Tracking the internationalization of multinational corporate inventive activity: national and sectoral characteristics

Alkemade, Floortje; Heimeriks, Gaston; Schoen, Antoine; Villard, Lionel; Laurens, Patricia

doi:10.1016/j.respol.2015.01.007

Cited by 34 publications

(26 citation statements)

References 42 publications

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“…We followed HH in using available macro-level statistics. The attribution of patent classes or product groups to countries, however, requires careful elaboration (Alkemade et al, 2015). When a country produces a product it may possess the corresponding technology, but the technology can also be outsourced.…”

Section: Discussionmentioning

confidence: 99%

“…Patents have been considered as a measure of innovative activity in the innovation studies literature (e.g., Arcs & Audretsch, 2002), although patents are indicators of invention, not innovation. However, it is less problematic to consider patents as indicators of the dynamics of technological knowledge (Alkemade et al, 2015;Verspagen, 2007). Patents can also be strategic (Blind et al, 2006;Hall & Ziedonis, 2001;cf.…”

Section: Introductionmentioning

confidence: 99%

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Economic and technological complexity: A model study of indicators of knowledge-based innovation systems

Ivanova

Strand²,

Kushnir

et al. 2017

Technological Forecasting and Social Change

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The Economic Complexity Index (ECI; Hidalgo & Hausmann, 2009) measures the complexity of national economies in terms of product groups. Analogously to ECI, a Patent Complexity Index (PatCI) can be developed on the basis of a matrix of nations versus patent classes. Using linear algebra, the three dimensions-countries, product groups, and patent classes-can be combined into a measure of "Triple Helix" complexity (THCI) including the trilateral interaction terms between knowledge production, wealth generation, and (national) control. THCI can be expected to capture the extent of systems integration between the global dynamics of markets (ECI) and technologies (PatCI) in each national system of innovation. We measure ECI, PatCI, and THCI during the period 2000-2014 for the 34 OECD member states, the BRICS countries, and a group of emerging and affiliated economies (Argentina, Hong Kong, Indonesia, Malaysia, Romania, and Singapore). The three complexity indicators are correlated between themselves; but the correlations with GDP per capita are virtually absent. Of the world's major economies, Japan scores highest on all three indicators, while China has been increasingly successful in combining economic and technological complexity. We could not reproduce the correlation between ECI and average income that has been central to the argument about the fruitfulness of the economic complexity approach.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Economic and technological complexity: A model study of indicators of knowledge-based innovation systems

Ivanova

Strand²,

Kushnir

et al. 2017

Technological Forecasting and Social Change

View full text Add to dashboard Cite

show abstract

“…Patents are analytically independent from products since they are indicators of invention and not innovation. One can consider patents to be a proxy of technological knowledge and the technological knowledge base can hence be measured in terms of patent portfolios [1,51]. The manufacturing capabilities of a country can be expected to largely overlap with its technological knowledge base [14,19,20,36].…”

Section: Operationalizationmentioning

confidence: 99%

An Eco-Systems Approach to Constructing Economic Complexity Measures: Endogenization of the Technological Dimension Using Lotka–volterra Equations

Ivanova

Strand

Leydesdorff

2019

Advs. Complex Syst.

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Economic complexity measures have been constructed on the basis of bipartite country-product network data, but without paying attention to the technological dimension or manufacturing capabilities. In this study, we submit a Ternary Complexity Index (TCI), which explicitly incorporates technological knowledge as a third dimension, measured in terms of patents. Different from a complexity indicator based on the Triple Helix model (THCI) or a measure based on patents and countries (PatCI), TCI — products, countries, and patents — can be modeled in terms of Lotka–Volterra equations and thus the further evolution of an innovation eco-system can be specified. We test the model using empirical data. The results of a regression analysis show that TCI improves on Hidalgo and Hausmann’s [The building blocks of economic complexity, Proc. Natl. Acad. Sci. 106 (26) (2009) 10570–10575] and Tacchella et al.’s [A new metrics for countries fitness and products complexity, Sci. Rep. 2 (2012)] complexity measures with respect to both the ranking of countries in terms of their complexity and in terms of the correlation with GDP per capita.

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“…Even literature has discussed how large firms implement open innovation (Alkemade, Heimeriks, Schoen, Villard, & Laurens, 2015;Brunswicker & Chesbrough, 2018;H. Chesbrough & Brunswicker, 2014), the underlying concept or theory that assist the understanding of open innovation process especially in large firms still little (Brunswicker & Chesbrough, 2018).…”

Section: Introductionmentioning

confidence: 99%

Understanding Open Innovation in Large Firms: A Co-citation Bibliometric Analysis

Noviaristanti¹

2019

Proceedings of the 2nd Padang International Conference on Education, Economics, Business and Accounting (PICEEBA-2 2018)

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The open innovation has received increased attention from the academic and practitioner community as a result of more collaborative approaches to innovation together with rapid advances in the application of internet technologies in support of innovation activities. There have been significant developments in this field since 2003 first time Chesbrough coined open innovation term and so the aim of this paper is to review the extant research to explore open innovation in large firm and map the current knowledge. The review has been conducted using co-citation analysis. This is the first time that a quantitative review method has been used to analysis this research area and it provides an opportunity to bring new insights to complement previous qualitative reviews. This paper makes a contribution to understand the key points of open innovation and the implementation in large firm.

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Tracking the internationalization of multinational corporate inventive activity: national and sectoral characteristics

Cited by 34 publications

References 42 publications

Economic and technological complexity: A model study of indicators of knowledge-based innovation systems

Economic and technological complexity: A model study of indicators of knowledge-based innovation systems

An Eco-Systems Approach to Constructing Economic Complexity Measures: Endogenization of the Technological Dimension Using Lotka–volterra Equations

Understanding Open Innovation in Large Firms: A Co-citation Bibliometric Analysis

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