1,721,117 research outputs found
The knowledge complexity of the European metropolitan areas: Selecting and Clustering Their Hidden Features
No full textCities are key places of economic activity, as they produce an enormous amount of wealth compared to the land they cover. Their study is, therefore, of primary importance in understanding the success of nations. Given the many interactions among people that happen within them, cities are well described as complex evolving systems, and a thorough analysis of their economy should be able to
deal with this complexity. A likely candidate to grasp the reality of complex evolving systems, such as the economy of cities, is the Economic Complexity framework, given its capacity to synthesize a large amount of information into a
single index.
We use patent data to compute the Knowledge Complexity Index (KCI) of European metropolitan areas and describe their economy in terms of their innovative potential. Interpreted as a dimensionality-reduction algorithm, as
proposed by Mealy et al., KCI helps to filter out the background noise from the abundant information produced by the interactions that happen within cities. By extending the work by van Dam et al., we highlight the relevance of going beyond the first leading eigenvector, to the analysis of which the rest of the
literature is limited. We define clusters of similar cities, based on the additional dimensions obtained through this dimensionality-reduction procedure. The introduction of clusters dramatically increases the predicting power of KCI. Under this lens, the Economic Complexity framework is more than a single index: it is a powerful methodology to reveal the organized complexity hidden behind the
large amount of chaotic information produced by out-of-equilibrium economic systems such as cities
Playfulness, ideology and the technology of foolishness in the creation of a novel market niche for distributed control: The case of iPLON
Full text linkDistributed control is a technology and a design philosophy that, albeit superior to centralized control, cannot spread because it would require restructuring existing industries. It survives, however, in specific market niches. In this case-study we report on a small firm creating a novel market niche for distributed control. It is an engineering firm, where commitment to a fascinating technology generates the ability to turn serendipitous encounters into business opportunities. Because of deep beliefs motivating people to commit their lives in spite of substantial difficulties, we speak of a technological ideology. We submit that, in this case, a technological ideology is key to explain the ability to explore novel possibilities, or the technology of foolishness according to James March
Investigating innovation strategies in an artificial industry
No full textInvestigating innovation strategies in an artificial industry / Andreas Pyka ; Uwe Cantner. - In: Technology and knowledge / ed. by Pier Paolo Saviotti ... - Cheltenham u.a. : Elgar, 2000. - S. 17-4
Investigating innovation strategies in an artificial industry
No full textInvestigating innovation strategies in an artificial industry / Andreas Pyka ; Uwe Cantner. - In: Technology and knowledge / ed. by Pier Paolo Saviotti ... - Cheltenham u.a. : Elgar, 2000. - S. 17-4
Investigating innovation strategies in an artificial industry
No full textInvestigating innovation strategies in an artificial industry / Andreas Pyka ; Uwe Cantner. - In: Technology and knowledge / ed. by Pier Paolo Saviotti ... - Cheltenham u.a. : Elgar, 2000. - S. 17-4
Innovation networks: theory and practice
No full textInnovation networks : theory and practice / ed. by Andreas Pyka ... - Cheltenham [u.a.] : Elgar, 2002. - XIII, 232 S. - (New horizons in the economics of innovation
Applied simulation analysis: editorial introduction
No full textApplied simulation analysis / guest editor: Andreas Pyka. - In: The journal of artificial societies and social simulation [Elektronische Ressource]. 4. 2001. Issue
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Technologieevolution: eine Analyse im Rahmen des "Knowledge"-Ansatzes der Innovationstheorie
Full text linkTechnologie-Evolution / Andreas Pyka ; Uwe Cantner. - In: Studien zur evolutorischen Ökonomik. - Berlin : Duncker & Humblot. - 4. Evolutorische Makroökonomik, Nachhaltigkeit und Institutionenökonomik. - 2001. - S. 67-96. - (Schriften des Vereins für Socialpolitik, Gesellschaft für Wirtschafts- und Sozialwissenschaften / Neue Folge ; 195,4
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