Designing an Optimal Pattern of Assessing Native and Non-Native Managers’ Performance in Hormozgan Province, Iran

Nowadays, the issue of public sector managers’ responsiveness to their actions in the newmanagerial environment is addressed more intensely. Therefore, in the modern attitude,assessing managers’ performance as a framework for implementing strategies and policies,achieving organizational goals, and their responsiveness to beneficiaries and the society isconsidered. This study aims to develop an optimal pattern to assess native and non-nativemanagers’ performance in terms of four aspects of human, perceptual, and technical skillsas well as personal traits and measure their performance through the combination of ۳۶۰ –degree feedback and analytic network process. The statistical population consists of twogroups of native and non-native managers in key posts in Hormozgan province. Therequired samples, who were selected through proportional stratified random sampling, forthe groups of native and non-native managers are respectively estimated to be ۳۱ and ۲۳.The indices of performance assessment were extracted through the meta-synthesis methodand validated using the Delphi technique and experts’ opinions. By combining ۳۶۰-degreefeedback and analytic network process, native and non-native managers were appropriatelyranked, which this ranking can be applied to administrative agencies of HormozganProvince.

کلیدواژه ها:

Native and non-native managers ، Performance assessment ، ۳۶۰- degree feedback ، Analytic network process