An Approach to Changing Competence Assessment for Human Resources in Expert Networks

被引：1
|
作者：
Petrov, Mikhail [1 ,2 ]
机构：
[1] Russian Acad Sci SPC RAS, St Petersburg Fed Res Ctr, St Petersburg 199178, Russia
[2] ITMO Univ, Informat Technol & Programming Fac, St Petersburg 197101, Russia
来源：
FUTURE INTERNET | 2020年 / 12卷 / 10期
基金：
俄罗斯基础研究基金会;
关键词：
competence management; human resource management; changing competence assessment; expert networks; project management; SUCCESS; MANAGEMENT;
D O I：
10.3390/fi12100169
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An expert network is a community of professionals in a specific field, united by an information system, in which different tasks are solved. One of the main tasks in expert networks is the selection of specialists with specified competencies for joint problem solving. The main characteristic of an expert network member is a set of competencies, which includes both functional aspects and personal qualities. For this reason, the procedure for selecting specialists and ranking them is critical. Such a procedure uses specialists' competence assessments from the expert network. If these assessments are out of date, the project results can be unsuccessful. This article proposes an approach aimed at automating the assessment of the specialists' competencies based on the projects results. This approach consists of a reference model and an algorithm of competence assessment change for human resources. The paper also includes an algorithm evaluation on generated data.
引用
收藏
页码：1 / 10
页数：10
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