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Modelling Subsidiary Innovation Factors for Semiconductor Design Industry in India

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Global Value Chains, Flexibility and Sustainability

Part of the book series: Flexible Systems Management ((FLEXSYS))

Abstract

In the past two decades, globalization of innovation has accelerated. Subsidiaries of multinational enterprises are playing a very important role in the globalized innovation value chain . Foreign Direct Investment (FDI) flow to developing countries like India and China has increased substantially in the past 5 years. In light of this, the study of subsidiaries and their contribution to global innovation in these economies is very important and relevant. This chapter illustrates the use of a qualitative approach known as Total Interpretive Structural Modelling (TISM) to model the macro factors responsible for R&D Subsidiary Innovation (SI) in the Indian semiconductor design subsidiaries and structure them to better understand the interplay of these factors. Implications for practitioners and researchers are highlighted. Understanding the factors that impact R&D subsidiary innovation in India is helpful in understanding the role of subsidiaries from developing economies in the innovation value chain .

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Correspondence to Dixit Manjunatha Betaraya .

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Appendices

Appendix 1: Reachability Matrices

Reachability Matrix for ST Factors

 

S1

S2

S3

S4

S5

S6

S7

S1

1

0

1

0

1

1

0

S2

1

1

1

1

1

1

1

S3

0

0

1

0

0

1

0

S4

1

0

1

1

1

1

1

S5

1

1

1

0

1

1

0

S6

0

0

1

0

0

1

0

S7

0

0

0

1

1

0

1

Reachability Matrix for HS Factors

 

H1

H2

H3

H4

H5

H1

1

1

0

1

1

H2

1

1

1

1

1

H3

0

0

1

1

0

H4

0

0

1

1

0

H5

0

0

0

1

1

Reachability Matrix for LE Factors

 

L1

L2

L3

L1

1

1

1

L2

1

1

1

L3

1

1

1

Appendix 2: Partitioning the Reachability Matrix into Different Levels

ST Factors

Variable

Reachability set

Antecedent set

Intersection set

Level

RM level partitioning—iteration 1

S1

1,3,5,6

1,2,4,5,6

1,5,6

 

S2

1,2,3,4,5,6,7

2,3,5,6

2,3,5,6

 

S3

3,6

1,2,3,4,5,6

3,6

1

S4

1,3,4,5,6,7

2,3,4,7

3,4,7

 

S5

1,2,3,5,6

1,2,3,4,5,7

1,3,5

 

S6

3,6

1,2,3,4,5,6

3,6

1

S7

4,5,7

2,4,7

4,7

 

RM level partitioning—iteration 2

S1

1,5

1,2,4,5

1,5

2

S2

1,2,4,5,7

2,5

2,5

 

S4

1,4,5,7

2,4,7

4,7

 

S5

1,5

1,2,4,5,7

1,5

2

S7

4,5,7

2,4,7

4,7

 

RM level partitioning—iteration 3

S2

2,4,7

2

2

4

S4

4,7

2,4,7

4,7

3

S7

4,7

2,4,7

4,7

3

Summary of iteration steps

S3

3,6

1,2,3,4,5,6

3,6

1

S6

3,6

1,2,3,4,5,6

3,6

1

S1

1,5

1,2,4,5

1,5

2

S5

1,5

1,2,4,5,7

1,5

2

S4

4,7

2,4,7

4,7

3

S7

4,7

2,4,7

4,7

3

S2

2

2

2

4

For HS Factors

Variable

Reachability set

Antecedent set

Intersection set

Level

RM level partitioning—iteration 1

H1

1,2,4,5

1,2

1,2

 

H2

1,2,3,4,5

1,2,3,4

1,2,3,4

 

H3

3,4

2,3,4

3,4

1

H4

3,4

1,2,3,4,5

3,4

1

H5

4,5

1,2,5

5

 

RM level partitioning—iteration 2

H1

1,2,5

1,2

1,2

 

H2

1,2,5

1,2

1,2

 

H5

5

5

5

2

RM level partitioning—iteration 3

H1

1,2

1,2

1,2

3

H2

1,2

1,2

1,2

3

RM level partitioning—iteration 1–3

H3

3,4

2,3,4

3,4

1

H4

3,4

1,2,3,4,5

3,4

1

H5

5

5

5

2

H1

1,2

1,2

1,2

3

H2

1,2

1,2

1,2

3

For LE Factors

Variable

Reachability set

Antecedent set

Intersection set

Level

RM level partitioning—iteration 1

L1

1,2,3

1,2,3

1,2,3

1

L2

1,2,3

1,2,3

1,2,3

1

L3

1,3,3

1,2,3

1,2,3

1

Appendix 3: Initial Digraphs

For ST Factors

For HS Factors

For LE Factors

Appendix 4: Direct Interaction Matrices

For ST Factors

 

S1

S2

S3

S4

S5

S6

S7

S1

  

Allows freedom to experiment and own additional work areas

 

Ability to acquire diverse and more knowledge

Because of resource scale-up and allows better risk management

 

S2

By influencing HQ, prioritizing effort versus resource and not exposing all resource details to HQ

 

By motivating and setting aggressive targets

By goal setting and work culture

Due to encouragement to acquire external knowledge

Global recognition of leader’s accomplishments

Mandatory trait for leaders

S3

     

Motivated workforce

 

S4

Resource sharing and synergistic work

 

Motivated employees

 

Knowledge sourcing and sharing across the team

Ability to dip into expert resources

Need for frequent interaction

S5

Strategic resource building

 

