1. FACTORS ENABLING SYSTEMIC INNOVATION CULTURE IN INDIAN IT INDUSTRY
By: Murali Krishna Swaminathan (EN. NO. GG 1111) (Research Scholar – PhD Program at AMU)

2. International Conference On Innovation & IPR-ICII2015
SYSTEMIC INNOVATION
Set of interconnected innovations, where each is dependent on the other, with innovation both in the parts of the system and in the ways that they interact.
India – An emerging economy Innovation in emerging economies, types of innovation, Need for India to Innovate
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FLOW OF STUDY
STATEMENT OF THE PROBLEM
NEED FOR THE STUDY
RESEARCH METHODOLOGY
SAMPLING TECHNIQUES
MEASUREMENT TECHNIQUES
STATISTICAL TOOLS USED
SCOPE OF THE STUDY
DATA ANALYSIS
SUMMARY OF FINDINGS AND CONCLUSION
Need for an innovative culture and innovation practice within organizations and employee , pilot study, Primary data- Structured questionnaire, validated by 8 experts, reliability by- Split half alpha method- developed by Brown and Prophacy, 0.84 coefficient value for reliability, 15 sample size from all strata, predominantly from south, 5 point likert scale- no to fully coded 1 to 5, Tools- simple tabulation, central tendency distribution, chi- square test for hypo testing, TV < CV = accept alternative hyp, other wise reject, scope is wide in all the sectors .statistical pkg used- Mini tab 17.0 both for descriptive and inferential statistics
International Conference On Innovation & IPR-ICII2015

4. OBJECTIVES OF THE STUDY
To study the need for systemic innovation in IT industry.
To trace the interaction between employees, organization and their eco system and its impact on systemic innovation.
To find key indicators of innovation levels in Indian IT industry.
To investigate whether Existing Processes, Policies, Strategies and framework support Innovation
To understand the State of Employee Participation and Preparedness for fostering Innovation.
To study the Eco-System Support conduciveness for Innovation.
To develop a model, based on the findings of the research study and analysis with recommendations for enabling systemic innovation culture within Information Technology industry in India
Indicators of Systemic innovations- productivity, economy at micro and macro levels, organizational vision, mission support innovations
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5. DATA ANALYSIS &INTERPRETATIONS- DEMOGRAPHIC VARIABLES
Characteristics
Category
Respondents
Number
Percent
Type of Company
MNC 6
40.0
IT service 5
33.3
Public Sector 4
26.7
Company size
Medium
0.0
Large 15
100.0
Location
North
South 9
60.0
Total
MNC are more compared to IT Service and Public sector companies
Innovation process adopted in the sample comprising of all companies ( predominantly large sized companies).
Sample mix has companies more from South compared to North region
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6. Response on Innovation Process of Company
Respondents
Number
Percent No
0.0
Partially 6
40.0
Fully 9
60.0
Total 15
100.0
Employees opine more on fully innovation process
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7. Classification of Innovative Level
Category
Response
Number
Percent
Low
≤ 50 % Score 4
26.7
Medium
51-75 % Score 11
73.3
High
> 75 % Score
0.0
Total 15
100.0
Opinion rated from no to fully, 1-5 coded, adding the opinions, totaling, as per statistical norm if less than 50%- it is declared low, between medium, more than 75% is high, best can be explained with statistical curve,
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8. HYPOTHESIS AND TESTING FROM THE STUDY
1. (H0) Eco system is not primary reason of Innovation.
TESTING: MEAN %- Emp-53.8, Organization – 50.7, Eco- sy –accepted
Employee have more impact than Eco System.
2. (H0) Innovation is independent of Type of the company
 TESTING: Significant, Null hypothesis rejected
3. (H0) Innovation is independent of Location of the company
 TESTING: Non- Significant, Null hypothesis accepted.
 4. (H0) Innovation is independent of Innovative process of the company
TESTING: Significant, Null hypothesis accepted
Also: (H0) Innovation is independent of Financial Incentives. (H0) Innovation is dependent on Human Workforce gender.
 significant, Null hypothesis rejected – irrespective of financial incentive , employees are innovation inclined
 Non significant, Null hypothesis accepted – male seems to be more innovative
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9. Aspect wise Mean Innovative Response
(H1) The Eco-System support is the primary reason for the success of Innovation.
(H0) Eco System is not the primary reason for Innovation.
No.
Aspects
Statements
.Score
Obtained
Response
Min.
Score
Max.Score
Mean SD
(%) I
Employees 17 85 39 48
44.73
3.9
53.8
4.5 II
Organization 43
215 87
126
109.00
11.5
50.7
5.3
III
Eco system 2 10 5
4.87
1.3
48.7
2.6
Combined 62
310
133
179
159.60
13.7
51.5
4.4
Employees exhibit greater innovative culture as compared to Eco- system
And Employees make organizations! Employees Mean Innovative Response is more when compared to Organization or Eco System Mean Innovative Response. Based on mean and std deviation, employee seem to have more impact on innovation than that of eco-system.
Can therefore suggest from sample study that Null Hypothesis is accepted wherein Innovation is independent of Eco System Support; and thereby rejecting the alternate hypothesis that eco system is the primary reason for the success of innovation. Needs to be collaborated with Chi Square Analysis during main study.
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HYPO 2: ASSOCIATION BETWEEN TYPE OF COMPANY AND INNOVATION LEVEL IN IT INDUSTRY
Alternate Hypothesis: (H1) Innovation level is dependent on Type of the company.
Null Hypothesis: (H0) Innovation is independent of Type of the company
Type of Company
Innovation Level
χ 2
Value
Low
Medium
Total N %
MNC 1
16.7 5
83.3 6
100.0
6.90*
IT service
0.0
Public Sector 3
75.0
25.0 4
26.7 11
73.3 15
Significant association exist between type and innovation level, Better conducive vision and mission and organization structure, better is the innovation. Chi square analysis reveals that the association between type of company and innovation level is significant at 5% level. Hence the null hypothesis “ Innovation Level is independent of type of company” is rejected and alternate hypothesis “ Innovation level is dependent on type of company” is accepted.
International Conference On Innovation & IPR-ICII2015
X2(0.05, 2df) = 5.991

