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Subsidiary knowledge creation and
protection: The case of horizontal
partners in evolving high-tech clusters
Majella Giblin
Co-authors: Ulf Andersson, Alessandra Perri, Paul Ryan
Innovation & Structural Change Research Cluster,
Whitaker Institute, 19th Oct 2016
Research Question
“How do MNE subsidiaries manage –through local linkages
with horizontal partners – the trade-off between sourcing
and protecting knowledge as a cluster evolves?”
Literature Review
•  Opportunities and risks: MNEs in knowledge-based
clusters
•  Two contrasting views:
–  Strategic deterrence view (Shaver & Flyer, 2000; Alcácer, 2006;
Alcácer & Chung, 2007)
•  Spillover risks – interaction avoidance, ‘best in class’ leading
MNEs avoid co-locating in high industry concentrations
–  Physical attraction view(Cantwell & Mudambi, 2011)
•  Opportunities – ‘best in class’ leading MNEs attract
partners; become ‘insiders’; deep and wide-ranging
embeddedness
Literature Review - issues
•  Snapshots of relationships between MNE and host-location
•  MNEs and location (cluster) shape each other over time (Cano-Kollmann et al.
2016)
è Knowledge sourcing and spillover risks may change over time
•  From HQ to subsidiaries:
•  Trade-off of knowledge sourcing and risks does not just occur at the moment
of foreign location choice; it persists over time
è Managing knowledge sourcing and spillover risks is not an exclusive of
HQ; subsidiaries may have to manage linkages (Perri and Andersson 2014) – our
knowledge of what happens after the location choice is made is limited
Literature Review - issues
•  Focus on vertical linkages
•  Subsidiaries are found to adjust the ‘quality’ of linkages
(interdependence, mutual adaptation and breadth of interaction) to
vertical partners to balance knowledge spillover risk and sourcing
opportunity – depends on subsidiary’ competencies
•  What about horizontal (non value-chain) partners? Differ in terms of
knowledge spillover risk and opportunity
è For a more comprehensive understanding of managing knowledge
sourcing and risks locally we need to also examine horizontal partners of
the MNE subsidiary
Contributions of this research
•  More comprehensive understanding on how subsidiaries manage
the trade-offs between knowledge sourcing and protecting with
respect to local linkages:
•  We account for temporal dimensions – evolution of the cluster, subsidiary
and linkages over time (how the trade-off between knowledge sourcing and
spillover changes over time)
•  We investigate linkages with horizontal partners – moving beyond vertical
linkages
•  We address Cantwell and Mudambi (2011): that the physical attraction and
strategic deterrence perspectives may best predict MNE behaviour when
used in combination
•  We take the subsidiary perspective
Research Design
•  Context: Medical Technology knowledge cluster in the
West of Ireland, Galway
•  Inward FDI
•  Supply an international marketplace (customers/users
are predominantly international)
•  Local university – specialised research and teaching
activities
•  Two market leading MNE subsidiaries: Boston
Scientific and Medtronic
Research Design – Case Studies
•  Two subsidiary cases: CR Bard/Medtronic and Boston
Scientific
•  Dominant positions held in the cluster (relevance of physical attraction)
•  Direct competitors (relevance for investigating horizontal linkages)
•  Supply an international marketplace and are embedded in own vertical
international production chains (relevance for investigating horizontal
linkages)
•  Both are competence creators (relevance for their ability to adjust the
‘quantity’ and ‘quality’ of linkages locally for managing a trade-off)
•  Both operate within the same product bandwidths in the cluster, both are
of US origin, both play a strategic role within respective corporations
(relevance as quasi-control – allowing for comparisons)
Data Collection
•  35 interviews in total:
–  15 interviews: current subsidiary R&D directors/CEOs across the
two cases (2005 and 2008)
–  2 interviews: one interview (2015) with ex-R&D Director of CR
Bard (1990-1996), one interview (2010) with ex- Managing
Director of Boston Scientific (1993 – 2001)
–  9 interviews: relevant research centres and offices at NUIG
–  9 interviews: cluster-relevant organisations
–  Patent (US) analysis of subsidiaries – number, application year,
technological classes, backward citations
Technological Specialisation Technological Diversification (related)
Evolution of the cluster
Evolution of leading case subsidiaries in region
•  Manufacturing to R&D with manufacturing
•  Global Centres of Excellence/Innovation Centres
•  Patent analysis:
–  Medtronic (133), Boston Scientific (130); no other subsidiary in
cluster comes close
–  Patent production soared for both after 2000
–  Increase in technological scope over time
