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Management Problem: Whether Information Technology should be introduced as a Major’s specialization in PGDM (20082010) at ITM Navi Mumbai or Not??
Research Objective:
To understand the attitude, perception and interest of students towards IT industry? To understand the various academic and financial requirements which will need to be met by the college for introducing IT as a major’s specialization? To know the performance of IT industry and its future prospects? To know the current placement opportunities facilitated by the college and what additional efforts would need to be put by the college for placing the concerned students?
Research Questions:
What is the total no. of students from the IT background?
What is the Total no. of students interested in taking IT as a Major Course?
What is the minimum no. of students required to introduce any course as a major’s?
How the IT industry has been performing over previous years?
What are the future prospects of the IT industry?
Does the institute have the required infrastructure facilities for the proposal?
What measures would need to be taken for increasing the awareness among the corporate for final placements?
What subjects would need to be included in curriculum of IT majors to make it as competitive as finance or marketing?
Would the offering of IT as majors will require any changes in the Fee Structure?
Relevant Variables: 1. No. of students interested in taking IT as a major’s, 2. Education Background 3. Placement scenario 4. Course design 5. Scope of MBA-IT 6. IT Lab 7. Infrastructure 8. Course Promotion 9. Faculty Requirement 10. Visiting Faculty 11. Extra Course Fee 12. IT Scenario- Global & Indian 13. Extra Cost 14. ‘Dominance’ of other specialization over IT
Hypothesis: Rating for IT is less than rating for Finance and Marketing No. of people going for IT as majors is independent of their perception for scope of IT Number of people opting for IT is independent of number of people having IT background Placements is given more importance than course design & Background Average Extra fee students are ready to pay for IT as major is less than 10,000/-
Research Methodology •
Primary Research -
Questionnaire
Sample Size = 50 Targeted area = ITM , Navi Mumbai PGDM Students (2008-10)
DATA ANALYSIS HYPOTHESIS-1: (Z-Test) Rating for IT is less than rating for Finance and Marketing H0 : µ₀≥ µ₁ , µ₀ ≥ µ₂ H1 : µ₀< µ₁ , µ₀ < µ₂
Z calculated
Z Tabulated
for Fin. & IT
-5.881
-1.96
for Mktg. & IT
-8.799
-1.96
Rating for various specialisations
Finance
Marketing
IT
Finance
Marketing IT
(x1-x1 barr)2
(x2-x2barr)sqr (x0-x0barr)sqr
1
9
8
6
1.3924
0.0484
0.5184
2
8
9
7
0.0324
0.6084
0.0784
3
7
9
7
0.6724
0.6084
0.0784
4
8
9
7
0.0324
0.6084
0.0784
5
9
9
9
1.3924
0.6084
5.1984
6
7
9
8
0.6724
0.6084
1.6384
7
7
8
8
0.6724
0.0484
1.6384
8
8
7
6
0.0324
1.4884
0.5184
S.no.
Name
9
7
7
9
0.6724
1.4884
5.1984
10
9
9
7
1.3924
0.6084
0.0784
11
7
8
9
0.6724
0.0484
5.1984
12
6
9
6
3.3124
0.6084
0.5184
13
9
9
7
1.3924
0.6084
0.0784
14
7
6
6
0.6724
4.9284
0.5184
15
9
9
7
1.3924
0.6084
0.0784
16
8
6
6
0.0324
4.9284
0.5184
17
9
9
7
1.3924
0.6084
0.0784
18
8
9
7
0.0324
0.6084
0.0784
19
9
9
8
1.3924
0.6084
1.6384
20
9
8
6
1.3924
0.0484
0.5184
21
8
8
6
0.0324
0.0484
0.5184
22
8
9
7
0.0324
0.6084
0.0784
23
8
9
7
0.0324
0.6084
0.0784
24
7
7
6
0.6724
1.4884
0.5184
25
6
8
7
3.3124
0.0484
0.0784
26
7
7
7
0.6724
1.4884
0.0784
27
8
8
7
0.0324
0.0484
0.0784
28
9
7
7
1.3924
1.4884
0.0784
29
6
8
6
3.3124
0.0484
0.5184
30
7
9
6
0.6724
0.6084
0.5184
31
8
8
7
0.0324
0.0484
0.0784
32
9
8
6
1.3924
0.0484
0.5184
33
9
8
6
1.3924
0.0484
0.5184
34
5
9
7
7.9524
0.6084
0.0784
35
8
9
6
0.0324
0.6084
0.5184
36
7
9
6
0.6724
0.6084
0.5184
37
7
7
6
0.6724
1.4884
0.5184
38
8
8
7
0.0324
0.0484
0.0784
39
9
9
6
1.3924
0.6084
0.5184
40
7
9
7
0.6724
0.6084
0.0784
41
6
7
6
3.3124
1.4884
0.5184
42
7
9
7
0.6724
0.6084
0.0784
43
8
8
6
0.0324
0.0484
0.5184
44
9
7
7
1.3924
1.4884
0.0784
45
7
7
6
0.6724
1.4884
0.5184
46
8
9
7
0.0324
0.6084
0.0784
47
9
9
6
1.3924
0.6084
0.5184
48
9
8
6
1.3924
0.0484
0.5184
49
9
8
6
1.3924
0.0484
0.5184
50
8
9
6
0.0324
0.6084
0.5184
total sum
391
411
336
53.38
38.580
34.08
average
7.82
8.22
6.72
standard deviation finance
1.033
marketing
0.878
z value for Fin. & IT=
-5.881
IT
0.826
variance finance
1.068
marketing
0.772
IT
0.682
•
Single tailed test
•
α= .05 Z tab. = -1.96
z value for -8.799 Mktg & IT=
INTERPRETATION Z calculated values are deep in rejection region. Null hypothesis is rejected. It can be said with certainty that IT is having low rating as compared to Marketing & Finance.
