E-grocery users are increasing due to the coronavirus 2019 pandemic. In the first quarter of 2020, the e-grocery business saw a 20% increase in users from before the pandemic. This study, therefore, aims to determine the factors that influence users’ repurchase intentions (RIs) for electronic store (e-grocery) applications. The research results were processed from 427 valid respondents. The data is then analyzed using the Covariance Based Structural Equation Modeling method with the help of AMOS 24 software. The results of data processing and data analysis show that factors that influence users’ RIs for e-grocery applications are trust to e-grocery, perceived value, and attitude. This research can guide e-grocery providers on the development of their applications’ features and services.

To date, there is still a low consumer intention to use an online grocery (e-grocery) in Indonesia. Therefore, this study was conducted to identify the factors affecting consumer intention to switch from traditional to online grocery shopping using the moderating effect of gender. This study involved 522 respondents. The data were then analyzed using the Covariance Based Structural Equation Modeling (CB-SEM) method with the AMOS 21.0 software. The results show that the factors influencing consumer intention to switch from offline to online shopping in Indonesia are perceived channel risk, perceived price-search intentions, mobility, and perceived difference in delivery time. Additionally, the moderating effect of gender significantly influences the factors affecting consumer intention to switch. This research can be a reference to developers of e-grocery applications that are aimed to provide better services and that could be widely accepted by consumers.

This study aims to determine what factors that motivate users to use the hashtag and geotag features on Instagram while traveling. It also seeks to determine the relationship between using Instagram features, traveling experience, expectation, confirmation, and satisfaction on traveling journeys. This study collected data from 606 Indonesian travelers. Then, the data analysed using covariance-based structural equation modelling. Results show that the use of hashtags and geotags during traveling improve their satisfaction. Additionally, information seeking, chronicling, and etiquette are found to be influencing hashtag use. Meanwhile, geotag use are influenced by geotag enjoyment and anticipated rewards.

Purpose: In the context of social media (SM) use, self-disclosure (SD) behaviour meets users' social and emotional needs, but it is also accompanied by risks that can harm users. This paper aims to identify the factors that influence users' SD behaviour on SM in Indonesia, using a comparative analysis based on age groups.Design/methodology/approach: A survey was conducted on 2,210 respondents who were active SM users in Indonesia. Data were processed and analysed using covariance-based structural equation modelling with AMOS 24.0 software.Findings: Results indicate that, in the overall age group data, factors such as use of information (UI), trust, privacy control (PC), interactivity, perceived benefits (PB) and perceived risks (PR) influence users' SD behaviour. This research also found differences in the characteristics of SD behaviour between age groups.Originality/value: Findings from this study can help SM service providers to evaluate the credibility and reliability of their platforms to encourage user retention.

Handayani PW, et al. Healthc Inform Res. 2019 Jan;25(1):3-11. https://doi.org/10.4258/hir.2019.25.1.3