Mediating effect of technological innovation capabilities between dynamic capabilities and competitiveness of research and technology organisations

Technological innovation capabilities (TICs) are important for organisations to obtain core competencies and competitive advantages. This study assesses the relationship between dynamic capabilities (DCs) and TICs, and analyses the effect of TICs on competitiveness in research and technology organisations. The article presents an empirical evidence from a survey of Iranian large public research institute (LPRI). In order to explore the relationship among the constructs of the survey, the model was proposed using structural equation modelling (SEM). The results of confirmatory factor analysis revealed that the measurement scale of the variables is valid. Moreover, SEM confirmed that both TICs and DCs enhance competitiveness. Finally, it was indicated that TICs play a mediating role in the relationship between DCs and competitiveness.     

Investing in innovation to enable global competitiveness: The case of Portugal

The concept of leveraged innovation to create wealth within regions, countries and economies is not a new concept. Competitiveness of regions in the increasingly global economy now requires not only that innovation be present within a regional economy, but also that mechanisms exist to effectively transfer those developed innovations from the research laboratory to the marketplace. It is surmised that increased innovation, and the transfer of this innovation, can lead to increased prosperity of regions (Porter). As such, many developing countries around the world are looking at investments in innovation as a means to spur regional economic development and wealth creation while preserving national competitiveness. That said, innovation investment is by no means an exact science. Historically, typical “innovation investments” have been focused on “tangible” capital infrastructure projects such as the establishment of incubators and science parks. While many regions point to the existence of such tangible innovation assets as proof of investment in innovation, it has been discovered that in some cases, an investment in the capacity building of human networks to engage in technology transfer and commercialization related activities can act as a stronger facilitator for the transformation of economies and produce a larger return on investment in innovation for the country. Given not only Portugal's, but other regions throughout the EU-Zone, recent financial and economic woes, it bears examination on whether investing in the innovation and technology transfer knowledge and “know how” of key human networks within a struggling economy is a worthwhile investment for financially struggling countries during the current times of fiscal crisis.     

Demographic processes in a model of innovation diffusion with dynamic market

In this paper we study a binomial innovation diffusion model for a variable size market by modelling the demographic process of entrance-exit from each market compartment. We examine from a theoretical point of view the effect of the simultaneous presence of economic and demographic parameters under the exponential market growth hypothesis, by presenting some general results on the adoptions and sales time path. We also enlighten the relevance of considering these variables in relative terms and show how, in presence of a dynamic, the diffusion process never saturates the market. Finally, we test our model on a data set for cellular phones market in different countries.     

Location in scientific-technological parks,dynamic capabilities,and innovation

Determining the sources of business success in highly dynamic and turbulent environments is very complicated. A broad consensus exists in this respect about the need to contemplate the innovation as a key element for competitiveness. This reasoning stems from its positive effects on growth and on efficiency, of innovative firms in comparison with non-innovative ones. Geographical location provides a unique and different context and this paper aims to analyse the influence exerted by the territory on dynamic capabilities and, consequently, on business competitiveness. Using a sample of 610 high-technology companies drawn from the Technological Innovation Panel (2012), it is confirmed not only that firms located in scientific-technological parks are more innovative but also that dynamic capabilities play a mediating role in this relationship.     

Innovation and competitiveness: a review

Increasing interest has been shown by governments in maintaining the competitiveness of their economies by the use of policies designed to encourage advances in science and technohgy, and the adoption of new tachniques by industry. This paper is the result of a literature review and a sumvey of researchers on the concepts of innovation and competitiveness, the relationships between them and the efficiency ofpolicies to promote them. Those policies an considered in the context of alternative economic perspectives, as is the (rather limited) empirical euidence available. Conclusions are drawn on the current stab of the art of innovation policy research.     

Collaboration for innovation and project failure. A dynamic analysis

The aim of this paper is to investigate the hypothesis that there is a complex and bidirectional relation between collaboration and failure in innovation projects. On the one hand, collaboration in innovative activities may increase the likelihood of project failure. At the same time, the failure in innovation projects may induce the firm to collaborate in order to overcome the problems that determined the failure of innovation projects (induced collaboration). Up to now, we are not aware about the existence of any empirical paper analysing the interaction between these two mechanisms. This paper aims at filling this gap by providing a motivation for the induced collaboration and testing its empirical relevance in a dynamic framework. The empirical analysis is carried out by using two consecutive German Community Innovation Surveys referring to the period 2006–2010. The empirical results support the hypothesis of a bidirectional causal relationship between collaboration and failure.     

