Abstract
Innovation and knowledge creation are tightly related concepts. Collaborative innovation networks (COINs) are very productive ecosystems for knowledge generation. Acknowledging their relevance for innovation, we propose a novel ontology for knowledge management (KM) in COINs, which builds on COINs related literature and is partially derived from topic-related and enterprise ontologies. The utility of the ontology is illustrated through an application case in a software house. The ontology can be applied in different cases involving KM in COINs, such as support the development of IT-based KM services for knowledge co-creation in COINs or, be used as an auditing tool in collaborative innovation processes. © 2016 Inderscience Enterprises Ltd.

Abstract

Abstract
Knowledge builds on itself. Scientific progress is achieved through piecewise advances, and is based on the enlightenment of prior evidence and discoveries. Accessing prior information has been a tremendously complex venture for centuries, and restricted to the privileged few. Technological progress and namely, the advent of Internet have opened a world of possibilities, including the instant sharing and diffusion of information. Reaping the full benefits of technological advances has however been prevented by the prerogatives of the publishing industry, which have been increasingly challenged over the last two decades. Major historical milestones include the creation of ArXiv.org, an online repository of electronic preprints in 1991; the launch of SciELO in Brazil in 1997 and its extension to 14 countries; the foundation of PLOS by the Public Library of Science, established as an alternative to traditional publishing and nowadays known as PLOS ONE, which is by far the world’s largest series of journals with over 30,000 papers published in 2015; the Budapest Declaration on Open Access in 2002; the campaign Access2Research and the US Fair Access to Science and Technology Research Act, a foundational piece in the establishment of Open Access in the USA; and the initiative of the European Commission to require all research publications funded under Horizon2020 to be openly accessible, free of charge.  All these initiatives converged towards the same aim: fostering free and unrestricted access to publications, so as to ensure the widespread and rapid diffusion of research findings within, across and outside scientific communities. (...)

Abstract
This Spring Issue will discuss about big data and multiple aspects of its usability and applicability. Many of us have seen blockbuster movies Back to the future (premiere in 1985), The Terminator (1984) or Minority report (2002). The unifying element of the above mentioned movies is that manuscripts are introducing a superior competitive advantage factor. The protagonists create an advantage by having either real-time data (sometimes from the future) or all relevant (big and historical) data with enormous computing capacity over competitors. A bit after first two of those movies premiered, NASA scientists Cox and Ellsworth (1997) published an article where term ‘big data’ appeared first time (Press, 2014). Intelligence needs to be topped up in a way to create advantage. Data has been there for a long time, in all forms and sizes. It is applied in almost single every business sector and it is getting faster in sense of usability. The data storage capacity has been exponentially increasing over time, but the usability of this wealth of data remains a critical issue.(...)

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Abstract
There are a vast number of studies on the relationship between R&D and exports. However, the results are not always clear-cut. This study evaluates whether, in the case of a small, open and peripheral country in which exports are the engine of economic growth despite a noticeable laggardness in terms of R&D, the firms' R&D impacts on and/or is influenced by their exports, as well as whether the interrelation between R&D and exports impacts on the performance of firms. Using an unique dataset comprising all (more than 340 thousands) non-financial companies based in Portugal, over the period 2006-2012, estimations based on bivariate probit models, which provide the simultaneous estimation of the two decisions (R&D and exports), taking into account the correlation between the estimation errors of the equations for R&D and exports, confirm there is complementarity between R&D and exports, which means that engaging in R&D activities will increase the firm's probability of engaging in export activities. Additionally, engaging in export activities will also increase the probability of engaging in R&D. The results also provide support for the hypothesis that more productive firms self-select into exporting activities and also provide support for the learning-by-exporting hypothesis. Finally, based on a panel model we further found that R&D and exports have a positive effect on sales growth, which is enhanced when both activities occur simultaneously.