Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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This study aims to determine the effect of social influence, self-efficacy, perceived enjoyment, and individual mobility on attitude toward the use, as well as the effect of perceived enjoyment and individual mobility on the intention to use, and the effect of attitude toward use on the intention to use. This type of research uses quantitative research. Data were collected from 125 OVO application users in Indonesia who met the criteria determined by the researcher. Data were collected by a questionnaire distributed online and Analyzed using Structural Equation Modeling (SEM) with Amos software. The Results Showed that attitude toward OVO was influenced by self-efficacy and individual mobility but not influenced by social influences and perceived enjoyment. Furthermore, the intention of OVO users is influenced by perceived enjoyment, individual mobility, and attitude.
Agus Abdul Choleq. 2019. \u201cThe Impact of Social Influence, Self-Efficacy, Perceived Enjoyment, and Individual Mobility on Attitude toward use and Intention to use Mobile Payment of Ovo\u201d. Global Journal of Management and Business Research - E: Marketing GJMBR-E Volume 19 (GJMBR Volume 19 Issue E7): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Neural Networks and Rules-based Systems used to Find Rational and
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This study aims to determine the effect of social influence, self-efficacy, perceived enjoyment, and individual mobility on attitude toward the use, as well as the effect of perceived enjoyment and individual mobility on the intention to use, and the effect of attitude toward use on the intention to use. This type of research uses quantitative research. Data were collected from 125 OVO application users in Indonesia who met the criteria determined by the researcher. Data were collected by a questionnaire distributed online and Analyzed using Structural Equation Modeling (SEM) with Amos software. The Results Showed that attitude toward OVO was influenced by self-efficacy and individual mobility but not influenced by social influences and perceived enjoyment. Furthermore, the intention of OVO users is influenced by perceived enjoyment, individual mobility, and attitude.
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