Binomial innovation diffusion models with dynamic potential adopter population

Models for describing the time pattern of the diffusion processes for innovations are used by researchers in various disciplines. These models are in general binomial models—binomial in the sense that they focus their attention on two causal variables: 1) that part of the population who have already adopted the innovation, and 2) the rest of the population who are potential adopters. However, these models have a serious limitation in that the potential adopter population is assumed to remain constant over time. This paper presents some modified binomial innovation diffusion models that incorporate dynamic potential adopter populations. Moreover, the developed models are applied to some case studies, and their superiority in forecasting the time pattern of diffusion is also included in this presentation.     

Regional social capital: Embeddedness, innovation networks and regional economic development

Technology is a necessary but not a sufficient condition for regional economic development. Regional innovation networks transform technology into competitiveness of firms and thus contribute to economic development. Intangible assets, such as social capital, decide how effective regional innovation networks function. Differences in regional social capital thus help explain regional differences in economic development. Regional social capital originates from the embeddedness of firms in regional webs of social relations. The norms, values and customs of these networks facilitate collaboration for mutual benefit. As innovation is increasingly a network effort, embeddedness and social capital also help explain how and why networks of innovating companies are successful, as the case study of the Stimulus Cluster Scheme shows.     

International trade and competitiveness

We analyze the role of international market size differences in determining the investment in process R&D (and thus firms?? competitiveness) in a trade model with oligopolistic market structure, non-homothetic production technology and costly trade. We show that the R&D effort is higher (or even disproportionately so) for firms in the larger market, which causes endogenous asymmetries across countries. As a result, firms in the larger market have higher competitiveness, which increases their market shares in international markets. Furthermore, and contrary to what is predicted by Krugman (Am Econ Rev 70:950?C959, 1980) ??home market effect??, in equilibrium the larger country does not need to host a disproportionately higher share of the world??s industry than of the world??s demand. Despite this, the larger country can still continue to run a trade surplus in the oligopolistic sector, since it hosts firms with higher competitiveness than firms in the smaller country.     

Technology and international competitiveness

This article analyses the structure of trade and trade performance of the largest six OECD economies in the 1980s. The article is concerned in particular with the role of technology and innovation and the relationship between specialization in sectors of high, medium or low technology intensity and trade performance. It assesses the argument that the maintenance of international competitiveness requires the advanced economies to become internationally competitive, and to specialize, in higher technology sectors, given that there is increasing competition, especially from newly industrializing countries in low technology products. Section I considers the theoretical basis of this hypothesis; Section II assesses whether it is compatible with data on manufacturing trade performance in the 1980s.     

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.     

Systems of innovation and innovation ecosystems: a literature review in search of complementarities

This paper aims to clarify to what extent the emerging theory of innovation ecosystems (IE) and the theory of systems of innovation (SI) are complementary and then identify how its communities could benefit from cross-fertilization. We performed a critical literature review of both topics using meta-synthesis as method to identify, analyze and compare the two theories. Using a framework, this paper explores the elements belonging to each theory’s domain, in order to identify the key factors necessary to compare the two theories. The results of this analysis show that both theories involve the assessment of three key aspects: the understanding of innovation activities, the role of the agents involved, and the interaction and resulting networks among them. A similarity was found showing that these two different theories are applications of System Thinking approach. Another finding, which has not been mentioned in previous research on the topic, is that the construction of the initial concepts of the IE theory was originally rooted in several SI elements. Finally, we found key factors that may be the cross-fertilization link between the two communities that represent each theory.     

Real exchange rates and competitiveness

This paper examines indicators of competitiveness. It analyses the conceptual foundations of conventional measures of the real exchange rate and finds that inferences about competitiveness from these indicators require strong, and in many cases implausible, assumptions. Based on this analysis some alternative measures are proposed and their use is illustrated using data from Europe. Given the usefulness of standardised indicators, four simple charts are proposed; these help solve some conundrums in the European data and provide the basis for a richer set of inferences about competitiveness.This paper has benefited from discussions with Bob Traa, from comments by Lars Svensson and many colleagues in the International Monetary Fund (IMF), and from the analysis inMarston (1986). The views expressed are those of the authors and should not be construed as representing the position of the IMF.     

