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

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dc.coverageDOI: 10.1142/S0219622023500396
dc.creatorQuezada, Luis E.
dc.creatorLópez-Ospina, Héctor
dc.creatorGonzález, Miguel Ángel
dc.creatorOddershede, Astrid
dc.creatorPalominos, Pedro
dc.date2023
dc.date.accessioned05-01-2026 18:05
dc.date.available05-01-2026 18:05
dc.description<p>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.</p>eng
dc.identifierhttps://investigadores.uandes.cl/en/publications/eb725e13-c127-4f40-953a-f0d050157b26
dc.languageeng
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourcevol.23 (2023) date: 2023-04-29 nr.3 p.1261-1299
dc.subjectBalanced scorecard
dc.subjectanalytic network process
dc.subjectmulti-objective integer linear programming
dc.subjectstrategy map
dc.titleIdentifying Causal Relationships in a Strategy Map Using ANP and Multi-Objective Integer Optimization Modeleng
dc.typeArticleeng
dc.typeArtículospa
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