Lifestyle-technology fit: Theorizing the role of self-identity in IS research

作者：

Highlights：

• Adoption studies focus on technological drivers of use intention.

• We examine user characteristics and lifestyle as additional drivers of cloud adoption.

• Cloud non-adopters perceive high risk and low trialability/observability.

• Cluster analysis reveals three lifestyles among cloud adopters and non-adopters.

• Only one lifestyle group represents a “cloud lifestyle” and intends to adopt.

摘要

•Adoption studies focus on technological drivers of use intention.•We examine user characteristics and lifestyle as additional drivers of cloud adoption.•Cloud non-adopters perceive high risk and low trialability/observability.•Cluster analysis reveals three lifestyles among cloud adopters and non-adopters.•Only one lifestyle group represents a “cloud lifestyle” and intends to adopt.

论文关键词：IT diffusion and adoption,Mobile computing,Cloud computing,Lifestyle-technology fit,Cluster analysis

论文评审过程：Available online 30 March 2015.

论文官网地址：https://doi.org/10.1016/j.chb.2015.02.049