Persistence of product innovation: comparing breakthrough and incremental product innovation

In this paper we examine whether and to what extent breakthrough and incremental product innovation is persistent at the firm level. Drawing on a panel database created from the Community Innovation Survey (CIS) we find that lagged breakthrough product innovation ‘new to the market’, has a significant and positive influence on firms’ ability to develop current breakthrough innovation, while this is not the case for incremental-product innovation ‘only new to the firm’. Our findings show that the dynamics of innovation persistence differ across types of (product) innovations.     

How process improvement efforts can drive organisational innovativeness

In this study, we draw upon literature in technology and innovation management to theorise about how process improvement efforts in organisations can drive the exploratory activity that is generally associated with more radical forms of innovation. We develop a set of propositions on how process improvement efforts might directly and indirectly drive exploration and more radical forms of organisational innovation. These propositions are organised into four categories: (1) ‘Direct’ – how exploratory forms of process improvement can directly drive innovativeness; (2) ‘Resource Capacity’ – how process improvement can increase the resource capacity that drives innovativeness; (3) ‘Knowledge’ – how process improvement efforts can strengthen knowledge resources that drive innovativeness; and (4) ‘Management Vision’ – how process improvement efforts can influence the managerial vision that moderates the effect of process improvement efforts on innovativeness.     

Determinants of persistence in innovation: evidence from the case study of the ‘Eye Microsurgery’ Complex

This study aims at determining the major factors supporting innovative persistence based on an in-depth analysis of the internal organizational processes of the state-owned medical institution, ‘Eye Microsurgery’ Complex in Moscow. I propose a systemic approach to the study of innovation activities, which incorporates aspects of evolutionary economics, institutional analysis and dynamic capabilities theory. The study explicitly incorporates the changing external environment as a factor shaping innovation dynamics. The findings suggest that at the earliest stage of the firm's development, the interaction between the nature of the technology and the nature of the demand, the presence of prolific innovators and a certain organizational structure that supports learning, effective knowledge production and accumulation are determinant of persistence in innovation. In later periods, the availability of resources (material, financial, specialized human capital), external collaborations, specific production techniques, well-organized technological diffusion, and motivational factors are the elements providing the basis for innovative persistence. Leadership plays a crucial role in supporting innovation and organizational transformation.     

Technological Expectations And The Diffusion Of ‘Intermediate’ Technologies

The concept of ‘technological expectations’ has established itself as a key one in the smdy of innovation adoption. The article suggests that it may help explaining not just the adopters' timing decisions, but also their decisions regarding the kind of innovation they adopt. Innova tions that set the technological frontier face the competitive diffusion of some ‘intemdiate’ technologies. These may be either old technologies or ‘midrange’ ones. which purposefully lag behind the frontier, in order to impose lower adoption costs to their users.

Taking into account midrange innovations casts new light on the supply side of the diffu sion process. in terms of technological variety and selection effects. Drawing examples from the electronic colour pre-press industry, we highlight the equipment suppliers' anxious quest for the successful midrange innovation, able to hit the right txade-off between proximity to the frontier and adoption costs.     

Battle royal in biotechnology: R&D vs. product vs. process innovations

Companies regard innovation as a central element of their business. However, as not all innovation types are the same, the central question is: should their announcements bring about the same effect on performance? This article analyses potential differences in firm value derived from the innovation-type announcements ‘R&;D’, ‘product’, and ‘process’, made by intensive news-generating firms such as biotech companies. The empirical application shows a significantly positive reaction to innovation announcements, with the prospect of future innovation (‘R&;D’ investment announcements) having greater impact on firm value than ‘product’ and ‘process’ innovations. Firm experience also acts as a moderator in this innovation–performance relationship, which is particularly relevant for entrepreneurs who need to develop and send credible signals indicating the value of the firm's intangible assets to the market.     

Is newest always best? Firm-level evidence to challenge a focus on high-capability technological (product or process) innovation

This paper sets out to address a gap in the empirical literature on the importance of ‘low-capability’ innovation for firms. The study is framed around discussion of the conceptual bias that remains in policy and academic literature towards a narrow subset of technological (product or process) innovation labelled ‘high-capability’ innovation in this paper. The paper argues that this bias influences the public and business community's understanding of the term ‘innovation’ and has implications for innovation measurement, research, policy and strategy. The study uses data from an economy-wide, regional innovation survey based on the Oslo manual, and includes 648 innovative firms covering all industry sectors. The paper combines elements of both subject and object approaches to innovation measurement, using data from an open-ended survey question to explore the alignment between what firms report as their ‘most important innovation’ (MII) and firm capabilities for introducing ‘high-capability’ technological innovation. Results show that a substantial share of firms report an MII that is a ‘low-capability’ innovation, including those firms with high R&D intensity, those with novel technological innovation, and firms in more innovative sectors of manufacturing and knowledge intensive business services. The paper discusses the implications of this result for future innovation measurement and research.     

