Smart Specialisation: insights from the North American periphery

Crawley, Andrew; Hallowell, Angela

doi:10.1080/00343404.2020.1711877

Cited by 10 publications

(9 citation statements)

References 33 publications

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“…In this process, policy‐makers engage with local businesses, third sector, and communities from the bottom‐up to establish what their priorities and future direction should be, rather than “picking winners” from the top down, which has been found to have limited success (ibid). The other benefit of the entrepreneurial discovery process approach is that there is a wealth of research currently being undertaken across Europe, thus providing quick lessons as to the benefits and pitfalls of the approach that may be instructive for Oman (e.g., Crawley & Hallowell, 2020; Gianelle et al., 2020; Valdmaa et al., 2020).…”

Section: Discussion: Shifting the Present Omani Incubation Model To A More Value‐added One: Policy Recommendationsmentioning

confidence: 99%

Applying the ecosystem model in a new context? The case of business incubation in Oman

et al. 2021

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This paper studies entrepreneurship ecosystem development in a context little discussed in the extant literature to date: Oman. Specifically, it focuses on business incubation (BI) initiatives as a policy tool for developing the local, regional, and national systems of supporting entrepreneurship and SME growth. Although BI’s are a popular policy measure for ecosystem development, spreading globally from their original conception in the United States around 60 years ago, their universal effectiveness is questioned. We analyse the tenability of BI as an economic development strategy by entrepreneurship ecosystems as a conceptual framework to help us understand the multitudinous cultural, institutional, and governance structures required for success. Specifically, we consider these ecosystem dynamics and their influence on the incubation of SMEs in the novel context of an oil‐rich yet transitioning economy such as Oman. Conducting interviews with 22 key informants within a range of ecosystem actors (policy‐makers, incubator managers, academics, and entrepreneurs) we find that existing capabilities within the Omani BI programme are not yet fully fit for purpose, highlighting the need to establish developmental priorities for the wider entrepreneurial ecosystem, bottom‐up. Finally, we reflect on the wider cultural and institutional constraints highlighted, and suggest potentially fruitful avenues for further research.

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Section: Discussion: Shifting the Present Omani Incubation Model To A More Value‐added One: Policy Recommendationsmentioning

confidence: 99%

Applying the ecosystem model in a new context? The case of business incubation in Oman

et al. 2021

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“…This probably explains why some regions (even highly innovative ones) tend to favour status quo and “bolting on” to pre‐existent strategies rather than large‐scale transformations (Kristensen & Pugh, 2023). Finding consensus on priority selection remains a challenge (Crawley & Hallowell, 2021). To assist regions as they diversify into more complex technologies, Balland et al (2019) propose a policy framework based on relatedness and knowledge complexity.…”

Section: European and Canadian Experiences In Regional Innovation Pol...mentioning

confidence: 99%

Comparing innovation strategies: Canada's Ocean Supercluster and Europe's Smart Specialisation initiatives

Fil Kristensen,

Shearmur,

Doloreux

2023

Can Public Adm

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The Global Innovation Clusters’ Initiative (GIC) is an innovation program launched in Canada. This article aims to describe the policy, in particular its key similarities and differences with the Europe's Smart Specialisation (S3) policy initiative, and critically explore the logic behind its inception. The article reveals that although policy implementation practices are bespoke and context‐specific, the need to increase coordination between different levels and sectors of policy making is acknowledged to be important for achieving both innovation and local economic development objectives.

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“…Asheim et al, 2020). The RIS approach has been developed to be an instrument for national and regional policymakers to encourage innovation and knowledge creation (Asheim and Coenen, 2005;Crawley and Hallowell, 2021), and is based on the literatures on Marshallian industrial districts, economic geography, innovative surroundings, innovation clusters and national systems highlighting the central role of knowledge, and the interaction between the different agents involved in innovation across the public and private sectors (Cooke et al, 1998;Asheim et al, 2011).…”

Section: Related Literaturementioning

confidence: 99%

“…In practice, an age-friendly SLE represents a living environment that encompasses digital technology solutions integrated with the services that sustain a senior citizen's comfortable, independent, secure, and active life outside institutional care settings and responds to the requirements of the elder care sector (Lui et al, 2009;Weck et al, 2020;Crawley and Hallowell, 2021). In short, the physical space where these services take place, enabled by the Internet of Things (IoT) and information and communication technologies (ICT), is known as SLE for ageing well (Alliance for Internet of Things Innovation (AIOTI), 2019).…”

Section: Introductionmentioning

confidence: 99%

Knowledge management visualisation in regional innovation system collaborative decision-making

Weck

Humala

Tamminen

et al. 2021

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PurposeThis study was developed in response to the need to develop age-friendly smart living environments due to the complex demands placed on society by the ageing of the population. This study aims to analyse the potential that knowledge visualisation offers collaborative decision-making applied to the development of a multiple criteria framework supporting knowledge management (KM) through knowledge collaboration (KC) and knowledge sharing (KS) in the context of regional innovation systems (RIS).Design/methodology/approachUsing a socio-technical approach, knowledgeable and experienced representatives of RIS innovation actors were brought together to develop a constructivist multiple criteria framework that integrates knowledge visualisation and collaborative decision-making techniques (i.e. cognitive mapping and system dynamics).FindingsThe study introduces a multiple criteria model supporting KM encompassing conditions and practices of RIS innovation actors facilitating and encouraging KC and KS. The potential for knowledge visualisation in collaborative decision-making is explored in great depth and illustrated in a case study setting.Practical implicationsThe panel members who participated in this study consider our methodological proposal to be extremely versatile and see great potential for further applications in RIS contexts.Originality/valueThe combined use of cognitive mapping and system dynamics according to the strategic options development and analysis (SODA) approach offers a holistic and well-informed perspective on the issue in question. The literature reports no prior work of this methodological combination in the same research context.

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Smart Specialisation: insights from the North American periphery

Cited by 10 publications

References 33 publications

Applying the ecosystem model in a new context? The case of business incubation in Oman

Applying the ecosystem model in a new context? The case of business incubation in Oman

Comparing innovation strategies: Canada's Ocean Supercluster and Europe's Smart Specialisation initiatives

Knowledge management visualisation in regional innovation system collaborative decision-making

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