HYPOTHESIS-2
(Chi square-Test)
Null Hypothesis: No. of people going for IT as majors is independent of their perception for scope of IT
Alternate Hypothesis: No. of people going for IT as major depends on their perception for scope of IT Scope of IT will be good
Agree
Student will chose IT
10
2
12
4
2
10
disagree 2
14
12
28
Total
20
14
50
agree-agree
3.84
agree-uncertain
4.8
agree-disagree
3.36
uncertain-agree
3.2
uncertain-uncertain 4 uncertain-disagree 2.8 8.96
disagree-uncertain 11.2 disagree-disagree
uncertain disagree Total
uncertain 4
To cal Exp. Value
disagree-agree
agree
7.84
16
e
o
o-e
(o-e)2
(o-e)2/e
agree-agree
3.84
10
6.16
37.9456
9.881667
agree-uncertain
4.8
2
-2.8
7.84
1.633333
agree-disagree
3.36
0
-3.36
11.2896
3.36
uncertain-agree
3.2
4
0.8
0.64
0.2
uncertain-uncertain
4
4
0
0
0
uncertain-disagree
2.8
2
-0.8
0.64
0.228571
disagree-agree
8.96
2
-6.96
48.4416
5.406429
disagree-uncertain
11.2
14
2.8
7.84
0.7
Chi-Tab
disagree-disagree
7.84
12
4.16
Σ(o-e)2/e
21.41
9.48
INTERPRETATION Chi calculated
21.41
Chi Tabulated
9.48
Chi cal. > Chi Tab. So, our Null Hypothesis is REJECTED This means that the No. of people going for IT as major depends on their perception for scope of IT as most of them are of view that scope of IT is average.
HYPOTHESIS-3
(Chi square-Test)
Null Hypothesis : Number of people opting for IT is independent of number of people having IT background Alternate Hypothesis : Number of people opting for IT depends on number of people having IT background Students will take IT agree
uncertain
disagree
total
1
6
Strong
5
Medium
4
3
1
8
Low
3
7
26
36
Total
12
10
28
50
IT Background
To cal Expected value strong-agree
1.44
strong-uncertain
1.2
strong-disagree
3.36
medium-agree
1.92
medium-uncertain
1.6
medium-disagree
4.48
low-agree
8.64
low-uncertain
7.2
low-disagree
20.16
E
o
o-e
(o-e)2
(o-e)2/e
strong-agree
1.44
5
3.56
12.6736
8.801111
strong-uncertain
1.2
0
-1.2
1.44
1.2
strong-disagree
3.36
1
-2.36
5.5696
1.657619
medium-agree
1.92
4
2.08
4.3264
2.253333
medium-uncertain
1.6
3
1.4
1.96
1.225
medium-disagree
4.48
1
-3.48
12.1104
2.703214
low-agree
8.64
3
-5.64
31.8096
3.681667
low-uncertain
7.2
7
-0.2
0.04
0.005556
low-disagree
20.16
26
5.84
34.1056
1.691746
Chi-Tab.
23.21925 9.48
INTERPRETATION Chi calculated
23.21925
Chi Tabulated
9.48
Chi Cal. > Chi Tab. So, our Null hypothesis is REJECTED This means that the number of people opting for IT depends upon the number of people from IT background
HYPOTHESIS-4
(Z-Test)
Placements is given more importance than course design & Background H0:
μp ≤ μc , μp ≤ μe
H1:
μp > μc , μp > μe
Rating for various parameters
Course Design
Placement
Edu. Backg.
