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8/3/2019 5 Industrial Project Final
1/23
DEPARTMENT OF MANAGEMENT
SCIENCES,UNIVERSITY OF PUNE
TO KNOW THE FACTORS AFFECTING
DECISION MAKING PROCESS
(UNDER GENERAL AND SPECIFIC SITUATION)
SUBMITTED BY:
RollNo.
NameRollNo.
Name
8357 Manish Soni 8364 Pravin Pathrabe
8358 Rakhi Thakur 8365 Indranil Phadke
8359 Nitin Banka 8366 Ravi Nagrani
8360 Nishant 8367 Yogesh Khomane
8361 Ramesh Saha 8368 Srijal
8362 Kunal Patil 8369 Sharif Sharfa
8363 Smitrup Patnaik
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TO KNOW THE FACTORS AFFECTING
DECISION MAKING PROCESS
(UNDER GENERAL AND SPECIFIC SITUATION)
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Department of Management
Sciences (PUMBA)
University of Pune
CERTIFICATE
This is to certify that the Research Project
report titled To know the factors affecting
decision making process carried out at The
Department of Management Sciences(PUMBA), University of Pune, towards the
partial fulfilment of the requirement for the
assessment of Industrial Project and the
same has been satisfactorily carried out under
the guidance of Mr. Anirudha Joshi during
the academic year 2008 - 2009.
Mr. Anirudha Joshi
Dr. B. V. Sangvikar
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Faculty
Head of Department
PUMBA PUMBA
Acknowledgement
Research requires cooperation of many people. Our
research project has been successful due to help and
cooperation of many people. We take the opportunity
to thank them.
Firstly, we will like to thank our research guide Mr.
Anirudha Joshi without his help our project would not
have been successfully completed.
Secondly, we would like to thank our Library Dept. and
Computer Lab for their cooperation throughout theproject.
We would like to thank our friends and other team
members who have really taken hard work during the
entire project.
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Last but not least we would like to thank Almighty God
with him everything is possible.
CONTENTS
Sr.N
o.
TOPIC
No.
1 SYNOPSIS
2 LITERATURE REVIEW
3 DATA COLLECTION AND PRESENTATION
4 ANALYSIS OF DATA AND THE TEST USED
4.1 CALCULATING MEAN & STANDARD DEVIATION OF SAMPLE
4.2 TESTING THE EQUALITY BETWEEN TWO SAMPLES USING T-TEST
4.3 TESTING THE EQUALITY BETWEEN VARIANCES OF THE TWO
SAMPLES USING ANOVA TEST.
4.4 TESTING THE CORRELATION BETWEEN SAMPLES USING MAYBE
SYSTEM.
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5 CONCLUSION
6 SUGGESTIONS AND RECOMMENDATIONS
7 BIBLIOGRAPHY
CHAPTER 1
INTRODUCTION:
We all make decisions of varying importance every day, so the idea that decision making can
be a rather sophisticated art may at first seem strange. However, studies have shown that
most people are much poorer at decision making than they think. An understanding of what
factors affect decision making will help produce better decisions.
Research Objectives:
1) Primary Research Objective:
To find out about the factors affecting decision making process
under general and specific condition.
2) Secondary Research Objective:
To determine the correlation between the various variables, with
respect to willingness, attitude and awareness.
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Primary Research:
In our survey, we have used primary sampling method. Random samples
were picked upon among students and non-students. The required
information was gathered directly from 60 respondents through personal
interview technique.
This includes:
Direct Personal Investigation using Questionnaire method
Sampling:
Random sampling techniques (Stratified random sampling)
Sampling Unit:
Different corporate people in the Pune & Mumbai city.
Statistical analysis:
Mean & Standard deviation is used to analyse the responses in thesamples. T test has been used to know the equality of above
characteristics between the samples. Multiple correlations to test relation
between above characteristic within a sample
Conclusion:
From the sample analysis, we found that 77% of the people take overall
decisions on may be system, i.e., they are not sure about the results. They
dont undergo the rigorous analysis of information which may be useful to
take decisions. It is found that
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CHAPTER 2.
