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Identifying Causal Relationships in a Strategy Map Using ANP and Multi-Objective Integer Optimization Model

  • Luis E. Quezada*
  • , Héctor López-Ospina*
  • , Miguel Ángel González*
  • , Astrid Oddershede*
  • , Pedro Palominos*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper presents a method for identifying causal relationships between strategic objectives within a strategy map of a Balanced Scorecard. Strategy maps are modeled as a network of strategic objectives (nodes) and causal relationships (directed arcs). The nodes are also grouped into clusters that represent the perspectives of a Balanced Scorecard: (a) Finances, Clients, Internal Processes and Growth and Learning. The method uses the Analytic Network Process (ANP) to establish the importance of every relationship and uses a multi-objective integer linear programming model to select the relationships to be included within a strategy map of a company. The method provides a method that optimizes the selection of the relationships to be included in a strategy map. An illustration of the application of the method in a manufacturing company is presented.

Original languageEnglish
Pages (from-to)1261-1299
Number of pages39
JournalInternational Journal of Information Technology and Decision Making
Volume23
Issue number3
DOIs
StatePublished - 29 Apr 2023

Bibliographical note

Publisher Copyright:
© 2023 World Scientific Publishing Company.

Keywords

  • Balanced scorecard
  • analytic network process
  • multi-objective integer linear programming
  • strategy map

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