Cooperation in R&D through a network,an ‘organizational gamble’? an empirical analysis of rhône poulenc rorer-gencell

This paper is based on the empirical analysis of innovation challenges to Rhône Poulenc Rorer-Gencell (RPR-Gencell) resulting from development of biotechnology in the pharmaceutical industy. These we identify as an organizational innovation involving the development of a network of partners following and/or inducing a technological innovation. RPR-Gencell represents a ‘style of innovation’ since it is based on various factors specific to the firm and corresponds to a new organizational form, the ‘tight network’ of partners. We argue that this organizational from, in the context of the development of biotechnology in the pharmaceutical industry, can be likened to an ‘organizational gamble’ associated with a ‘technological gamble’ Altogether, this ‘gamble’ dimension means that the network of partners in R&D is still a marginal organizational form. After an introduction we show that the specficities of the pharmaceutical industry especialy since the emergence of biotechnohgy have led to the emergence of a multiplicity of institutional arrangements governing cooperation in R&D. We take as a specific example that of gene therapy. Later on, we present some stylized facts to emphasize the diversity among the network organizational forms. The network of partners is an alternative to the other complex but ‘clarsical’ forms of cooperation (R&D agreements, cross-licensing, joint-ventures, mergers/acquisilions). We propose a new definition of the network based on the case of RPR-Gencell: the ‘tight network’. We distinguish between the ‘tight network’ and all the other approaches, focusing in particular on the ‘loose network’ of cooperative relationship (mostly multifirm alliances implemented with several bilateral contracts). Only two pharmaceutical companies have adopted the ‘tight network’ to govern their cooperation in R&D. We present the network ofpartners as an organizational innovation governing a technological innovation. We argue that this organizational innovation could be likened to an ‘organizational gamble’ in the case of the pharmaceutical industry. Finally, we show that the network raises several organizational issues since it short-circuits traditional strategic operations in the pharamaceutical industry. We argue that among many different reasons, RPR's technological choices (especially the priorig given to gene therapy) have influenced the creation of its network of partners. As a conclusion, we discuss the link between the organizational innovation and the technological innovation focusing on the ‘gamble’ dimension of such an innovation.     

Driving force from authorities: the evolution of innovation system for biomedical industry in China

Over the past 30 years, China has fully exploited its advantage to steadily foster an innovation system for the biomedical industry with Chinese characteristics, that is, ‘Government-guided, resource-integrated and long-term planning.’ The system originated from historically famous ‘863 program’ in the 1980s, evolved with a series of favourable policies in the different periods, and eventually has taken shape in the industrial clusters across the country. It features with a systematic and integrated R&D infrastructure (or public platform) at different levels. In this study, China’s biomedical innovation system will be examined and the leading role of Chinese authorities will be explored from the perspective of Triple Helix theory. As the ‘highland of innovation’, Shanghai case is highlighted with plentiful information gathered from primary sources in the involved agencies for the first time, including the Shanghai Biopharma Service Platform.     

The reverse tragedy of the commons: an exploratory account of incentives for under-exploitation in an open innovation environment*

This paper presents an empirical account of a phenomenon that we refer to as the ‘reverse tragedy of the commons’ in open innovation. The name signifies the ‘under-exploitation’ of intellectual property (IP) under weak appropriability. The name is this graphic because the tragedy is costly, and can also render IP effectively worthless and block innovation in the short to medium term. We propose that the tragedy is borne out of the interaction between enterprise characteristics, a competitive setting and the framework that is set by the policy intervention. This finding is pertinent to policy-makers with regard to the design of research, development and innovation instruments, as well as managers who must determine how to implement open practices in innovation.     

UNEMPLOYMENT PERSISTENCE AND THE SUSTAINABILITY OF EXCHANGE RATE PEGS

It is commonly thought that an open economy can accommodate output shocks through either exchange rate or real sector adjustments. We formalize this notion by incorporating unemployment persistence into a two‐sided escape clause model of currency crises. We show that unemployment persistence makes a currency peg more fragile and undermines the credibility of the monetary authority in a dynamic setting. The fragility is captured by a devaluation premium in expectations that increases the average inflation rate when the currency peg is more vulnerable to ‘busts’ than ‘booms’. This interaction between macroeconomic and microeconomic rigidities suggests that a policy reform can only be consistent if it renders either exchange rates or the economy more flexible.     

