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Information and Knowledge Management using ArcGIS ModelBuilder

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Dawit Asmelash<br />

The benefits of IT can be described <strong>using</strong> the logic <strong>and</strong> concepts of business goal, business change<br />

<strong>and</strong> business outcome (Ward & Elvin, 1999). However, in many organizations benefit identification<br />

<strong>and</strong> measurement is often ignored or carried out inefficiently or ineffectively because it is deemed to<br />

be an elusive <strong>and</strong> complex process (Serafeimidis & Smithison, 2003). According to Berghout <strong>and</strong><br />

Remenyi (2005) increased practical adoption <strong>and</strong> improvement of benefits evaluation methods is<br />

needed to resolve some of the issues raised by research into IT evaluation. This study addresses the<br />

challenges related to identifying benefits at ex-ante justification stage by adapting IT control<br />

framework concepts in order to formulate business outcomes for practical use in the organization.<br />

Benefit identification for evaluation is a good example of a substantial gap that exists between<br />

academic theory, commercial methodology <strong>and</strong> actual management practice. Consequently, a<br />

contribution is needed that presents insights into how benefits-oriented practices might best be<br />

utilized <strong>and</strong> incorporated into organizational contexts (Berghout & Remenyi, 2005). Moreover, work<br />

that presents insights into how potential benefits from IT initiatives are identified at the ex-ante<br />

justification stage will be valuable.<br />

Case study research was done <strong>using</strong> the relationship concept of business goal, IT goal <strong>and</strong> outcomes<br />

to develop new benefit identification method for ex-ante project evaluation, <strong>and</strong> to explore how it can<br />

be best applied in the business context. The paper is organized into three further parts. First, it<br />

reviews the existing research literature related to IT benefits. The research methodology adopted for<br />

the empirical part of the research is then outlined. Finally, the theoretical <strong>and</strong> practical implications of<br />

the proposed method are explored, paying particular attention to insights that might be useful to<br />

improve benefit evaluation in the future.<br />

2. Literature review<br />

This section reviews the concepts related to the business benefits of IT so as to clarify the nature <strong>and</strong><br />

characteristics of IT benefits with respect to the application of a benefit identification method. The<br />

literature study will assist in developing a practical IT benefits identification method by applying<br />

theoretical knowledge.<br />

IT benefit is defined as a business outcome whose nature <strong>and</strong> value expressed in various ways are<br />

considered advantageous to an organization (Thorp, 2007). Ward <strong>and</strong> Elvin (1999) associate<br />

business outcomes with a needed business change <strong>and</strong> consider benefit as the effect of the changes.<br />

A business outcome can result in benefit, if it is aligned <strong>and</strong> supports the organization’s goals (ITGI,<br />

2008a; Ward & Daniel, 2006).<br />

The implementation of IT projects <strong>and</strong> the subsequent process of change resulting in benefits<br />

comprise key concepts of IT benefit <strong>and</strong> they can be used to characterize <strong>and</strong> describe the nature of<br />

specific benefits. These key concepts are briefly described below:<br />

Business objectives: The goals, strategies or tactics that the IT project addresses (Fulton,<br />

2004).<br />

Implementation/Intervention: The technical <strong>and</strong> business design, deployment <strong>and</strong> operation<br />

(Fulton, 2004).<br />

Business Change: the difference between the current <strong>and</strong> desired state that IT is intended to<br />

enable (Ward <strong>and</strong> Elvin, 1999).<br />

Area of impact: The business process or individuals that IT targets in order to affect or enable<br />

change (Dhillon, 2004).<br />

Directness of impact: IT may have direct <strong>and</strong> first order effect or indirect <strong>and</strong> second order effect<br />

(Remenyi <strong>and</strong> Sherwood-Smith, 2001).<br />

Certainty of the impact: The impact of new system may be almost completely predictable or<br />

totally uncertain. This depends on clarification of the area of impact <strong>and</strong> the cause of change<br />

(Farbey et al., 1993).<br />

Indicators of the effect: The effects of change are assessed with process improvement<br />

indicators that relate to efficiency, effectiveness, performance <strong>and</strong> transformation (Berman, 2007;<br />

Thorp, 2007; Murphy, 2002; Andresen et al., 2000).<br />

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