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Investments in E-Government: A Benefit Management Case Study

Investments in E-Government: A Benefit Management Case Study

Teresa Matos Fernandes (Portuguese Public Administration, Lisbon, Portugal), Jorge Gomes (Lisbon School of Economics & Management (ISEG), University of Lisbon, Lisbon, Portugal), and Mário Romão (Lisbon School of Economics & Management (ISEG), University of Lisbon, Lisbon, Portugal)
Copyright: © 2017 |Pages: 17
DOI: 10.4018/IJEGR.2017070101
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Abstract

The expenses in Information Systems and Information Technology (IS/IT) represent a substantial share in organizations' budgets. However, IS/IT investment projects seem to continue to show reduced success rates. The Benefits Management (BM) has gained relevance as a way, not only, to understand these failures, but also as a tool available to organizations to improve the success of IS/TI investments. The objective of this article is to understand how BM can be applied in IS/IT investments in the Public Administration (PA) and help to leverage the benefits of these investments. A case study was conducted using an e-Government project in the Portuguese PA. The study showed how a BM approach can be applied in this environment and also identified some difficulties that must be considered. Several benefits, that were not foreseen, were identified and evaluated, or proposed some criteria for their evaluation, highlighting, this way, the true contribution of IS/IT investments in delivering services to citizens and increasing public organizations performance.
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Benefits Management

BM was initially developed in the 1980s and 1990s (Breese, 2012) by several authors (e.g. Ward et al., 1996; Remenyi & Smith, 1998; Atkinson, 1999; Farbey et al., 1999) with the focus to justify the significant investments in IS/IT, to which the application of valuation methodologies based on purely financial criteria did not seem to be satisfactory (Ward et al., 1996). Although it is an area of study that has received increasing interest from academics and professionals, it is still a young discipline with a limited number of models and tools that need to be tested (Doherty, 2014).

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