Abstract
Despite much research on organizational adoption of innovation, little is currently
known about the adoption of innovation by individual employees within organizations.
Organizational innovations that need to be incorporated in work processes of an
organization are of little value if they are not adopted by employees. The purpose of this
study is to investigate the determinants of innovation adoption and provide a new theoretical
framework that addresses the adoption decision by individual employees within an
organization. Using data collected from an Australian organization, the study develops and
tests an enhanced model of innovation adoption to investigate a wide range of factors
affecting individuals’ adoption of innovation in an organizational context. The study is
based on a sample comprised of 275 academic and administrative staff across several
departments of the University of South Australia. After data collection, correlation matrix,
Analysis of Variance (ANOVA) and multiple regressions were applied to conduct data
analysis to test a proposed enhanced mode, which is largely supported and validated,
accounting for 53% of the variances in usage. Finally, theoretical and practical implications
are discussed.
known about the adoption of innovation by individual employees within organizations.
Organizational innovations that need to be incorporated in work processes of an
organization are of little value if they are not adopted by employees. The purpose of this
study is to investigate the determinants of innovation adoption and provide a new theoretical
framework that addresses the adoption decision by individual employees within an
organization. Using data collected from an Australian organization, the study develops and
tests an enhanced model of innovation adoption to investigate a wide range of factors
affecting individuals’ adoption of innovation in an organizational context. The study is
based on a sample comprised of 275 academic and administrative staff across several
departments of the University of South Australia. After data collection, correlation matrix,
Analysis of Variance (ANOVA) and multiple regressions were applied to conduct data
analysis to test a proposed enhanced mode, which is largely supported and validated,
accounting for 53% of the variances in usage. Finally, theoretical and practical implications
are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 463-480 |
| Number of pages | 18 |
| Journal | Asia Pacific Management Review |
| Volume | 13 |
| Issue number | 2 |
| Publication status | Published - 2008 |
| Externally published | Yes |