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  • × year_i:[2010 TO 2020}
  • × theme_ss:"Information Resources Management"
  1. Leitfaden zum Forschungsdaten-Management : Handreichungen aus dem WissGrid-Projekt (2013) 0.01 
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    Date
    19.12.2015 11:57:22
  2. Ammann, E.: ¬A conception of knowledge and knowledge dynamics in an enterprise (2013) 0.00 
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    Abstract
    A new conception of knowledge and knowledge dynamics is introduced. lt provides a three-dimensional model of knowledge with types, kinds and qualities. Built on this knowledge conception knowledge dynamics is modeled with the help of general knowledge conversions between knowledge assets. Here knowledge dynamics is understood to cover all of acquisition, conversion, transfer development and usage of knowledge. Through this conception we gain a sound basis for knowledge management and development in an enterprise. Especially the type dimension of knowledge, which categorizes it according to its internality and externality with respect to the human being, is crucial knowledge management, because knowledge should be made available by converting it to more external types. Several areas of applicability for this conception are discussed. First a approach to knowledge-intensive business processes in an enterprise is described, be it human-driven, knowledge-driven or task-driven processes. As an example for this approach, a model of the creative activity for the renewal planning of a product is given. Second, from a more company-wide company-wide and resource- oriented perspective, the various knowledge transformations between the different intellectual capital domains of an enterprise can be modeled with this approach. Other areas of applicability of the new conception are shortly addressed and include educational and organisational psychology.
    Type
    a
  3. Yeoh, W.; Popovic, A.: Extending the understanding of critical success factors for implementing business intelligence systems (2016) 0.00 
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    Abstract
    Extant studies suggest implementing a business intelligence (BI) system is a costly, resource-intensive and complex undertaking. Literature draws attention to the critical success factors (CSFs) for implementation of BI systems. Leveraging case studies of seven large organizations and blending them with Yeoh and Koronios's (2010) BI CSFs framework, our empirical study gives evidence to support this notion of CSFs and provides better contextual understanding of the CSFs in BI implementation domain. Cross-case analysis suggests that organizational factors play the most crucial role in determining the success of a BI system implementation. Hence, BI stakeholders should prioritize on the organizational dimension ahead of other factors. Our findings allow BI stakeholders to holistically understand the CSFs and the associated contextual issues that impact on implementation of BI systems.
    Type
    a
  4. Yuan, Y.C.; Rickard, L.N.; Xia, L.; Scherer, C.: ¬The interplay between interpersonal and electronic resources in knowledge seeking among co-located and distributed employees (2011) 0.00 
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    Abstract
    In the information age, a common problem for employees is not lack of resources but rather how to sift through multiple resources, both electronic and interpersonal, to retrieve and locate true expert knowledge. The main objective of this study is hence to explore employees' simultaneous usage of both resources and to identify situations where employees showed a clear preference of interpersonal resources over electronic ones, and where employees found these two resources (a) (ir)replaceable and (b) complementary. Both qualitative interview data and quantitative social-network data were collected from a university-affiliated community educational office. Data analysis showed that (a) social relationships were crucial for seeking and gaining actual access to needed knowledge; (b) employees were task-driven in knowledge seeking and obtained different types of knowledge depending on availability; and (c) the choice between interpersonal and electronic resources was determined by the characteristics of the knowledge sought as well as such contextual factors as time, cost, and location. Additional interviews from other study contexts validated most of our findings, except those that require collection of complete social-network data. The article ends with a discussion on how organizations can better leverage their investment in human and technical resources to facilitate knowledge seeking.
    Type
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  5. Fankhauser, P.; Fiedler, N.; Witt, A.: Forschungsdatenmanagement in den Geisteswissenschaften am Beispiel der germanistischen Linguistik (2013) 0.00 
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  6. Bauer, B.; Budroni, P.; Ferus, A.; Ganguly, R.; Ramminger, E.; Sánchez Solís, B.: E-Infrastructures Austria 2014 : Bericht über das erste Jahr des Hochschulstrukturmittelprojekts für den koordinierten Aufbau und die kooperative Weiterentwicklung von Repositorieninfrastrukturen (2015) 0.00 
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  7. Budroni, P.; Ganguly, R.: E-Infrastructure Austria : eine Referenzarchitektur zur dauerhaften Bereitstellung von Daten aus der Forschung als Aufgabe für wissenschaftliche Bibliotheken (2015) 0.00 
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    Abstract
    Im Jänner 2014 wurde das nationale dreijährige HRSM-Projekt e-Infrastructures Austria initiiert. Gesamtziel ist der koordinierte Aufbau und die Weiterentwicklung von Repositorieninfrastrukturen für Forschung und Lehre in ganz Österreich sowie ein effizientes und nachhaltiges Forschungsdatenmanagement an allen teilnehmenden 20 Universitäten und fünf weiteren außeruniversitären Forschungseinrichtungen. Das Projekt gliedert sich in drei Teilprojekte, die thematisch ineinander übergreifen und/oder aufeinander aufbauen. Die Koordination erfolgt durch die Universität Wien. Bis Ende 2016 sollen drei Ziele realisiert werden: - Teilprojekt A (Ziel 1): Aufbau von Dokumentenservern auf lokaler Ebene an den Partneruniversitäten. Zweck: Aufstellung von institutionellen Repositorien an allen teilnehmenden Einrichtungen (alle österreichischen Universitäten mit Ausnahme der Medizinischen Universität Innsbruck) - Teilprojekt B (Ziel 2): Erarbeitung eines strategischen Konzepts für das zukünftige Forschungsdatenmanagement in Österreich - Teilprojekt C (Ziel 3): Aufbau einer Wissensinfrastruktur ("knowledge infrastructure") für alle 25 Projektpartner.
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  8. Sánchez Solís, B.; Budroni, P.: e-Infrastructures Austria : ein nationales Projekt für die Aufbereitung, dauerhafte Bereitstellung und Nachnutzung von Daten an wissenschaftlichen Einrichtungen (2015) 0.00 
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  9. Müller, L.; Rusnak, U.: ¬Die Datenflut im Forschungsprozess erfordert neue Informationsstrategien (2010) 0.00 
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  10. Seidler-de Alwis, R.: Informations- und Wissensmanagement im deutschen Mittelstand : Fokus "externe Informationsbeschaffung" (2011) 0.00 
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  11. Schumann, N.; Watteler, O.: Forschungsdaten in den Sozialwissenschaften (2013) 0.00 
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  12. Klar, J.; Enke, H.: Forschungsdaten in der Gruppendomäne : zwischen individuellen Anforderungen und übergreifenden Infrastrukturen (2013) 0.00 
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  13. Meyer-Doerpinghaus, U.; Tröger, B.: Forschungsdatenmanagement als Herausforderung für Hochschulen und Hochschulbibliotheken (2015) 0.00 
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  14. Lindstädt, B.: Forschungsdatenmanagement als überregionale Aufgabe der Informationsversorgung : was kann eine Zentrale Fachbibliothek wie ZB MED Leibniz-Informationszentrum Lebenswissenschaften leisten? (2015) 0.00 
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  15. Schmidt, N.: Forschungsdatenmanagement und Bibliotheken : Verortung in Kooperationsnetzwerken (2013) 0.00 
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  16. Steiner, K.: Forschungsdatenmanagement und Informationskompetenz : neue Entwicklungen an Hochschulbibliotheken Neuseelands (2015) 0.00 
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  17. Schulze, M.: Virtuelle Forschungsumgebungen und Forschungsdaten für Lehre und Forschung : Informationsinfrastrukturen für die (Natur-)Wissenschaften (2010) 0.00 
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