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A Conceptual Model for Innovation Research in the Bio-economy. Content. Contextual factors Innovation research and development Conceptual model for innovation research Empirical cases Discussion. 1. Contextual factors.

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  • Contextualfactors
  • Innovationresearch anddevelopment
  • Conceptualmodel forinnovationresearch
  • Empiricalcases
  • Discussion

1 contextual factors
1. Contextual factors
  • Influenced by different pressures, the economy based largely on petroleum is transitioningtowards a diverse economy with renewable biomass as an important feedstock for both fuel and chemical production.
  • To realize this transition, incremental innovations alone will not suffice. More radical innovations are crucial for a successful transition to a more sustainable system.
  • The necessary applied innovation research is complex and will have to be organized on the interface of different disciplines.
  • But the classic research models usually follow a linear process and are often restricted to a single discipline.
  • To circumvent the barriers biotechnological inventions face and to identify the underlying bottlenecks, methodologically innovative research approaches are needed.

2 innovation research and development
2. Innovation research anddevelopment
  • Currently, most agricultural innovation researchers use a linear model of knowledge creation and transfer of technology.
  • The results are techno-scientifically sound inventions, but are often inapplicable to real world problems.
  • Main reason for the inapplicability: undiscovered bottlenecks which hinder the market adoption.
  • These bottlenecks can originate from the six different dimensions of the dominant socio-technical regime.

Geels, 2007

2 innovation research and development1
2. Innovation research anddevelopment
  • Identifying and developing solutions for the diverse bottlenecks, requires integrated knowledge of multiple scientific disciplines.
  • Technology is also becoming increasingly complex and dynamic.

Result: The traditional, linear, science driven approach with its uni- disciplinary focus and closed boundaries, is no longer sufficient.

  • Innovation is increasingly approached from a systems perspective.
  • System perspective: innovation process is nonlinear and iterative. Feedback loops are incorporated in the process to maximize learning and knowledge creation between collaborating partners.

2 innovation research and development2
2. Innovation research anddevelopment
  • Multidisciplinary approach
  • Stakeholder participation and collaboration

- Multidisciplinary knowledge and expertise

- Lower individual financial costs

- Division of tasks

- Faster time to market

- Creation of legitimacy and credibility

  • Non-linear and flexible trajectory
  • Iterative learning loops

2 innovation research and development3
2. Innovation research anddevelopment
  • Multidisciplinary approach
  • Stakeholder participation and collaboration
  • Non-linear and flexible trajectory
  • Iterative learning loops

3 conceptual model for innovation research
3. Conceptualmodel forinnovationresearch

Bergeket al. (2008); Bruns et al. (2008); Gallagher et al. (2012); FetterhoffandVoelkel (2006); WallinandvonKrogh (2010); Nambisan et al. (2012) andowninsights

3 conceptual model for innovation research1
3. Conceptual model forinnovation research


Objective 1.Identification of viable innovation pathways Important criterion: Amount of bottlenecks that hinder development and implementation

Determining bottlenecks: - Scanning relevant literature - Stakeholder participation

Objective 2.Identification of relevant stakeholders

Relevant stakeholders: - Identify bottlenecks - Provide supporting resources

Primarysources: - Industry associations - Patent analysis - Expert interviews

Innovation impulse

Stakeholder selection

4 empirical cases
4. Empirical cases

Case 1: The high-value valorization of vegetable and fruit by- products from the agri-food industry.

Case 2: A valuable use for discards, valorizing unwanted and underutilized fish.

Case 3: The valorization of by-products from agriculture and horticulture through composting.

4 empirical cases1
4. Empirical cases
  • Which bottlenecks and opportunities are taking into account
  • How were bottlenecks and opportunities identified
  • Which stakeholders were identified
  • How were stakeholders identified
  • How were stakeholders consulted

5 discussion
5. Discussion
  • Opportunities and bottlenecks concerning innovation arise in all regime dimensions Multi-dimensionalperspective:

5 discussion1
5. Discussion
  • The cases show how stakeholder participation can quickly expand the knowledge of the individual organization:

- In case one an additional potentially valuable by-product of endive was discovered thanks to stakeholder interaction

  • The importance of the scope definition phase as a networking phase, is also illustrated:

- Both in case one and three the innovation network expanded due to acquired contact information from other stakeholders.

  • Flexible nature of the research process is illustrated in the cases:

- Case one and two narrow the different possible innovation pathways, while case three broadens the view to identify all potential bottlenecks and opportunities that different stakeholders experience.

- Case one used a focus group to double check gathered data and to receive information, other cases relied on individual interviews.

-Case three conducted some preliminary research in scope definition phase


A Conceptual Model for Innovation Research in the Bio-economy