Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment

D'Adda, D.; Iacobucci, Donato; Palloni, Roberto

doi:10.1111/pirs.12492

Cited by 25 publications

(18 citation statements)

References 34 publications

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“…The SS concept introduced at least two main novelties (D'Adda et al, 2020). The first is the emphasis on the 'entrepreneurial discovery process'.…”

Section: Literature Reviewmentioning

confidence: 99%

“…a Porter-like cluster strategy, but about diversified specialisation. Targeting technological domains instead of specific industries is expected to enhance product innovation and diversification by creating and implementing new technologies (Asheim, 2019;D'Adda et al, 2020;McCann and Ortega-Argilés, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Currently, the SS and RIS publications most often relate to the description of experience in implementation RIS3 in different countries and regions (e.g. Bosch and Vonortas, 2019), assessment of the implementation of RIS3 (D'Adda et al, 2020), as well as indicating opportunities and challenges arising in the process of implementing SS (e.g. Gianelle et al, 2019).…”

Section: Source: Own Elaborationmentioning

confidence: 99%

See 2 more Smart Citations

Mapping the Field of Smart Specialisation and Regional Innovation Strategy Literature – A Bibliometric Analysis

Janik¹,

Ryszko²,

Szafraniec³

2020

ERSJ

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Purpose: The purpose of the article was to determine and map the field of smart specialisation (SS) and regional innovation strategy (RIS) literature. Design/Methodology/Approach: The longitudinal bibliometric analysis of the SS and RIS literature based on extensive examination of publications indexed in the Scopus database was conducted. The timespan of the analysis covered the years 1991-2020. The quantity, quality and structural bibliometric indicators were applied. Using the VOSviewer software tool the network analyses were performed and major clusters of the SS and RIS research were determined. Findings: The conducted analysis made it possible to indicate the most productive authors, sources, organisations and countries in the analysed scientific field. The most popular research topics and subject areas, the most influential research channels and impact from authors, sources, countries in the SS and RIS literature were indicated. Moreover, it was recognised how the SS and RIS publications are clustered. Practical Implications: Determination of sources with the highest productivity and citations can be used by potential authors of publications to adopt an appropriate publication strategy. The information about the most active countries and organisations and the most influential authors may constitute the valuable basis for establishing future collaboration. The analysis results can also be useful for decision-makers in regions by indicating the most influential publications in terms of the SS and RIS development and implementation. Originality/Value: There is a paucity of research presenting the bibliometric analysis of the SS and RIS literature. This article comprises an up-to-date comprehensive analysis of this domain and enriches the understanding of its existing patterns and trends.

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“…The SS concept introduced at least two main novelties (D'Adda et al, 2020). The first is the emphasis on the 'entrepreneurial discovery process'.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Source: Own Elaborationmentioning

confidence: 99%

See 1 more Smart Citation

Mapping the Field of Smart Specialisation and Regional Innovation Strategy Literature – A Bibliometric Analysis

Janik¹,

Ryszko²,

Szafraniec³

2020

ERSJ

View full text Add to dashboard Cite

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“…Given the importance of the diffusion of the new technological paradigm on the future of countries and regions, the MASST4 model has been revised. The probability of a regional economy to go through a structural evolution in its innovation modes (Asheim 2012;Capello and Lenzi 2018;D'adda et al 2020) is now included in the model.…”

Section: Introductionmentioning

confidence: 99%

Merging macroeconomic and territorial determinants of regional growth: the MASST4 model

Capello

Caragliu

2020

Ann Reg Sci

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While prior econometric forecasting models focus on either macroeconomic or territorial aspects as drivers of regional growth, the fourth version of the MAcroeconomic, Sectoral, Social, Territorial (MASST4) model merges these two conceptual approaches to regional growth. Mechanisms of territorial complexity governing regional development theories, like agglomeration economies, or structural changes in innovation modes, are included into a formal model so that they simultaneously activate regional growth and mediate macroeconomic growth impacts. Moreover, a longer time series than in previous versions of the MASST model now allows to take account of the structural changes taking place in EU economies as a consequence of the recent crisis. The model now also models the effects of the decrease in EU integration stemming from populistic waves in politics taking place in EU countries. The paper also presents an application of the MASST model to a reference scenario.

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“…The main challenge is transforming investment in research and development into products and services that create value for the wine industry (Jackson 2011, Willcock et al 2017, Amonarriz et al 2019). Considering this challenge, which is related to the growing competition between wine producers and the search for consumer satisfaction, differentiation tools should be identified, in order to generate innovation in companies and industries, to develop new strategies and also to invest in the correct use of innovation to find opportunities in new niche markets, whether in processes, products, or strategically in the ecosystem (Cui et al 2018, D'Adda et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Inside of an innovation ecosystem: evidence from the Brazilian wine sector

Marques

Lermen

Gularte

et al. 2020

Australian Journal of Grape and Wine Research

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Background and Aims: Some studies bring different visions of innovation among the stakeholders of the wine sector; however, there is a gap in our understanding of the characteristics of and the relationship between the ecosystem and the stakeholders. This study aims to identify and measure critical success factors (CSFs) of the wine innovation ecosystem. Methods and Results: A mixed-method approach with 29 qualitative questionnaires for wine managers, and a survey of 138 wine managers from Brazilian wine regions were employed. The survey validated 30 critical factors that were identified from the literature and which were validated in the qualitative research. The critical factors were then submitted to a support factorial analysis, resulting in 27 CSFs related to six new dimensions of the wine ecosystem. The dimensions identified by the factorial analysis were evaluated by indicators and measured for four clusters of companies. Conclusions: The study identified the dimensions and CSFs related to four Brazilian winery clusters: (i) medium businessbusinesses focused on social and economic entrepreneurship; (ii) large business-focused on entrepreneurship and leadership in the development of sustainable products and services; (iii) startup-expanding businesses focused on economic growth; and (iv) small business-focused on entrepreneurship and innovation for a sustainable economy. Significance of the Study: This study demonstrated the benefit of using dimensions and CSFs to create innovative strategies to improve the competitiveness and performance of the wine ecosystem.

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Relatedness in the implementation of Smart Specialisation Strategy: a first empirical assessment

Cited by 25 publications

References 34 publications

Mapping the Field of Smart Specialisation and Regional Innovation Strategy Literature – A Bibliometric Analysis

Mapping the Field of Smart Specialisation and Regional Innovation Strategy Literature – A Bibliometric Analysis

Merging macroeconomic and territorial determinants of regional growth: the MASST4 model

Inside of an innovation ecosystem: evidence from the Brazilian wine sector

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