Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence
Document Type
Article
Publication Date
1-1-2018
Abstract
Nowadays, Human Resource Information System (HRIS) plays a strategic role in the decision making process for effective and efficient Human Resource Management (HRM). For Human Resource (HR) decision making, most of the researchers propose expert systems or knowledge-based systems. Unfortunately, there are some limitations in both of expert system and knowledge-based system. In this paper, we have proposed a framework of Intelligent Human Resource Information System (i-HRIS) applying Intelligent Decision Support System (IDSS) along with Knowledge Discovery in Database (KDD) to improve structured, especially semistructured and unstructured HR decision making process. Moreover, the proposed HR IDSS stores and processes information with a set of Artificial Intelligent (AI) tools such as knowledge-based reasoning, machine learning and others. These AI tools are used to discover useful information or knowledge from past data and experience to support decision making process. We have likewise attempted to investigate IDSS applications for HR problems applying hybrid intelligent techniques such as machine learning and knowledge-based approach for new knowledge extraction and prediction. In summation, the proposed framework consists of input subsystems, decision making subsystems and output subsystems with ten HR application modules.
Keywords
HRIS, KDD, DSS, framework
Divisions
FacultyofEconomicsAdministration,Education
Funders
Bright Spark Unit of the University of Malaya, Kuala Lumpur, Malaysia,UMRG-Frontier Science Cluster (Project No-RG300-14AFR), University of Malaya, Kuala Lumpur, Malaysia
Publication Title
International Arab Journal of Information Technology
Volume
15
Issue
1
Publisher
Zarka Private University