Intelligent Human Resource Information System (i-HRIS):
A Holistic Decision Support Framework for HR Excellence
Abdul-Kadar Masum1, Loo-See Beh1,
Abul-Kalam Azad2, and Kazi Hoque3
1Department of Administrative Studies and Politics,
University of Malaya, Malaysia
2Department of Applied Statistics, University
of Malaya, Malaysia
3Department
of Educational Management, Planning and Policy, University of Malaya, Malaysia
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.
Received October 1, 2014; accepted August 12, 2015