Technology-Organization-Environment Meta-Review and Construct Analysis: Insights for Future Research
Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
The Technology-Environment-Organization (“T-O-E”) framework has been widely applied in more than 80 published empirical information systems (“IS”) studies across multiple stages of organizational technology innovation adoption research in IS since its introduction in 1990. No prior review has traced studies and their factors back to the original framework categories and sub-categories to identify the existing lack of coverage. We address this research gap to guide future work. We present a meta-review and construct analysis derived from the most comprehensive collection of T-O-E articles collected and reviewed up to now. We present four major research contributions: 1) a guide to T-O-E constructs, 2) identification of new organizational sub-categories, 3) recognition of the existing levels of factor miscategorization, 4) identification of measurement gaps particularly relating to linking and communications sub-categories.
Recommended Citation
Thomas, Dominic and Yao, Yurong, "Technology-Organization-Environment Meta-Review and Construct Analysis: Insights for Future Research" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 2.
https://aisel.aisnet.org/hicss-56/os/enterprise_systems/2
Technology-Organization-Environment Meta-Review and Construct Analysis: Insights for Future Research
Online
The Technology-Environment-Organization (“T-O-E”) framework has been widely applied in more than 80 published empirical information systems (“IS”) studies across multiple stages of organizational technology innovation adoption research in IS since its introduction in 1990. No prior review has traced studies and their factors back to the original framework categories and sub-categories to identify the existing lack of coverage. We address this research gap to guide future work. We present a meta-review and construct analysis derived from the most comprehensive collection of T-O-E articles collected and reviewed up to now. We present four major research contributions: 1) a guide to T-O-E constructs, 2) identification of new organizational sub-categories, 3) recognition of the existing levels of factor miscategorization, 4) identification of measurement gaps particularly relating to linking and communications sub-categories.
https://aisel.aisnet.org/hicss-56/os/enterprise_systems/2