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Designing an Optimal Pattern of Assessing Native and Non-Native Managers’ Performance in Sweden
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Lars Karlstun *   1, Linda Hultec |
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Abstract: (248 Views) |
Nowadays, the issue of public sector managers’ responsiveness to their actions in the new governance environment will be 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 is considered. This study aims to develop an optimal pattern to assess native and non-native managers’ performance in terms of four aspects of human, perceptual, and technical skills as well as personal traits and measure their performance through the combination of 360 –degree feedback and analytic network process. The statistical population consists of two groups of native and non-native managers in key posts in Stockholm province who were selected through proportional stratified random sampling. The required samples for the groups of native and non-native managers are respectively estimated to be 31 and 23. The indices of performance assessment are extracted through the meta-synthesis method and validated using the Delphi technique and experts’ opinions. By combining 360-degree feedback and analytic network process, native and non-native managers were appropriately ranked, which this ranking can be applied to administrative agencies. |
Article number: 2 |
| Keywords: Native and non-native managers, Performance assessment, Analytic net-work process |
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Full-Text [PDF 1122 kb]
(70 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2022/06/13 | Accepted: 2022/07/22 | Published: 2022/10/11
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