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C05 BelcourtSHRP7e PPT Determining HR Demand

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Copyright © 2019 by Nelson Education Ltd.
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Determining HR Demand
Copyright © 2019 by Nelson Education Ltd.
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Understand the importance of demand forecasting in
the HR planning process
Recognize the linkages between the HR plan, labour
demand forecasting techniques, and the subsequent
supply stage
Compare and contrast the advantages and
disadvantages of various demand forecasting
techniques, including quantitative, qualitative, and
blended techniques
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Firm’s future need for human capital, the types of jobs,
and the number of positions that must be filled for the
firm to implement its strategy
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Trend analysis
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Ratio analysis
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Time series models
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Regression analysis
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Structural equation modelling (SEM)
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Forecast future human capital needs by extrapolating
from historical changes in one or more organizational
indices
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Select the appropriate business/operational index
Track the business index over time
Track the workforce size over time
Calculate the average ratio of the business index to the
workforce size
Calculate the forecasted demand for labour
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A straightforward method of examining the
relationship between an operational index and the
demand for labour
• Can be used to calculate demand requirements for direct
labour and indirect labour
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Use past data to predict future demand
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Can be a simple moving average or a weighted moving
average, or use exponential smoothing
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Presupposes that a linear relationship exists between
one or more independent (causal, or predictor)
variables, which are predicted to affect the dependent
(criterion) variable, future HR demand for human
capital
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Regression models help HR planners to use large
amounts of organizational data
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These models can be easily adapted to reflect
organizational changes or new assumptions, and are a
good choice for short-term, medium-term, and longterm forecasts
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Y = A + BX
Y = dependent (target) variable
A = constant (y intercept)
B = slope of linear relationship between X and Y
X = independent (causal) variable
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A statistical technique that permits the testing of
multiple relationships simultaneously in a theoretically
derived model
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Forecasters can develop a model of labour demand
based on their own theory as to what factors may be
driving demand
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Scenario planning
• Method most often used to develop organizational
strategy
• Participants envision possible future conditions in
which the organization might operate
• Requires participants to challenge existing
assumptions and to generate vivid pictures of
possible future states
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Propose the forecasting question about the future
state of the firm or environment
Generate a list of factors that are likely to influence
the outcome in question
Sort the factors into naturally occurring groups and
rank the groups according to their importance to the
main question and the ability of the firm to control
the factor
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4.
5.
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7.
Select the two groups of factors that are likely to
have the strongest and most unpredictable impact
on the question and create four quadrants
Name and describe in story form each of the
resulting quadrants
Suggest the skills, competencies, and organizational
requirements that would be necessary for the firm to
be able to operate in each of these four worlds
Generate a demand forecast necessary to fulfill the
firm’s requirements in each of the four worlds
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A process in which the forecasts and judgments of a
selected group of experts are solicited and
summarized in an attempt to determine the future HR
demand
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Avoids many of the problems associated with face-toface groups including reluctance on the part of
individual experts to participate
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Time and costs
Results cannot be validated statistically
Selection of experts can skew the results
Potentially insufficient attention given to developing
criteria due to having too narrow a scope of experts
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Define and refine the issue or question
Identify the experts, terms, and time horizon
Orient the experts
Issue the first-round questionnaire
Issue the first-round questionnaire summary and
second round of questionnaires
Continue issuing questionnaires
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Long-run forecasting technique utilizing expert
assessments
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Quantitative, operational, or short-run demand
estimates that contain the number and types of jobs
required by the organization as a whole and for each
subunit, division, or department
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HR budget process produces a staffing table
Information about a set of operational assumptions or
levels of activity
Total HR demand requirement for operational or
short-run time periods
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Two basic methods can both be used in order to test
the reliability of the forecast
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TYPE OF DATA
Quantitative
Qualitative
Economic Outlook
Economic Outlook
Labour-force growth
Demographics
Labour-force projections
Political and regulatory environment
Industry projections
Technological change
Occupational projections
Societal change
TYPE OF RESULTS
Quantitative
Detailed, numeric estimates
Qualitative
More specific information that can easily be used to
produce HR system development plans
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A blend of qualitative and quantitative modelling that
incorporates a set of assumptions about relationships
among variables in a mathematical algorithm
Can simultaneously model demand and supply, and is
very useful for testing the impact of assumptions on
the outcome of the model
Can aid in the development of a better understanding
of what factors influence demand and supply, and
what processes may be causing bottlenecks in the flow
of human capital
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Using qualitative methods, collect the relevant variables
Describe how these variables interact together by
developing a process model to map the relationships
between variables
Use simulation software and develop the algorithms to
estimate the model
Test the model using historical data to validate the
assumptions used in its development
Different assumptions can be easily tested in the model by
inputting new scenarios and re-running the simulation
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This chapter examined various quantitative,
qualitative, and blended techniques that organizations
use to forecast future requirements for HR demand
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