Modeling for Human Resources Management by Data Mining, Analytics and Artificial Intelligence in the Logistics Departments
[ 1 ] Instytut Inżynierii Bezpieczeństwa i Jakości, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ 2 ] Instytut Zarządzania i Systemów Informacyjnych, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ P ] employee | [ SzD ] doctoral school student
2020
chapter in monograph
english
- Professional skills
- Labor market
- Supply chain management
- Logistics
- HRM
- MARS
- ANN
EN As a result of the environment changes, all Logistic Departments need to cover gaps between their needs and possibilities in regard to resources potential available in market and customer requirements. In addition to material re-sources, there are also intangible resources like knowledge, attitude and skills (part of HR). A pioneering mathematic-supported study was done with respect to technical skills of students from IT Departments at technical high schools. We achieve a mathematical model representing possible contributions of students into jobs through professional skills, subject to soft skills, common skills and other socio-economic variables in time. A general aim is to explore the effects between variables, the structure, stability and sensitivity of the model. Thus, the needs in Logistics are addressed through decision aid, educational improvements, programs and measurements. We take a genuine lead to networking and modelling side of HRM by modern Data Mining, Analytics and AI. Herewith, human and educational factors are addressed in Logistics, eventually for a best balance between job offers and demands. The resulting models are compared by the help of statistical performance criteria, they are discussed, interpreted, evaluated, and economic as well as educational implications are derived.
13.12.2020
291 - 303
20
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