Attitude and Technology Acceptance Users Affect Information System Success Of Filing Personal Income Tax Returns Via The Internet Of Taxpayers In Bangkok and Its Vicinity

Abstract

This research consists purposes: 1) to study attitudes consisting of cognitive aspects, feeling and behavior 2) to study the technology acceptance of information system users consisting of operational expectation, expectation in effort social influence and facilities in the system. Affecting the success of the information system. A case study of personal income tax filing via the Internet of taxpayers in Bangkok and its vicinity consists of the quality of the system, quality of information, quality of service, system user satisfaction and benefits of the system. This is a quantitative research. A research tool was a questionnaire with a sample of 400 people who had filed personal income tax returns via the Internet in Bangkok and its vicinity. Data were analyzed using descriptive statistics consisting of frequency, percentage, mean, and standard deviation. Correlation coefficient analysis to test the relationship between independent and dependent variables. Multiple regression analysis to test the hypothesis.

The results of the research revealed that Respondents have opinions about attitudes. Overall, it was at the highest level (= 4.62). It was found that the overall feeling and the overall behavior with the same highest mean ( = 4.64). There are opinions about technology acceptance of information system users. Overall, it was at a high level ( = 4.64). It was found that the overview of the facilities in the system with the highest average ( = 4.67) and opinions about the success of the information system Overall, it was at the highest level ( = 4.65). It was found that the quality of the system and the benefits of the system with the same highest mean ( = 4.67). The results of the hypothesis test showed that attitudes and acceptance of technology of information system users had a positive effect on the success of information systems. Quality of the system, quality of information, quality of service, system user satisfaction and benefits of the system was statistically significant at the 0.05 level.