LITERATURE REVIEW
Every decision is made within a decision environment, which is defined as the collection
of information, alternatives, values, and preferences available at the time of the decision. An
ideal decision environment would include all possible information, all of it accurate, and
every possible alternative. However, both information and alternatives are constrained
because the time and effort to gain information or identify alternatives are limited. The time
constraint simply means that a decision must be made by a certain time. The effort constraint
reflects the limits of manpower, money, and priorities. (You wouldn't want to spend three
hours and half a tank of gas trying to find the very best parking place at the mall.) Since
decisions must be made within this constrained environment, we can say that the major
challenge of decision making is uncertainty, and a major goal of decision analysis is to reduce
uncertainty. We can almost never have all information needed to make a decision with
certainty, so most decisions involve an undeniable amount of risk.
The fact that decisions must be made within a limiting decision environment suggests two
things. First, it explains why hindsight is so much more accurate and better at making
decisions that foresight. As time passes, the decision environment continues to grow and
expand. New information and new alternatives appear--even after the decision must be made.
Armed with new information after the fact, the hindsighters can many times look back and
make a much better decision than the original maker, because the decision environment has
continued to expand.
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The second thing suggested by the decision-within-an-environment idea follows from the
above point. Since the decision environment continues to expand as time passes, it is often
advisable to put off making a decision until close to the deadline. Information and
alternatives continue to grow as time passes, so to have access to the most information and to
the best alternatives, do not make the decision too soon. Now, since we are dealing with real
life, it is obvious that some alternatives might no longer be available if too much time passes;that is a tension we have to work with, a tension that helps to shape the cutoff date for the
decision.
Delaying a decision as long as reasonably possible, then, provides three benefits:
1) The decision environment will be larger, providing more information. There is alsotime for more thoughtful and extended analysis.
2) New alternatives might be recognized or created. Version 2.0 might be released.
3) The decision maker's preferences might change. With further thought, wisdom, and
maturity, you may decide not to buy car X and instead to buy car Y.
Decision making can be regarded as an outcome of mental processes (cognitive process)
leading to the selection of a course of action among several alternatives. Every decision
making process produces a final choice. The output can be an action or an opinion of choice.
Human performance in decision making terms has been the subject of active research from
several perspectives. From a psychological perspective, it is necessary to examine individual
decisions in the context of a set of needs, preferences an individual has and values they seek.
From a cognitive perspective, the decision making process must be regarded as a continuous
process integrated in the interaction with the environment. From a normative perspective, theanalysis of individual decisions is concerned with the logic of decision making and rationality
and the invariant choice it leads to.
Yet, at another level, it might be regarded as a problem solving activity which is
terminated when a satisfactory solution is found. Therefore, decision making is a reasoning or
emotional process which can be rational or irrational, can be based on explicit assumptions or
tacit assumptions.
Logical decision making is an important part of all science-based professions, where
specialists apply their knowledge in a given area to making informed decisions. For example,
medical decision making often involves making a diagnosis and selecting an appropriatetreatment. Some research using naturalistic methods shows, however, that in situations with
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higher time pressure, higher stakes, or increased ambiguities, experts use intuitive decision
making rather than structured approaches, following a recognition primed decision approach
to fit a set of indicators into the expert's experience and immediately arrive at a satisfactory
course of action without weighing alternatives. Recent robust decision efforts have formally
integrated uncertainty into the decision making process. However, Decision Analysis,
recognized and included uncertainties with a structured and rationally justifiable method ofdecision making since its conception.
CHAPTER 3
DATA COLLECTION & PRESENTATION
Data was directly collected from the 100 correspondents using
direct personal interviewing or through mail. Our data was divided into 7
groups age wise viz. Gr1(21-25), Gr2(26-30) upto Gr7(51-55). Here the
data about decision habits of the people was gathered. Also their general
information was collected.
Questionnaire Details:
The Questionnaire consists of total 56 questions testing the various
characteristics of the elements on which decision is being taken. In the
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Questionnaire, the questions are designed so that the traits like whether
individual like to take decision on his own or he seeks support, whether he
is risk taker or prefers safe mode. Scaling is done on the basis of various
responses received from the respondents. The responses are measured
giving more weightage for more positive response.
A copy of Questionnaire is attached in the Annexure.
Data Collection and Presentation:
Tables consisting of the various data of corporate people with calculated mean,
Standard deviation are given below.
