Functions of innovation systems: A new approach for analysing technological change

The central idea of this paper is that innovation systems are a very important determinant of technological change. We describe that the emergence of a new innovation system and changes in existing innovation systems co-evolve with the process of technological change. Therefore, it is necessary to create more insight in the dynamics of innovation systems. Traditional methods of innovation system analysis that mainly focus on the structure of innovation systems have proven to be insufficient. Therefore, we propose a framework that focuses on a number of processes that are highly important for well performing innovation systems. These processes are labeled as ‘functions of innovation systems’. After explaining this framework and embedding it in existing literature, we propose a method for systematically mapping those processes taking place in innovation systems and resulting in technological change. This method can be characterized as a process analysis or history event analysis. Clarifying examples are taken from the empirical field of Sustainable Technology Development.     

The relationship between innovation network and innovation capability: a social network perspective

The key for acquiring innovation capability is knowledge transmission which is primarily based on the closer and tighter connections among businesses and other actors within innovation networks. Previous literature of patent analysis based on social network only explains the most influential corporations within an industry through social network indicators, but did not investigate the impact of these indicators on a firm’s innovation capability. This study uses social network perspective ‘centrality, cohesion and density’ to investigate the relationship between innovation network and innovation capability in the global semiconductor industry. Two purposes of this study are: (1) to investigate the innovation network relationship within the semiconductor industry at different periods and its evolution and (2) to study whether network position occupied by a firm in innovation network influences innovation capability. The empirical results show that firms with higher centrality and higher density have stronger innovation capability, but the weaker innovation capability with closer connection of sub-cluster (cohesion).     

The dynamics of technological partners: a social network perspective

The selection and establishment of research partners is increasingly important in innovation and strategic research. Using a panel dataset of patents by 2846 researchers from a large US biotechnology company between 1976 and 2013, we examined the relationships between spanning structural holes and partner dynamics, which are captured by the entry of new partners and the persistence of existing partners. Then, we tested the possible moderating effect of dynamic exploratory ability. Based on the results of negative binomial regression models with fixed effects in the longitudinal design, we found that spanning structural holes was negatively associated with the entry of new partners and positively associated with the persistence of existing partners. Furthermore, exploratory ability positively moderated these relationships. Aside from having managerial implications for innovators, the findings of our interdisciplinary study are relevant for research on partner dynamics, strategy research, and exploration processes.     

International diffusion of embodied and disembodied technology: A network analysis approach

This study proposes a quantitative method for investigating the structure of international technology diffusion. By using network analysis, this study defines the structural configuration of each country within the international diffusion network by measuring its degree, closeness, and betweenness centralities. In addition, this study distinguishes between embodied technology diffusion, measured by multilateral trade, and disembodied technology diffusion, measured by patent citations, in individual countries. This study empirically tests a sample data set of international technology diffusion taken from 48 countries. The empirical results show that the structural configuration of countries exhibits similar patterns in both embodied and disembodied diffusion networks. Significant global stratification patterns exist in the capability of national international technology exportation and brokerage advantages. Moreover, this study distinguishes four blocks of countries that play different roles in international technology diffusion: the leading countries provide a source of technological knowledge; an intermediate group diffuses the knowledge acquired from the source; a third group is in the process of initiating the export of technological knowledge; and a final group of countries absorbs technological knowledge without reciprocal exportation. Finally, this study identifies two types of catch-up strategies that newly industrialized or developing countries can use to move up the international technology stratification.     

Firm persistence in technological innovation: the relevance of organizational innovation

Organizational innovation favors technological innovation, but does it also influence persistence in technological innovation? This paper empirically investigates the pattern of technological innovation persistence and tests the potential impact of organizational innovation using firm-level data from three waves of French Community Innovation Surveys. The evidence indicates a positive effect of organizational innovation on persistence in technological innovation, according to the various measures of organizational innovation. Moreover, this impact is more significant for complex innovators, i.e. those who innovate in both products and processes. The results highlight the complexity of managing organizational practices with regard to the technological innovation of firms. They also add to understanding of the drivers of innovation persistence through the focus on an often forgotten dimension of innovation in a broader sense.     

