| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10367276 | Decision Support Systems | 2013 | 11 Pages |
Abstract
⺠We classify and analyze enterprise-level IT innovation adoption research. ⺠We show that text analytics enables discovery of trans-disciplinary relationships. ⺠We identify best & worst organizational, technological, & environmental factors. ⺠We find that emerging IT is a promising domain for future IT innovation research.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Rahul C. Basole, C. David Seuss, William B. Rouse,