Economies with a two-sector representation

Summary In both theoretical and empirical research it is a common practice to partition the economy into (at least) two sectors in order to conduct partial-equilibrium analysis. One merely hopes that general-equilibrium consequences will not obviate all of the analysis of the sector or market in question. In this paper we consider market demand functions which have a two-sector representation. In such economies the aggregate compensated demands in any one sector depend only on prices in that sector, the vector of utilities, and a scalar aggregate which in turn may depend upon everything. In particular, prices in the other sector appear only through this aggregate. In a single-consumer economy this division into two sectors carries with it no further implications. However, when there are three or more consumers, economies with a two-sector representation, which may contain public as well as private goods, must fall into a small number of broad classes which are quite restrictive. This means that the two-sector assumption is far less innocuous than one might have previously believed and that there are some phenomena which simply cannot be investigated in this framework.This research has been supported by the SSHRCC with a research grant and by leave fellowships to all three authors for the year 1984–85. Since then all three authors have been in part supported by various SSHRCC grants. In 1989–90 Blackorby was also partly supported by a Senior Killam Fellowship. The first version was written while all three of us were at CORE, Université Catholique de Louvain, 1984–85. Later versions were written at the University of British Columbia (Blackorby and Schworm), the University of Western Ontario (Schworm), Université Libre de Bruxelles (Davidson), Queen's University (Davidson), Université d'Aix-Marseille II (Davidson), Université d'Aix-Marseille III (Blackorby) and finally GREQE-EHESS (Blackorby and Davidson). We thank all of them for their support. Earlier versions of this paper have been presented at the 1986 Canadian Economic Theory Meetings, the Nuffield Conference on Measurement and Modelling in Economics-May, 1987, the Rheinische Friedrich-Wilhelms-Universität Bonn, the Université de Montréal, University of Saskatchewan, and the University of California at Riverside. We have benefited from the comments of the participants in these seminars, and from those of two anonymous referees.     

试议国家创新体系中技术创新与制度创新的相互关系

建立在熊彼特的创新思想基础上的技术创新经济学和制度创新经济学,从经济运行角度来看,对于在市场经济条件下的国家创新体系建设无疑具有重要的科学指导意义。文章在总结前人研究成果的基础上,对国家创新体系中技术创新与制度创新的关系提出新的研究视点。     

Benchmarking competitiveness in transition economies

This paper constructs an indicator for the current level of international competitiveness of countries in transition. We find that Hungary is the most competitive country in the group while Turkmenistan is the least. Competitiveness measurement, in our view, is a way to use uniform criteria to gauge the extent to which a country makes use of various levers to promote sustained improvements in its well-being. We construct our measure of competitiveness drawing upon both the popular literature on competitiveness as well as modern economic theory. The approach acknowledges the importance of synergies between firms, markets, and government and, above all, the crucial role of institutions. Our choice of variables stresses the special characteristics of transition countries. By bringing to bear all the existing data on these countries, together with new survey data collected for the purpose, we are able to go beyond the mere ranking of countries to decompose the sources of competitiveness into their constituent parts. This allows policy makers to identify areas where their countries are lagging behind relative to other countries in their region. Our indicator is also compatible with the Global Competitiveness Report series categories, thus allowing us to benchmark transition countries against the rest of the world.
JEL classification: C82, O47, O57, P27, P52.     

Sources of Japanese competitiveness and growth

This paper examines the properties of a dynamic equilibrium model focused on sectoral specialization and dynamic competitiveness in international trade. Factors of competitiveness and growth were broken down into three parameters on the export side, two parameters on the import side, and two parameters on the productivity side. Furthermore, the relation between the growth rate of productivity and the wages index is examined. In the first period, 1960–1972, the rapid change in the structure of Japanese production and the composition of Japanese exports paralleled the rapid structural change in the international market and the rapid change in the prices of Japanese exports, stimulating Japanese exports to the international market. The engine of economic growth here is a significant technological change along with improvement of labor and capital productivity. In the second period, 1973–1996, factors such as improving the quality of production, cumulative experience, and the flexibility of price elasticity were crucial factors in increasing Japanese exports. Despite the decline in growth rate of technological change, the engine continued to grow and was supported by increasing the value of the economies of scale.