Table 2 - uploaded by Marion Frenz
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The paper explores micro-level innovation survey data and examines the role – vis-à-vis traditional forms of science and technology related activities – which organisational and managerial changes, qualified staff and network capabilities play in determining business performance and the functioning of national systems of innovation. It follows a tw...
Contexts in source publication
Context 1
... first estimations reported in Table 2 are based on the UKIS2005: productivity refers to 2004 and modes of innovation are based on variables that refer to the period 2002 to 2004. The descriptive and correlation statistics are in Appendix B, Table B.1. ...
Context 2
... Table 2 here --------------- Out of the four mixed modes of innovation, three -IPR/in-house innovating, process modernising and wider innovating -are statistically significantly associated with productivity. 2 IPR/in-house innovating has the largest coefficient (b=0.105; ...
Context 3
... Table 3 here ----------------The coefficients for IPR/in-house innovating and wider innovating are positive and statistically significant at the 1% and 10% level respectively. The size of the coefficient for IPR/in-house innovating is almost the same as in Table 2; the coefficient for wider innovating is smaller, while the coefficient for process modernising is almost zero and insignificant. Table 3 does not support a time lag of two years between the innovation modes and productivity, as this degree of lag does not increase the explanatory power of the equations. ...
Context 4
... now turn to Table 4 which reports and compares the results on turnover and value added per capita, while at the same time controlling for capital expenditures, which was not possible in Tables 2 and 3 as the innovation surveys do not contain the relevant information. Instead this variable is taken from the ABI. ...
Context 5
... interesting pattern emerges with respect to process modernising and wider innovating. The former is positively and significantly related to turnover per employees (as in Table 2) but not to value added per head; while in the case of the latter the reverse is true. Wider innovating is not significantly associated with turnover per employees (albeit very close to the size of the coefficient for process modernising), but with value added per employee. ...
Context 6
... expenditure is relevant in both equations -turnover and value added per employee, and the results of the remaining control variables are highly similar to those previously reported in Tables 2 and 3. ...
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... formální a neformální externí zdroje znalostí (Hollenstein 2018). Někteří výzkumníci vycházejí z pěti nebo šesti těchto podskupin ukazatelů (Tiri a kol., 2006;Frenz a Lambert, 2009;Srholec a Verspagen, 2012; Wziatek-Kubiak a kol., 2013; Sanchez, 2014) zatímco jiní autoři používají pouze tři nebo čtyři z nich (Cesaratto a Mangano, 1993;Hollenstein, 2003;de Jong a Marsili, 2006;Leiponen a Drejer, 2007). ...
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... A few impactful research projects constructed taxonomies using the data from multiple countries and revealed the distributions of different innovation strategies across sectoral, geographical, and temporal contexts. Comprehensive effort enabled by the OECD (Frenz and Lambert 2009;Lambert and Frenz 2012;OECD 2009) helped to emphasize core observations important for innovation capabilities' identification and measurement: ...
This book synthesizes and interprets existing knowledge on technology upgrading failures as well as lessons from successes and failures in order to better understand the challenges of technology upgrading in emerging economies. The objective is to bring together in one volume diverse evidence regarding three major dimensions of technology upgrading: paths of technology upgrading, structural changes in the nature of technology upgrading, and the issues of technology transfer and technology upgrading. The knowledge of these three dimensions is being synthesized at the firm, sector, and macro levels across different countries and world macro-regions. Compared to the old and new challenges and uncertainties facing emerging economies, our understanding of the technology upgrading is sparse, unsystematic, and scattered. While our understanding of these issues from the 1980s and 1990s is relatively more systematized, the changes that took place during the globalization and proliferation of GVCs, the effects of the post-2008 events, and the effects of the current COVID-19 and geopolitical struggles on technology upgrading have not been explored and compared synthetically. Moreover, the recent growth slowdown in many emerging economies, often known as a middle-income trap, has reinforced the importance of understanding the technology upgrading challenges of catching-up economies. We believe that the time is ripe for “taking stock of the area” in order to systematize and evaluate the existing knowledge on processes of technology upgrading of emerging economies at the firm, sector, and international levels and to make further inroads in research on this issue. This volume aims to significantly contribute towards this end.
... They used Pavitt's taxonomy to control for the sectoral specifics impact on factor importance, illustrating statistically significant discrepancies of determinants of innovation within Pavitt's sectors in Latin America. Large-scale projects searching for typical patterns of innovation behavior are introduced by the OECD think tank (Frenz and Lambert, 2009;Frenz, 2012, 2008). One of the key peculiarities is overcoming the country isolation of the typological exercises. ...
This study explores the potential of the innovation modes, a firm-level taxonomy of innovation behavior, to provide a reasonable treatment for the growing complexity and multidimensionality of company strategies, incentives, and demands. The data on the Russian manufacturing enterprises from two complementary surveys are used to estimate broader features of the firms pursuing particular innovation modes, including the intensity, efficiency, and impact of innovation activities, the importance of factors, hampering the performance and the heterogeneity of demand for the policy support measures. Resulting composition of the firm-level patterns and characteristics brings new facilities for the diagnosis-based policy-making in the field of innovation.
... Recent OECD efforts focused on the identification of specific modes of innovation behavior in the cross-country context (Frenz and Lambert, 2009;Lambert and Frenz, 2012;OECD, 2009). ...
