In management practice, performance indicators are considered as a prerequisite to make informed decisions in line with the organization’s goals. On the other hand, indicators summarizes compound phenomena in a few digits, which can induce to inadequate decisions, biased by information loss and conflicting values. Model driven approaches in enterprise engineering can be very effective to avoid these pitfalls, or to take it under control. For that reason, “performance modeling” has the numbers to play a primary role in the “model driven enterprise” scenario, together with process, information and other enterprise-related aspects. In this perspective, we propose a systematic review of the literature on performance modeling in order to retrieve, classify, and summarize existing research, identify the core authors and define areas and opportunities for future research.
CITATION STYLE
Livieri, B., Di Cagno, P., & Bochicchio, M. (2015). A Bibliometric Analysis and Review on Performance Modeling Literature. Complex Systems Informatics and Modeling Quarterly, (2), 56–71. https://doi.org/10.7250/csimq.2015-2.05
Mendeley helps you to discover research relevant for your work.