About Business Decision Making by A Consistency-Driven Pairwise Comparisons Method

• Autorzy: Koczkodaj W. W. , LeBrasseur R. , Wassilew A. , Tadeusziewicz R.
• Języki publikacji: EN

Abstrakty

EN

Writing this paper has been inspired by the most recent economic crises in the world. Better decision making methods are more needed now than ever before. This study presents an innovate approach to the assessment of management capability in businesses. It is based on the consistency-driven pairwise comparisons method. A proposed conceptual model of performance is flexible and adaptable to different requirements and preconditions (e.g., grant or loan applications). Considering the complexity, a hierarchical structure is used and an inconsistency analysis is performed for all the levels of the structure. The pairwise comparisons method synthesizes together performance assessments assessed at two levels (in our case; there may be more levels in general). The method of consistency-driven pairwise comparisons can be combined with other quantitative and qualitative assessment methods (including brainstorming and Delphi method). Non measurable criteria which often bypassed in other approaches, can be included in the presented model. The consistency-driven pairwise comparisons method contributes to the reliability of assessment through the consistency analysis and solid statistical studies show the accuracy improvement. The management capability merit index (MC-merit) and a procedure for computing it are introduced.

Słowa kluczowe

EN

pairwise comparisons; inconsistency analysis; expert opinion; management capability; business performance; assessment

PL

porównanie parami; opinie specjalistów; ocena przedsiębiorstwa; ocena

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2009
• Tom: Vol. 17, nr 1
• Strony: 55--70
• Opis fizyczny: Bibliogr. 19 poz.

Twórcy

autor

Koczkodaj W. W.

autor

LeBrasseur R.

autor

Wassilew A.

autor

Tadeusziewicz R.

• 1Laurentian University Department of Mathematics and Computer Science Ramsey Lake Road Sudbury, Ontario Canada P3E 2C6,

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