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Purpose This paper aims to answer a major challenge in the success of electronic government (e-government) implementation, viz., public participation via continual use intention and electronic word-of-mouth (eWoM). This study tries to provide some control by examining the impact of e-government quality on public trust and with continual use intention and eWoM. This study adopts the eminent information systems (IS) success model and expands the trust dimension into a multi-dimensional trust. Design/methodology/approach Data were collected using questionnaires distributed among e-government service users in Indonesia. In total, 293 respondents were analysed using structural equation modelling (SEM). Findings Of the three IS success factors, namely, systems quality, information quality and service quality, the former two are found to have significant correlation with trust. Dispositional trust has a substantial relationship with institutional trust and interpersonal trust, whereas institutional trust has a significant correlation with interpersonal trust. Institutional trust exhibits direct relationship with continual use intention and eWoM, whereas interpersonal trust has a significantly correlation with only continual use intention. Research limitations/implications This study suggests that it is plausible that user satisfaction could act as an intermediary between service quality and trust or between service quality and continual use intention. Thus, further research studies to examine satisfaction factor and its correlation with public acceptance are encouraged. Practical implications Government agencies should focus on information quality and systems quality which have a significant relation with trust development. These should be more thorough and meticulous to provide complete, secure and easy-to-use e-government information. These should also facilitate eWoM because it plays an important role in disseminating e-government (services). Originality/value This research provides a deeper and more accurate grasp on how public participation of e-government can be improved via trust.

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This study aims to explore factors that have impact on purchase decision on a social commerce, viz., social media Instagram. Thus, several dimensions namely eWOM referral, celebrity endorsement, information quality, brand satisfaction, brand trust and brand attachment are identified and examined. This research uses SEM method and LISREL 8.80 application. Data was collected using questionnaires with Likert scale. The result from 350 respondents shows that a significant positive correlation exists between eWOM referral and purchase intention, information quality and brand satisfaction, information quality and brand trust, brand satisfaction and brand attachment, brand satisfaction and purchase intention, brand trust and purchase intention, brand attachment and purchase decision, and also between purchase intention and purchase decision.

Open data is a flagship initiative in open government program to increase transparency, social and commercial value, and participatory governance. Open data is a relatively new field and the factors affecting its continuance use by citizen has not been widely studied. A better understanding of these factors can help government to formulate policies and strategies that can improve the acceptance and use of open data website. The research model is based on the Theory of Planned Behavior and integrated with the technology quality and trust factors. Data collection was conducted using questionnaire. Structural Equation Modeling (SEM) was used to test the research model. The results show that attitude, subjective norm, perceived behavioral control and trust directly affect continuance intention to use open data website. Systems quality affects perceived ease of use, while information quality positively affects perceived usefulness, perceived ease of use, and trust. Both perceived usefulness and perceived ease of use affect user's attitude. The analysis of this study suggests that each influencing factor provides implications for government to stimulate the continuance use of open data website.

This study aimed to identify and rank user acceptance factors regarding the implementation of hospital information systems (HIS) based on the views of the following user groups: doctors, nurses, hospital management, and administrative staff (operators). The results should provide guidance for hospital management and HIS developers on meeting user requirements. The study was carried out using both qualitative and quantitative methods. The authors conducted interviews and distributed questionnaires to doctors, nurses, hospital management, and administrative staff in a government-owned Indonesian public hospital. Entropy measurements were used to analyze the questionnaire data. The study identified 15 important HIS user acceptance factors, which were ranked differently by each user group. The results show that non-technological dimensions, such as human and organizational dimensions, influence HIS user acceptance to a greater extent than technological dimensions. More work should be carried out to gain a better understanding of the relationship between user acceptance factors in order to increase the success of HIS implementations.