A Business Performance Management Framework

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In an increasingly competitive market, companies need to look not only at results, but also at how they can improve their performance to achieve them. Knowing the factors that influence business performance allows to identify initiatives that lead to their improvement or mitigate potential risks, ensuring strategic alignment across the organization. This article presents a Business Performance Management (BPM) framework, where the key components that impact business performance are described, which includes Business Intelligence (BI) as an integral part of the technological framework and a Performance Management (PM) cycle as a methodological approach to its implementation for business performance improvement.

Original languageEnglish
Title of host publicationTrends and Innovations in Information Systems and Technologies
Subtitle of host publicationWorldCIST 2020
EditorsÁlvaro Rocha, Hojjat Adeli, Luís Paulo Reis, Sandra Costanzo, Irena Orovic, Fernando Moreira
PublisherSpringer
Pages312-323
Number of pages12
Volume1
ISBN (Electronic)978-3-030-45688-7
ISBN (Print)978-3-030-45687-0
DOIs
Publication statusPublished - 18 May 2020
Event8th World Conference on Information Systems and Technologies, WorldCIST 2020 - Budva, Montenegro
Duration: 7 Apr 202010 Apr 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1159 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference8th World Conference on Information Systems and Technologies, WorldCIST 2020
CountryMontenegro
CityBudva
Period7/04/2010/04/20

Keywords

  • Business Intelligence
  • Business Performance Management
  • Framework

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  • Cite this

    Pereira, A. C. B., & de Castro Neto, M. (2020). A Business Performance Management Framework. In Á. Rocha, H. Adeli, L. P. Reis, S. Costanzo, I. Orovic, & F. Moreira (Eds.), Trends and Innovations in Information Systems and Technologies: WorldCIST 2020 (Vol. 1, pp. 312-323). (Advances in Intelligent Systems and Computing; Vol. 1159 AISC). Springer. https://doi.org/10.1007/978-3-030-45688-7_32