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A Novel Framework for Decision Support System in Human Resource Management

Year: 2020

Type: conference-paper

Abstract: The paper deals with the problem of supporting of a decision-making, prediction and decision validation in a human resource management system. In the paper a novel intelligent decision support system for human resource (HR) processes is discussed. The analytical path of the system has been designed and implemented, where machine learning algorithms have been proposed as basic tools for the monitoring different defined HR indicators. The paper includes the description of proposed approach and the discussion of selected experiments’ results.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2020.09.166

Authors: Ireneusz Czarnowski, Piotr Pszczółkowski

Institutions: Gdynia Maritime University, Statistics Poland

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: diamond

Funders: Uniwersytet Morski w Gdyni, European Commission, European Regional Development Fund