacity to explain the level of e-participatory decision-making in youths (R2 =.69). The perceived usefulness factor was found to be the strongest predictor (β =.32, p <.001), while belief orientation and the value of standard factors had no direct influence on decision-making. Furthermore, the perceived benefits of e-participation by youths were not affected by the expectation factor. These findings may contribute to a better understanding of the behavior of young people. The results can be applied as a guideline for government agencies to develop public policies that enhance the intention to improve and promote electronic channels for effective youth participation.