SIS PUT | Human resources optimization with MARS and ANN: Innovation geolocation model for generation Z

Processing may take a few seconds...

Menu

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Publications / Human resources optimization with MARS and ANN: Innovation geolocation model for generation Z

Submit a comment

Article

Title

Human resources optimization with MARS and ANN: Innovation geolocation model for generation Z

Authors

Magdalena Graczyk-Kucharska (WIZ) ^{[ 1 ][ 5.6 ][ P ]}
Robert Olszewski
Marek Goliński (WIZ) ^{[ 1 ][ 5.6 ][ P ]}
Małgorzata Spychała (WIZ) ^{[ 1 ][ 5.6 ][ P ]}
Maciej Szafrański (WIZ) ^{[ 1 ][ 5.6 ][ P ]}
Gerhard Weber (WIZ) ^{[ 1 ][ 5.6 ][ P ]}
Marek Miądowicz (WIZ) ^{[ 1 ][ 5.4 ][ P ]}

^{[ 1 ]} Instytut Inżynierii Bezpieczeństwa i Jakości, Wydział Inżynierii Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[5.4] Communication and media studies
[5.6] Management and quality studies

Year of publication

2022

Published in

Journal of Industrial and Management Optimization

Journal year: 2022 | Journal volume: in press

Article type

scientific article

Publication language

english

Keywords

EN

Artificial Intelligence
Human Resources Management
Innovation
Operational Research
Geolocation
Generation Z
ANN
MARS
Data Science

DOI

10.3934/jimo.2021149

URL

https://www.aimsciences.org/article/doi/10.3934/jimo.2021149

Points of MNiSW / journal

70.0

Impact Factor

1.801 [List 2020]

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

Log in through eKonto to add to SIS

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.