Ranking strategic objectives in a strategy map based on logarithmic fuzzy preference programming and similarity method

• Autor(a) principal: Safari, Hossein
• Data de Publicação: 2019
• Outros Autores: Khanmohammadi, Ehsan, Maleki, Meysam, Cruz-Machado, Virgilio, Shevtshenko, Eduard
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10362/99128
• topic: Balanced Scorecard (BSC); Logarithmic Fuzzy Preference Programming (LFPP); similarity method; Strategy map; Management Information Systems; Industrial and Manufacturing Engineering; Management of Technology and Innovation; SDG 9 - Industry, Innovation, and Infrastructure

This paper aims to rank strategic objectives in a strategy map to improve the efficiency of strategy implementation. Objectives are ranked based on strategic destinations using the combination of Logarithmic Fuzzy Preference Programming (LFPP) and similarity method. In the first step, the weight of strategic destinations is obtained using LFPP technique; then objectives are ranked by similarity method. Similarity method uses the concept of alternative gradient and magnitude for effectively solving the general multi-criteria analysis problem. Finally, objectives are ranked in an actual strategy map. As a practical and efficient tool, the proposed approach can assist managers and decision-makers in drawing more efficient output from strategy maps.