–  Convergence between their respective knowledge bases
(technological proximity) – increasing competition between them
–  Backward citations
Evolution of Relations with Academia
•  As subsidiaries evolved into knowledge intensive
activities and cluster evolves:
–  They became more attractive partners to university
–  Quality of relations (interdependencies, level of
interaction and mutual adaptation) enhances over time
•  Transition from arms-length contracts to joint research
activities
•  Understanding develops on the need for secrecy and an
appreciation of the different environmnets in which they
operate
Evolution of Relations among Competitors
•  As subsidiaries evolved into knowledge intensive activities and the
cluster evolves:
–  Quality of linkages decreases over time
•  Early stages of the cluster: evidence of leading subsidiaries
establishing temporary direct relations to facilitate mutually
beneficial resource inflows to the cluster
•  Always avoid direct relations on technical development, irrespective
of stage of cluster development (e.g. backward citations)
•  As cluster evolves: a communal state suspicion evolves and
subsidiaries more attentively avoid interaction to avoid knowledge
leakage
Discussion and Conclusion
•  Leading subsidiaries selectively manage their local linkages for
knowledge creation and protection associated (in contrast with laggard
subsidiaries)
•  Leading subsidiaries’ linkage behaviour varies over time to adapt to
changing conditions in the local cluster
•  As the cluster begins to develop:
–  A physical attraction logic dominates – university and competitors
•  Once the cluster knowledge base evolves and the dominant nodes
stabilise:
–  A strategic deterrence logic starts to prevail in relation to competitors
in particular
Discussion and Conclusion
•  The two logics are not mutually exclusive:
–  The prominence of one over the other shifts with the
evolution of the cluster and the partners involved
–  Subsidiaries selectively manage linkages with local
partners based on a careful evaluation of knowledge
access opportunities and spillover threats associated
with each linkage at different stages of the cluster
evolution (resource acquisition versus technical
knowledge)
THANK YOU
Majella.giblin@nuigalway.ie
Innovation & Structural Change Research Cluster,
Whitaker Institute, 19th Oct 2016

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Managing knowledge sourcing and protection through local linkages

  • 1. Subsidiary knowledge creation and protection: The case of horizontal partners in evolving high-tech clusters Majella Giblin Co-authors: Ulf Andersson, Alessandra Perri, Paul Ryan Innovation & Structural Change Research Cluster, Whitaker Institute, 19th Oct 2016
  • 2. Research Question “How do MNE subsidiaries manage –through local linkages with horizontal partners – the trade-off between sourcing and protecting knowledge as a cluster evolves?”
  • 3. Literature Review •  Opportunities and risks: MNEs in knowledge-based clusters •  Two contrasting views: –  Strategic deterrence view (Shaver & Flyer, 2000; Alcácer, 2006; Alcácer & Chung, 2007) •  Spillover risks – interaction avoidance, ‘best in class’ leading MNEs avoid co-locating in high industry concentrations –  Physical attraction view(Cantwell & Mudambi, 2011) •  Opportunities – ‘best in class’ leading MNEs attract partners; become ‘insiders’; deep and wide-ranging embeddedness
  • 4. Literature Review - issues •  Snapshots of relationships between MNE and host-location •  MNEs and location (cluster) shape each other over time (Cano-Kollmann et al. 2016) è Knowledge sourcing and spillover risks may change over time •  From HQ to subsidiaries: •  Trade-off of knowledge sourcing and risks does not just occur at the moment of foreign location choice; it persists over time è Managing knowledge sourcing and spillover risks is not an exclusive of HQ; subsidiaries may have to manage linkages (Perri and Andersson 2014) – our knowledge of what happens after the location choice is made is limited
  • 5. Literature Review - issues •  Focus on vertical linkages •  Subsidiaries are found to adjust the ‘quality’ of linkages (interdependence, mutual adaptation and breadth of interaction) to vertical partners to balance knowledge spillover risk and sourcing opportunity – depends on subsidiary’ competencies •  What about horizontal (non value-chain) partners? Differ in terms of knowledge spillover risk and opportunity è For a more comprehensive understanding of managing knowledge sourcing and risks locally we need to also examine horizontal partners of the MNE subsidiary
