Understanding User Acceptance towards Case Management System: A UTAUT Analysis

To improve the quality of case handling administration, the Indonesian National Police (Polri) has implemented a technology-based platform, a Case Management System (CMS). This study employs the UTAUT model to examine the factors influencing the interest of Polri investigators in using the CMS. Data were collected through an online survey distributed to all investigators within the Polri. Multivariate analysis using PLS-SEM was conducted to identify and predict the factors significantly influencing user acceptance. The results indicate that government policies and regulations, performance expectancy, and social influence significantly influence behavioral intentions towards the system, whereas effort expectancy does not. Behavioral intentions and facilitating conditions significantly influence system usage behavior. In conclusion, the UTAUT model demonstrates valid and reliable measurements, as well as a good goodness of fit in predicting investigators’ interest or intention to use the CMS system, which can be utilized for the development of information systems in government agencies.

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Publication Details

Journal
Indonesian Journal of Computer Science
Published
2024-08-08
DOI
https://doi.org/10.33022/ijcs.v13i4.3930
Citations
1
Primary Topic
Customer Service Quality and Loyalty
Type
article
Field-Weighted Citation Impact
0.67
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article

Understanding User Acceptance towards Case Management System: A UTAUT Analysis

Dana Indra Sensuse, Sofian Lusa, Ester Marta Tambunan
1 citations
Indonesian Journal of Computer Science
Customer Service Quality and Loyalty
0.67
article

Understanding User Acceptance towards Case Management System: A UTAUT Analysis

Dana Indra Sensuse, Sofian Lusa, Ester Marta Tambunan
article en
1 citations

Abstract

To improve the quality of case handling administration, the Indonesian National Police (Polri) has implemented a technology-based platform, a Case Management System (CMS). This study employs the UTAUT model to examine the factors influencing the interest of Polri investigators in using the CMS. Data were collected through an online survey distributed to all investigators within the Polri. Multivariate analysis using PLS-SEM was conducted to identify and predict the factors significantly influencing user acceptance. The results indicate that government policies and regulations, performance expectancy, and social influence significantly influence behavioral intentions towards the system, whereas effort expectancy does not. Behavioral intentions and facilitating conditions significantly influence system usage behavior. In conclusion, the UTAUT model demonstrates valid and reliable measurements, as well as a good goodness of fit in predicting investigators’ interest or intention to use the CMS system, which can be utilized for the development of information systems in government agencies.

Indonesian Journal of Computer ScienceVol. 13(4)
Barro Colorado Island (PA)
Openalex Percentile: Top 22%
Customer Service Quality and Loyalty
0.67
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