Patterns of Innovation in UK Industry: Exploring the CIS Data to Contrast High and Low Technology Industries.

This paper is divided into two parts. The first part is an examination of the OECD classification of industries into high, medium and low technology industries, to look at the basis for this classification and to use that as a benchmark with which to classify the Community Innovation Survey (CIS) data for the UK into similar groupings. The industries are ranked according to their research intensities and the rankings between the two datasets are compared. Some features of the UK rankings are highlighted and anomalies between the two datasets pointed out. The second part of the paper goes on to use the OECD classification into high, medium and low technology industries, applied to the CIS dataset, to contrast patterns of innovation in high technology industries with those in low technology industries. We build on the three types of innovation surveyed in the CIS, namely product, process and organisational innovation and contrast those types across high and low technology sectors. The expected relationship between high technology industries and product innovation holds - that enterprises tend to do more product innovation, the higher their research intensity. But process innovation does not conform to this pattern and there is not such a clear division between high and low technology industries. However the way they do process innovations differs with high technology industries more reliant on internal resources whereas lower technology industries tend to do it using external resources in collaboration with others. Organisational innovation is more complex, with certain types of innovation done as widely by lower technology industries as by the more research intensive industries. This supports the idea that all types of innovation should be considered, with the diffusion of ICTs making an impact across the technological spectrum of industries and showing up in various forms of organisational innovation

Absorptive Capacity: One Size Fits All? Firm-level Analysis of Absorptive Capacity for Different Kinds of Knowledge

The paper empirically analyses the effect of R&D activities, human resource and knowledge management, and the organisation of knowledge sharing within a firm on the absorptive capacity of innovative firms for three different types of knowledge, namely absorptive capacity to use knowledge from a firm?s own industry, knowledge from other industries and knowledge from research institutions. Using data from the German innovation survey we investigate how firms are able to exploit knowledge from external partners for successful innovation activities. The estimation results show that the determinants of absorptive capacity differ with respect to the type of knowledge absorbed for innovation activities. In particular we find that the R&D intensity does not significantly influence absorptive capacity for intra- and inter-industry knowledge. Additionally, our results suggest that absorptive capacity is path-dependent and firms can influence their ability to exploit external knowledge by encouraging individuals? involvement in a firm?s innovation projects. --absorptive capacity,R&D,innovation management,innovation survey

The revealed preferences of high technology acquirers: an analysis of the characteristics of their targets

In this paper we investigate the motives of high-tech acquieres by analysing their revealed preferences in terms of the high-tech companies they acquire.mergers and acquisitions, acquisition likelihood, R&D patents

Investigating the technology catching-up trajectory of Chinese Hi-Tech SMEs: an integrated framework from industry-, resource-, and institution-based view

Accepted for WLICSMB 2010Purpose This paper intends to review the literatures on the technology catching-up trajectory of latecomers in order to understand the innovation strategies of Chinese Hi-Tech SMEs (Gu & Tse, 2010; Xie & White, 2006; Chen & Qu, 2003; Lee & Lim, 2001; Kim, 1997). It also tries to construct an integrated framework to investigate their innovation strategies and the impact on organizational performance from the Industry-, Resource-, and Institution-based view (Peng, Wang, & Jiang, 2008). Design/methodology/approach The authors have reviewed papers published in the leading journals in the R&D field and proposed an integrated conceptual framework of innovation strategies of Chinese Hi-Tech firms based on Peng, Wang and Jiang (2008)’s institution-based view framework to examine the innovation strategy from Industry-, firm-specific Resource-based, and Institution-based View Originality/Value This paper pays attention to the institution factors in shaping Chinese SMEs to develop innovative capabilities. Chinese firms have comparative advantages, such as better comprehending Chinese local market, better understanding of local business environment comparing to MNEs. Our paper argues that by developing effective innovation strategies and improving innovative capabilities, Chinese SMEs will be able to survive from the severe competitions from state-owned enterprises and foreign firms in China

Knowledge hubs and knowledge clusters: Designing a knowledge architecture for development.