Impact of different patent cooperation network models on innovation performance of technology-based SMEs

ABSTRACT

Patent cooperation network, an important way for technology-based SMEs to enhance innovation performance, has become a research hotspot in recent years. Different types of patent cooperation network models and different degree of SMEs embedding them will lead to different effects on enterprise innovation performance improvement. This research selected the ICT industry and the pharmaceutical industry technology-based SMEs with rich patent output as research objects. Based on binary structure perspective of network breadth and depth, the patent cooperation networks are divided into four types: ‘strong exploration’, ‘weak exploration’, ‘strong utilisation’ and ‘weak utilisation’. Through the multi-selection model and the negative binomial regression model, the general factors in the selection of patent cooperation network models and the impact of different models on enterprise innovation performance are analysed. This research provides path breakthroughs and development proposals for technology-based SMEs to access innovative resources and enhance their innovation capabilities on patent cooperation networks.     

Efficiency and effectiveness between open and closed innovation: empirical evidence in South Korean manufacturers

This study addresses two main questions. First, what is the best measurement of innovation performance? Second, is there a significant difference in the performance between open and closed innovation firms? We discuss new measures (‘efficiency’ and ‘effectiveness’) and investigate any differences between open innovation and closed innovation firms by using indicators. The impact of open innovation on firm performance has been examined in existing studies. Most papers, however, employ simple indicators such as patents and financial data. This paper verifies the relationship between open innovation and performance in the Korean manufacturing industry using a new approach. The results show that both efficiency and effectiveness were statistically higher among open innovation firms than among their closed counterparts. It may thus be concluded that the acquisition of outside technology or knowledge has a positive impact on firm performance.     

Collaborative innovation and policy support: the emergence of trilateral networks

ABSTRACT

The present article models the critical factors for a successful and evolutionarily stable National System of Innovation. We simulate a model, against the background of increasingly complex technologies, in a national process of agents’ interactions with social-dilemma characteristics. In particular, the articleinvestigates the emergence of a trilateral collaborative innovation alliance among ‘enterprise’, ‘university’ and ‘government’. We apply a tripartite evolutionary game with a replication process and explore the role and options of the public policy agent to support collaboration on innovation. We find that some policy mix, in particular, a combination of (1) public rewards for cooperation, (2) public punishment for non-cooperation and (3) settings of public cost controls and tax income from innovation, can promote broad and sustainable innovation alliances. For instance, threats of strong punishment, even with low public rewards for cooperation, may promote the formation of a collaborative innovation alliance. We run some sensitivity analyses of the results through parametric variation of two critical factors of the model, knowledge spillover and output elasticity of knowledge input. We find some qualifications for the velocity of the process.     

The Economics of International Policy Coordination*

One aspect of reforming the world monetary system is the issue of designing a set of ‘rules of the game’ within which countries can pursue their own national objectives and yet which still leads to some form of global coordination of macroeconomic policies. The issue of strategic interactions between countries has recently received some analytical insights with the application of game theory to the economics literature on interdependence between countries. The purpose of this paper is to survey these recent applications of static and dynamic game theory to the question of international policy coordination. It also surveys the results of the few empirical attempts to measure the potential gains to coordination.     

高管持股对创新可持续性的影响研究

企业创新活动一旦中断将会产生巨大的调整成本损失。因此,如何保持企业创新可持续性是企业创新研究的重要问题。结合委托代理理论,探索了企业高管持股对创新可持续性的影响,并进一步讨论了高管过度自信与产权性质的调节作用。使用2003-2014年中国A股制造业上市公司面板数据进行实证分析,结果表明：高管持股对企业创新可持续性具有显著正向影响,高管过度自信则弱化了两者间正向关系,而相对于非民营企业,民营企业高管持股对创新可持续性的正向作用更强。同时考虑两种情境效应的综合影响时,在民营企业中高管过度自信的负向调节作用更强。最后,考虑了遗漏变量带来的“选择偏差问题”和内生性问题,采用基于Kernel匹配得分法的反事实检验,为实证结果提供了稳健性证明。     

Integration,Diversity, Plurality: Territorial Governance and the Reconstruction of Legitimacy in a European ‘Postnational’ State

This article deals with the European ‘legitimacy crisis’ from a neglected perspective, looking at ‘Europe’ not primarily as a set of formal (or formalisable) institutions, but rather as an emergent, policy-driven institutional construct. In this perspective, European integration may be very much seen as the outcome of the policies that are enacted in the European supra-national arena as well as of the way such policies are continuously reinterpreted, renegotiated and re-enacted in the different arenas of its multi-level polity. What is at stake in adopting a policy approach to the European legitimacy issue is, hence, a critical appraisal of development of processes of ‘institutionalisation of Europe’ that range far beyond issues of constitutional design. A crucial consequence is the need to ‘spatialise’ discourse on European reforms. The conclusion is a plea for an integration model for Europe not only constitutionally respectful of diversity, but constitutively enhancing diversity, and for an approach to policy reforms acting upon a ‘political geography of differences’.     

