E3S Web Conf.
Volume 244, 2021XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|Number of page(s)||7|
|Section||Energy Management and Policy|
|Published online||19 March 2021|
Project team acquiring based on digital footprint
1 Vyatka State University, Moskovskaya str., 36, Kirov, 610000, Russia
2 Moscow State University of Civil Engineering, 26 Yaroslavskoye Shosse, Moscow, 129377, Russia
3 Vyatka State Agrotechnological University, Oktyabrsky avenue, 133, Kirov, 610017, Russia
* Corresponding author: email@example.com
Project management issues are closely related to a team acquiring. Traditionally considered factors are the level of experience, interest level, personal qualification, availability, and knowledge - do not take into account the interaction of team members. In this regard, the increased conflictogenic situation may complicates communication in the project and reduces its effectiveness. The proposed methodology analyzes the digital footprint of candidates who are the potential project team members in an intracorporate messenger. The analyzed elements are words nominating emotions, words describing emotions and emotive means (emoji, punctuation marks, Caps Lock symbols). Based on the analysis of the digital footprint, the diagnostics of the expected and avoidable characteristics of team members is carried out, a homogeneous environment is formed based on the median indicators. Selected project team members must correspond to discovered indicators or have minimal deviations. This technique can also be adapted for recruiting members into an already established team. Diagnostics must be done in a similar way, the group-specific characteristic must be identified, and suitable candidates should not deviate from the median value by more than 1 point. Thus, there is no model of an “ideal” team, since it is formed in the format of an ideal combination of existing members.
© The Authors, published by EDP Sciences, 2021
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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