With globalisation and knowledge-based production, firms may cooperate on a global scale, outsource parts of their administrative or productive units and negate location altogether. The extremely low transaction costs of data, information and knowledge seem to invalidate the theory of agglomeration and the spatial clustering of firms, going back to the classical work by Alfred Weber (1868-1958) and Alfred Marshall (1842-1924), who emphasized the microeconomic benefits of industrial collocation. This paper will argue against this view and show why the growth of knowledge societies will rather increase than decrease the relevance of location by creating knowledge clusters and knowledge hubs. A knowledge cluster is a local innovation system organized around universities, research institutions and firms which successfully drive innovations and create new industries. Knowledge hubs are localities with high internal and external networking and knowledge sharing capabilities. Both form a new knowledge architecture within an epistemic landscape of knowledge creation and dissemination, structured by knowledge gaps and areas of low knowledge intensity. The paper will focus on the internal dynamics of knowledge clusters and knowledge hubs and show why clustering takes place despite globalisation and the rapid growth of ICT. The basic argument that firms and their delivery chains attempt to reduce transport (transaction) costs by choosing the same location is still valid for most industrial economies, but knowledge hubs have different dynamics relating to externalities produced from knowledge sharing and research and development outputs. The paper draws on empirical data derived from ongoing research in the Lee Kong Chian School of Business, Singapore Management University and in the Center for Development Research (ZEF), University of Bonn, supported by the German Aeronautics and Space Agency (DLR).

Absorptive Capacity – One Size Fits All? A Firm-level Analysis of Absorptive Capacity for Different Kinds of Knowledge

The paper empirically analyses the effect of R&D activities, human resource and knowledge management, and the organisation of knowledge sharing within a firm on the absorptive capacity of innovative firms for three different types of knowledge, namely absorptive capacity to use knowledge from a firm’s own industry, knowledge from other industries and knowledge from research institutions. Using data from the German innovation survey we investigate how firms are able to exploit knowledge from external partners for successful innovation activities. The estimation results show that the determinants of absorptive capacity differ with respect to the type of knowledge absorbed for innovation activities. In particular we find that the R&D intensity does not significantly influence absorptive capacity for intra- and inter- industry knowledge. Additionally, our results suggest that absorptive capacity is path-dependent and firms can influence their ability to exploit external knowledge by encouraging individuals’ involvement in a firm’s innovation projects.absorptive capacity, R&D, innovation management, innovation surveys

The Revealed Preferences of High Technology Acquirers: An Analysis of the Characteristics of their Targets

In this paper we investigate the motives of high-tech acquirers by analysing their revealed preferences in terms of the high-tech companies they acquire. Using a large sample of acquisitions involving publicly traded firms from various countries we ask whether high technology acquisitions are best understood in terms of acquirers seeking to source externally special innovation-related assets by acquiring firms with “superior” innovative performance; or acquirers seeking to acquire firms with “inferior” innovative performance in order to turn them around. We find evidence that acquisition is a very noisy phenomenon and that economic and innovation related variables explain only a modest part of the probability of becoming a target. We do however find that, compared to non-acquired firms, high-tech targets tend to be somewhat larger, to have poorer profitability, lower Tobin’s q and liquidity. In relation to their innovative profile, targets, in general, seem to have a relatively larger stock of accumulated knowledge (stock of citation-weighted patents), relatively higher R&D inputs (R&D-intensity), but they are more likely to generate no R&D output (citation-weighted patent- intensity) before they are acquired. We conclude that high technology acquisitions reflect a process which is primarily driven by acquirers wishing to exploit the potential for turning around firms which, despite a good past record, appear to be innovatively and economically inefficient before they are acquired.Mergers and acquisitions, acquisition likelihood, R&D, patents

How inter-firm networks influence the development of agglomerations

Non-market interactions are increasingly regarded as key explanations for spatial concentration. Consistently, both innovation and local knowledge spillovers play a central role in recent theories of agglomeration. According to these theories, exchange of localised knowledge gives firms an innovative advantage which results in better economic performance. However, it has turned out to be difficult to open the black box of economies of scale using empirical tests.\ud Since interactions get considerable attention in recent agglomeration theory, social network methods and theory are promising approaches to research spatial agglomerations. Even more so because simultaneously, there is an increasing emphasis on interfirm ties in the network field.\ud The goal of our research is to explore how interfirm networks influence the development of agglomerations. Firstly we provide a review on network and innovation literature in the field of spatial clusters. Secondly, we discuss measurement issues related to networks and innovation and ways to overcome them. Finally, we present preliminary results of our network study among high tech firms in the Dutch region of Twente

Autonomy and Performance of Foreign Subsidiaries in five Transition Countries

The paper analyses the link between the autonomy according to business function and the performance of foreign subsidiaries in Slovenia, Poland, Hungary, Slovakia and Estonia. The novelty of the paper is in the deeper investigation of the multidimensionality of autonomy. Using the method of principal components, four business function factors relating to autonomy were obtained (technology, marketing, management, finance). The results supported the argument that the relationship between autonomy and performance depends on the type of autonomy. Marketing and finance are the most powerful dimensions of autonomy. Higher autonomy in marketing is negatively linked with technology upgrading, measured by productivity level, improvement of technological level of production equipment, and quality of products. The higher the financial autonomy of the subsidiaries the bigger the positive changes in all fields of performance.http://deepblue.lib.umich.edu/bitstream/2027.42/40166/3/wp780.pd