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2013
Journal Article
Titel
Designing analytical approaches for interactive competitive intelligence
Abstract
In recent years, the study of regional knowledge bases has benefited from the introduction of measures on the relatedness between its constituting elements (HIDALGO et al. 2007), allowing for detailed analysis of variety in regions and its visualization as knowledge spaces (KOGLER et al. 2013). However, these studies have focused on technological knowledge, despite the growing importance of symbolic knowledge (ASHEIM et al. 2011). This contribution aims at applying the analysis of knowledge spaces and relatedness to the context of symbolic knowledge by the example of the evolution of music scenes. It is used to test whether or not the degree of variety in a music scene is linked to innovation in music, asking: Where do new genres and combinations emerge: In specialized scenes such as Berlins or in diverse settings found in New York or London? In our database acquired from the website last.fm on 8769 artists originating from 33 cities and active from 1970-2015, social tagging data constitute music genres as bits of symbolic knowledge. Co-occurrences of genres that artists are tagged with allow for computing a relatedness matrix between genres (HIDALGO et al. 2007) that is used to compute knowledge spaces and average relatedness measures (KOGLER et al. 2013) of urban music scenes. Furthermore, by deriving a genre classification system from the data, we can characterize music scenes by their unrelated variety, semi-related variety and related variety (CASTALDI et al. 2015). Results show that semi-related variety, but not average relatedness is linked to innovation in symbolic knowledge. (PDF) Relatedness and innovation in urban music scenes: The evolution of symbolic knowledge spaces, 1970-2015. Available from: https://www.researchgate.net/publication/315932979/download [accessed Sep 17 2018]. Since Porters work on competitive strategies in the 1980s, the concept of competitive intelligence has become part of the management mainstream. Currently, two big shifts are challenging the state of the art. On the one hand there is the rise of the ubiquitous servicification in all industries which makes the existing methods for product-oriented industries outdated. On the other hand there is the rise of big data (volume, velocity, variety). Both shifts are driving the development towards interactive competitive intelligence systems. The authors introduced a framework for interactive competitive intelligence systems which overcome the sequential water-fall processes which are current CI practice. In the introduced framework they combine the concept of Key Intelligence Topics (KIT) with the concept of (boundary) objects from interaction theory. The authors demonstrated with examples within their IP Industry Base how interactive CI for service-oriented sectors can be implemented. The resulting vector-based representations of the companies service profiles allow the user to visualize, compare, retrieve and analyse companies in a constructive and scalable way.
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Der Begriff der Resilienz erfährt aktuell eine starke Resonanz in der Wirtschaftsgeographie. Das Platzen der Dotcom-Blase und die Finanz- und Wirtschaftskrise Ende der 2000er Jahre werfen Fragen dazu auf, wie ökonomische Krisen entstehen und wie sie vermieden oder gemeistert werden können. Auch Herausforderungen des Klimawandels, der Ressourcenverknappung oder des demographischen Wandels wirken sich auf ökonomische Systeme aus. Staaten und Regionen sind von Krisen nicht nur in unterschiedlichem Maße betroffen, auch ihre Reaktionen darauf unterscheiden sich erheblich. Einige gehen gestärkt aus Krisen hervor, andere werden in ihrer Entwicklung zurückgeworfen, und wieder andere scheinen kaum betroffen zu sein. Ist dieser Umstand begründet in einer unterschiedlich starken Resilienz? Und wenn j a, welche Prozesse bedingen oder beeinflussen eine mehr oder weniger starke Resilienz von räumlichen Einheiten?