MATEC Web Conf.
Volume 121, 20178th International Conference on Manufacturing Science and Education – MSE 2017 “Trends in New Industrial Revolution”
|Number of page(s)||8|
|Section||Management and Economic Engineering|
|Published online||09 August 2017|
Assessment procedure for the soft skills requested by Industry 4.0
1 University POLITEHNICA of Bucharest, Training for Teaching Career and Social Sciences Department, 060042, Romania
2 University POLITEHNICA of Bucharest, Training 060042, Romania
* Corresponding author: firstname.lastname@example.org
In the context of an increasingly more performant global and informational environment, as the one found in the virtual organization, the process of selecting and evaluating the human resources holds a particular important role. The premise behind this article is that of the need to adapt the human resource performance to the requests of the industry 4.0 being supported by the organizational culture. Following the analysis of the state of the art literature we concluded that there is no clear procedure for the assessment of the constellation of skills and personal qualities – soft skills requested by industry 4.0. These capabilities should complete professional technical hard-skills; the procedure should provide a map for the constellation of capabilities necessary to adapt and perform, in specific industry 4.0 activities. Current psychological evaluation systems consider only some of such requested capabilities not always the most relevant. To solve this problem, we tried to identify and evaluate what we considered as the core of the complex various skills required. Our research was centred on the use of a psychological instrument for evaluating transversal capabilities. The capabilities map needed for the evaluation and selection of the human resource fit to work in the industry 4.0 environment was designed after the application of this complex system of evaluation on successive series of students from the University POLITEHNICA of Bucharest.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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