Smart Specialisation strategies on the periphery: a data-triangulation approach to governance issues and practices

Ghinoi, Stefano; Steiner, Bodo; Makkonen, Teemu; Hassink, Robert

doi:10.1080/00343404.2020.1791321

Cited by 19 publications

(13 citation statements)

References 48 publications

(100 reference statements)

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“…The study of Ghinoi et al ( 2021 ) uses mixed methods in order to analyze the use of smart specialization strategy (RIS3) in Lapland region, Finland and propose alternatives for its effective implementation. The study uses triangulation of quantitative and qualitative data aiming to reduce limitations and enforce verification.…”

Section: Benefits Of This Mixed Methodsmentioning

confidence: 99%

Mixed research methods in political science and governance: approaches and applications

Tzagkarakis

Kritas

2022

Qual Quant

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It is widely accepted that an appropriate combination of quantitative and qualitative methods provides a better understanding of research problems as opposed to using them separately. This mixed approach is trying to cover any gaps and weaknesses between the quantitative and qualitative research. Furthermore, triangulation is a common way to combine quantitative and qualitative approaches, which has been used in numerous studies in order to detect different aspects of the research question as well as because the deficiencies of one method are often the forces of the other. The use of multiple methods reflects an attempt to understand and study the phenomenon under in depth investigation, while triangulation is not as much a results-validation strategy, but more of an alternative proposal for validation, through which the breadth, depth and consistency of the methodological processes is increased. There are different types of triangulation, but a mainstream process may include but is not limited at: (a) data triangulation, (b) investigator triangulation, and (c) methodological triangulation, in the version of triangulation of methods belonging to different paradigms. This paper will study and analyze the importance of mixed methods in political science and especially in governance and public policy research by focusing on specific examples of related research and outcomes. The main reason is to assess the importance of mixed methods in achieving better understanding of the social problems and transitions in the post-covid-19 era and thus shed light in contemporary issues related to governance and public policies.

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Section: Benefits Of This Mixed Methodsmentioning

confidence: 99%

Mixed research methods in political science and governance: approaches and applications

Tzagkarakis

Kritas

2022

Qual Quant

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“…Third, how Smart Specialization provides crucial lessons for regions in realizing better regional innovation systems and policies (RIS and RIS3). Furthermore, Ghinoi et al (2021) recently applied a mixed method in analyzing the implementation of S3 in peripheral regions with a data triangulation approach, namely by reviewing the RIS3 document belonging to the Lapland region (Finland), followed by in-depth interviews with stakeholders active in the formulation of RIS3, and finally circulating an online survey to obtain more complete data from stakeholders in the region.…”

Section: Diversity In Research Design and Methodologymentioning

confidence: 99%

Smart Specialisation in less-developed regions of the European Union

Wibisono

2022

REGION

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This paper reviews the literature on Smart Specialization implementation in less developed regions of the European Union (EU). Using a systematic literature review research protocol, I critically explore the content of selected relevant papers, examine the challenges in the Smart Specialization implementation in less developed regions of the EU, and raise critical factors that could potentially enhance the success of its implementation. The first finding of this study shows that research on related topics published in leading journals has increased significantly in recent years. Furthermore, as an essential contribution, I categorize the selected papers according to diversity in research design and methodology. Finally, I summarise three key issues of Smart Specialization implementation in less developed regions of the EU: RIS capacity and governance, local and extra-regional collaboration, and regional administrative and financial governance.

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“…In the context of innovation, KS is the exchange of expertise that seeks to create or improve products and services of value (Castaneda and Cuellar, 2020), and is also defined as the ability to recognise the value of new information, assimilate it, and apply it for commercial ends (Cohen and Levinthal, 1990;Ghinoi et al, 2021). Sharing knowledge across organisational boundaries can be especially problematic: the more novelty knowledge includes, the more challenges can be found in sharing it (Nonaka and Takeuchi, 1995;Tyre and von Hippel, 1997).…”

Section: Related Literaturementioning

confidence: 99%

“…and a wide range of technical, managerial and social skills and cultural contexts (Cooke, 2005), and it resides "in the minds of knowers" as "a fluid mix of framed experiences, values, contextual information, and expert insight that provides a framework for evaluating and incorporating new experiences and information" (Davenport and Prusak, 1998, p. 5). It originates from knowledge creation as a result of research and development (R&D) efforts in firms, research laboratories and universities, and interactive processes and flows between actors inside a RIS, as well as from sources outside the region (Karlsson and Johansson, 2006;Ghinoi et al, 2021). These collaborative interactions imply regional actors' KS capacity, which makes it a most important resource for regional innovation performance.…”

Section: Related Literaturementioning

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 strategies on the periphery: a data-triangulation approach to governance issues and practices

Cited by 19 publications

References 48 publications

Mixed research methods in political science and governance: approaches and applications

Mixed research methods in political science and governance: approaches and applications

Smart Specialisation in less-developed regions of the European Union

Knowledge management visualisation in regional innovation system collaborative decision-making

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