Performance Evaluation by Using Fuzzy ANP and BSC Approach (Case study: Isfahan Petrochemical Company)
Subject Areas : Industrial Management
Ali Asghar
Anvari Rostami
1
(Professor of Department of Accounting, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran)
Mohammad Rasoul
Heshmati
2
(M.A Student in Business Management, Ferdowsi University of Mashhad, Mashahad, Iran)
Maisam
Shaverdi
3
(M.A in Industrial Management, Member of Young Researchers Club, Ilam Branch, Islamic Azad University, Ilam, Iran)
Vahab
Bashiri
4
(M.A in Accounting, Imam khomeini international university, Qazvin, Iran.)
Keywords:
Abstract :
Balanced Scorecard (BSC), which is used as a strategic evaluation tool, is a method of determining business performance using lagging and leading indicators on the basis of vision and strategies. It has been revealed in the review of relevant literature that despite the satisfying levels achieved in the conceptual and theoretical dimension of Balanced Scorecard, the method has some deficiencies in terms of implementation on a quantitative basis and that there remain some problems to be resolved. In the scope of the study, BSC approach was integrated with fuzzy ANP technique so as to determine the performance level of Isfahan Petrochemical Company on the basis of its vision and strategies. The reason for combining these methods is a reciprocal relation between effective indexes in BSC that fuzzy ANP solves this problem. For designing model, the first list of related indexes are extracted and then they are studied by experts of Isfahan Petrochemical Company and final model is designed. Proposed model has shown that performance indicators with different structures included in BSC approach can be consolidated with the help of fuzzy ANP technique
_||_