Acceptance of public cloud storage services in South Korea: A multi-group analysis
作者：
Highlights：
• This study explored the differences and and similarities between users and nonusers in the context of public cloud storage services.
• For social influence, there was a significant difference between users and nonusers.
• For users, social influence was not a determinant for positive intention to use PCSS, whereas it was a determinant for nonusers.
• For other factors, there were no significant differences between the two groups, but each showed meaningful similarities.
• Habit was the strongest predictor of the intention to use for both users and nonusers, whereas hedonic motivation was not an important concern for both.
• Performance expectancy was a determinant for positive intention to use PCSS for both groups.
• Effort expectancy was a determinant for positive intention to use PCSS for users, whereas it was not a determinant for nonusers.
摘要
•This study explored the differences and and similarities between users and nonusers in the context of public cloud storage services.•For social influence, there was a significant difference between users and nonusers.•For users, social influence was not a determinant for positive intention to use PCSS, whereas it was a determinant for nonusers.•For other factors, there were no significant differences between the two groups, but each showed meaningful similarities.•Habit was the strongest predictor of the intention to use for both users and nonusers, whereas hedonic motivation was not an important concern for both.•Performance expectancy was a determinant for positive intention to use PCSS for both groups.•Effort expectancy was a determinant for positive intention to use PCSS for users, whereas it was not a determinant for nonusers.
论文关键词：Cloud computing,PCSS,UTAUT/UTAUT2,Individual-level technology acceptance,Voluntary context
论文评审过程：Received 15 January 2019, Revised 9 August 2019, Accepted 3 November 2019, Available online 15 November 2019, Version of Record 24 February 2020.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2019.11.003
