| Autor: |
Anderson da Silva Ramos, Fernando Luiz Cyrino Oliveira, Cristina Márcia Barros de Castro |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Springer Proceedings in Mathematics & Statistics ISBN: 9783030569198 |
| DOI: |
10.1007/978-3-030-56920-4_29 |
| Popis: |
The deployment of strategic objectives into indicators that portray organizational performance to the operational level is the main focus of performance measurement systems. The selection of indicators and the mapping of relationships between them and the objectives using quantitative methods are an important research aspect, given that several initiatives for the implementation of performance measurement systems have been limited in their ability to assist decision-making processes, especially due to the subjectivity in some methods. In this sense, this paper presents a review with the main approaches already available in the literature about the use of quantitative tools for the identification of performance indicators and their relationships. It is observed an opportunity to expand studies about the application of business analytics techniques, in order to exploit their potential for information extraction from historical data and their applicability in strategic processes. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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