Sutrisno, A.B., Aldhi, I.F., Suhariadi, F., Wijoyo, S., Teofilus, T., Cahyadi, E., Ikhsan, I., Hardaningtyas, D., & Abbas, A. (2024). Antecedent Factors Behavioral Intentions to Use Traffic Accident Claim System. Preprints. https://doi.org/10.20944/preprints202401.0814.v1
Chicago/Turabian Style
Sutrisno, A.B., Dwi Hardaningtyas and Ansar Abbas. 2024 "Antecedent Factors Behavioral Intentions to Use Traffic Accident Claim System" Preprints. https://doi.org/10.20944/preprints202401.0814.v1
Abstract
This research article aims to examine the factors that influence behavioral intentions using the traffic accident claim system in Indonesia. This research uses the Theory of Planned Behavior, the Model of Technology Acceptance, and the Integrated Theory of Technology Acceptance and Use, as well as using the Structural Equation Modeling-Partial Least Squares. The questionnaire was distributed to 580 respondents from three institutions – police, hospitals, and state-owned insurance companies – using quota sampling techniques. The results showed that TPB, TAM, and UTAUT had a significant influence in encouraging behavioral intentions using the traffic accident claim system. Further, the study found that 21st-century digital skills have a moderate role in the impact of acceptance models, planned behavior, and technology use on behavioral intent. Although the study was conducted in Indonesia and is limited to three institutions, it provides strategic guidance for policymakers to improve the use of traffic accident claim systems and reduce Road Traffic Accidents. Further research is recommended to explore from different angles and focus on service providers/operators of traffic accident claim systems to refine the findings of this study. This study contributes to the literature by investigating the factors that influence behavioral intentions using traffic accident claim systems and has a high degree of accuracy of answers from the point of view of traffic safety officers.
Keywords
Behavior Intention; Police; Smart Policing; IT for Road Safety; Predictive Policing
Subject
Business, Economics and Management, Human Resources and Organizations
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
,
,
,
,
,
,
