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An overview of scientific research in the business context, discussing its hallmarks, benefits, and methods. Topics include replicability, precision, bias, testability, objectivity, generalizability, parsimony, deduction, and induction. The document also introduces the hypothetico-deductive method and other research approaches like case studies and action research.
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SCIENTIFIC
INVESTIGATION
Purposiveness
Rigor
Testability
Replicability
Precision and Confidence
Objectivity
Generalizability
Parsimony
Purposiveness ^
It has to start with a definite aim or purpose.
The focus is on increasing employeecommitment.
Increase employee commitment will translateinto less turnover, less absenteeism andincreased performance levels.
Thus it has a purposive focus.
Based on few employees
Bias and incorrectness
There might be other influences on commitmentwhich are ignored and are important for a researcherto know
Thus, Rigorous involves good theoretical base and
thought out methodology.
These factors enable the researcher to collect the rightkind of information from an appropriate sample withthe minimum degree of bias and facilitate suitableanalysis of the data gathered.
This supports the other six too.
3. Testability
The researcher might hypothesizethat those employees who perceivegreater
opportunities
for
participation
in
decision
making
would
have
a^
higher
level
of
After random selection manager and researcherdevelops commitment.
certain
hypothesis
on
how
manager
employee commitment can be enhanced, thenthese can be tested by applying certain statisticaltests to the data collected for the purpose
.
Precision refers to the closeness of the findingsto “reality” based on a sample.
It reflects the degree of accuracy and exactitudeof the results of the sample. Example: If a supervisor estimated thenumber of production days lost during theyear due to absenteeism at between 30 and40, as against the actual of 35, the precision ofestimation would be more favorable than ifhe has indicated that the loss of productiondays was somewhere between 20 and 50.
Confidence
Confidence refers to the probability that ourestimations are correct.
That is, it is not merely enough to be precise,but it is also important that we canconfidently claim that 95% of the time ourresults would be true and there is only a 5%chance of our being wrong.
This is also known as confidence level.
7. Generalizability
It refers to the scope of applicability of theresearch findings in one organization setting toother settings. Example:
If
a
researcher’s
findings
that
participation
in
decision
making
enhances
organizational commitment are found to be true ina variety of manufacturing, industrial and serviceorganizations, and not merely in the particularorganization studied by the researcher, then thegeneralizability
of
the
findings
to
other
organizational
settings
in
enhanced.
The
more
generalizable
the
research,
the
greater
its
usefulness and value.
8. Parsimony
Simplicity in explaining the phenomenon or problems thatoccur, and in generating solutions for the problems, isalways preferred to complex research frameworks thatconsider an unmanageable number of factors. For instance, if 2-3 specific variables in the work situation are
identified, which when changed would raise theorganizational commitment of the employees by 45%, thatwould be more useful be more useful and valuable to themanager than if it were recommended that he shouldchange 10 different variables to increase organizationalcommitment by 48%.
Deduction is the process by which we arrive at areasoned conclusion by logical generalization of aknown fact.^ Example: we know that all high performers are highlyproficient in their jobs.If John is a high performer, we then conclude that heis highly proficient in his job
Induction is a process where we observe certainphenomena and on this basis arrive at conclusions.^ In other words, in induction we logicallyestablish a general proposition based onobserved facts.