3 research outputs found
Towards an ontology for strategic decision making: The case of quality in rapid software development projects
Strategic decision making is the process of selecting a logical and informed choice from the alternative options based on key strategic indicators determining the success of a specific organization strategy. To support this process and provide a common underlying language, in this work, we present an empirically-grounded ontology to support different strategic decision-making processes and extend the ontology to cover the context of managing quality in Rapid Software Development projects. We illustrate the complete ontology with an example.Peer ReviewedPostprint (author's final draft
Towards Semantic KPI Measurement
Linked Data (LD) represent a great mechanism towards integrating information across disparate sources. The
respective technology can also be exploited to perform inferencing for deriving added-value knowledge. As
such, LD technology can really assist in performing various analysis tasks over information related to business
process execution. In the context of Business Process as a Service (BPaaS), the first real challenge is to
collect and link information originating from different systems by following a certain structure. As such, this
paper proposes two main ontologies that serve this purpose: a KPI and a Dependency one. Based on these
well-connected ontologies, an innovative Key Performance Indicator (KPI) analysis system is then built which
exhibits two main analysis capabilities: KPI assessment and drill-down, where the second can be exploited to
find root causes of KPI violations. Compared to other KPI analysis systems, LD usage enables the flexible
construction and assessment of any KPI kind allowing experts to better explore the possible KPI space
A taxonomy for key performance indicators management
In recent years, research on Key Performance Indicators (KPIs) management has grown exponentially, giving rise to a multitude of heterogeneous approaches addressing any aspect concerning it. In this paper, we plot the landscape of published works related with KPIs management, organizing and synthesizing them by means of a unified taxonomy that encompasses the aspects considered by other proposals, and it captures the overall characteristics of KPIs. Since most of the literature centers on the definition of KPIs, we mainly focus on such an aspect of KPIs management. Our work is intended to provide remarkable benefits such as enhancing the understanding of KPIs management, or helping users decide about the most suitable solution for their requirements