During the Covid-19 pandemic, use of social media has increased in line with online buying transactions. This research was conducted to find out impulsive due large amount information and promotion spread on after pandemic. Online questionnaires were distributed 261 respondents who made SEM-PLS 3.0. used analyze data. The results prove that hedonic browsing a significant influence flow experien...

This research studied the user behavior on online group buying services. In the research model, users’ behavior is represented by three dimensions, satisfactory, trust, and group buying intention. Satisfaction is hypothesized to have positive relationship with trust that will have positive impact on the purchase intention. Each of the three dimensions is divided into two constructs, one for pro...

The global economy, public health, and markets are now being greatly affected by the spread of COVID-19. Indonesia is one countries affected. These effects cause fear, panic, anxiety for many people. When lockdown was applied, panic buying becomes common during COVID-19 pandemic. Therefore, it essential to investigate consumer purchasing behavior understand phenomenon better provide management ...

Online appendix figure I shows the dynamics of the effect of a change in the price of regular gasoline on the share of gasoline that is regular grade. The plot shows that a permanent increase in the regular price would increase the share of regular gasoline for at least six months. Online appendix figure II shows the distribution across households of the correlation between buying regular gasol...

The objective of the study is to advance understanding how online consumer review associated with impulse buying behavior in context live streaming. For this, a theoretical model developed which includes relationships among review, interactivity and trust streaming platform, behavior. This enhances by including mediated as well moderated platform between results reveal that has partial mediator...

In a world where the number of choices can be overwhelming, recommender systems help users find and evaluate items of interest. They connect users with items to “consume” (purchase, view, listen to, etc.) by associating the content of recommended items or the opinions of other individuals with the consuming user’s actions or opinions. Such systems have become powerful tools in domains from elec...