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Modeling Dynamic Capabilities and
Corporate Entrepreneurship for innovation focused
growth economies
Ruta Aidis
Senior Fellow, George Mason University
Senior Researcher, Kaunas University of Technology
Asta Pundziene, Vice Rector of Research, KTU
Solveiga Buoziute-Rafanaviciene, Assoc. Professor, KTU
Monika Petraite, Dean, Social Science Faculty, KTU
Sigita Neverauskaite, PhD Candidate
Evelina Meiliene, Head, Development Project Center

Center for
Entrepreneurship and
Public Policy (CEPP)
Objectives
• Explore how entrepreneurship and dynamic
capabilities have been quantified
• Identify the essential components
• Introduce a model and framework
Goal: To create a quantitative measurement tool
for dynamic capabilities and corporate
entrepreneurship at the firm level
R. Aidis - RENT XXVII - Vilnius - 2013

2
Outline
1. Introduction
2. Quantifying Entrepreneurship for crosscountry comparison
3. Quantifying Dynamic Capabilities for crosscountry comparison
4. Assessment, Essential Components,
Framework and Model

R. Aidis - RENT XXVII - Vilnius - 2013

3
I. Introduction
• no clear conceptual model for the
interrelationships among dynamic capabilities,
corporate entrepreneurship, innovation and
economic growth.
• Some suggest that entrepreneurial activities are
antecedents of dynamic capabilities (Lei-Yu 2007)
• Others identify dynamic capabilities as a
moderating variable for developing innovations
(Zahra, Sapienza and Davidsson 2006)
R. Aidis - RENT XXVII - Vilnius - 2013

4
Our perspective
Dynamic capabilities (DC) = creating the conditions for
the implementation of innovative practices as well as
new knowledge and concept development through
learning
Entrepreneurship = impetus to apply new knowledge and
concepts through experimentation and
institutionalization of innovations
• Within firms, dynamic capabilities are the foundations
for corporate entrepreneurship
• Which creates a double loop for organizational
learning.
R. Aidis - RENT XXVII - Vilnius - 2013

5
Our working model
Antecedent

Input

Output

Consequent

Back loop

Consequent

Corporate
entrepreneurship

Tech and
innovation based
business

Economic
growth

Analytical
system;
organizational
settings for;
Learning &
knowledge
management

Opportunity search;
recognition;
exploitation.

Innovation level:
Innovations in
model; product;
services, investment
in R&D etc.

Growth in
GDP, jobs,
demand&
supply

Antecedent

Dynamic
capabilities

Learning loop

R. Aidis - RENT XXVII - Vilnius - 2013

6
2) Quantifying entrepreneurship:
Suitable conditions

Institutions matter for entrepreneurship
development
(Baumol, North, and others)

R. Aidis - RENT XXVII - Vilnius - 2013

7
Quantifying Entrepreneurship:
individuals
• Global Entrepreneurship Monitor (GEM)
– Total Entrepreneurship Activity (TEA)
– Entrepreneurial attitudes, activity and aspirations

• Global Entrepreneurship and Development Index
(GEDI)
-

Institutional and Individual Variables combined
Penalty for Bottleneck methodology
Brings in data from the World Bank’s Ease of Doing business Index
World Economic Forum’s Global Competitiveness Index
R. Aidis - RENT XXVII - Vilnius - 2013

8
Quantifying Entrepreneurship within
firms: Corporate entrepreneurship
Entrepreneurial Employee Activity (EEA) – GEM
• 54 countries in 2011
• EEA characteristics
– Similar to TEA: skills, opportunity, fof, know entrepreneur
– Less exposed to financial risk
– Access to additional resources

• EEA not very widespread – 5% of employees
• Most prevalent in innovation driven economies
R. Aidis - RENT XXVII - Vilnius - 2013

9
EEA in selected countries
Country

Entrepreneurial Employee
Activity (EEA)

Total Entrepreneurship
Activity (TEA)