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HYPO 3:ASSOCIATION BETWEEN LOCATION OF COMPANY AND INNOVATION LEVEL IN IT INDUSTRY
(H1) Innovation level is dependent on Location of the company.
(H0) Innovation is independent of Location of the company
Location of the company
Innovation Level
χ 2
Value
Low
Medium
Total N %
North 1
16.7 5
83.3 6
100.0
0.51 NS
South 3
33.3
66.7 9 4
26.7 11
73.3 15
Location of companies has no impact on innovation process. Chi Square analysis reveals that association between location of company and innovation level is non-significant at 5% level and hence null hypothesis – Innovation is independent of location of the company is accepted and alternate hypothesis – Innovation level is dependent on the location of the company is rejected.
International Conference On Innovation & IPR-ICII2015
X 2 ( 0.05, 1df) = 3.841

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HYPO 4:Association between Innovation Process and Innovation Level in IT INDUSTRY
Null Hypothesis: (H0) Innovation is independent of Innovative process of the company
Alternate Hypothesis: (H1) Innovation level is dependent on Innovative process of the company.
Innovation Process
Innovation Level
χ 2
Value
Low
Medium
Total N %
Partially 4
66.7 2
33.3 6
100.0
8.18*
Fully
0.0 9
26.7 11
73.3 15
Is positive, fully innovation process leads to high innovation level, need for high process is traced.
Chi Square analysis reveals that the association between Innovation Process and the Innovation level is significant at 5% level.
Hence Null Hypothesis that Innovation Level is independent of Innovation Process of the company is rejected, and Alternate Hypothesis – Innovation Level is dependent on Innovation Process of the Company is accepted.
X2 (0.05, 1df) = 3.841
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FINDINGS
The respondents are predominantly taken from MNC and large companies like public sector and IT services companies. Systemic innovation process is more prevalent in these. The location distribution of respondent companies reveals slightly more from south as compared to north region.
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2: Innovation process determines innovation level of the companies. More than 50% of respondent companies have fully innovative process. 3:Medium level of Innovative process is more adopted. It is interesting to know that no company has high innovative process, revealing the immediate need for improvement. 4:On the basis of Mean and Standard deviation it can be concluded that employees seems to have more impact on innovation level than that of Eco- system. It needs to be collaborated by Chi-Square analysis.
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5: Chi Square analysis reveals that the association between type of companies and Innovation level is significant at 5% level. The Alternate hypothesis that Innovation level is dependent on Type of the company is accepted. 6: Chi Square analysis reveals that the association between Location of company and Innovation level is Non-significant at 5% level. Hence the Alternate Hypothesis that Innovation level is dependent on Location of the company is rejected and Null Hypothesis is Accepted.
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7: Chi Square analysis reveals that the association between Innovation process and Innovation level is significant at 5% level. Hence the Alternate hypothesis that Innovation level is dependent on Innovative process of the company is accepted.
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CONCLUSION
FINDINGS SUGGEST A MODEL FRAMEWORK TO INCORPORATE COLLABORATION BETWEEN THE EMPLOYEE, ORGANIZATIONAL AND ECO- SYSTEM RELATED CONTRIBUTING FACTORS SUCH A FRAMEWORK SHOULD SERVE TOWARDS AN IMPROVED INNOVATION LEVEL & CULTURE WITHIN THE INDIAN INFORMATION TECHNOLOGY INDUSTRY.
Summarily, from sample study, growing awareness of the complexities, interdependencies and interconnections of the challenges we face, together with the technologies and tools to better understand those systems, have brought the need for systemic innovation culture that is grounded across the dynamics played all together between Employee, Organization and Eco-System.
Need to expand into a fuller study and cater to foster innovation culture within Indian IT industry is a follow up candidate.
International Conference On Innovation & IPR-ICII2015