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Applying the Umega Model and Theory of Planned Behavior to Analyze Public Service Mall User Intentions in Sinjai, Indonesia

This study aims to analyze the behavioral intentions of Public Service Mall Sinjai Regency by applying the Umega Model and Theory of Planned Behavior. This research method uses a quantitative approach, collecting primary data by distributing questionnaires to people who use Public Service Malls in S...

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Bibliographic Details
Published in:SHS web of conferences 2024, Vol.204, p.3011
Main Authors: Nurhidayat, Nurhidayat, Pribadi, Ulung, Nurmandi, Achmad, Congge, Umar, Ahdarrijal, Yujitia
Format: Article
Language:English
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Summary:This study aims to analyze the behavioral intentions of Public Service Mall Sinjai Regency by applying the Umega Model and Theory of Planned Behavior. This research method uses a quantitative approach, collecting primary data by distributing questionnaires to people who use Public Service Malls in Sinjai Regency. The questionnaire was distributed to 100 correspondents who were service users at the mall. The data was processed using SMART-PLS4. The results showed that the attitude variable had a T-statistical value of 2.209 and a p-value of 0.005, an effort expectancy had a T-statistical value of 2.217 and a p-value of 0.002, a facilitation condition had a T-statistical value of 2.481 and a p-value of 0.004, norms had a T-statistical value of 1.111 and a p-value of 0.370, and perceived Risk had a T-statistical value of 1.438 and a p-value of 0.202, performance expectancy had a T-statistic value of 2,920 and a p-value of 0.005, social Influence had a T-statistic value of 2,620 and a p-value of 0.005, and values had a T-statistic value of 2,471 and a p-value of 0.005. The R-square value that affects behavioral Intention is 0.709, showing that 70.9% of independent variables affect it. The results of this study can contribute to the development of Public Service Malls in Sinjai Regency, especially in formulating government policies to improve service quality, focusing on the weaknesses of norms and perceived risk variables.
ISSN:2261-2424
2261-2424
DOI:10.1051/shsconf/202420403011