Lithuania

3.4

11.3

Poland

2.3

9.0

Slovakia

2.7

14.2

Latvia

2.2

11.9

Denmark

9.2

4.6

Sweden

13.5

5.8

Finland

8.0

6.3

US

5.3

12.3

Germany

3.5

5.6

R. Aidis - RENT XXVII - Vilnius - 2013

10
EEA explained
• Countries with high rates of EEA tend to
–
–
–
–
–

Highly educated employees
High level economic freedom
High level of social security
‘perceived employer support’
National cultural that supports job autonomy

• Supportive internal organizational culture
• EEA is most prevalent in the private sector (2/3)
but also takes place in the public sector (1/3)
R. Aidis - RENT XXVII - Vilnius - 2013

11
Conceptualizing DC:
Teece et al (1997, 2007)

Adapting, integrating and reconfiguring internal and
external organizational skills, resources and
functional competences to match the requirements of
the changing environment

Three stages of building DC:
• Sensing
• Seizing
• Transforming
R. Aidis - RENT XXVII - Vilnius - 2013

12
Conceptualizing DC
In terms of organizational learning (March 1991)
Exploring vs. Exploiting resources
Exploring: search, variation, risk-taking, experimentation,
play, flexibility, discovery and innovation
Exploitation: refinement, choice, productions, efficiency,
selection, implementation and execution
Are inter-related activities (Zollo & Winter 2002)
R. Aidis - RENT XXVII - Vilnius - 2013

13
Quantifying Dynamic Capabilities 1
• Deeds et al (1999) 94 biotech company IPOs – firm,
environment, quality of team
• Alvarez and Merino (2003) Savings and Loans institutions in
Spain – firm & environment

• Lei-Yu Wei (2007) 200 Taiwanese high-tech firms managing resources, ability to respond, cooperative teams
• MacInerney-May (2012) 265 business units from 179 large
companies in Germany – knowledge & capability
flexible/decentralized/formalization supports DC
R. Aidis - RENT XXVII - Vilnius - 2013

14
Quantifying Dynamic Capabilities 2
Alsos, Borch, Ljunggren and Madsen (2008)

Empirically test the validity of DC conceptualized as 4 types of activities:
Internal Exploration/ Exploitation
External Exploration/ Exploration
677 innovative firms in Norway
Renamed categories:
1. External observation and evaluation
2. External resource acquisition
3. Internal resource reconfiguration
4. Internal resource renewal
Dutch study (Leliveld & Smeitink, 2013)- 99 SMEs also found that age,
education and international focus effects firm performance
R. Aidis - RENT XXVII - Vilnius - 2013

15
Entrepreneurship, Innovation and
Dynamic Capabilities Model
“Transforming”

“Seizing”

“Sensing”

Institutional
Environment

Managerial
practices

Individual-level
responses

Macro-level
factors

Firm-level
factors

Entrepreneurial
action (EEA)

External
Incentives

Internal
Incentives

•Opportunity
Recognition

•Regulatory
Environment

•Resources

•Willingness to fail

• Decentralization

•R&D
Environment

•Strategic
Alliances

•Skill &
Capabilities

•Macro-Stability

•Capabilities

R. Aidis - RENT XXVII - Vilnius - 2013

•Developing &
innovative activity

16
Measurement dimensions
Transforming : Institutional
Environment
• R&D expenditure
• Globalization
• Business Risk
• Regulatory environment
• Social Security
• National culture (Hofstede)
• National values (World Values
Survey)
• Economic Freedom

Seizing: Organizational Culture
• Decentralization
• Flexibility
• Formalization
• Exporting/Globalization
• Internal/External
Exploring/Exploitation
Sensing: Entrepreneurial
Employee characteristics
• Opportunity Recognition
• Skills
• Willingness to Fail
• Age
• Education

R. Aidis - RENT XXVII - Vilnius - 2013

17
Conclusions
• Dynamic Capabilities are measurable
• The overall institutional environment matters
and affects DC development which in turn
affects corporate entrepreneurship
• Entrepreneurs and Entrepreneurial employees
share many similar characteristics but may
also be affected by different incentives

