Sheila A. Martin

Sustainability, Clusters, and Competitiveness: Introduction to Focus Section

A server receives a SYN packet and generates a SYN packet signature from the SYN packet. The server generates multiple aggregate signatures for the SYN packet signature that each include a generalized value for at least one element, where each aggregate signature has a different level of specificity and corresponds with a different fingerprint table. The server sequentially iterates through the fingerprint tables starting with the most specific aggregate signature and the most specific fingerprint table until a match exceeding a counter threshold is found, if any. If an aggregate signature does not match a fingerprint in a fingerprint table, the aggregate signature is added to that fingerprint table and an initial value for the counter is set. A bytecode using an attack fingerprint as input is generated in a form understandable by a network filter, and installed in a network filter.

The Structure of Policy-Induced Innovation Networks in Slovenia

Purpose – The recent economic crisis has significantly slowed Slovenia’s recent social and economic progress and exposed some important long-term problems such as a reliance on low value added industries and lagging labor productivity. The Slovenian government has taken steps to create research partnerships between public science and the private sector and among multiple private sector companies. The purpose of this paper is to conduct a social network analysis (SNA) of the research partnerships and examine whether public funding has created the desired partnerships. Design/methodology/approach – The authors employed a SNA in two stages. In the first stage, the authors treated the founding partners of government-funded 32 research centers as a single two-mode network and investigated how each of the members was bound to the network. In the second stage of the analysis the authors used project data from ten of the centers to characterize a project network based on collaborations on specific projects. Thus,...

Antecedents and determinants of high-tech SMEs’ commercialisation enablers: opening the black box of open innovation practices

Abstract Innovation activities have become globalised and open in ways that were unimaginable 20 years ago. These changes have brought new insight into research on innovation activities and specific innovation practices in organisations, including that previous research largely ignored small and medium-sized enterprises (SMEs). This paper tests a variance-based structural equation model (SEM) for selected antecedents and determinants of commercialisation enablers on a sample of 105 SMEs from Slovenia – a small, open, post-transition economy with a dominant SME sector. The main contribution of the paper lies in testing how two specific open innovation practices (open innovation information exchange and open innovation collaboration) impact the commercialisation enablers of high-tech SMEs through their innovation activities (antecedent) and their innovativeness (determinant). Both open innovation practices show statistically significant effect on high-tech SMEs’ innovativeness, thus supporting the idea that both collaboration and information exchange lead to more innovativeness in high-tech SMEs. They also show a high impact of internal (organisational) factors on innovation activities of and a high impact of innovativeness on the commercialisation enablers of high-tech SMEs.