S.no. Name
Course Design
Edu. Background Placement
(x1-x1 barr)2
x2-x2barr
x0-x0barr
1
9
6
8
2.756
1.638
5.954
2
7
7
8
0.116
1.638
2.074
3
7
7
9
0.116
5.198
2.074
4
8
7
9
0.436
5.198
2.074
5
6
9
8
1.796
1.638
0.314
6
7
8
9
0.116
5.198
0.194
7
7
8
9
0.116
5.198
0.194
8
8
6
8
0.436
1.638
5.954
9
7
9
9
0.116
5.198
0.314
10
6
7
9
1.796
5.198
2.074
11
7
9
8
0.116
1.638
0.314
12
6
6
8
1.796
1.638
5.954
13
9
7
9
2.756
5.198
2.074
14
8
6
9
0.436
5.198
5.954
15
9
7
9
2.756
5.198
2.074
16
8
6
7
0.436
0.078
5.954
17
7
7
9
0.116
5.198
2.074
18
8
7
8
0.436
1.638
2.074
19
7
8
9
0.116
5.198
0.194
20
8
6
8
0.436
1.638
5.954
21
8
6
9
0.436
5.198
5.954
22
8
7
9
0.436
5.198
2.074
23
6
7
9
1.796
5.198
2.074
24
7
6
7
0.116
0.078
5.954
25
7
7
8
0.116
1.638
2.074
26
8
7
8
0.436
1.638
2.074
27
9
7
8
2.756
1.638
28
9
7
7
2.756
0.078
2.074
29
4
6
8
11.156
1.638
5.954
30
6
6
9
1.796
5.198
5.954
31
8
7
8
0.436
1.638
2.074
32
9
6
8
2.756
1.638
5.954
33
7
6
9
0.116
5.198
5.954
34
7
7
9
0.116
5.198
2.074
35
6
6
9
1.796
5.198
5.954
36
5
6
9
5.476
5.198
5.954
37
7
6
8
0.116
1.638
5.954
38
8
7
9
0.436
5.198
2.074
39
9
6
9
2.756
5.198
5.954
40
7
7
9
0.116
5.198
2.074
41
5
6
7
5.476
0.078
5.954
42
8
7
9
0.436
5.198
2.074
43
8
6
8
0.436
1.638
5.954
44
9
7
7
2.756
0.078
2.074
45
7
6
9
0.116
5.198
5.954
46
6
7
9
1.796
5.198
2.074
47
5
6
9
5.476
5.198
5.954
48
8
6
8
0.436
1.638
5.954
49
8
6
8
0.436
1.638
5.954
50
9
6
9
2.756
5.198
5.954
7.34
6.72
8.44
73.220
170.240
179.926
Average
Standard deviation Course Design
1.210
Edu. Backgr.
1.845
Placement
1.897
z value for Course Design 3.457 & Placement=
Variance Course Design
1.464
Edu. Backgr.
3.405
Placement
3.599
•
Single tailed test
•
α= .05 Z tab. = -1.96
z value for Edu. Backgr. & 4.596 Placement=
INTERPRETATION Z calculated
Z Tabulated
for Course Design & Placement=
-3.457
-1.96
for Edu. Backgr. & Placement=
-4.596
-1.96
Z calculated lies in rejection region. So Null hypothesis is rejected We can say that students rate placement highly as compared to course design and background
HYPOTHESIS-5
(Z-Test)
Average Extra fee students are ready to pay for IT as major is less than 10,000/H0 : µ₁ < 10,000/H1 : µ₁ ≥ 10,000/-
Range
f
f*x
(x-X)
(x-X)2
f(x-X)2
0-10,000
36
180000
-3600
12960000
466560000
10,001-20,000 10
150000
6400
40960000
409600000
20,001-30,000 4
100000
16400
268960000
1075840000
Total sum
430000
50
1952000000
Average
8600
Std. Dv.
6248.2
Z cal. Value
-1.58438
Z tab. Value
-1.645
INTERPRETATION Z cal. Value
-1.58438
Z tab. Value
-1.645
Z-Tab. < Z-Cal. So, Null Hypothesis is Accepted
FINDINGS IT is having low rating as compared to Marketing & Finance. The No. of people going for IT as major depends on their perception for scope of IT as most of them are of view that scope of IT is average. Number of people opting for IT depends upon the number of people from IT background Students rate placement highly as compared to course design and background Students are not ready to pay more than 10,000 Rs. for taking IT as majors
Questionnaire Name : …………………………………………………………. Batch : …………………………………………………………..
Q.1) Do You have IT backgroud? a). Yes
b).No
Q.2) Which type of IT background do you have? a)strong
b)medium
c)low
Q.3) Will you take IT as Major’s if introduced? a). agree
b).uncertain
c).disagree
Q4) Do you think IT background will help if you choose IT as a Major specialization? a) Yes
b) no
Q.5. what do you think about the scope of MBA-IT in Indian perspective will be good? a). agree
b). Uncertain
c). Disagree
Q.6) Rate the following on the basis of scope for future growth and employment? (scale 1-10; 1=poor, 10=excellent) a). Marketing
………….
b). Finance
………….
c). Information Technology
………….
d). Operation
………….
Q.7) Rate the following factors which needs to be considered for choosing IT as a major specialization? (same scale as Q.6) a). Course Design
……………
b). Placement
……………
c). Educational Background
……………
d). Faculty
…………...
Q8) Do you think the extra charges for IT major’s are justified? a) yes
b). No
Q.9) How much extra fees you are willing to pay for taking IT as major? a). None
