The Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. Abstract In this paper we examine how foreign actors capitalize on their ethnic identity to gain skills and capabilities that enable them to operate in a new and strange environment. We explore the mechanisms by which Bulgarian entrepreneurs in London use their ethnic identity to develop competitive advantage and business contacts. We find that the entrepreneurs studied gain access to a diaspora network, which enables them to develop essential business capabilities and integrate knowledge from both home and host country environments. The diaspora community possesses a collective asset (transactive memory) that allows its members to remove competition from the interfirm level to the network level (i.e., diaspora networks vs. networks of native businesspeople). Additionally, the cultural identity and networks to which community members have access provide bridging capabilities that allow diaspora businesspeople to make links to host country business partners and thus embed themselves in the host country environment. Thus, this paper adds to the growing body of work showing how foreignness can serve as an asset in addition to its better-known role as a liability.
RESEARCH ARTICLE
Bulgarian migrant entrepreneurs (MEs) approaching diaspora networks (i.e. ethnic spaces in host countries) provides a unique context for exploring the processes by which peripheral actors achieve embeddedness. The study considers how in‐group social norms and expectations influence out‐group candidates’ network standing. The integration of the social identity perspective with embeddedness research allows the identification of the sequence of intergroup actions and the circulation of identity signals between groups. Traditionally, the social identity perspective focuses on the act of constructing identity through positively stereotyping in‐groups and negatively stereotyping out‐groups. Nevertheless, an empirical study of 12 cases of Bulgarian MEs indicates that the circulation of identity signals that facilitate inter‐group comparison can result in complementarity and brokerage. The study suggests the existence of a novel strategy (i.e. social circulation), to add to already known social identity strategies (i.e. social mobility, social creativity and social change). In contrast to previous constructs, the new one does not occur at the expense of either in‐groups’ or out‐groups’ identity. Thus, it adopts an integrative logic, currently missing from the social identity perspective.
EEG-based brain-machine interfaces offer an alternative means of interact with the environment relying solely on interpreting brain activity. They can not only significantly improve the life quality of people with neuromuscular disabilities, but also present a wide range of opportunities for industrial and commercial applications. This work focuses on the development of a real-time brain-machine interface based on processing and classification of motor imagery EEG signals. The goal was to develop a fast and reliable system that can function in everyday noisy environments. To achieve this, various filtering, feature extraction, and classification methods were tested on three data sets, two of which were recorded in a noisy public setting. Results suggested that the tested linear classifier, paired with band power features, offers higher robustness and similar prediction accuracy, compared to a non-linear classifier based on recurrent neural networks. The final configuration was also successfully tested on a real-time system.
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