This research aims to identify the impact of financial risk, product risk,
time risk, delivery risk, social risk, and information security risk on online
shopping. The respondent choosen for this research is people based in Yogyakarta
that had experience on instagram fashion online shopping at least once. The data
used in this research is primer data where the Author got from online
questionnaire distribution by the help of Google Form. Data collection technique
used is non-probability sampling and sampling choosen is purposive sampling.
The amount of sample which is valid and appropriate is 200 respondents. The data
analysis method used is multiple linear regression.
Based on the research finding and also the discussion on the previous
chapter before, it could be concluded that financial risk variable, product risk
variable, and delivery risk variable have a significant negative impact on online
shopping. Time risk variable, social risk variable, and information security risk
variable don’t have any significant impact on online shopping.