Development of dynamic balanced scorecard using case-based reasoning method and adaptive neuro-fuzzy inference system

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210en_US
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017en_US
dc.contributor.authorKhanmohammadi, Ehsan
dc.contributor.authorSafari, Hossein
dc.contributor.authorZandieh, Mostafa
dc.contributor.authorMalmir, Behnam
dc.contributor.authorTirkolaee, Erfan Babaee
dc.date.accessioned2022-02-08T06:40:26Z
dc.date.available2022-02-08T06:40:26Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractIn recent years, selecting the strategies has been recognized as one of the most challenging issues facing senior and strategy managers of companies. In this regard, this article introduced an integrated framework that helps strategy managers to determine the organization's strategy by analyzing the long-term objectives and visions. The proposed methodology is based on developing and enhancing the performance of the balanced scorecard (BSC) by covering its limitations through being combined with system dynamics (SD) simulation, case-based reasoning (CBR) method, and adaptive neuro-fuzzy inference system (ANFIS) model. The SD model is built based on the company's strategy map to predict the future status of the company based on its selected strategies. The CBR method and ANFIS model are also to develop the sensitivity analysis and policy-making stage utilizing learning and human memory application. An Iranian food and beverage company is considered as a real-world case study to demonstrate how the proposed method could work and validate the research methodology's applicability. As the main finding, the model yields appropriate strategies with minor errors to reach the targets defined by managers. According to the proposed dynamic BSC, managers can select their strategies and observe their financial variables' outcomes on the planning horizon. Moreover, they can set future targets for their financial variable to receive strategies for their achievement.en_US
dc.identifier.citationE. Khanmohammadi, H. Safari, M. Zandieh, B. Malmir and E. B. Tirkolaee, "Development of Dynamic Balanced Scorecard Using Case-Based Reasoning Method and Adaptive Neuro-Fuzzy Inference System," in IEEE Transactions on Engineering Management, doi: 10.1109/TEM.2022.3140291.en_US
dc.identifier.doi10.1109/TEM.2022.3140291en_US
dc.identifier.issn0018-9391en_US
dc.identifier.issn1558-0040en_US
dc.identifier.scopus2-s2.0-85124096534en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1109/TEM.2022.3140291
dc.identifier.urihttps://hdl.handle.net/20.500.12713/2480
dc.identifier.wosWOS:000748323400001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.relation.ispartofIEEE TRANSACTIONS ON ENGINEERING MANAGEMENTen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOrganizationsen_US
dc.subjectCompaniesen_US
dc.subjectAnalytical Modelsen_US
dc.subjectSea Measurementsen_US
dc.subjectAdaptation Modelsen_US
dc.subjectCognitionen_US
dc.subjectStrategic Planningen_US
dc.subjectAdaptive Neuro-Fuzzy Inference System (ANFIS)en_US
dc.titleDevelopment of dynamic balanced scorecard using case-based reasoning method and adaptive neuro-fuzzy inference systemen_US
dc.typeArticleen_US

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