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Ecosystems, driving forces for technology use. Invisible
in statistics?
Steven Dhondt – Scientific coordinator H2020 Beyond4.0
Expert Workshop with Statistical Offices. Statistical Needs for Research in
Social Sciences on the Technological Transformation
March 29th 2021 (CNAM – Paris)
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 8222293.
Ecosystems, driving forces for technology. Invisible in statistics?
Structure
•The importance of ecosystems
•What is visible in statistics?
•Should ecosystems be visible?
•What are the challenges?
Ecosystems, driving forces for technology. Invisible in statistics?
Ecosystems, driving forces for technology. Invisible in statistics?
The importance of ecosystems
• Networking thinking has been long been central in economics
• Topsectors, intersector mobility, clusters
• Triple Helix, Quadruple Helix
• Ecosystems, Entrepreneurial Ecosystems
• Incumbent, emerging ecosystems
STATIC
DYNAMIC
MULTI-LEVEL
CAS
Ecosystems, driving forces for technology. Invisible in statistics?
Ecosystem level
Organisational level
Individual level
Which firms? Which networks? How to
connect?
Which employees? Which
characteristics?
Ecosystems, driving forces for technology. Invisible in statistics?
The Entrepreneurial Ecosystem framework …
… allows rating ecosystems in regions …
… giving view on the economic impact of good working
EE’s …
… but we know there are different types of ecosystems
(QCA), requiring more insight.
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 8222293.
Ecosystems, driving forces for technology. Invisible in statistics?
Ecosystem level qualifications need lower level support.
What is visible?
Ecosystems, driving forces for technology. Invisible in statistics?
• Multi-level concept, but measured only at the highest level, not even
representing the ecosystem itself
• The regional level is main measurement level.
• Standard data is available: demography, employment, productivity, etc.
• Separate policy levels
• Education
• Policy making
• Levels act as separate realities
• Institutions
• Organisational actors, regional stakeholders
• First-line workers
Ecosystems, driving forces for technology. Invisible in statistics?
Should it be visible?
• We need to understand more about:
• The renewal of ecosystems
• We need to assess the ‘health’ of ecosystems
• We need to understand how to direct the means
• There is competition about the means: regional statistic do not identify this
• The operational building blocks are defined by the strongest statistical block
• The connection between the levels is not really visible
• No real view of the distinctive challenges of the sub-regional networks
Multiple bias as the main challenge
Ecosystems, driving forces for technology. Invisible in statistics?
Dominant perspective Ecosystem level Organisational Individual workers
… at context level Country as context, rather
than inter-ecosystem
competition
Aggregation at sectoral
level, rather than
intersectoral
Employed as main focus,
but what with
unemployed, self-
employed
… at main entrance level Region as dominant
perspective: we miss the
alternatives
Ecosystem = focal
company? No distinction
in types of firms
Core group is high-skilled,
no view on other workers
… at impact level Limited view on outcomes
(# ventures)
No differences between
types of firms
Types of impacts
One type of employee
Learning as an individual
responsibility
Consequences No room for emerging
players in regions
Limits view on relations
and networks
Missing spill-over on other
than core group
Future research agenda: multilevel statistics
• More conceptual work needed …
• … requires more and more detailed regional statistics …
• … to allow new experimental approaches to research : connecting the
different levels …
• … to eventually deliver guidance for new statistical level.
Ecosystems, driving forces for technology. Invisible in statistics?
Thank you!
Ecosystems, driving forces for technology. Invisible in statistics?
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 8222293.
Ecosystems, driving forces for technology. Invisible in statistics?
For further reading
Leendertse, J., Schrijvers, M. and Stam, E. (2020) Measure Twice, Cut Once. Entrepreneurial Ecosystem Metrics. Utrecht University School of Economics Working Paper
Series 20-01.
OECD (2021). Local entrepreneurship ecosystems and emerging industries: Case study of Cambridgeshire and Peterborough, United Kingdom. Paris: OECD SME and
Entrepreneurship Papers 2021/01 (https://dx.doi.org/10.1787/044ffc1d-en)
Roundy, P.T., Bradshaw, M. and Brockman, B.K. (2018) ‘The emergence of entrepreneurial ecosystems: A complex adaptive systems approach’, Journal of Business Research,
86, pp. 1–10. doi: 10.1016/j.jbusres.2018.01.032
Schäfer, S., and Mayer, H. (2019) Entrepreneurial ecosystems: Founding figures and research frontiers in economic geography. Zeitschrift für Wirtschaftsgeographie Volume
63 Issue 2-4 De Gruyter | Published online: November 13, 2019 DOI: https://doi.org/10.1515/zfw-2019-0008
Schrijvers, M. (2020). Figuring it out: Configurations of high-performing entrepreneurial ecosystems in Europe. 18th Interdisciplinary European Conference on
Entrepreneurship Research, Covilhã, Portugal, 2020, 17p.
Stam, E., Van de Ven, A., 2019. Entrepreneurial Ecosystem Elements. Small Bus. Econ. 1–24.

