

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
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
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.
Related content


By Öztemel Ercan Kubat Cemalettin Taşkin Harun
Journal of Intelligent Manufacturing, Vol. 15, Iss. 4, 2004-08 ,pp. :


By Dereli Türkay Baykasoğlu Adil
Journal of Intelligent Manufacturing, Vol. 15, Iss. 4, 2004-08 ,pp. :


By Karayel DurmuŞ Özkan S. Serdar Keleş Rüstem
Journal of Intelligent Manufacturing, Vol. 15, Iss. 4, 2004-08 ,pp. :


By Geyik Faruk Cedimoglu Ismail Hakki
Journal of Intelligent Manufacturing, Vol. 15, Iss. 4, 2004-08 ,pp. :


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