Science and Technology Cooperation in Cross-border Regions::A Proximity Approach with Evidence for Northern Europe

Given the sheer number of cross-border regions (CBRs) within the EU, their socio-economic importance has been recognized both by policy-makers and academics. Recently, the novel concept of cross-border regional innovation system has been introduced to guide the assessment of integration processes in CBRs. A central focus of this concept is set on analyzing the impact of varying types of proximity (cognitive, technological, etc.) on cross-border cooperation. Previous empirical applications of the concept have, however, relied on individual case studies and varying methodologies, thus complicating and constraining comparisons between different CBRs. Here a broader view is provided by comparing 28 Northern European CBRs. The empirical analysis utilizes economic, science and technology (S&T) statistics to construct proximity indicators and measures S&T integration in the context of cross-border cooperation. The findings from descriptive statistics and exploratory count data regressions show that technological and cognitive proximity measures are significantly related to S&T cooperation activities (cross-border co-publications and co-patents). Taken together, our empirical approach underlines the feasibility of utilizing the proximity approach for comparative analyses in CBR settings

The Accounting Network: how financial institutions react to systemic crisis

The role of Network Theory in the study of the financial crisis has been widely spotted in the latest years. It has been shown how the network topology and the dynamics running on top of it can trigger the outbreak of large systemic crisis. Following this methodological perspective we introduce here the Accounting Network, i.e. the network we can extract through vector similarities techniques from companies' financial statements. We build the Accounting Network on a large database of worldwide banks in the period 2001-2013, covering the onset of the global financial crisis of mid-2007. After a careful data cleaning, we apply a quality check in the construction of the network, introducing a parameter (the Quality Ratio) capable of trading off the size of the sample (coverage) and the representativeness of the financial statements (accuracy). We compute several basic network statistics and check, with the Louvain community detection algorithm, for emerging communities of banks. Remarkably enough sensible regional aggregations show up with the Japanese and the US clusters dominating the community structure, although the presence of a geographically mixed community points to a gradual convergence of banks into similar supranational practices. Finally, a Principal Component Analysis procedure reveals the main economic components that influence communities' heterogeneity. Even using the most basic vector similarity hypotheses on the composition of the financial statements, the signature of the financial crisis clearly arises across the years around 2008. We finally discuss how the Accounting Networks can be improved to reflect the best practices in the financial statement analysis

Collective frames of reference, recognition, and managers' mental models of competition: a test in two industries

This work was supported by ESRC grant no. R000232883.Managers draw upon sources of collective knowledge to cognitively represent strategic issues. It has also be argued that cognition is embedded in social interaction, enabling managers to recognize of others’ cognitions. In two separate industries, this study found that the influences upon managers’ mental models of their competitive environment include industry membership, organizational membership, and management level. The results indicate further that recognition of others’ mental models may be more pronounced than cognitive similarity.School of Managemen

Antecedents of trust in international joint ventures' (IJVS) performance in developing countries: A review of empirical evidence

Trust in international joint venture has received much attention for the last 20 years. This study highlights the importance of social capital in international joint ventures (IJVs) in developing countries. This paper assesses the impact of antecedents of trust on performance of international joint ventures in developing countries, which is based on social exchange theory. Little attention has been paid to exploring the concept in IJV. The impacts of components of inter partner-fits and relational factors on trust and the effect of trust on performance of IJVs will be considered. In addition the impact of religion and country risk on level of trust in IJVs in these countries will be evaluated. A framework has been developed based on this review analyses and integrates empirical evidence in order to identify convergence and conflict in IJV. The paper addresses a problem of relevance to both international academics and practitioners in addressing managerial implications. It is hoped that the study will provide a meaningful implication to the process of selection of IJV partners

How journal rankings can suppress interdisciplinary research. A comparison between Innovation Studies and Business & Management

This study provides quantitative evidence on how the use of journal rankings can disadvantage interdisciplinary research in research evaluations. Using publication and citation data, it compares the degree of interdisciplinarity and the research performance of a number of Innovation Studies units with that of leading Business & Management schools in the UK. On the basis of various mappings and metrics, this study shows that: (i) Innovation Studies units are consistently more interdisciplinary in their research than Business & Management schools; (ii) the top journals in the Association of Business Schools' rankings span a less diverse set of disciplines than lower-ranked journals; (iii) this results in a more favourable assessment of the performance of Business & Management schools, which are more disciplinary-focused. This citation-based analysis challenges the journal ranking-based assessment. In short, the investigation illustrates how ostensibly 'excellence-based' journal rankings exhibit a systematic bias in favour of mono-disciplinary research. The paper concludes with a discussion of implications of these phenomena, in particular how the bias is likely to affect negatively the evaluation and associated financial resourcing of interdisciplinary research organisations, and may result in researchers becoming more compliant with disciplinary authority over time.Comment: 41 pages, 10 figure

Explaining the Diversification Path of Exporters in Brazil: How Similar and Sophisticated are New Products?

A stylised fact of the economic literature suggests that export diversification is good for economic growth and is associated with economic development. In addition, there is evidence suggesting that the level of sophistication of countries’ exports “matters” for growth and development. This paper contributes to this literature by analysing two unexplored dimensions of export diversification: the degree of relatedness (similarity) and sophistication of new products in relation to existing ones. The objective of this paper is to understand the mechanisms through which firms are able to diversify to less related and more sophisticated activities. We do so using a unique dataset that links data on exports, innovation and firms’ characteristics at the firm level in Brazil. The main findings suggest that i) diversification occurs in very closely related activities, where firms have some core competences, ii) most diversification occurs in new products with lower level of sophistication than existing exports, iii) the degree of diversification and innovativeness of the production basket, and the position that the firm has developed in the domestic market appear to matter for diversification towards more or less distant products.Diversification; Relatedness; Sophistication; Trade; Innovation; Brazil

Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network

The network of patents connected by citations is an evolving graph, which provides a representation of the innovation process. A patent citing another implies that the cited patent reflects a piece of previously existing knowledge that the citing patent builds upon. A methodology presented here (i) identifies actual clusters of patents: i.e. technological branches, and (ii) gives predictions about the temporal changes of the structure of the clusters. A predictor, called the {citation vector}, is defined for characterizing technological development to show how a patent cited by other patents belongs to various industrial fields. The clustering technique adopted is able to detect the new emerging recombinations, and predicts emerging new technology clusters. The predictive ability of our new method is illustrated on the example of USPTO subcategory 11, Agriculture, Food, Textiles. A cluster of patents is determined based on citation data up to 1991, which shows significant overlap of the class 442 formed at the beginning of 1997. These new tools of predictive analytics could support policy decision making processes in science and technology, and help formulate recommendations for action

Connected innovation: an international comparative study that identifies mixed modes of innovation

This paper offers a new angle on innovation modalities by adopting a recently emerging approach towards identifying innovation typologies via exploratory data analysis techniques with the aim to tease out some underlying latent variables that represent coherent innovation strategies for groups of firms. Mixed modes of innovation include aspects of both user and open innovation, and are employed to inform on such concepts. The modes of innovation are developed by exploring micro-level innovation survey data across 18 countries. The contributions of the paper lie in (a) the identification of five core innovation modes that are found in almost all countries; and (b) examining – via regression analysis – the role of different modes in firm performance