The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection
The academic staff selection for any organization is an important process that involves in decision making process. The process must be carried out carefully because it involves some important aspects towards the staff selection. During the interview session, the selection process based on five crit...
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| Format: | Article |
| Language: | English |
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Science Publishing Corporation Inc
2018
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| Online Access: | https://repo.uum.edu.my/id/eprint/31052/1/IJET%2007%203.21%202018%20181-184.pdf https://www.sciencepubco.com/index.php/ijet/article/view/17157 |
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| author | W. Muhamad Radzi, Wan Norsyafawati Nordin, Norshahrizan Ramli, Razamin Abashah, Aidanazima Ramlan, Sayang Nurshahrizleen |
| author_facet | W. Muhamad Radzi, Wan Norsyafawati Nordin, Norshahrizan Ramli, Razamin Abashah, Aidanazima Ramlan, Sayang Nurshahrizleen |
| author_sort | W. Muhamad Radzi, Wan Norsyafawati |
| collection | UUM |
| description | The academic staff selection for any organization is an important process that involves in decision making process. The process must be carried out carefully because it involves some important aspects towards the staff selection. During the interview session, the selection process based on five criteria of the applicant. The five selection criteria consists of academic qualification, religious knowledge, community services, knowledge, and communication skills. Furthermore, the selection of applicants for the academic ability and suitability with the field in order to make the selection process is becoming more complex. The selection of the applicants for academic staff also relies on judgments of the committee that was appointed for interviewing the applicants with a lot of experience in the selection of academic staff applicant. The study finds that the objectives are to identify all criteria relevant to the selection of staffs. The technique used in giving weights to each criterion is Analytical Hierarchy Process (AHP) technique. As a result, the highest weight was assigned to the first criteria which are academic qualification with the weight 0.3423. It shows that the academic qualification was the most important criterion compared to the other criteria. In addition, the selection of applicant for academic staff is able to assist in the selection of potential qualified academic staff |
| first_indexed | 2024-10-01T01:43:35Z |
| format | Article |
| id | uum-31052 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-10-01T01:43:35Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation Inc |
| record_format | eprints |
| spelling | uum-310522024-07-15T09:16:00Z https://repo.uum.edu.my/id/eprint/31052/ The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection W. Muhamad Radzi, Wan Norsyafawati Nordin, Norshahrizan Ramli, Razamin Abashah, Aidanazima Ramlan, Sayang Nurshahrizleen QA Mathematics The academic staff selection for any organization is an important process that involves in decision making process. The process must be carried out carefully because it involves some important aspects towards the staff selection. During the interview session, the selection process based on five criteria of the applicant. The five selection criteria consists of academic qualification, religious knowledge, community services, knowledge, and communication skills. Furthermore, the selection of applicants for the academic ability and suitability with the field in order to make the selection process is becoming more complex. The selection of the applicants for academic staff also relies on judgments of the committee that was appointed for interviewing the applicants with a lot of experience in the selection of academic staff applicant. The study finds that the objectives are to identify all criteria relevant to the selection of staffs. The technique used in giving weights to each criterion is Analytical Hierarchy Process (AHP) technique. As a result, the highest weight was assigned to the first criteria which are academic qualification with the weight 0.3423. It shows that the academic qualification was the most important criterion compared to the other criteria. In addition, the selection of applicant for academic staff is able to assist in the selection of potential qualified academic staff Science Publishing Corporation Inc 2018 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/31052/1/IJET%2007%203.21%202018%20181-184.pdf W. Muhamad Radzi, Wan Norsyafawati and Nordin, Norshahrizan and Ramli, Razamin and Abashah, Aidanazima and Ramlan, Sayang Nurshahrizleen (2018) The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection. International Journal of Engineering & Technology, 7 (3.21). pp. 181-184. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/17157 https://www.sciencepubco.com/index.php/ijet/article/view/17157 https://www.sciencepubco.com/index.php/ijet/article/view/17157 |
| spellingShingle | QA Mathematics W. Muhamad Radzi, Wan Norsyafawati Nordin, Norshahrizan Ramli, Razamin Abashah, Aidanazima Ramlan, Sayang Nurshahrizleen The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection |
| title | The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection |
| title_full | The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection |
| title_fullStr | The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection |
| title_full_unstemmed | The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection |
| title_short | The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection |
| title_sort | use of analytical hierarchy process in identifying weight age criteria for academic staff selection |
| topic | QA Mathematics |
| url | https://repo.uum.edu.my/id/eprint/31052/1/IJET%2007%203.21%202018%20181-184.pdf https://www.sciencepubco.com/index.php/ijet/article/view/17157 |
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