Project team acquiring based on digital footprint
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 conflictogeni...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/20/e3sconf_emmft2020_11025.pdf |
| _version_ | 1818603091199524864 |
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| author | Ganebnykh Elena Fokina Olga Lunyakov Mikhail Milchik Irina |
| author_facet | Ganebnykh Elena Fokina Olga Lunyakov Mikhail Milchik Irina |
| author_sort | Ganebnykh Elena |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T13:17:39Z |
| format | Article |
| id | doaj.art-a751822c99b64184bab47b6c52201dd3 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-16T13:17:39Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-a751822c99b64184bab47b6c52201dd32022-12-21T22:30:27ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012441102510.1051/e3sconf/202124411025e3sconf_emmft2020_11025Project team acquiring based on digital footprintGanebnykh Elena0Fokina Olga1Lunyakov Mikhail2Milchik Irina3Vyatka State UniversityVyatka State UniversityMoscow State University of Civil EngineeringVyatka State Agrotechnological UniversityProject 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/20/e3sconf_emmft2020_11025.pdf |
| spellingShingle | Ganebnykh Elena Fokina Olga Lunyakov Mikhail Milchik Irina Project team acquiring based on digital footprint E3S Web of Conferences |
| title | Project team acquiring based on digital footprint |
| title_full | Project team acquiring based on digital footprint |
| title_fullStr | Project team acquiring based on digital footprint |
| title_full_unstemmed | Project team acquiring based on digital footprint |
| title_short | Project team acquiring based on digital footprint |
| title_sort | project team acquiring based on digital footprint |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/20/e3sconf_emmft2020_11025.pdf |
| work_keys_str_mv | AT ganebnykhelena projectteamacquiringbasedondigitalfootprint AT fokinaolga projectteamacquiringbasedondigitalfootprint AT lunyakovmikhail projectteamacquiringbasedondigitalfootprint AT milchikirina projectteamacquiringbasedondigitalfootprint |