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4. Invisible in statistics

  • 1. Ecosystems, driving forces for technology use. Invisible in statistics? Steven Dhondt – Scientific coordinator H2020 Beyond4.0 Expert Workshop with Statistical Offices. Statistical Needs for Research in Social Sciences on the Technological Transformation March 29th 2021 (CNAM – Paris) This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 8222293. Ecosystems, driving forces for technology. Invisible in statistics?
  • 2. Structure •The importance of ecosystems •What is visible in statistics? •Should ecosystems be visible? •What are the challenges? Ecosystems, driving forces for technology. Invisible in statistics?
  • 3. Ecosystems, driving forces for technology. Invisible in statistics? The importance of ecosystems • Networking thinking has been long been central in economics • Topsectors, intersector mobility, clusters • Triple Helix, Quadruple Helix • Ecosystems, Entrepreneurial Ecosystems • Incumbent, emerging ecosystems STATIC DYNAMIC MULTI-LEVEL CAS
  • 4. Ecosystems, driving forces for technology. Invisible in statistics? Ecosystem level Organisational level Individual level Which firms? Which networks? How to connect? Which employees? Which characteristics?
  • 5. Ecosystems, driving forces for technology. Invisible in statistics? The Entrepreneurial Ecosystem framework …
  • 6. … allows rating ecosystems in regions …
  • 7. … giving view on the economic impact of good working EE’s …
  • 8. … but we know there are different types of ecosystems (QCA), requiring more insight. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 8222293. Ecosystems, driving forces for technology. Invisible in statistics? Ecosystem level qualifications need lower level support.
  • 9. What is visible? Ecosystems, driving forces for technology. Invisible in statistics? • Multi-level concept, but measured only at the highest level, not even representing the ecosystem itself • The regional level is main measurement level. • Standard data is available: demography, employment, productivity, etc. • Separate policy levels • Education • Policy making • Levels act as separate realities • Institutions • Organisational actors, regional stakeholders • First-line workers
  • 10. Ecosystems, driving forces for technology. Invisible in statistics? Should it be visible? • We need to understand more about: • The renewal of ecosystems • We need to assess the ‘health’ of ecosystems • We need to understand how to direct the means • There is competition about the means: regional statistic do not identify this • The operational building blocks are defined by the strongest statistical block • The connection between the levels is not really visible • No real view of the distinctive challenges of the sub-regional networks
  • 11. Multiple bias as the main challenge Ecosystems, driving forces for technology. Invisible in statistics? Dominant perspective Ecosystem level Organisational Individual workers … at context level Country as context, rather than inter-ecosystem competition Aggregation at sectoral level, rather than intersectoral Employed as main focus, but what with unemployed, self- employed … at main entrance level Region as dominant perspective: we miss the alternatives Ecosystem = focal company? No distinction in types of firms Core group is high-skilled, no view on other workers … at impact level Limited view on outcomes (# ventures) No differences between types of firms Types of impacts One type of employee Learning as an individual responsibility Consequences No room for emerging players in regions Limits view on relations and networks Missing spill-over on other than core group
  • 12. Future research agenda: multilevel statistics • More conceptual work needed … • … requires more and more detailed regional statistics … • … to allow new experimental approaches to research : connecting the different levels … • … to eventually deliver guidance for new statistical level. Ecosystems, driving forces for technology. Invisible in statistics?
  • 13. Thank you! Ecosystems, driving forces for technology. Invisible in statistics? This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 8222293.
  • 14. Ecosystems, driving forces for technology. Invisible in statistics? For further reading Leendertse, J., Schrijvers, M. and Stam, E. (2020) Measure Twice, Cut Once. Entrepreneurial Ecosystem Metrics. Utrecht University School of Economics Working Paper Series 20-01. OECD (2021). Local entrepreneurship ecosystems and emerging industries: Case study of Cambridgeshire and Peterborough, United Kingdom. Paris: OECD SME and Entrepreneurship Papers 2021/01 (https://dx.doi.org/10.1787/044ffc1d-en) Roundy, P.T., Bradshaw, M. and Brockman, B.K. (2018) ‘The emergence of entrepreneurial ecosystems: A complex adaptive systems approach’, Journal of Business Research, 86, pp. 1–10. doi: 10.1016/j.jbusres.2018.01.032 Schäfer, S., and Mayer, H. (2019) Entrepreneurial ecosystems: Founding figures and research frontiers in economic geography. Zeitschrift für Wirtschaftsgeographie Volume 63 Issue 2-4 De Gruyter | Published online: November 13, 2019 DOI: https://doi.org/10.1515/zfw-2019-0008 Schrijvers, M. (2020). Figuring it out: Configurations of high-performing entrepreneurial ecosystems in Europe. 18th Interdisciplinary European Conference on Entrepreneurship Research, Covilhã, Portugal, 2020, 17p. Stam, E., Van de Ven, A., 2019. Entrepreneurial Ecosystem Elements. Small Bus. Econ. 1–24.