Q.N. 20-25(1) 26-30(2) 31-35(3) 36-40(4) 41-45(5) 46-50(6) 51-55(7)
MEAN
STDEV
MEAN
STDEV
MEAN
STDEV
MEAN
STDEV
MEAN
STDEV
MEAN
STDEV
MEAN
STDEV
1
4.1
3
0.8
3
3.7
3
1.1
7
4.2
1
0.7
0
2.9
1
1.7
6 3.5
1.2
7 3.8
1.5
5 4
1.0
5
23.1
31.0
63.2
01.2
12.4
31.1
63.3
61.2
1 3.11.3
73.0
01.0
5 3.21.1
4
33.8
70.7
43.3
70.8
53.6
40.8
42.9
10.7
0 3.80.9
23.7
00.9
5 3.50.8
5
43.4
70.9
93.2
30.9
44.4
30.6
53.0
91.3
0 3.31.4
23.1
01.1
0 3.51.0
8
52.9
31.1
62.4
31.1
02.7
11.1
42.0
90.5
4 2.71.1
62.3
01.4
2 2.90.7
4
63.2
01.1
53.4
71.2
24.0
00.9
63.0
01.1
8 3.51.2
73.1
01.2
9 3.30.9
5
73.6
71.1
13.2
31.1
43.5
01.0
22.6
40.9
2 3.70.8
23.4
00.9
7 3.90.7
4
83.3
30.9
02.7
30.9
82.6
41.5
02.1
80.6
0 3.11.1
03.1
01.1
0 3.21.0
3
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262.8
00.9
43.7
70.9
73.7
10.9
93.3
61.3
6 3.81.0
33.2
01.2
3 3.80.9
2
273.4
00.9
92.9
01.2
72.8
61.7
53.4
51.6
3 3.41.2
63.4
01.0
7 31.3
3
282.4
00.9
12.6
01.2
52.2
91.1
42.3
60.9
2 2.81.3
22.4
01.1
7 2.50.8
5
293.6
00.9
93.6
31.0
03.7
11.0
73.8
20.9
8 3.21.1
43.5
01.4
3 3.70.8
2
303.4
71.0
63.2
71.0
83.4
31.2
23.4
51.4
4 31.1
53.3
01.3
4 3.20.9
2
312.8
71.0
63.1
31.0
72.7
91.6
33.4
50.8
2 3.41.4
33.7
01.1
6 3.10.9
9
323.6
00.9
13.3
01.2
13.9
30.8
33.2
70.7
9 40.8
23.7
00.4
8 4.10.5
7
333.4
70.7
43.5
70.8
23.7
90.8
93.4
50.8
2 4.21.1
43.7
01.3
4 3.60.8
4
343.1
31.1
33.4
71.1
73.1
41.5
13.6
41.3
6 3.91.1
03.4
01.2
6 3.41.0
7
35 3.20 1.01 3.53 1.01 3.57 1.09 3.64 1.36 3.9 1.20 3.60 0.97 3.3 0.48
362.7
31.2
82.7
71.2
52.5
71.4
53.6
41.5
0 3.21.3
22.7
01.5
7 3.50.8
5
374.1
30.8
33.7
31.0
84.2
90.8
33.0
01.3
4 41.2
53.2
01.4
0 3.51.2
7
383.5
31.0
63.0
71.0
53.1
41.2
33.7
31.1
0 3.21.4
03.6
01.0
7 3.31.0
6
392.6
70.9
03.0
71.3
12.6
41.2
83.7
30.9
0 31.4
12.7
01.2
5 3.31.0
6
402.9
30.9
62.9
01.1
22.7
11.3
83.0
01.5
5 31.0
52.5
01.0
8 3.31.1
6
41
3.4
0
1.4
0
3.4
7
1.2
0
4.0
0
0.9
6
3.9
1
0.9
4 3.9
0.8
8
2.8
0
1.0
3 3.1
1.5
2
423.5
31.3
03.2
71.3
14.0
00.7
83.5
51.4
4 3.90.7
43.7
01.0
6 3.71.1
6
433.4
70.8
33.1
71.1
23.0
01.0
42.6
40.9
2 4.21.0
33.3
01.0
6 3.60.8
4
443.0
01.5
63.6
31.0
73.5
71.0
93.6
41.3
6 3.81.2
33.9
01.1
0 3.61.5
1
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Tables showing the T-test results of the age groups are as follows :-
T12 T23 T34 T45 T56 T67
1.32 1.69 2.31 0.89 0.47 0.34
0.20 2.02 1.94 0.46 0.18 0.412.03 0.99 2.37 2.48 0.24 0.500.78 4.91 3.13 0.35 0.35 0.821.39 0.77 1.79 1.52 0.69 1.180.73 1.56 2.28 0.93 0.70 0.391.24 0.79 2.21 2.79 0.75 1.302.05 0.21 1.05 2.35 0.00 0.210.23 1.22 1.74 0.44 1.96 1.450.47 3.06 1.72 0.19 0.91 0.980.12 0.66 1.64 0.92 0.52 0.51
0.08 2.05 2.28 0.32 0.95 1.421.37 0.70 0.24 1.84 1.48 0.210.00 0.64 0.34 1.10 0.97 0.000.85 0.45 0.09 0.04 0.33 1.320.11 1.21 1.12 0.30 0.18 0.000.42 0.74 0.48 0.31 0.39 0.610.24 0.41 0.20 0.49 0.36 1.031.51 2.08 1.73 0.17 0.43 0.892.05 1.35 1.43 1.30 0.88 0.460.58 0.43 0.30 0.87 1.50 0.90
0.42 0.37 0.92 0.05 1.50 0.930.25 1.47 2.95 2.34 0.80 0.000.43 1.47 1.50 0.39 0.16 0.820.09 1.08 2.57 0.55 1.20 1.050.76 0.32 0.26 1.13 0.39 1.440.07 1.85 1.49 0.22 0.28 0.310.99 0.75 0.15 0.50 0.44 0.180.55 1.46 0.51 1.00 0.98 0.000.07 2.80 1.67 0.82 0.00 0.641.02 2.16 1.39 0.16 1.01 0.75
