01991nas a2200169 4500008004100000245005700041210005500098260000900153490000700162520151400169653001501683653000801698100001901706700002001725700001901745856005701764 2017 eng d00aA Normative Model for Assessing SME IT Effectiveness0 aNormative Model for Assessing SME IT Effectiveness c20170 v153 aInformation 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.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aKawalek, Peter uhttp://scholarworks.lib.csusb.edu/ciima/vol15/iss1/301537nas a2200181 4500008004100000245007500041210006900116260000900185300001000194490000700204520094600211653001501157653000801172100001901180700002001199700001901219856011701238 2015 eng d00aImproving IT Assessment with IT Artifact Affordance Perception Priming0 aImproving IT Assessment with IT Artifact Affordance Perception P c2015 a17-280 v193 aAccurately assessing organizational information technology (IT) is important for accounting professionals, but also difficult. Both auditors and the professionals from whom they gather data are expected to make nuanced judgments regarding the adequacy and effectiveness of controls that protect key systems. IT artifacts (policies, procedures, and systems) are assessed in an audit because they “afford” relevant action possibilities but perception preferences shade the results of even systematic and well-tested assessment tools. This study of 246 business students makes two important contributions. First we demonstrate that a tendency to focus on either artifact or organizational imperative systematically reduces the power of well-regarded IT measurements. Second, we demonstrate that priming is an effective intervention strategy to increase the predictive power of constructs from the familiar technology acceptance model (TAM).10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aKawalek, Peter uhttp://people.oregonstate.edu/~marshaby/Papers/IJAIS%20-%20IT%20Artifact%20Affordance%20Perception%20Priming.pdf01587nas a2200181 4500008004100000245010400041210006900145260000900214300001200223490000700235520102800242653001501270653000801285100001901293700002001312700001901332856005401351 2014 eng d00aIT Artifact Bias: How exogenous predilections influence organizational information system paradigms0 aIT Artifact Bias How exogenous predilections influence organizat c2014 a427-4360 v343 aEfforts in IS research have long sought to bridge the gap between the information technology (IT) function and strategic business interests. Efforts in IS research have long sought to bridge the gap between the information technology (IT) function and the strategic business interests. People perceive affordances (possibilities for action) in information technology artifacts differently as cognitive structures (schema) which bias individual focus. This study explores how an individual’s tendency to perceive the ‘trees’ in an IT ‘forest’ (artifact preference), affects their assessment of efforts to achieve more effective IT outcomes. The effect is demonstrated using a relatively simple IT success model. Further, in a sample of 120 survey responses supported by ten semi-structured interviews we demonstrate that job role and organizational IT complexity systematically impact artifact perception. A better understanding of IT artifact bias promises to help organizations better assess information systems.10aAccounting10aBIS1 aCurry, Michael1 aMarshall, Byron1 aKawalek, Peter uhttp://dx.doi.org/10.1016/j.ijinfomgt.2014.02.00500521nas a2200145 4500008004100000245006900041210006500110260001900175653001500194653000800209100002000217700001900237700001900256856010000275 2014 eng d00aThe Moderating Power of IT Bias on User Acceptance of Technology0 aModerating Power of IT Bias on User Acceptance of Technology aAucklandc201410aAccounting10aBIS1 aMarshall, Byron1 aCurry, Michael1 aKawalek, Peter uhttps://dev.business.oregonstate.edu/biblio/moderating-power-it-bias-user-acceptance-technology