Volume 1, 2013: Issue 2

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Information system due diligence data as an input for knowledge management


Boštjan Delak, ITAD, Revizija in Svetovanje, Slovenia

Marko Bajec, University of Ljubljana, Slovenia


This paper presents a study on how to use a specific information system due diligence framework (ISDDF) to facilitate information system knowledge management. More specifically, the study demonstrates how to collect relevant and important data on the current state of the organization’s information system in an efficient way, and how these data can be useful in the initial phase of the information system knowledge management life cycle. General information system due diligence can be seen as an explanatory theory that helps the stakeholders to obtain detailed information on what, how, why, when, and where, all concerning the matters of their information system. In contrast, the initial information system due diligence only acts as a prediction theory that helps the stakeholders to get a high-level picture on the current and desired state of the information system. The article outlines definitions of due diligence, various information system due diligence types and briefly presents the ISDDF, which was founded in Slovenia several years ago for conducting information system due diligences in financial industry. With this framework information system due diligence can be conducted in a very short time frame in a small or large-sized organization. The paper presents the hypothesis that the ISDDF can be applied as a knowledge collection tool in knowledge management life cycle. In order to prove this hypothesis, general information system due diligence activities were carried out in two organizations. Moreover, the paper describes a case study of information system due diligence in the selected organization. Finally, the results of this case study are presented and they confirm the hypothesis that the Framework is also suitable for knowledge collection in different organizations.


Information system; Due diligence; Framework; Knowledge management


Research paper


The Online Journal of Applied Knowledge Management (OJAKM), ISSN: 2325-4688


International Institute for Applied Knowledge Management (IIAKM)


1 July 2013