0.00 0.79 1.31 0.30 0.58 2.100.73 1.94 1.77 0.27 0.33 0.16
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1.91 1.12 1.25 0.46 0.74 0.941.13 0.48 0.81 0.68 0.18 0.190.42 0.72 0.17 0.02 0.18 1.110.17 0.46 0.66 0.27 0.30 0.893.23 0.19 0.72 0.84 1.18 1.241.45 0.08 0.87 0.08 0.00 0.740.61 0.81 0.17 0.88 0.72 0.220.10 0.24 0.27 1.33 0.52 0.380.59 0.42 0.04 0.79 0.54 0.190.77 0.71 1.32 0.10 0.52 1.240.93 2.01 2.03 2.07 1.00 1.700.41 0.78 0.99 1.72 0.90 0.200.94 0.72 0.87 0.48 0.95 0.001.03 0.12 0.14 0.47 0.61 0.880.10 0.44 1.80 0.71 0.77 1.421.37 1.89 2.80 1.77 1.35 0.501.38 0.18 1.26 0.96 0.72 0.631.20 1.03 2.50 1.40 0.50 1.160.09 0.45 0.49 0.00 1.05 1.600.17 1.57 0.24 0.03 2.57 0.520.63 2.30 0.93 0.71 0.49 0.001.01 0.49 0.92 3.65 1.93 0.701.41 0.17 0.14 0.28 0.19 0.51
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CHAPTER 4
ANALYSIS OF DATA AND THE TEST USED
4.1 - SIMPLE STASTICAL TOOLS
In this chapter we have discussed about the various statistical tools which we have
prominently used in our research work.
These are some of the statistical tools which we have used given below:
Mean: It is the simple average of the given data.
Median: It is the middle value of the given data arranged either in ascending or descending
order.
Mode: It is the highest frequent item in the data.
Standard Deviation: Standard Deviation is defined as the square root of the average ofsquares of deviation, when such deviations for the values of individual items in a series are
obtained from the mean.
Summation: It gives the collective view of the given data or series.
The above tools are used in the following manner in our research work as given below:
Mean: Mean is showing the average response given by the respondents of a particular
question, e.g. in group-1 the mean of responses for question-1 is 3.31.It means on a scale of
1to 4 the average scale of responses of all the individuals in the sample is 3.31.
Median: Median is showing the middle number in the scale of responses given by the sample
if these scale are arranged in either ascending or descending order, e.g. in group-1 the median
scale of responses is 3 it shows there are equal number of scales given below or above 3.
Mode: Mode is showing the highest number of responses given by the respondents, e.g. in
group-1 the highest number of responses given by the respondents is 3 which is the mode of
the responses of the question-1.
Standard Deviation: Standard deviation is showing the fluctuation of the responses of the
different respondents in the sample about the sample mean, e.g. In group-1 the standard
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deviation is .60 and the mean is 3.31.It mean the responses of the respondents in the sample
vary in the interval of Mean +/- S.D. i.e. 3.31 +/- .60.
4.1 Calculating Standard deviation of the sample:
Standard deviation of the sample is calculated using standard
formula
Standard Deviation:
= ((fd'2/N)-(fd'/N)2)C
Based on the collected data standard deviation for each reading is
calculated.
