A Critical Review of Forecasting Models to Predict Manpower Demand

Forecasting manpower requirements has been useful for economic planners, policy makers and training providers in order to avoid the imbalance of skills in the labour market. Although reviews of the manpower planning models have been conducted previously, with the accumulated experience and the boom...

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Main Authors: James Wong, Albert Chan, Y.H Chiang
Format: Article
Language:English
Published: UTS ePRESS 2012-11-01
Series:Construction Economics and Building
Subjects:
Online Access:https://learning-analytics.info/journals/index.php/AJCEB/article/view/2930
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spelling doaj-eab3bf7a954f4e4ab94763dd1994a4dc2020-11-25T00:41:05ZengUTS ePRESSConstruction Economics and Building2204-90292012-11-014210.5130/AJCEB.v4i2.29301899A Critical Review of Forecasting Models to Predict Manpower DemandJames Wong0Albert Chan1Y.H Chiang2Hong Kong Polytechnic UniversityHong Kong Polytechnic UniversityHong Kong Polytechnic University Forecasting manpower requirements has been useful for economic planners, policy makers and training providers in order to avoid the imbalance of skills in the labour market. Although reviews of the manpower planning models have been conducted previously, with the accumulated experience and the booming of advanced statistical techniques and computer programs, the study of forecasting practices has undrgone considerable changes and achieved maturity during the past decade. This paper assesses the latest employment and manpower dmand estimating methods by examining their rationale, strength and constraints. It aims to identify enhancements for further development of manpower forecasting model for the construction industry and compare the reliability and capacity of different forecasting metodologies. It is cocluded that the top-down forecasting approach is the dominant methodology to forecast occupational manpower demand. It precedes other methodologies by its dynamic nature and sensitivity to aa variety of factors affecting the level and structure of employment. Given the improvement of the data available, advanced modelling techniques and computer programs, manpower planning is likely to be more accessible with improved accuracy at every level of the society.   https://learning-analytics.info/journals/index.php/AJCEB/article/view/2930employment forecastingforecasting modelsmanpower planningmanpower demandconstruction industry
collection DOAJ
language English
format Article
sources DOAJ
author James Wong
Albert Chan
Y.H Chiang
spellingShingle James Wong
Albert Chan
Y.H Chiang
A Critical Review of Forecasting Models to Predict Manpower Demand
Construction Economics and Building
employment forecasting
forecasting models
manpower planning
manpower demand
construction industry
author_facet James Wong
Albert Chan
Y.H Chiang
author_sort James Wong
title A Critical Review of Forecasting Models to Predict Manpower Demand
title_short A Critical Review of Forecasting Models to Predict Manpower Demand
title_full A Critical Review of Forecasting Models to Predict Manpower Demand
title_fullStr A Critical Review of Forecasting Models to Predict Manpower Demand
title_full_unstemmed A Critical Review of Forecasting Models to Predict Manpower Demand
title_sort critical review of forecasting models to predict manpower demand
publisher UTS ePRESS
series Construction Economics and Building
issn 2204-9029
publishDate 2012-11-01
description Forecasting manpower requirements has been useful for economic planners, policy makers and training providers in order to avoid the imbalance of skills in the labour market. Although reviews of the manpower planning models have been conducted previously, with the accumulated experience and the booming of advanced statistical techniques and computer programs, the study of forecasting practices has undrgone considerable changes and achieved maturity during the past decade. This paper assesses the latest employment and manpower dmand estimating methods by examining their rationale, strength and constraints. It aims to identify enhancements for further development of manpower forecasting model for the construction industry and compare the reliability and capacity of different forecasting metodologies. It is cocluded that the top-down forecasting approach is the dominant methodology to forecast occupational manpower demand. It precedes other methodologies by its dynamic nature and sensitivity to aa variety of factors affecting the level and structure of employment. Given the improvement of the data available, advanced modelling techniques and computer programs, manpower planning is likely to be more accessible with improved accuracy at every level of the society.  
topic employment forecasting
forecasting models
manpower planning
manpower demand
construction industry
url https://learning-analytics.info/journals/index.php/AJCEB/article/view/2930
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