Assessing the Origins, Evolution and Prospects of National Innovation Systems

López-Rubio, Pedro; Roig‐Tierno, Norat; Más‐Verdú, Francisco

doi:10.1007/s13132-020-00712-7

Cited by 28 publications

(17 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Tree of Science approach reveals that trending topics are built around five main pillars: democracy for knowledge production and innovation. The Quintuple Helix stresses the need for the socioecological transition of society and the economy to address major issues such as global warming (Carayannis et al, 2012;Campbell et al, 2015;López-Rubio et al, 2021b).…”

Section: Discussionmentioning

confidence: 99%

Which regions produce the most innovation policy research?

2021

Self Cite

View full text Add to dashboard Cite

This article uses the data indexed in the Web of Science Core Collection and Scopus databases up to and including the year 2020 to map leading regions and trending topics in academic innovation policy research.The country analysis highlights four leading regions in this research field: Western Europe (led by the UK, the Netherlands, Germany, and Spain), North America (led by the United States), Scandinavia (led by Sweden and Denmark), and Asia-Pacific (led by China and Australia). The most common keywords are used to develop a conceptual framework. Applying the Tree of Science approach, we classify the most influential studies into three categories: foundational studies (the roots), structural studies (the trunk), and recent studies (the leaves). This approach shows that trending topics are built around five main pillars: innovation systems, policy tools, knowledge management, sustainability, and entrepreneurship. Finally, based on analysis of the most common keywords and the most influential studies, we propose a Sextuple Helix model. This model consists of the Quintuple Helix (government, university, industry, knowledge society, and sustainability) with the added dimension of entrepreneurship. This model offers an analytical framework with massive potential for academic research on innovation policy in the current economic context.

show abstract

Section: Discussionmentioning

confidence: 99%

Which regions produce the most innovation policy research?

2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The concept of NIS emerged in the 1990s [37][38][39]. It considers systems, activities, institutions, and interactions as the driving force behind economic growth and development [1,40]. The strength of these factors explains cross-country differences in growth, development, and innovation.…”

Section: From Nis To Nacs: Comparative Analyses Of National Systems A...mentioning

confidence: 99%

Estimating a panel MSK dataset for comparative analyses of national absorptive capacity systems, economic growth, and development in low and middle income countries

Khan

2022

PLoS ONE

View full text Add to dashboard Cite

Within the national innovation system literature, the low- and middle-income countries (LMICs) eligible for the World Bank’s International Development Association (IDA) support, are rarely part of empirical discourses on growth, development, and innovation. One major issue hindering empirical analyses in LMICs is the lack of complete data availability. This work offers a new full panel dataset with no missing values for IDA-eligible LMICs. I use a standard, widely respected multiple imputation method (specifically, Predictive Mean Matching) developed by Rubin in the 1980s, which conforms to the structure of multivariate continuous panel data at the country level. The incomplete input data consisting of many variables come from publicly available established sources. These variables, in turn, capture six crucial country-level capacities: technological capacity, financial capacity, human capital capacity, infrastructural capacity, public policy capacity, and social capacity. Such capacities are part and parcel of the National Absorptive Capacity Systems (NACS). The dataset (MSK dataset) thus produced contains data on 47 variables for 82 LMICs between 2005 and 2019. The dataset has passed a quality and reliability check and can therefore be used for comparative analyses of national absorptive capacities and development, transition, and convergence among LMICs.

show abstract

“…In contemporary society, the discussion of knowledge concepts in organizations has focused on its strategic dimension, with authors discussing the transfer of knowledge between the units of a company (Williams & Pouder, 2019), while other theorists have focused on the flow of knowledge between a multinational company and its subsidiaries as well as in the national innovation system (Lundvall, Johnson, Andersen, & Dalum, 2002;L opez-Rubio, Roig-Tierno, & Mas-Verd u, 2021) and also those who studied the importance of knowledge transfer for innovation and competitiveness (Aguiar, Pereira, Donaire, & Nascimento, 2017;Bittencourt, Zen, & Pr evot, 2019).…”

Section: Theoretical Foundationmentioning

confidence: 99%

Knowledge transfer in technological innovation clusters

Fioravanti

Stocker

Macau

2021

INMR

View full text Add to dashboard Cite

PurposeThe aim of this research is to analyze the knowledge transfer process in technological innovation clusters. The problem of the study addresses how organizations can act in a network to enhance experiences and gains, particularly in the aspect of knowledge management.Design/methodology/approachThe study is qualitative, applied through a case study, cross-sectional and multiple sources of evidence – semistructured interviews, nonparticipant observation and analysis of documents and secondary institutional data. The case analyzed was the Technology Park of São José dos Campos, in Brazil, involving private companies, governmental organizations, universities and research institutions.FindingsThe results reinforce the arguments that the transfer of knowledge is influenced by factors, facilitators or inhibitors such as: cooperation, relationship with institutions, workforce mobility and geographical proximity, influencing the competitiveness and performance of the organizations in the cluster.Research limitations/implicationsThis study advances the knowledge management literature in network environments, especially in technological innovation clusters, systematizing and highlighting the facilitating and inhibiting dimensions of knowledge transfer.Practical implicationsThe present work has a direct dialogue with the managers and actors involved in the governance of these organizational arrangements with regard to increasing the capacity for creation and the dissemination of knowledge among organizations, educational institutions, government and companies.Originality/valueThere is a presence of aspects indicating that knowledge goes beyond borders through dynamic and collaborative structures, reinforcing the premise that clusters must be perceived as an evolutionary system, whose result of interactions leads to a superior joint capacity.

show abstract

Assessing the Origins, Evolution and Prospects of National Innovation Systems

Cited by 28 publications

References 70 publications

Which regions produce the most innovation policy research?

Which regions produce the most innovation policy research?

Estimating a panel MSK dataset for comparative analyses of national absorptive capacity systems, economic growth, and development in low and middle income countries

Knowledge transfer in technological innovation clusters

Contact Info

Product

Resources

About