Human Resource Planning -- Outl ine I. What is it? II. Why is it important? III. How is it done? IV. Is it really done?
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Human Resource Planning -- Outline
I. What is it?
II. Why is it important?
III. How is it done?
IV. Is it really done?
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I. What is it?
Human resource planning involves
getting the right number of qualified
people into the right jobs at the righttime.
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II. Why is it important?
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II. Why is it important?
B. Prepare people for future thru training
C. Expand or contract
D. Control manpower costs thru HR budge
E. Succession Planning
A. Avoid long lag times to fill positions:
reservoir of talent
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III. How do you do it?
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III. How do you do it?
1. It is a process of comparing human
resource supply with human
resource demand.
A. General Comments:
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2. It works best when it is tied to:
a. the organization¶s strategic planning
process
III. How do you do it?
1. It is a process of comparing human
resource supply with human
resource demand.
A. General Comments:
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2. It works best when it is tied to:
a. the organization¶s strategic planning
process
b. all available forecasts (technological,
economic, market, etc.)
III. How do you do it?
1. It is a process of comparing human
resource supply with human
resource demand.
A. General Comments:
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3. When there are variances, action
plans must be formulated, e.g.,
a. for surpluses, will organization use
layoffs, retirement incentives, reduced
hours, or something else?
III. How do you do it?
A. General Comments:
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3. When there are variances, action
plans must be formulated, e.g.,
a. for surpluses, will organization use
layoffs, retirement incentives, reduced
hours, or something else?
b. for shortages, will organization useovertime, temporary workers, or recruit
new permanent workers?
III. How do you do it?
A. General Comments:
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1. Approaches to forecasting:
a. Qualitative:
III. How do you do it?
B. Methods Used for Human ResourcePlanning:
i. Expert opinions
ii. Delphi technique
iii. ³Bottom-up´ approach
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1. Approaches to forecasting:
a. Qualitative:
III. How do you do it?
B. Methods Used for Human ResourcePlanning:
i. Expert opinions
ii. Delphi technique
iii. ³Bottom-up´ approachb. Quantitative (mathematical modeling):
i. Regression analysis / Trend analysis
ii. Markov analysis
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2. Supply Analysis
a. Skills inventories
III. How do you do it?
B. Methods Used for Human ResourcePlanning:
i. Card systems
ii. Human Resource Information
Systems (HRIS)
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2. Supply Analysis
a. Skills inventories
III. How do you do it?
B. Methods Used for Human ResourcePlanning:
i. Card systems
ii. Human Resource Information
Systems (HRIS)b. Replacement charts / Succession plans
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IV. Does anybody really do this stuff?
HRP techniques actually used:
Implementation of Human Resource Planning
�
Replacement charts� Skills inventories
� Computer simulation
�
Time series analysis� Markov analysis
� Delphi technique
84%51%
10%
5%4%
3.5%
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The Delphi method is a systematic, interactive forecasting
method which relies on a panel of experts. The experts answer
questionnaires in two or more rounds. After each round, a
facilitator provides an anonymous summary of the experts¶
forecasts from the previous round as well as the reasons they
provided for their judgments. Thus, experts are encouraged to
revise their earlier answers in light of the replies of other members
of their panel. It is believed that during this process the range of the answers will decrease and the group will converge towards the
"correct" answer. Finally, the process is stopped after a pre-
defined stop criterion (e.g. number of rounds, achievement of
consensus, stability of results) and the mean or median scores of
the final rounds determine the results.[1]
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R egression analysis includes any techniques for modeling and
analyzing several variables, when the focus is on the relationship
between a dependent variable and one or more independent variables.
More specifically, regression analysis helps us understand how the
typical value of the dependent variable changes when any one of the
independent variables is varied, while the other independent variables
are held fixed. Most commonly, regression analysis estimates theconditional expectation of the dependent variable given the
independent variables ² that is, the average value of the dependent
variable when the independent variables are held fixed. Less
commonly, the focus is on a quantile, or other location parameter of
the conditional distribution of the dependent variable given theindependent variables. In all cases, the estimation target is a function
of the independent variables called the regression function. In
regression analysis, it is also of interest to characterize the variation of
the dependent variable around the regression function, which can bedescribed by a probability distribution.