Non-linear and linear postulations of technology adoption determinants

Siti Aisyah Salim, Darshana Sedera, Sukanlaya Sawang

Research output: Contribution to journal › Article

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)17679-17689
Number of pages11
JournalARPN Journal of Engineering and Applied Sciences
Volume10
Issue number23
Publication statusPublished - 1 Dec 2015

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Surface analysis
Polynomials
Industry

Keywords

  • Technology Adoption
  • Polynomial Regression
  • Response Surface Methodology
  • Cloud ERP
  • SMEs

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Non-linear and linear postulations of technology adoption determinants. / Salim, Siti Aisyah; Sedera, Darshana; Sawang, Sukanlaya.

In: ARPN Journal of Engineering and Applied Sciences, Vol. 10, No. 23, 01.12.2015, p. 17679-17689.

Research output: Contribution to journal › Article

Salim, SA, Sedera, D & Sawang, S 2015, 'Non-linear and linear postulations of technology adoption determinants' ARPN Journal of Engineering and Applied Sciences, vol. 10, no. 23, pp. 17679-17689.
Salim SA, Sedera D, Sawang S. Non-linear and linear postulations of technology adoption determinants. ARPN Journal of Engineering and Applied Sciences. 2015 Dec 1;10(23):17679-17689.
Salim, Siti Aisyah ; Sedera, Darshana ; Sawang, Sukanlaya. / Non-linear and linear postulations of technology adoption determinants. In: ARPN Journal of Engineering and Applied Sciences. 2015 ; Vol. 10, No. 23. pp. 17679-17689.
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