Using analytic hierarchy process (AHP) to improve human performance: An application of multiple criteria decision making problem: Intelligent Manufacturing Systems: Vision for the Future (Guest Editors: Ercan Öztemel, Cemalettin Kubat and Harun Taşkin)

Author: Albayrak Esra   Erensal Yasemin Claire  

Publisher: Springer Publishing Company

ISSN: 0956-5515

Source: Journal of Intelligent Manufacturing, Vol.15, Iss.4, 2004-08, pp. : 491-503

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Abstract

In the global economy, the modern commercial and industrial organization needs to develop better methods of assessing the performance of the human resource than simply using performance measures such as efficiency or effectiveness. As organizations seek more aggressive ways to cut costs and to increase global competitiveness, the importance of establishing and sustaining high levels of employee performance increases. The main purpose of this paper is to solve the human performance improvement problem by employing Analytic Hierarchy Process (AHP) method. Decision makers (DMs) often deal with problems that involve multiple criteria. At given moments in time, companies will display characteristics that make certain factors; key factors in their competences. In this paper, we present a model, which illustrates the relations and importance between human performance improvement and the style of management. In using the AHP to model this problem, we developed a hierarchic structure to represent the problem of human performance management and made pairwise comparisons. In this paper, the AHP is suggested as a tool for implementing a multiple criteria performance improvement scheme. The AHP was used for the purpose of structuring and clarifying the relations and importance between human performance improvement and the style of management. The study found that in terms of company culture, participation, human capability, and attitudes the best management style in improving human performance is management by values.

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