Patterns of innovation diffusion and technological competition in Portuguese manufacturing and service industries

This article uses data from the Portuguese Community Innovation Survey (CIS III) to analyse the inter‐industry heterogeneity in the diffusion of innovations and level of technological competition in Portuguese manufacturing and service industries. The industries are classified with reference to the relationship between the level of participation in innovation and the strategies of innovative firms. Methods of multivariate statistics are used to synthesize the data and to group the observations into subsets. Four distinctive innovation patterns are identified, defined along the following dimensions: output‐orientation of innovation, importance of disembodied innovation, role of technologically advanced innovation and level of innovation opportunities. It is also found that high levels of technological competition tend to occur in sectors with relatively low dimension, productivity and overall investment.     

A note on the diffusion of innovation

The paper deals with the process of substitution between technologies in a framework of increasing returns to scale. The approach stresses the interaction between capacity expansion and market demand as explanations of the diffusion of technologies into their niches. The demand and supply sides of the diffusion process are therefore brought together to determine simultaneously patterns of output and prices.It analyzes the dynamics of the substitution path, where a logistic diffusion process for the new technology is assumed, and determines the substitution curve between the old technology and the new one.     

Managing technological and social uncertainties of innovation: The evolution of Brazilian energy and agriculture

This paper explores how technological, commercial and social uncertainties shaped the development of Brazilian biofuels. Technological innovation allowed the country to emerge as a global leader, but Brazil continues to struggle with major social uncertainties due to poverty and environmental concerns common in many emerging economies. Contemporary approaches to development within the innovation literature focus primarily on overcoming technological and commercial uncertainties, but only peripherally explore social uncertainties. To fill this void, we draw on Martin and Hall's framework for managing innovative uncertainties, which is based on Kuhn and Popper's approaches to the evolution and methodology of science, and extend it with Aldrich and Fiol's concept of cognitive versus socio-political legitimacy. Based on qualitative data collected in Brazil, we outline the evolution of automotive fuel ethanol and flex-fuel technology, the development of Brazilian soybean production, and castor for socially inclusive biodiesel production. We show how innovation solved some technological and commercial uncertainties and generated new opportunities, but also created additional social uncertainties that are now being addressed. Through this process, Brazil has acquired capabilities in alternative energy technologies and more sustainable agriculture, becoming an exemplar for other emerging economies. We conclude with implications for policy and industry.     

The dynamic evolution and technological diffusion in Taiwan's TFT-LCD industrial cluster: a network perspective

Industrial clusters evolve dynamically as the external environment changes. To better understand the nature of cluster evolution, which has nurtured economic growth in early 2000s, strategy and organisation scholars have attempted to unpack contributors to cluster evolution from the perspective of the ‘environmental uncertainty’ and ‘resource abundance’ effects. The paper adopts and extend an earlier extant model through empirical testing of the thin-film transistor liquid crystal display (TFT-LCD) industrial cluster in Taiwan, a developing country. This study modifies the extant network model by adding a diffusion of technological innovation index to cluster evolving. Using the extended case study, the study examines the dynamic evolutionary process in the TFT-LCD industrial cluster. It was found that the evolution of the TFT-LCD industrial cluster resembles the theoretical argument in some respects. The characteristics of network change are modified according to these results. Implication for policymakers and decision-makers of developing countries are also discussed.     

Networks and network resources in technological innovation systems: Towards a conceptual framework for system building

Previous research has shown that formal networks can play a crucial role in the formation of technological innovation systems (TIS). Firms and other actors collaborate in formal networks not only to generate new knowledge but also to strategically create and shape supportive system resources such as technology specific R&D programs. This paper takes a closer look at the resources, which are developed and deployed by networks to facilitate the building up of a TIS. Networks rely not only on the organizational resources of their members but also on new resources developed at the network level including network governance structures, trust among network members, a common understanding of the strategic goals or a good reputation of the network. Our analysis shows that the capacity of networks to fulfill different tasks of system building especially depends on the network resources they are able to establish. With the differentiation of organizational, network and system resources we introduce a conceptual framework, which makes three important contributions. It highlights the strategic nature of (innovation) system building; it allows us comparing the contribution of different actors and formal networks in this regard; and it improves our understanding of how firm and system level processes are intertwined.     

Analysis of open innovation communities from the perspective of social network analysis

Open innovation is an emergent paradigm by which organisations make use of their internal and external resources to perform their innovation processes. The growth of information and communication technologies has facilitated the spread of online open innovation communities, where users can share ideas as well as comment on and evaluate ideas posted by other community members. In this work, the behaviour of community members is analysed from the perspective of social network analysis. The final aim is twofold: first, to measure to what extent the different forms of participation are correlated to each other; and, second, how the collective intelligence evaluation schemes can be useful to identify those users posting ideas which are potentially applicable for the organisation. Obtained results can help community managers and organisations to improve the efficiency of the evaluation process when hundreds or thousands of ideas are shared through the online community.     