Assessing measurement errors in the CDM research–innovation–productivity relationships

ABSTRACT

The Crépon-Duguet-Mairesse 1998 article, known as CDM, initiated a structural econometric framework to analyze the relationships among research, innovation and productivity, which has been estimated most generally on the basis of cross-sectional innovation survey-type data. Some econometric implementations of the CDM approach have suggested that such data give useful but imprecise measures of the innovation output (share of innovative sales), and to a lesser degree of the innovation input (R&D). These ‘measurement errors’ may result in attenuation biases of the estimated R&D and innovation impact elasticities in the two basic CDM ‘roots’ relations of R&D to innovation and innovation to productivity, as well as in the extended production function à la Griliches linking directly R&D to productivity. Using a panel of three waves of the French Community Innovation Survey (CIS), we assess these biases and the magnitude of the underlying measurement errors, assuming mainly that they are ‘white noise’ errors. We do so by comparing two pairs of usual panel estimators (Total and Between) in both the cross-sectional and time dimensions of the data (Levels and Differences). We find large measurement errors on innovation output in the innovation–productivity equation, resulting in large attenuation biases in the related elasticity parameter. We also find smaller but sizeable measurement errors on R&D, with significant attenuation biases in the corresponding elasticity estimates, in the R&D–innovation equation and the extended production function. Simulations suggest that the measurement errors on innovation and R&D are unaffected by similar measurement errors on the capital variable.     

Structural heterogeneity and proximity mechanism of China’s inter-regional innovation cooperation network

ABSTRACT

Based on the cooperation patent data between 31 provinces in China from 1985 to 2017, this paper portrays the topological structure, spatial pattern and proximity mechanism of China’s inter-regional innovation cooperation network by the graph theory, spatial statistical methods and the quadratic assignment procedure model. The conclusions are as follows: (1) the topological structure of China’s inter-regional innovation cooperation forms a hierarchical network with Beijing as the core and it exhibits a typical small-world property and ‘core–periphery’ structure. (2) In terms of spatial distribution characteristics, the ‘quadruple’ with the Beijing–Tianjin region, Yangtze River Delta, Pearl River Delta and Sichuan as the peaks has become the backbone of the inter-regional innovation cooperation network in China. At the same time, the spatial differentiation of the three indicators of degree centrality, median centrality and intensity centrality is obvious. (3) In terms of proximity mechanism, geographical, institutional and cognitive proximity exert a significant effect on China’s inter-regional innovation cooperation network linkage. However, there are significant differences in the effects of various proximity elements on China’s regional innovation network.     

The evolution of competition in innovation resource: a theoretical study based on Lotka–Volterra model

This research uses the Lotka–Volterra model to analyse the competition of innovation resource between two enterprises and studies the dynamic effects of environmental changes through the change of model parameters. The research finds that there are three possible results of the competition in innovation resource. That comprises ‘crowding out effect’, ‘unstable equilibrium’ and ‘stable equilibrium’. The results of competitive evolution are determined by enterprises’ interaction parameters. However, the natural growth rates, the initial resource possessions of both enterprises and the amount of regional innovation resource have a significant impact on the evolution of competition.     

Innovation as a nonlinear process,the scientometric perspective,and the specification of an ‘innovation opportunities explorer’

The process of innovation follows nonlinear patterns across the domains of science, technology, and the economy. Novel bibliometric mapping techniques can be used to investigate and represent distinctive, but complementary perspectives on the innovation process (e.g. ‘demand’ and ‘supply’) as well as the interactions among these perspectives using animations. In a map, the different perspectives can be represented as ‘continents’ of data related to varying extents over time. For example, the different branches of Medical Subject Headings (MeSH) in the Medline database provide sources of such perspectives (e.g. ‘Diseases’ vs ‘Drugs and Chemicals’). The multiple-perspective approach enables us to reconstruct facets of the dynamics of innovation, in terms of selection mechanisms shaping localisable trajectories and/or resulting in more globalised regimes. By expanding the data with patents and scholarly publications, we demonstrate the use of this multi-perspective approach in the case of RNA Interference (RNAi). The possibility to develop an ‘Innovation Opportunities Explorer’ is specified.