A central part of the innovation process concerns the way firms go about organizing search for new ideas that have commercial potential. New models of innovation have suggested that many innovative firms have changed the way they search for new ideas, adopting open search strategies that involve the use of a wide range of external actors and sources to help them achieve and sustain innovation. Using a large-scale sample of industrial firms, this paper links search strategy to innovative performance, finding that searching widely and deeply is curvilinearly (taking an inverted U-shape) related to performance. Copyright © 2005 John Wiley & Sons, Ltd.

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Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

The paper is concerned with spatial clustering of economic activity and its relation to the spatiality of knowledge creation in interactive learning processes. It questions the view that tacit knowledge transfer is confined to local milieus whereas codified knowledge may roam the globe almost frictionlessly. The paper highlights the conditions under which both tacit and codified knowledge can be exchanged locally and globally. A distinction is made between, on the one hand, the learning processes taking place among actors embedded in a community by just being there dubbed buzz and, on the other, the knowledge attained by investing in building channels of communication called pipelines to selected providers located outside the local milieu. It is argued that the co-existence of high levels of buzz and many pipelines may provide firms located in outward-looking and lively clusters with a string of particular advantages not available to outsiders. Finally, some policy implications, stemming from this argumen...

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Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation

The 2008 crash has left all the established economic doctrines - equilibrium models, real business cycles, disequilibria models - in disarray. Part of the problem is due to Smith’s "veil of ignorance": individuals unknowingly pursue society’s interest and, as a result, have no clue as to the macroeconomic effects of their actions: witness the Keynes and Leontief multipliers, the concept of value added, fiat money, Engel’s law and technical progress, to name but a few of the macrofoundations of microeconomics. A good viewpoint to take bearings anew lies in comparing the post-Great Depression institutions with those emerging from Thatcher and Reagan’s economic policies: deregulation, exogenous vs. endoge- nous money, shadow banking vs. Volcker’s Rule. Very simply, the banks, whose lending determined deposits after Roosevelt, and were a public service became private enterprises whose deposits determine lending. These underlay the great moderation preceding 2006, and the subsequent crash.

The Economic Institutions of Capitalism

To introduce new products and processes, firms often acquire knowledge from other organizations. Drawing on social capital and transaction cost theory, we argue that not only is the impact of such acquisitions on the successful development of product and product innovations dependent on strategic and economic variables, it may also be contingent on the “knowledge characteristics” of the geographical area in which the firm is located. Combining data on social capital at the level of 21 regions with a large scale data set on innovative activities by a representative sample of 2464 Italian manufacturing firms, we find — after controlling for a large set of firm and regional characteristics — that being located in regions characterized by high levels of social interaction leads to a higher propensity to innovate. In addition, being located in an area characterized by a high degree of social interaction positively moderates the effectiveness of externally acquired R&D on innovation inclination.

Regions Matter How Regional Characteristics Affect External Knowledge Acquisition and Innovation

The paper explores firstly the impact of technological change on trade growth at the country level, using trade statistics and statistics on patenting activity in the US, across 20 countries for 17 manufacturing sectors. Secondly, using structural decomposition analysis, the paper examine whether the degree to which countries get access to sectors with above average growth in technological opportunity has any impact on growth in aggregate market shares of exports. The results demonstrate that there is a positive relationship between change in trade performance and change in technological capabilities across countries for 8 ‘technology intensive’ sectors over the period 1965-1988. It is also shown that there appear to be some (however weak) relationship between the degree to which countries get access to sectors with above average growth in technological opportunity and growth in aggregate market shares. However, there seems to be a much stronger positive relationship between growth rates in trade performance and the individual ‘national innovation system’s’ ability to actively move into technological sectors offering above average technological opportunity.

The Impact of Technological Opportunity on the Dynamics of Trade Performance

Handbook of Research on Entrepreneurship in Professional Services

Scientific knowledge is an important ingredient in the innovation process. Drawing on the literature on the relationship between science and technology, organizational learning theory, and the abso...

Keld Laursen

Papers

Regions Matter How Regional Characteristics Affect External Knowledge Acquisition and Innovation

The Impact of Technological Opportunity on the Dynamics of Trade Performance

Handbook of Research on Entrepreneurship in Professional Services

The Role of Public Researcher Mobility for Industrial Innovation

Is there such a Thing as a "Good" Export Specialisation Pattern?: a European Perspective