It is widely accepted that Information Systems Evaluation (ISE) is a powerful and useful technique
that can be used to assess IT/IS investments in an a-priori or a-posteriori sense. Traditional
approaches to ISE have tended to centre upon financial and management accounting frameworks,
seeking to reconcile tangible and intangible costs, benefits, risks and value factors. Such techniques,
however, do not provide the IS researcher or practitioner with further insight or appreciation of any
inherent and implicit inter-relationships, in the investment justification process. Thus, this paper
outlines and discusses via a taxonomy and resulting classification, alternative and complementary
approaches that can be applied to ISE from the fields of Artificial Intelligence (AI), Operational
Research (OR) and Management Science (MS). The paper subsequently concludes that such
approaches can be potentially used by researchers and practitioners in the field, as a basis for
carrying out further research in the field of applied ISE
