Abstract
Using polynomial regression and response surface analysis to examine the non-linearity between variables, this study demonstrates that better analytical nuances are required to investigate the relationships between constructs when the underlying theories suggest non-linearity. By utilising the Theory of Planned Behaviour (TPB), Ettlie's adoption stages as well as employing data gathered from 162 owners of Small and Medium-sized Enterprises (SMEs), our findings reveal that subjective norms and attitude have differing influences upon behavioural intention in both the evaluation and trial stages of the adoption.
| Original language | English |
|---|---|
| Pages (from-to) | 17679-17689 |
| Number of pages | 11 |
| Journal | ARPN Journal of Engineering and Applied Sciences |
| Volume | 10 |
| Issue number | 23 |
| Publication status | Published - 1 Dec 2015 |
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Keywords
- Technology Adoption
- Polynomial Regression
- Response Surface Methodology
- Cloud ERP
- SMEs
Cite this
Salim, S. A., Sedera, D., & Sawang, S. (2015). Non-linear and linear postulations of technology adoption determinants. ARPN Journal of Engineering and Applied Sciences, 10(23), 17679-17689.