Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence
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, the...
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| Format: | Article |
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Zarka Private University
2018
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| _version_ | 1796961409940062208 |
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| author | Masum, Abdul Kadar Muhammad Beh, Loo See Azad, Abul Kalam Hoque, Kazi Enamul |
| author_facet | Masum, Abdul Kadar Muhammad Beh, Loo See Azad, Abul Kalam Hoque, Kazi Enamul |
| author_sort | Masum, Abdul Kadar Muhammad |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:53:50Z |
| format | Article |
| id | um.eprints-21325 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:53:50Z |
| publishDate | 2018 |
| publisher | Zarka Private University |
| record_format | dspace |
| spelling | um.eprints-213252019-05-27T05:23:14Z http://eprints.um.edu.my/21325/ Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence Masum, Abdul Kadar Muhammad Beh, Loo See Azad, Abul Kalam Hoque, Kazi Enamul HD Industries. Land use. Labor QA75 Electronic computers. Computer science 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. Zarka Private University 2018 Article PeerReviewed Masum, Abdul Kadar Muhammad and Beh, Loo See and Azad, Abul Kalam and Hoque, Kazi Enamul (2018) Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence. International Arab Journal of Information Technology, 15 (1). pp. 121-130. ISSN 1683-3198, http://iajit.org/PDF/January%202018,%20No.%201/9605.pdf |
| spellingShingle | HD Industries. Land use. Labor QA75 Electronic computers. Computer science Masum, Abdul Kadar Muhammad Beh, Loo See Azad, Abul Kalam Hoque, Kazi Enamul Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence |
| title | Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence |
| title_full | Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence |
| title_fullStr | Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence |
| title_full_unstemmed | Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence |
| title_short | Intelligent human resource information system (i-HRIS): A holistic decision support framework for HR excellence |
| title_sort | intelligent human resource information system i hris a holistic decision support framework for hr excellence |
| topic | HD Industries. Land use. Labor QA75 Electronic computers. Computer science |
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