  • 6. Contributions of this research •  More comprehensive understanding on how subsidiaries manage the trade-offs between knowledge sourcing and protecting with respect to local linkages: •  We account for temporal dimensions – evolution of the cluster, subsidiary and linkages over time (how the trade-off between knowledge sourcing and spillover changes over time) •  We investigate linkages with horizontal partners – moving beyond vertical linkages •  We address Cantwell and Mudambi (2011): that the physical attraction and strategic deterrence perspectives may best predict MNE behaviour when used in combination •  We take the subsidiary perspective
  • 7. Research Design •  Context: Medical Technology knowledge cluster in the West of Ireland, Galway •  Inward FDI •  Supply an international marketplace (customers/users are predominantly international) •  Local university – specialised research and teaching activities •  Two market leading MNE subsidiaries: Boston Scientific and Medtronic
  • 8. Research Design – Case Studies •  Two subsidiary cases: CR Bard/Medtronic and Boston Scientific •  Dominant positions held in the cluster (relevance of physical attraction) •  Direct competitors (relevance for investigating horizontal linkages) •  Supply an international marketplace and are embedded in own vertical international production chains (relevance for investigating horizontal linkages) •  Both are competence creators (relevance for their ability to adjust the ‘quantity’ and ‘quality’ of linkages locally for managing a trade-off) •  Both operate within the same product bandwidths in the cluster, both are of US origin, both play a strategic role within respective corporations (relevance as quasi-control – allowing for comparisons)
  • 9. Data Collection •  35 interviews in total: –  15 interviews: current subsidiary R&D directors/CEOs across the two cases (2005 and 2008) –  2 interviews: one interview (2015) with ex-R&D Director of CR Bard (1990-1996), one interview (2010) with ex- Managing Director of Boston Scientific (1993 – 2001) –  9 interviews: relevant research centres and offices at NUIG –  9 interviews: cluster-relevant organisations –  Patent (US) analysis of subsidiaries – number, application year, technological classes, backward citations
  • 10. Technological Specialisation Technological Diversification (related) Evolution of the cluster
  • 11. Evolution of leading case subsidiaries in region •  Manufacturing to R&D with manufacturing •  Global Centres of Excellence/Innovation Centres •  Patent analysis: –  Medtronic (133), Boston Scientific (130); no other subsidiary in cluster comes close –  Patent production soared for both after 2000 –  Increase in technological scope over time –  Convergence between their respective knowledge bases (technological proximity) – increasing competition between them –  Backward citations
  • 12. Evolution of Relations with Academia •  As subsidiaries evolved into knowledge intensive activities and cluster evolves: –  They became more attractive partners to university –  Quality of relations (interdependencies, level of interaction and mutual adaptation) enhances over time •  Transition from arms-length contracts to joint research activities •  Understanding develops on the need for secrecy and an appreciation of the different environmnets in which they operate
  • 13. Evolution of Relations among Competitors •  As subsidiaries evolved into knowledge intensive activities and the cluster evolves: –  Quality of linkages decreases over time •  Early stages of the cluster: evidence of leading subsidiaries establishing temporary direct relations to facilitate mutually beneficial resource inflows to the cluster •  Always avoid direct relations on technical development, irrespective of stage of cluster development (e.g. backward citations) •  As cluster evolves: a communal state suspicion evolves and subsidiaries more attentively avoid interaction to avoid knowledge leakage
  • 14. Discussion and Conclusion •  Leading subsidiaries selectively manage their local linkages for knowledge creation and protection associated (in contrast with laggard subsidiaries) •  Leading subsidiaries’ linkage behaviour varies over time to adapt to changing conditions in the local cluster •  As the cluster begins to develop: –  A physical attraction logic dominates – university and competitors •  Once the cluster knowledge base evolves and the dominant nodes stabilise: –  A strategic deterrence logic starts to prevail in relation to competitors in particular
  • 15. Discussion and Conclusion •  The two logics are not mutually exclusive: –  The prominence of one over the other shifts with the evolution of the cluster and the partners involved –  Subsidiaries selectively manage linkages with local partners based on a careful evaluation of knowledge access opportunities and spillover threats associated with each linkage at different stages of the cluster evolution (resource acquisition versus technical knowledge)
  • 16. THANK YOU Majella.giblin@nuigalway.ie Innovation & Structural Change Research Cluster, Whitaker Institute, 19th Oct 2016