A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making

The process of retaining leadership succession at higher education institutions (HEI) is crucial since it has entailed the process of selecting the ideal candidate. The goal is to guide universities toward maintaining organizations' excellence in their academic leadership and management (ALM) p...

Full description

Bibliographic Details
Main Authors: Yau'mee Hayati, Hj Mohamed Yusof, Awanis, Romli, Ruzaini, Abdullah Arshah, Azira, Abdul Aziz
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/39184/1/A%20Sensitivity%20Analysis%20for%20Roles%20Selection%20in%20Hybrid%20Multi-Criteria%20Decision.pdf
_version_ 1825815251272073216
author Yau'mee Hayati, Hj Mohamed Yusof
Awanis, Romli
Ruzaini, Abdullah Arshah
Azira, Abdul Aziz
author_facet Yau'mee Hayati, Hj Mohamed Yusof
Awanis, Romli
Ruzaini, Abdullah Arshah
Azira, Abdul Aziz
author_sort Yau'mee Hayati, Hj Mohamed Yusof
collection UMP
description The process of retaining leadership succession at higher education institutions (HEI) is crucial since it has entailed the process of selecting the ideal candidate. The goal is to guide universities toward maintaining organizations' excellence in their academic leadership and management (ALM) positions. Due to the lack of established standards for assessing the competency of possible successors at their home institutions, many ALM of Malaysia HEIs is difficult to identify the proper replacement for their posts. This study aims to propose a multi-criteria tacit knowledge acquisition framework (MC-TKAF) for supporting talent development intervention programs in Malaysia HEIs. It will be based on cognitive apprenticeship, socialization, and informal learning theory which is mostly used in acquiring knowledge from expertise to overcome talent bottlenecks among novices. Fuzzy Delphi will be used as the primary methodology in this study to gather agreement regarding the appropriate indicator to measure tacit knowledge competency among ALMs at Malaysian HEIs. There are three phases: Phase 1 involves analysing the current tacit knowledge acquisition (TKA) and identifying the appropriate parameters to build the intended framework. Phase 2 involves using the results of Phase 1 to create a new framework of tacit knowledge acquisition (TKAF) that is appropriate for the HEI environment. Phase 3's final objective is to assess the viability of the Talent Development Intervention Program's (TDIP) Tacit Knowledge Acquisition Framework (TKAF) utilizing the Multi-Criteria Decision Making (MCDM) approach. This paper's goal is to offer the hybrid MCDM approach as a talent performance indicator for the multi-criteria tacit acquisition framework. The final Phase 3 of the study design will essentially be the subject of this paper. The built-in indicators in this document may be utilized as a guide for the HEI sectors to create talent performance metrics that are appropriate for each TKA applied.
first_indexed 2024-03-06T13:10:43Z
format Article
id UMPir39184
institution Universiti Malaysia Pahang
language English
last_indexed 2024-03-06T13:10:43Z
publishDate 2023
publisher Semarak Ilmu Publishing
record_format dspace
spelling UMPir391842023-11-06T00:09:38Z http://umpir.ump.edu.my/id/eprint/39184/ A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making Yau'mee Hayati, Hj Mohamed Yusof Awanis, Romli Ruzaini, Abdullah Arshah Azira, Abdul Aziz QA75 Electronic computers. Computer science T Technology (General) The process of retaining leadership succession at higher education institutions (HEI) is crucial since it has entailed the process of selecting the ideal candidate. The goal is to guide universities toward maintaining organizations' excellence in their academic leadership and management (ALM) positions. Due to the lack of established standards for assessing the competency of possible successors at their home institutions, many ALM of Malaysia HEIs is difficult to identify the proper replacement for their posts. This study aims to propose a multi-criteria tacit knowledge acquisition framework (MC-TKAF) for supporting talent development intervention programs in Malaysia HEIs. It will be based on cognitive apprenticeship, socialization, and informal learning theory which is mostly used in acquiring knowledge from expertise to overcome talent bottlenecks among novices. Fuzzy Delphi will be used as the primary methodology in this study to gather agreement regarding the appropriate indicator to measure tacit knowledge competency among ALMs at Malaysian HEIs. There are three phases: Phase 1 involves analysing the current tacit knowledge acquisition (TKA) and identifying the appropriate parameters to build the intended framework. Phase 2 involves using the results of Phase 1 to create a new framework of tacit knowledge acquisition (TKAF) that is appropriate for the HEI environment. Phase 3's final objective is to assess the viability of the Talent Development Intervention Program's (TDIP) Tacit Knowledge Acquisition Framework (TKAF) utilizing the Multi-Criteria Decision Making (MCDM) approach. This paper's goal is to offer the hybrid MCDM approach as a talent performance indicator for the multi-criteria tacit acquisition framework. The final Phase 3 of the study design will essentially be the subject of this paper. The built-in indicators in this document may be utilized as a guide for the HEI sectors to create talent performance metrics that are appropriate for each TKA applied. Semarak Ilmu Publishing 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/39184/1/A%20Sensitivity%20Analysis%20for%20Roles%20Selection%20in%20Hybrid%20Multi-Criteria%20Decision.pdf Yau'mee Hayati, Hj Mohamed Yusof and Awanis, Romli and Ruzaini, Abdullah Arshah and Azira, Abdul Aziz (2023) A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making. Journal of Advanced Research in Applied Sciences and Engineering Technology, 31 (1). pp. 210-225. ISSN 2462-1943. (Published) https://doi.org/10.37934/araset.31.1.210225 10.37934/araset.31.1.210225
spellingShingle QA75 Electronic computers. Computer science
T Technology (General)
Yau'mee Hayati, Hj Mohamed Yusof
Awanis, Romli
Ruzaini, Abdullah Arshah
Azira, Abdul Aziz
A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making
title A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making
title_full A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making
title_fullStr A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making
title_full_unstemmed A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making
title_short A Sensitivity Analysis for Roles Selection in Hybrid Multi-Criteria Decision Making
title_sort sensitivity analysis for roles selection in hybrid multi criteria decision making
topic QA75 Electronic computers. Computer science
T Technology (General)
url http://umpir.ump.edu.my/id/eprint/39184/1/A%20Sensitivity%20Analysis%20for%20Roles%20Selection%20in%20Hybrid%20Multi-Criteria%20Decision.pdf
work_keys_str_mv AT yaumeehayatihjmohamedyusof asensitivityanalysisforrolesselectioninhybridmulticriteriadecisionmaking
AT awanisromli asensitivityanalysisforrolesselectioninhybridmulticriteriadecisionmaking
AT ruzainiabdullaharshah asensitivityanalysisforrolesselectioninhybridmulticriteriadecisionmaking
AT aziraabdulaziz asensitivityanalysisforrolesselectioninhybridmulticriteriadecisionmaking
AT yaumeehayatihjmohamedyusof sensitivityanalysisforrolesselectioninhybridmulticriteriadecisionmaking
AT awanisromli sensitivityanalysisforrolesselectioninhybridmulticriteriadecisionmaking
AT ruzainiabdullaharshah sensitivityanalysisforrolesselectioninhybridmulticriteriadecisionmaking
AT aziraabdulaziz sensitivityanalysisforrolesselectioninhybridmulticriteriadecisionmaking