R. Aidis - RENT XXVII - Vilnius - 2013

18
Further steps
• Identify firm sample
• Pilot dynamic capabilities measurements
• Model development/testing/refining

R. Aidis - RENT XXVII - Vilnius - 2013

19

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Modeling Dynamic Capabilities and Corporate Entrepreneurship for Innovation Focused Growth Economies

  • 1. Modeling Dynamic Capabilities and Corporate Entrepreneurship for innovation focused growth economies Ruta Aidis Senior Fellow, George Mason University Senior Researcher, Kaunas University of Technology Asta Pundziene, Vice Rector of Research, KTU Solveiga Buoziute-Rafanaviciene, Assoc. Professor, KTU Monika Petraite, Dean, Social Science Faculty, KTU Sigita Neverauskaite, PhD Candidate Evelina Meiliene, Head, Development Project Center Center for Entrepreneurship and Public Policy (CEPP)
  • 2. Objectives • Explore how entrepreneurship and dynamic capabilities have been quantified • Identify the essential components • Introduce a model and framework Goal: To create a quantitative measurement tool for dynamic capabilities and corporate entrepreneurship at the firm level R. Aidis - RENT XXVII - Vilnius - 2013 2
  • 3. Outline 1. Introduction 2. Quantifying Entrepreneurship for crosscountry comparison 3. Quantifying Dynamic Capabilities for crosscountry comparison 4. Assessment, Essential Components, Framework and Model R. Aidis - RENT XXVII - Vilnius - 2013 3
  • 4. I. Introduction • no clear conceptual model for the interrelationships among dynamic capabilities, corporate entrepreneurship, innovation and economic growth. • Some suggest that entrepreneurial activities are antecedents of dynamic capabilities (Lei-Yu 2007) • Others identify dynamic capabilities as a moderating variable for developing innovations (Zahra, Sapienza and Davidsson 2006) R. Aidis - RENT XXVII - Vilnius - 2013 4
  • 5. Our perspective Dynamic capabilities (DC) = creating the conditions for the implementation of innovative practices as well as new knowledge and concept development through learning Entrepreneurship = impetus to apply new knowledge and concepts through experimentation and institutionalization of innovations • Within firms, dynamic capabilities are the foundations for corporate entrepreneurship • Which creates a double loop for organizational learning. R. Aidis - RENT XXVII - Vilnius - 2013 5
  • 6. Our working model Antecedent Input Output Consequent Back loop Consequent Corporate entrepreneurship Tech and innovation based business Economic growth Analytical system; organizational settings for; Learning & knowledge management Opportunity search; recognition; exploitation. Innovation level: Innovations in model; product; services, investment in R&D etc. Growth in GDP, jobs, demand& supply Antecedent Dynamic capabilities Learning loop R. Aidis - RENT XXVII - Vilnius - 2013 6
  • 7. 2) Quantifying entrepreneurship: Suitable conditions Institutions matter for entrepreneurship development (Baumol, North, and others) R. Aidis - RENT XXVII - Vilnius - 2013 7
  • 8. Quantifying Entrepreneurship: individuals • Global Entrepreneurship Monitor (GEM) – Total Entrepreneurship Activity (TEA) – Entrepreneurial attitudes, activity and aspirations • Global Entrepreneurship and Development Index (GEDI) - Institutional and Individual Variables combined Penalty for Bottleneck methodology Brings in data from the World Bank’s Ease of Doing business Index World Economic Forum’s Global Competitiveness Index R. Aidis - RENT XXVII - Vilnius - 2013 8
  • 9. Quantifying Entrepreneurship within firms: Corporate entrepreneurship Entrepreneurial Employee Activity (EEA) – GEM • 54 countries in 2011 • EEA characteristics – Similar to TEA: skills, opportunity, fof, know entrepreneur – Less exposed to financial risk – Access to additional resources • EEA not very widespread – 5% of employees • Most prevalent in innovation driven economies R. Aidis - RENT XXVII - Vilnius - 2013 9
