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  1. Digital innovation
    innovation processes in virtual clusters and digital regions
    Autor*in:
    Erschienen: c2003
    Verlag:  Imperial College Press, London

    Ch. 1. Industrial clusters in the net-economy: empirical evidence and some theoretical approaches / Giuseppina Passiante. 1.1. Introduction. 1.2. Some seminal and consolidated approaches to the analysis of industrial clusters. 1.3. Emerging virtual... mehr

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    Standort:
    Hochschule Aalen, Bibliothek
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    E-Book EBSCO
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    Südwestdeutscher Bibliotheksverbund (SWB)

    Standort:
    Hochschule Esslingen, Bibliothek
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    Standort:
    Kühne Logistics University – KLU, Bibliothek
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    Standort:
    Otto-von-Guericke-Universität, Universitätsbibliothek
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    eBook EBSCO AC
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    Standort:
    Hochschule Offenburg, University of Applied Sciences, Bibliothek Campus Offenburg
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    Saarländische Universitäts- und Landesbibliothek
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    Standort:
    Universitätsbibliothek der Eberhard Karls Universität
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    Ch. 1. Industrial clusters in the net-economy: empirical evidence and some theoretical approaches / Giuseppina Passiante. 1.1. Introduction. 1.2. Some seminal and consolidated approaches to the analysis of industrial clusters. 1.3. Emerging virtual industrial clusters: some empirical evidence. 1.4. VCs as new patterns of economic activity: towards the virtual innovation system. 1.5. Conclusions -- ch. 2. A strategy to sustain the development processes of a "smart community" in the digital economy / Valerio Elia. 2.1. Introduction. 2.2. A new techno-economic paradigm: the digital economy. 2.3. The conceptual framework for setting up a smart community. 2.4. The "smart community" model. 2.5. Conclusions -- ch. 3. A knowledge hub for regional development / Mario Marinazzo. 3.1. Introduction. 3.2. Leadership in regional innovation. 3.3. The cycle of regional innovation leadership (RIL). 3.4. An outline of the values proposed for the regional development-oriented knowledge hub (KH) initiative. 3.5. The regional development-oriented knowledge hub: main functions. 3.6. Conclusions -- ch. 4. Net economy business models for SMEs operating in fragmented markets / Tommaso Massari. 4.1. Introduction. 4.2. The "OpenMarkets" model for European SMEs. 4.3. A federated-distributed model for the tourism sector -- ch. 5. Knowledge leadership to drive digital innovation / Giuseppina Passiante and Valerio Elia. 5.1. Introduction. 5.2. The emerging competitive environment of the digital economy. 5.3. Re-thinking the conventional theories. 5.4. Digital innovation calls for knowledge leadership. 5.5. Digital innovation processes driven by knowledge leadership. 5.6. Creating knowledge leadership for digital innovation: the eBMS experiment. 5.7. Conclusions. This book presents: the results of an empirical analysis of the new phenomenon of virtual clusters (VCs), which highlight the dynamics of these emerging innovation networks in the digital economy and the challenges that this dynamics represents for the conventional theories, which are unable to define a comprehensive framework that supports the development of these networks; an overview of the most significant theoretical approaches to innovation networks, and their rethinking in the digital economy scenario. Following a neo-Schumpeterian approach, a particular focus is on the opportunity to integrate the economic benefits coming from the geographical proximity, with the advantages related to the "organizational proximity" allowed by the ICT networks; the constituent points of a strategy aimed at sustaining the developing processes of a VC in a drawback region, and a description of the e-Salento project, an application of this strategy to an Italian drawback region, the Salento. Some general implications of the project for theory and practice are also discussed; and the architecture and the master plan of two initiatives within the e-Salento project, concerning the agribusiness and tourism sectors. A model of leadership, to guide innovation in an organisation competing in the digital economy, including both firms and regions. The perspective advanced in this work addresses issues concerned with VC growth and regions' economic development processes that are common to both the regional studies and the innovation management literature; the text represents an important empirically grounded contribution to them. Furthermore, several scholars argue that new development models are emerging for firms and regions. There is a lack of published work that provides empirical grounding and/or analytical models of firms' and regions' development processes in the Net Economy

     
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  2. Cluster analysis for corpus linguistics
    Autor*in: Moisl, Hermann
    Erschienen: 2015
    Verlag:  De Gruyter Mouton, Berlin [u.a.]

    The rapidly growing volume of digital natural language text and the complexity of data abstracted from it have increasingly rendered traditional corpus linguistic analytical methodology obsolete. This book describes a cluster analytic methodology for... mehr

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    Universitätsbibliothek Kiel, Zentralbibliothek
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    Standort:
    Hochschulbibliothek Friedensau
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    Online-Ressource
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    The rapidly growing volume of digital natural language text and the complexity of data abstracted from it have increasingly rendered traditional corpus linguistic analytical methodology obsolete. This book describes a cluster analytic methodology for generating linguistic hypotheses on the basis of data abstracted from language corpora. Hermann Moisl, Newcastle University, Newcastle upon Tyne, UK. The rapidly growing volume of digital natural language text and the complexity of data abstracted from it have increasingly rendered traditional corpus linguistic analytical methodology obsolete. This book describes a cluster analytic methodology for generating linguistic hypotheses on the basis of data abstracted from language corpora

     
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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783110363814
    RVK Klassifikation: ES 900
    Schriftenreihe: Quantitative Linguistics [QL] ; v.66
    Schlagworte: Korpus <Linguistik>; Cluster <Datenanalyse>;
    Umfang: Online-Ressource (XV, 381 S.)
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    Description based upon print version of record

    Preface; Contents; List of figures; 1. Introduction; 2. Motivation; 3. Data; 4. Cluster; 5. Hypothesis generation; 6. Literature Review; 7. Conclusion; 8. Appendix; References; Subject index