The Australasian Journal of Information Systems
Author ORCID Identifier
Darshana Sedera
Maura Atapattu
Document Type
Research Note
Abstract
Information systems (IS) studies regularly assume linearity of the variables and often disregard the potential non-linear theoretical interrelationships among the variables. The application of polynomial regression and response surface methodology can observe such non-linear theoretical assumptions among variables. This methodology enables to examine the extent to which two predictor variables relate to an outcome variable simultaneously. This paper utilizes the expectation confirmation theory as an example and provides a methodological commentary that illustrates a step-wise process for conducting a polynomial regression and response surface methodology.
Recommended Citation
Sedera, Darshana and Atapattu, Maura
(2019)
"Polynomial Regression and Response Surface Methodology: Theoretical Non-Linearity, Tutorial and Applications for Information Systems Research,"
The Australasian Journal of Information Systems: Vol. 23:
No.
1, Article 36.
DOI: 10.3127/ajis.v23i0.1966
Available at:
https://aisel.aisnet.org/ajis/vol23/iss1/36