4.2 Testing the equality between two samples using T-
test
As the sample size is small we will use t-test.
|X1-X2|
t = |
where X1 and X2 are the means of the samplesS1 and S2 are the standard deviation of the samplesN1 and N2 are the total number of samples collected.
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Annexure
Name:- _______________________________________________
Age:- ________
Email:-________________________________________________
Occupation:-_________________________________Designation:-_________________________________
Company/Institute:-____________________________
Objective: - This survey is conducted to know the factors affecting the decision making processunder general/specific situations.
Please show how often each of the following applies to you by circling the number that you
think applies. 1=very infrequently or never, 2=infrequently, 3=neutral, 4=frequently,
5=very frequently or always.
1) Do you enjoy making decisions? 1 2 3 4 5
2) Do you rely on gut feelings when making decisions? 1 2 3 4 5
3) Do you like to consult with others? 1 2 3 4 5
4) Do you stick by your decisions come what may? 1 2 3 4 5
5) When you find one option that will just about do, do you leave
it at that?
1 2 3 4 5
6) Do you remain calm when you have to make decisions very
quickly?
1 2 3 4 5
7) Do you feel in control of things? 1 2 3 4 5
8) How often are your decision governed by your ideals regardless
of practical difficulties?
1 2 3 4 5
9) Do you make decisions without considering all of theimplications?
1 2 3 4 5
10) Do you change your mind about things? 1 2 3 4 5
11) Do you take the safe option if there is one? 1 2 3 4 5
12) Do you prefer to avoid making decisions if you can? 1 2 3 4 5
13) Do you plan well ahead? 1 2 3 4 5
14) When making decisions do you find yourself favouring first one
option then another?
1 2 3 4 5
15) Do you carry on looking for something better even if you have
found a course of action that is just about OK?
1 2 3 4 5
16) Do you find it difficult to think clearly when you have to decide
something in a hurry?
1 2 3 4 5
17) Do you make up your own mind about things regardless of what
others think?
1 2 3 4 5
18) Do you avoid taking advice over decisions? 1 2 3 4 5
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19) Do you work out all the pros and cons before making a
decision?
1 2 3 4 5
20) In your decision making how often are practicalities more
important than principles?
21) Is your decision making a deliberate logical process?
1
1
2
2
3
3
4
4
5
5
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22) Please could you tell us if any of the following have ever
applied to you
a) Recreational risks (e.g. rock climbing, scuba climbing)
b) Health risks (e.g. smoking, heavy drinking)
c) Career risks (e.g. quitting a job without smother to go to)
d) Financial risks (e.g. gambling, risky investments)
e) Safety risks (e.g. fast driving, driving without helmet)f) Social risks (e.g. standing for election, publicly changing a
rule or decision)
23) Thinking of past few weeks, how much time has your work
made you feel each of the following
a) Tense
b) Optimistic
c) Depressed
d) Calm
e) Relaxed
f) Worried
g) Enthusiastic
h) Uneasy
24) High risk activities excite me.
25) I like to make decisions quickly and instinctively.
26) Before buying a quite expensive item I do exhaustive research.
27) I would like to put myself in situations where anything can
happen.
28) Nothing makes me angry
29) I would like to gather lot of data on any new opportunities that
arise.
30) I love taking chances
31) I like tasks where end result is unpredictable
32) Success is all that matters to me.
33) I like to take my time over most decisions
34) Traffic irritate me35) I am concerned about the security at manufacturing unit
36) Stock market affect my business
37) Future financial planning is needed
38) Brand give me satisfaction
39) Rupee value affect my buying decision
40) Inflation affect my buying decision
41) Education has impact on my buying decision
42) Experience affect my buying decision
43) My family plays important role while buying
44) There is a logic when I purchase
Suggestions:-
__________________________________________
__________________________________________
__________________________________________
__________________________________________
__________________________________________
_____
1
1
1
1
11
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
11
1
1
1
1
1
1
1
1
1
2
2
2
2
22
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
22
2
2
2
2
2
2
2
2
2
3
3
3
3
33
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
33
3
3
3
3
3
3
3
3
3
4
4
4
4
44
4
4
4
4
4
4
4
4
4
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4
4
4
4
4
4
4
4
44
4
4
4
4
4
4
4
4
4
5
5
5
5
55
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
55
5
5
5
5
5
5
5
5
5
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