Analyzing manpower data of higher learning institutions: A Markov chain approach

The approach to manpower policy in most Malaysian universities appears to be guided by the traditional method of putting the right number of people in the right place at the right time or arranging for suitable number of people to be allocated to various jobs usually in a hierarchical structure.The...

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Main Author: Abdul Rahim, Rahela
Format: Article
Language:English
Published: Macrothink Institute 2015
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Online Access:http://repo.uum.edu.my/17416/1/IJHRS%2038-47.pdf
http://repo.uum.edu.my/17416/
http://doi.org/10.5296/ijhrs.v5i3.7969
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Institution: Universiti Utara Malaysia
Language: English
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spelling my.uum.repo.174162016-04-26T08:13:13Z http://repo.uum.edu.my/17416/ Analyzing manpower data of higher learning institutions: A Markov chain approach Abdul Rahim, Rahela QA75 Electronic computers. Computer science The approach to manpower policy in most Malaysian universities appears to be guided by the traditional method of putting the right number of people in the right place at the right time or arranging for suitable number of people to be allocated to various jobs usually in a hierarchical structure.The technique has been practiced for years.This traditional method is deficit in the sense that it neither offers computational tools that will enable administrators to determine possible line of action to be taken nor provide tools to generate alternative policies and strategies.The objective of this study was to design a planning model for projecting university faculty employment under alternative policy suggested by the government. The planning model was developed using Markov chain technique.Two scenarios were considered in the study; scenario 1 was based on historical data pattern between year 1999 – 2014 and scenario 2 was based on RMK 9 policies.The results showed the possibility average length of stay by position and probability of loss for both scenarios. The greater impact is expected for average length of stay of senior lecturers compared to other faculty position considering the new policy. Macrothink Institute 2015 Article PeerReviewed application/pdf en cc_by_nc_nd http://repo.uum.edu.my/17416/1/IJHRS%2038-47.pdf Abdul Rahim, Rahela (2015) Analyzing manpower data of higher learning institutions: A Markov chain approach. International Journal of Human Resource Studies, 5 (3). pp. 38-47. ISSN 2162-3058 http://doi.org/10.5296/ijhrs.v5i3.7969 doi:10.5296/ijhrs.v5i3.7969
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abdul Rahim, Rahela
Analyzing manpower data of higher learning institutions: A Markov chain approach
description The approach to manpower policy in most Malaysian universities appears to be guided by the traditional method of putting the right number of people in the right place at the right time or arranging for suitable number of people to be allocated to various jobs usually in a hierarchical structure.The technique has been practiced for years.This traditional method is deficit in the sense that it neither offers computational tools that will enable administrators to determine possible line of action to be taken nor provide tools to generate alternative policies and strategies.The objective of this study was to design a planning model for projecting university faculty employment under alternative policy suggested by the government. The planning model was developed using Markov chain technique.Two scenarios were considered in the study; scenario 1 was based on historical data pattern between year 1999 – 2014 and scenario 2 was based on RMK 9 policies.The results showed the possibility average length of stay by position and probability of loss for both scenarios. The greater impact is expected for average length of stay of senior lecturers compared to other faculty position considering the new policy.
format Article
author Abdul Rahim, Rahela
author_facet Abdul Rahim, Rahela
author_sort Abdul Rahim, Rahela
title Analyzing manpower data of higher learning institutions: A Markov chain approach
title_short Analyzing manpower data of higher learning institutions: A Markov chain approach
title_full Analyzing manpower data of higher learning institutions: A Markov chain approach
title_fullStr Analyzing manpower data of higher learning institutions: A Markov chain approach
title_full_unstemmed Analyzing manpower data of higher learning institutions: A Markov chain approach
title_sort analyzing manpower data of higher learning institutions: a markov chain approach
publisher Macrothink Institute
publishDate 2015
url http://repo.uum.edu.my/17416/1/IJHRS%2038-47.pdf
http://repo.uum.edu.my/17416/
http://doi.org/10.5296/ijhrs.v5i3.7969
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