The importance of the integration of Key Performance Indicators (KPIs) in the EA management is apparent from the well-known phrase ``You Can't Manage It If You Can't Measure It''. However, despite the increasing interest for KPIs and the research related to it, the field in general is considered less developed. Moreover, the measuring process, does not guarantee the success of the applicability of KPIs in a given organizational context. Therefore it is essential for an organization to define qualitative KPIs and in the same time to acknowledge possible risks related to them.
The existing literature suggests artifacts to cope with risks related to KPIs, but usually these artifacts are too general. The context of a problem or issue, the organization type or size, the organizational goals and strategies require a deeper analysis. The literature also offers general guidelines to design "good" KPIs, but there is a lack of information on how to guide the maintenance process.
The aim of this thesis is to investigate possible risks related to KPIs/KPI systems, and to suggest a method to overcome them, or ease the negative consequences.
Following the literature review, we identified the following categories of risks related to KPIs:
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