This article explores the potential of firm-level taxonomies of innovation behavior for analysis of structural changes within national innovation systems. Dynamic allocation of the heterogeneous types of actors is considered as a bridge between the discussion on institutional change and studies of the persistence of innovation at the firm level. Seven innovation taxonomies are constructed on the firm-level data on Russian industry, 2002–2012. Derived meso-level trends prove the robustness of the firm-level innovation modes over time and their capability of capturing the bounded change. For the case of the Russian Federation, the analysis emphasizes the absence of systemic change in the innovation-related incentives and reward mechanisms, but also the learning processes at the firm level, particularly, growing sophistication of the networking.
... Their analysis shows that, while sectors and countries matter to a certain extent, the larger share of variance in terms of innovation strategies has to be related to the heterogeneity within both sectors and countries. Finally, in a recent study based on the UK data, Frenz and Lambert (2009a) using micro-level innovation survey data concerning innovation find that productivity measured by value added per capita is influenced more strongly by non-technological innovation modes, whereas output per capita is relatively more strongly and significantly related to product, process and technology based innovation. ...
... The relationship between patterns of innovation and economic performance of firms has been one of the lines of research addressed by this literature (see for example Cainelli et al., 2006;Jensen et al., 2007;Frenz and Lambert, 2009a). This section explores the relationship between the identified innovation modes and the economic performance of firms. ...
Purpose
The purpose of this article is to contribute to the empirical literature, which investigates innovation modes, by exploring the role of design as a source of innovation.
Design‐methodology/approach
The empirical analysis is carried out at the firm‐level, on the ground of a recent survey covering more than 5,000 European firms. A factor analysis is carried out first, followed by a cluster analysis based on identified factors in order to ensure a significant number of homogeneous groups of firms.
Findings
The paper finds that: design and R&D are complementary sources of innovation; design is predominant in firms characterized by a complex innovation strategy and intense interactions with the external environment; and these types of firms also show better economic performance.
Social implications
Policies should recognize the importance of design‐based competences, as they differ from those related to R&D activities.
Originality/value
To date, in this empirical research, R&D activity is regarded as the major internal source of knowledge, as well as a fundamental driver of firms' competitiveness. This paper's results show how design enters in this framework and suggests future research directions.
... Their analysis shows that while sectors and countries matter to a certain extent, the larger share of variance in terms of innovation strategies, has to be related to the heterogeneity within both sectors and countries. Finally, in a recent study based on the UK data, Frenz and Lambert (2009) using micro-level innovation survey data concerning innovation find that productivity measured by value added per capita is influenced more strongly by non-technological innovation modes, whereas output per capita is relatively more strongly and significantly related to product, process and technology based innovation. ...
... this section the variables discussed above are used to carry out a factor analysis (see Table A2 in the appendix for descriptive statistics). In line with the previous empirical studies using categorical variables (see for example Frenz and Lambert, 2009), a principal component analysis is carried out based on the tetrachoric correlation matrix between the variables. Table 4 ...
... The relationship between patterns of innovation and economic performance of firms has been one of the line of research addressed by this literature (see for example Cainelli et al., 2006; Jensen et al., 2007; Frenz and Lambert, 2009). This section explores the relationship between the identified innovation modes and the economic performance of firms. ...
The empirical literature investigating the issue of the heterogeneity across firms has proposed the concept of innovation modes. This aims at grouping firms depending on a number of innovation characteristics. The role of design as a source of innovation has been largely disregarded. The aim of this paper is to fill this gap as it i. seeks to identify the main characteristics of firms which rely on design for their innovations; ii. aims to bring the role of design within the framework provided by the literature on the innovation modes of firms. Design activity is predominant in firms characterized by: i. complex innovation strategy, and ii. intense interaction with the external environment. Investment in design it is associated with higher performance of the firm.
... A few impactful research projects constructed taxonomies using the data from multiple countries and revealed the distributions of different innovation strategies across sectoral, geographical, and temporal contexts. Comprehensive effort enabled by the OECD (Frenz and Lambert 2009;Lambert and Frenz 2012;OECD 2009) helped to emphasize core observations important for innovation capabilities' identification and measurement: ...
This book synthesizes and interprets existing knowledge on technology upgrading failures as well as lessons from successes and failures in order to better understand the challenges of technology upgrading in emerging economies. The objective is to bring together in one volume diverse evidence regarding three major dimensions of technology upgrading: paths of technology upgrading, structural changes in the nature of technology upgrading, and the issues of technology transfer and technology upgrading. The knowledge of these three dimensions is being synthesized at the firm, sector, and macro levels across different countries and world macro-regions. Compared to the old and new challenges and uncertainties facing emerging economies, our understanding of the technology upgrading is sparse, unsystematic, and scattered. While our understanding of these issues from the 1980s and 1990s is relatively more systematized, the changes that took place during the globalization and proliferation of GVCs, the effects of the post-2008 events, and the effects of the current COVID-19 and geopolitical struggles on technology upgrading have not been explored and compared synthetically. Moreover, the recent growth slowdown in many emerging economies, often known as a middle-income trap, has reinforced the importance of understanding the technology upgrading challenges of catching-up economies. We believe that the time is ripe for “taking stock of the area” in order to systematize and evaluate the existing knowledge on processes of technology upgrading of emerging economies at the firm, sector, and international levels and to make further inroads in research on this issue. This volume aims to significantly contribute towards this end.