  • 10. EEA in selected countries Country Entrepreneurial Employee Activity (EEA) Total Entrepreneurship Activity (TEA) Lithuania 3.4 11.3 Poland 2.3 9.0 Slovakia 2.7 14.2 Latvia 2.2 11.9 Denmark 9.2 4.6 Sweden 13.5 5.8 Finland 8.0 6.3 US 5.3 12.3 Germany 3.5 5.6 R. Aidis - RENT XXVII - Vilnius - 2013 10
  • 11. EEA explained • Countries with high rates of EEA tend to – – – – – Highly educated employees High level economic freedom High level of social security ‘perceived employer support’ National cultural that supports job autonomy • Supportive internal organizational culture • EEA is most prevalent in the private sector (2/3) but also takes place in the public sector (1/3) R. Aidis - RENT XXVII - Vilnius - 2013 11
  • 12. Conceptualizing DC: Teece et al (1997, 2007) Adapting, integrating and reconfiguring internal and external organizational skills, resources and functional competences to match the requirements of the changing environment Three stages of building DC: • Sensing • Seizing • Transforming R. Aidis - RENT XXVII - Vilnius - 2013 12
  • 13. Conceptualizing DC In terms of organizational learning (March 1991) Exploring vs. Exploiting resources Exploring: search, variation, risk-taking, experimentation, play, flexibility, discovery and innovation Exploitation: refinement, choice, productions, efficiency, selection, implementation and execution Are inter-related activities (Zollo & Winter 2002) R. Aidis - RENT XXVII - Vilnius - 2013 13
  • 14. Quantifying Dynamic Capabilities 1 • Deeds et al (1999) 94 biotech company IPOs – firm, environment, quality of team • Alvarez and Merino (2003) Savings and Loans institutions in Spain – firm & environment • Lei-Yu Wei (2007) 200 Taiwanese high-tech firms managing resources, ability to respond, cooperative teams • MacInerney-May (2012) 265 business units from 179 large companies in Germany – knowledge & capability flexible/decentralized/formalization supports DC R. Aidis - RENT XXVII - Vilnius - 2013 14
  • 15. Quantifying Dynamic Capabilities 2 Alsos, Borch, Ljunggren and Madsen (2008) Empirically test the validity of DC conceptualized as 4 types of activities: Internal Exploration/ Exploitation External Exploration/ Exploration 677 innovative firms in Norway Renamed categories: 1. External observation and evaluation 2. External resource acquisition 3. Internal resource reconfiguration 4. Internal resource renewal Dutch study (Leliveld & Smeitink, 2013)- 99 SMEs also found that age, education and international focus effects firm performance R. Aidis - RENT XXVII - Vilnius - 2013 15
  • 16. Entrepreneurship, Innovation and Dynamic Capabilities Model “Transforming” “Seizing” “Sensing” Institutional Environment Managerial practices Individual-level responses Macro-level factors Firm-level factors Entrepreneurial action (EEA) External Incentives Internal Incentives •Opportunity Recognition •Regulatory Environment •Resources •Willingness to fail • Decentralization •R&D Environment •Strategic Alliances •Skill & Capabilities •Macro-Stability •Capabilities R. Aidis - RENT XXVII - Vilnius - 2013 •Developing & innovative activity 16
  • 17. Measurement dimensions Transforming : Institutional Environment • R&D expenditure • Globalization • Business Risk • Regulatory environment • Social Security • National culture (Hofstede) • National values (World Values Survey) • Economic Freedom Seizing: Organizational Culture • Decentralization • Flexibility • Formalization • Exporting/Globalization • Internal/External Exploring/Exploitation Sensing: Entrepreneurial Employee characteristics • Opportunity Recognition • Skills • Willingness to Fail • Age • Education R. Aidis - RENT XXVII - Vilnius - 2013 17
  • 18. Conclusions • Dynamic Capabilities are measurable • The overall institutional environment matters and affects DC development which in turn affects corporate entrepreneurship • Entrepreneurs and Entrepreneurial employees share many similar characteristics but may also be affected by different incentives R. Aidis - RENT XXVII - Vilnius - 2013 18
  • 19. Further steps • Identify firm sample • Pilot dynamic capabilities measurements • Model development/testing/refining R. Aidis - RENT XXVII - Vilnius - 2013 19