A Bibliometric Analysis and Review on Performance Modeling Literature

Barbara Livieri, Pierluca Di Cagno, Mario Bochicchio


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.


Enterprise modeling, performance, ontologies, DSML, information systems, KPIs.

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DOI: 10.7250/csimq.2015-2.05


1. La Gestión de la Producción a partir de Modelos Inteligentes para la Industria 4.0: Retos y Oportunidades
Jenny Ruiz-de la Peña, Reyner Pérez-Campdesuñer, Pablo Gustavo Andrade-Molina
Economía y Negocios  vol: 13  issue: 2  first page: 1  year: 2022  
doi: 10.29019/eyn.v13i2.1084


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