Business process compliance tracking using key performance indicators
A Shamsaei, A Pourshahid, D Amyot - … , NJ, USA, September 13-15, 2010 …, 2011 - Springer
A Shamsaei, A Pourshahid, D Amyot
Business Process Management Workshops: BPM 2010 International Workshops and …, 2011•SpringerCompliance of business processes with authoritative rules is significantly important to avoid
financial penalties, efficiency problems, and reputation damages. However, finding the right
measures to evaluate and track compliance is very challenging. We propose a novel method
to model the context and measure compliance using the User Requirements Notation
(URN). We mainly use Key Performance Indicator (KPI) extensions of URN to measure the
level of compliance to rules. Such KPIs have been used in the past to measure the …
financial penalties, efficiency problems, and reputation damages. However, finding the right
measures to evaluate and track compliance is very challenging. We propose a novel method
to model the context and measure compliance using the User Requirements Notation
(URN). We mainly use Key Performance Indicator (KPI) extensions of URN to measure the
level of compliance to rules. Such KPIs have been used in the past to measure the …
Abstract
Compliance of business processes with authoritative rules is significantly important to avoid financial penalties, efficiency problems, and reputation damages. However, finding the right measures to evaluate and track compliance is very challenging. We propose a novel method to model the context and measure compliance using the User Requirements Notation (URN). We mainly use Key Performance Indicator (KPI) extensions of URN to measure the level of compliance to rules. Such KPIs have been used in the past to measure the satisfaction level of goals and the performance of business processes. Yet, they have never been used for measuring compliance. Our method highlights the non-compliant policies and rules on a quadrant map based on their importance and compliance levels. Furthermore, we suggest a new method for importance calculation in this context. We use a human resource policy example to illustrate our method.
Springer
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