Information technology (IT) is a key enabler of modern small businesses, yet fostering reliably
effective IT systems remains a significant challenge. This paper presents a light weight IT
effectiveness model for small businesses to assess their IT and formulate strategies for
improvement. Employing an action research approach we investigate a mixed method analysis of 120 survey responses from small family businesses and user participation in 10 semi-structured interviews. We then conduct critical reflection to identify refinements which are validated using 72 survey responses from university students. The results present compelling evidence that employees’ normative patterns (norms) are a significant driver of IT effectiveness in a second order PLS predictive model able to explain 26% of observed variance. A norms-based approach to IT effectiveness helps fill a significant research and managerial gap for organizations unable or unwilling to adopt IT best practice frameworks used by large organizations. Our findings imply that comparing norms to IT best practices may offer a less technical approach to assessing IT operations, which may be well suited to small businesses. Although further investigation cycles are needed to systematically test this model, we encourage small business managers to: 1) anticipate IT risks and mitigate them; 2) identify measures of IT performance, and monitor them, and 3) review/synchronize business and IT goals.
Funding
This work was supported by the Carson College of Business at Washington State University, Vancouver Campus and the College of Business at Oregon State University.
History
School
Business and Economics
Department
Business
Published in
Communications of the International Information Management Association
Volume
15
Issue
1
Pages
3 - 3 (10)
Citation
CURRY, M., MARSHALL, B. and KAWALEK, P., 2017. A normative model for assessing SME IT. Communications of the International Information Management Association, 15(1):3.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Acceptance date
2016-08-16
Publication date
2017-02-21
Notes
This is an Open Access Article. It is published by CSUSB ScholarWorkS under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC B-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/