E3S Web Conf.
Volume 210, 2020Innovative Technologies in Science and Education (ITSE-2020)
|Number of page(s)||8|
|Section||Professional Development for Ecologists|
|Published online||04 December 2020|
Digital generation representatives of various professional success levels: psychological features
1 Don State Technical University, 344003, Gagarin Square 1, Rostov–on–Don, Russia
2 Northern (Arctic) Federal University named after M.V. Lomonosov, 163002, Severnaya Dvina Embankment 17, Arkhangelsk, Russia
* Corresponding author: email@example.com
The article presents the values of the individual psychological features of sales managers, reinforcing their professional effectiveness. The novelty lies in the fact that the individual psychological features of managers belonging to the digital generation, manifested in mental activity, interpersonal relationships and emotional reactions to the effects of the environment were studied. The following methods were used: the method of determining of the types of thinking and the level of creativity by G. Bruner, self-assessment of mental states by H. Eysenck, diagnostics of interpersonal relationships by T. Leary, test «Motivational profile» by Sh. Richie and P. Martin, PSM25 by Lemour-Tessier-Fillion adapted by N.E. Vodopyanova, the technique of diagnostics of the type of the emotional reaction to the stimuli of the environment by V. V. Boyko. We calculated primary statistics and used the criteria analysis applying the Student's t-test. The results showed that: there are significant differences in individual psychological peculiarities of sales managers with different levels of professional efficiency. Effective managers are more aggressive, more closed, do not seek long-term relationships, financially oriented, have a need for achievements, recognition. Ineffective managers are more rigid, anxious, frustrated, aggressive, seek structured work, focused on long-term relationships, have a low need for self-improvement.
© The Authors, published by EDP Sciences, 2020
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.