Employees motivated to contribute at higher levels

  

Visibility into newer products and methods

 

S6

  

High employee/team confidence and morale

    

S7

   

Facilitate closer interaction

Helps identify and grow knowledge

  

For HS Factors

 

H1

H2

H3

H4

H5

H1

 

Higher stakes involved

 

Higher spending

Budget allocation for expatriation

H2

Builds subsidiary capability and credibility

 

Inverse relationship

Direction setting and assessment of subsidiary capabilities

Desire for tighter control

H3

   

Local decision-making

 

H4

  

Influences organizational culture

  

H5

   

Better influencing at HQ

 

For LE Factors

 

L1

L2

L3

L1

 

Local market intelligence enhances product customization

Access to local resources

L2

Encouraging and forcing customization

  

L3

Through social networks

  

Appendix 5: Model Assessment by Experts

TISM-ST Model Assessment

S. No.

Variables linked

Reason quoted by previous experts

E1

E2

E3

Link average score

Model average score

1

Slack resources impacts/affects self-determination

Allows freedom to experiment and own additional areas

3

4

4

3.67

3.90

Accept the model

2

Slack resources impacts/affects knowledge dynamic capability

Ability to acquire diverse and more knowledge

3

4

4

3.67

3

Slack resources impacts/affects subsidiary credibility

Because of resource scale-up and allows better risk management

4

4

2

3.33

4

Subsidiary leadership impacts/affects slack resources

By influencing HQ, prioritizing effort versus resources and not exposing all resource details to HQ

4

4

3

3.67

5

Subsidiary leadership impacts/affects self-determination

By motivating and setting aggressive targets

5

3

5

4.33

6

Subsidiary leadership impacts/affects teamwork

By goal setting and work culture

5

4

4

4.33

7

Subsidiary leadership impacts knowledge dynamic capability

Due to encouragement to acquire external knowledge

5

4

4

4.33

8

Subsidiary leadership impacts/affects subsidiary credibility

Global recognition of leader’s accomplishment

5

3

5

4.33

9

Subsidiary leadership impacts/affects communication

Mandatory trait for leaders

5

4

5

4.67

10

Self-determination impacts/affects subsidiary credibility

Motivated work force

4

4

3

3.67

11

Teamwork impacts/affects slack resources

Resource sharing and synergistic work

5

4

3

4.00

12

Teamwork impacts/affects self-determination

Motivated employees

4

4

4

4.00

13

Teamwork impacts/affects knowledge dynamic capability

Knowledge sourcing and sharing across the team

4

4

4

4.00

14

Teamwork impacts/affects subsidiary credibility

Ability to dip into expert resources

4

4

5

4.33

15

Teamwork impacts/affects communication

Need for frequent interaction

3

4

4

3.67

16

Knowledge dynamic capability impacts/affects slack resources

Strategic resource building

4

3

3

3.33

17

Knowledge dynamic capability impacts/affects self-determination

Employees motivated to contribute at higher levels

4

4

3

3.67

18

Knowledge dynamic capability impacts/affects subsidiary credibility

Visibility into newer products and methods

4

4

4

4.00

19

Subsidiary credibility impacts/affects self-determination

High employee/team confidence and morale

4

4

3

3.67

20

Communication impacts/affects teamwork

Facilitates closer interaction

4

4

5

4.33

21

Communication impacts/affects knowledge dynamic capability

Helps identify and grow knowledge

2

4

4

3.33

TISM-HS Model Assessment

S. No.

Variables linked

Reason quoted by previous experts

E1

E2

E3

Link average score

model average score

1

R&D investment impacts/affects HQ involvement

Higher stakes involved

4

3

4

3.67

3.67

Accept the model

2

R&D investment impacts/affects subsidiary mandate

Higher spending

3

3

3

3.00*

3

R&D investment impacts/affects expatriate resources

Budget allocation for expatriation

4

4

3

3.67

4

HQ involvement impacts/affects R&D investment

Builds subsidiary capability and credibility

3

4

5

4.00

5

HQ involvement impacts/affects subsidiary autonomy

Inversely related

4

3

2

3.00*

6

HQ involvement impacts/affects subsidiary mandate

Direction setting and assessment of subsidiary capabilities by HQ

4

3

4

3.67

7

HQ involvement impacts/affects expatriate resources

Desire for tighter control

4

4

4

4.00

8

Subsidiary autonomy impacts/affects subsidiary mandate

Local decision-making

5

4

4

4.33

9

Subsidiary mandate impacts/affects subsidiary autonomy

Organizational culture

4

4

4

4.00

10

Expatriate resources impacts/affects subsidiary mandate

Better influencing at HQ

4

4

2

3.33

TISM-LE Model Assessment

S. No.

Variables linked

Reason quoted by previous experts

E1

E2

E3

Link average score

Model average score

1

Local embeddedness impacts/affects local market

Local market intelligence enhances product customization

4

3

4

3.67

3.58

Accept the model

2

Local embeddedness impacts/affects local resources

Access to local resources

3

3

4

3.33

3

Local market impacts/affects local embeddedness

Need for customization

4

3

4

3.67

4

Local resources impacts/affects local embeddedness

Through social networks

4

3

4

3.67

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Betaraya, D.M., Nasim, S., Mukhopadhyay, J. (2018). Modelling Subsidiary Innovation Factors for Semiconductor Design Industry in India. In: Connell, J., Agarwal, R., Sushil, Dhir, S. (eds) Global Value Chains, Flexibility and Sustainability. Flexible Systems Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-8929-9_7

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