Beyond national and technological styles of innovation diffusion: a dynamic perspective on cases from the energy and transport sectors

This article argues that styles of innovation diffusion dynamics depend on both national and niche-specific factors and that their respective influence changes during the innovation diffusion process. Based on a review of approaches, dealing on the one hand with differences in national innovation and technology systems and on the other with process of niche formation and development, a theoretical synthesis and pattern of analysis is suggested for interpreting and comparing empirical findings from two different technology examples. The analysis of combined heat and power (CHP) in Germany, UK and the Netherlands, and of electric vehicles in Germany, Sweden and France allows us to identify different styles of innovation diffusion dynamics. These styles are determined by the relative importance of national and niche-specific factors in different phases of the process of technological change. Support in lent to the hypothesis that a style which combines impulses for innovation at both structural and niche is particularly conducive to radical change.     

Beyond national and technological styles of innovation diffusion: a dynamic perspective on cases from the energy and transport sectors

This article argues that styles of innovation diffusion dynamics depend on both national and niche-specific factors and that their respective influence changes during the innovation diffusion process. Based on a review of approaches, dealing on the one hand with differences in national innovation and technology systems and on the other with process of niche formation and development, a theoretical synthesis and pattern of analysis is suggested for interpreting and comparing empirical findings from two different technology examples. The analysis of combined heat and power (CHP) in Germany, UK and the Netherlands, and of electric vehicles in Germany, Sweden and France allows us to identify different styles of innovation diffusion dynamics. These styles are determined by the relative importance of national and niche-specific factors in different phases of the process of technological change. Support in lent to the hypothesis that a style which combines impulses for innovation at both structural and niche is particularly conducive to radical change.     

The architecture of R&D joint projects: the social network analysis approach

This paper examines the effect of network properties on the performance R&D joint projects. In particular, we examine the impact of network cohesion, diversity and shape on the performance of these of exploration and exploitation R&D projects. We test these measures using data on projects from European R&D networks developed under the framework of Eureka projects. The empirical results indicated some network properties enhance the project’s performance and these differ depending on the kind of technological project developed. Our results suggest a lower heterogeneity, greater cohesion and network centralisation in exploitation than in exploration projects. Our findings show different types of structures depending on the aim of the joint project and that there exist different degrees of cohesion between the partners that comprise the core and the peripheral nodes.     

技术创新的催化剂:差异化战略——动态网络能力与数字化转型桥梁与变革机制

在中国式现代化的背景下,如何发挥科技创新作为现代化的核心动力成为关键议题。本文以2011—2021年我国上市公司为研究对象,深入探讨并分析差异化战略在技术创新中的作用机制。结果发现,企业差异化战略的强度与技术创新成果之间存在显著正向关联,这种影响主要通过动态网络能力的构建与数字化转型机制的引入而实现。此外,环境的不确定性对差异化战略影响企业技术创新产生负向调节作用。拓展研究发现,差异化战略在提升企业创新质量方面的效果较为有限,尤其是在优质专利指数等创新质量评价标准上的提升表现相对减弱。研究结论为优化动态网络能力、深化数字化转型、克服技术障碍,以实现符合中国式现代化要求的目标提供了实质性的理论支撑和指导。     

A non-homogeneous non-uniform influence model of innovation diffusion

A model of innovation diffusion which gives unequal weightage to the adopters of different temporal stages and captures commonly observed ups and downs in new product diffusion is proposed. It is shown that our model possesses features of the existing flexible diffusion models and shows better fit which is indicated by the values of R²_adj, mean absolute deviation, and mean percentage error and estimates a larger market potential, M. It has an interesting feature of conversion factors, first increasing then vanishing, much before we approach market saturation, implying that there is a scope of new thrust in converting remaining potential adopters.     

A stochastic cellular automata model of innovation diffusion

A stochastic cellular automata model of new product diffusion is proposed. It is found that the growth for a given market potential can be determined by a parameter that quantifies chance preferences of individuals for the product and can be estimated from field surveys. It is also found that the “takeover time” in a given seed region is almost independent of the number of innovators. The results suggest possible strategies for the successful introduction of a new product.