2. Prepared By
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Manu Melwin Joy
Assistant Professor
Ilahia School of Management Studies
Kerala, India.
Phone – 9744551114
Mail – manu_melwinjoy@yahoo.com
3. Computer Aided Job Evaluation
• Job evaluation has come
a long way. Today,
computer aided job
evaluation is the state of
art.
4. Computer Aided Job Evaluation
• The advantages of computer
aided job evaluation (CAJE)
include simplification of job
analysis, ability to keep job
description up to date,
increased objectivity of the
evaluation, less time spend in
committee meeting etc.
5. Computer Aided Job Evaluation
• An additional advantage
of the use of a
computerized system is
the increased reliability
that can be obtained.
6. Computer Aided Job Evaluation
• Computer aided job
evaluation features
computerized checking of
questionnaire answers and
automated output of both job
evaluation and relevant
compensation reports.
7. Computer Aided Job Evaluation
• CAJE is not an expert
system. It makes no
decisions. It records,
processes and calculates
data relevant to job
evaluation.
8. Computer Aided Job Evaluation
• CAJE simplifies and
streamlines the routine work
in job evaluation. Even
though CAJE allow us to
capture and use information
about job in new ways, they
are only as good as their
designers.
9. Computer Aided Job Evaluation
• There are three main reasons
why expert system
technology should be used for
a Computerized job
evaluation system.
– Decision of this kind require
expert input and
compensation expertise is
scarce.
10. Computer Aided Job Evaluation
• There are three main reasons why
expert system technology should be
used for a Computerized job
evaluation system.
– A high degree of uncertainty is
present in job evaluation
because job tasks, compensation
policies, laws and regulations are
constantly changing.
11. Computer Aided Job Evaluation
• There are three main reasons why
expert system technology should be
used for a Computerized job
evaluation system.
– Conventional programming
techniques cannot adequately
handle job evaluation because of
programming difficulty and
development costs.