Spearman Correlation LAPOR Success in Encouraging Participation .1 Descriptive Statistics

59 LAPOR However, until the study been taken place, the frequency of use of LAPOR is not as high as expected, proven by highest disagreement score scale ‘1-3’ for Frequency of Access 47. Some respondents gave positive comments about LAPOR and said they will keep using LAPOR to provide input to government and recommend it to other people. Many of them also suggested massive socialisation to wider citizens so that LAPOR adoption can be increased. However, there are few respondents who are disappointed and will not use it anymore, particularly because their inputs are slow or not responded by the related government institutions. A respondent even said prefer to just directly contact the concerned government institution via its channel. Furthermore, there is also issue of privacy leakage and performance problems which cause them unsure about the continual usage.

4.5.2 Spearman Correlation

In order to see how quality dimensions are correlated with user satisfaction and usecontinual usage, the result of Spearman correlation is presented in Table 12. Table 12 Spearman Correlation Result As seen above, the correlation coefficient of SQ-UIU and SQ-US is 0.655 and 0.725, respectively. It suggests that there is a positive correlation for SQ-UIU and SQ-US relationship, where increasing value of system quality associates to the increasing value of useintention to continual use and user satisfaction. Both values of ρ also indicate that 60 SQ-UIU and SQ-US have a strong relationship where SQ-US has stronger relationship than SQ-UIU. The correlation coefficient of IQ-UIU and IQ-US is 0.469 and 0.690, respectively. It suggests that there is a positive correlation for IQ-UIU and IQ-US relationship, where increasing value of information quality corresponds to the increasing value of useintention to continual use as well as user satisfaction. However, the value of ρ for IQ-UIU is lower than that for IQ-US. It indicates that IQ-UIU has a moderate relationship while IQ-US has a strong relationship. As summarised above, the correlation coefficient of SvQ-UIU and SvQ-US is 0.573 and 0.821, respectively. It suggests that there is a positive correlation between SvQ and UIU as well as between SvQ and US, where increasing value of service quality associates with the increasing value of useintention to continual use and user satisfaction. The value of ρ for both relationships implies that SvQ-UIU have a moderate relationship while SvQ-UIU has a very strong relationship. In order to see how user satisfaction is correlated with usecontinual usage which are suggested as further participation expectation, the result of Spearman correlation is also presented. The correlation coefficient of 0.655 suggests that there is a positive correlation between SQ and UIU, where increasing value of user satisfaction associates with the increasing value of usecontinual use. Furthermore, the value of ρ indicates that both dimensions have a strong relationship.

4.6 Citizens Perceived Benefits This section presents the findings of