Search (21 results, page 1 of 2)

  • × theme_ss:"Informationsdienstleistungen"
  • × year_i:[2010 TO 2020}
  1. Smith, C.L.; Matteson, M.L.: Information literacy in the age of machines that learn : desiderata for machines that teach (2018) 0.02 
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    Abstract
    With the use of machine learning and other advances, modern information search systems make it easy for searchers to access information to meet their most frequent information needs. Building from Kuhlthau's concepts of exploration and differentiating, this article argues that along with the benefits of greater accessibility, these advances impede the development of information literacy, conceptualized as processes for planning, accessing, judging and communicating information. It is argued that information literacy emerges during interaction with search systems and modern system designs hide or render unworkable the contextual information needed for the judgment processes of information literacy. In response to these concerns, the article contributes desiderata for new designs that facilitate the discovery, navigation and use of context information.
    Date
    16. 3.2019 14:33:22
  2. Lercher, A.: Efficiency of scientific communication : a survey of world science (2010) 0.02 
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    Abstract
    The aim of this study was to measure the efficiency of the system by which scientists worldwide communicate results to each other, providing one measure of the degree to which the system, including all media, functions well. A randomly selected and representative sample of 246 active research scientists worldwide was surveyed. The main measure was the reported rate of "late finds": scientific literature that would have been useful to scientists' projects if it had been found at the beginning of these projects. The main result was that 46% of the sample reported late finds (±6.25%, p0.05). Among respondents from European Union countries or other countries classified as "high income" by the World Bank, 42% reported late finds. Among respondents from low- and middle-income countries, 56% reported late finds. The 42% rate in high-income countries in 2009 can be compared with results of earlier surveys by Martyn (1964a, b, 1987). These earlier surveys found a rate of 22% late finds in 1963-1964 and a rate of 27% in 1985-1986. Respondents were also queried about search habits, but this study failed to support any explanations for this increase in the rate of late finds. This study also permits a crude estimate of the cost in time and money of the increase in late finds.
  3. Fidel, R: Human information interaction : an ecological approach to information behavior (2012) 0.02 
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    RSWK
    Informationsverhalten / Information Retrieval / Mensch-Maschine-Kommunikation
    Subject
    Informationsverhalten / Information Retrieval / Mensch-Maschine-Kommunikation
  4. Ford, N.: Introduction to information behaviour (2015) 0.01 
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    Date
    22. 1.2017 16:45:48
  5. Bertram, J.: Stand der unternehmensweiten Suche in österreichischen Großunternehmen (2013) 0.01 
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    Abstract
    Dass eine erfolgreiche Suche nach im Unternehmen vorhandenen Informationen oftmals schwieriger zu bewerkstelligen ist als eine Suche im Internet, wird in der Privatwirtschaft zunehmend als Problem gesehen. Enterprise Search ist eine Strategie, diesem Problem zu begegnen. In einer Studie mit explorativem Charakter wurde der Frage nachgegangen, wie es um den Stand unternehmensweiten Suche in österreichischen Unternehmen bestellt ist. m Rahmen einer Onlinebefragung wurden dazu im März / April 2009 469 Unternehmen befragt. Es beteiligten sich 104 Unternehmen. Das entspricht einem Rücklauf von 22 %. Dieser Beitrag gibt Auskunft über Status quo der unternehmensweiten Informationsorganisation und -suche in Österreich und benennt unternehmens- bzw. personengebundene Faktoren, die darauf Einfluss haben. Im einzelnen werden Ergebnisse zu folgenden Aspekten präsentiert: Regelung der Informationsorganisation; Anreicherung unstrukturierter Informationen mit Metadaten; Probleme bei der Suche nach unternehmensinternen Informationen; täglicher Zeitaufwand für die Suche; vorhandene, wünschenswerte und benötigte Suchfunktionalitäten; Zufriedenheit mit der Suche und der Informationsorganisation Unternehmen.
    Date
    22. 1.2016 19:00:02
  6. Meier, F.: Informationsverhalten in Social Media (2015) 0.01 
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    Source
    Information - Wissenschaft und Praxis. 66(2015) H.1, S.22-28
  7. Bertram, J.: Informationen verzweifelt gesucht : Enterprise Search in österreichischen Großunternehmen (2011) 0.01 
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    Abstract
    Die Arbeit geht dem Status quo der unternehmensweiten Suche in österreichischen Großunternehmen nach und beleuchtet Faktoren, die darauf Einfluss haben. Aus der Analyse des Ist-Zustands wird der Bedarf an Enterprise-Search-Software abgeleitet und es werden Rahmenbedingungen für deren erfolgreiche Einführung skizziert. Die Untersuchung stützt sich auf eine im Jahr 2009 durchgeführte Onlinebefragung von 469 österreichischen Großunternehmen (Rücklauf 22 %) und daran anschließende Leitfadeninterviews mit zwölf Teilnehmern der Onlinebefragung. Der theoretische Teil verortet die Arbeit im Kontext des Informations- und Wissensmanagements. Der Fokus liegt auf dem Ansatz der Enterprise Search, ihrer Abgrenzung gegenüber der Suche im Internet und ihrem Leistungsspektrum. Im empirischen Teil wird zunächst aufgezeigt, wie die Unternehmen ihre Informationen organisieren und welche Probleme dabei auftreten. Es folgt eine Analyse des Status quo der Informati-onssuche im Unternehmen. Abschließend werden Bekanntheit und Einsatz von Enterprise-Search-Software in der Zielgruppe untersucht sowie für die Einführung dieser Software nötige Rahmenbedingungen benannt. Defizite machen die Befragten insbesondere im Hinblick auf die übergreifende Suche im Unternehmen und die Suche nach Kompetenzträgern aus. Hier werden Lücken im Wissensmanagement offenbar. 29 % der Respondenten der Onlinebefragung geben zu-dem an, dass es in ihren Unternehmen gelegentlich bis häufig zu Fehlentscheidungen infolge defizitärer Informationslagen kommt. Enterprise-Search-Software kommt in 17 % der Unternehmen, die sich an der Onlinebefragung beteiligten, zum Einsatz. Die durch Enterprise-Search-Software bewirkten Veränderungen werden grundsätzlich posi-tiv beurteilt. Alles in allem zeigen die Ergebnisse, dass Enterprise-Search-Strategien nur Erfolg haben können, wenn man sie in umfassende Maßnahmen des Informations- und Wissensmanagements einbettet.
    Date
    22. 1.2016 20:40:31
  8. Vlaeminck, S.; Wagner, G.G.: Ergebnisse einer Befragung von wissenschaftlichen Infrastrukturdienstleistern im Bereich der Sozial- und Wirtschaftswissenschaften : Zur Rolle von Forschungsdatenzentren beim Management von publikationsbezogenen Forschungsdaten (2014) 0.01 
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    Abstract
    Im vorliegenden Beitrag werden die Ergebnisse einer Analyse zusammengefasst, in der untersucht wurde, ob, und wenn ja welche Services für das Management von publikationsbezogenen Forschungsdaten gegenwärtig bei wissenschaftlichen Infrastrukturdienstleistern in den Sozial- und Wirtschaftswissenschaften bestehen. Die Analyse wurde Mithilfe von Desktop-Research sowie einer Online-Befragung, an der sich 22 von 46 angeschriebenen Institutionen beteiligten, durchgeführt. Untersucht wurden vor allem deutsche und europäische Forschungsdatenzentren, Bibliotheken und Archive. Insbesondere wurde untersucht, ob diese Organisationen extern erzeugte Forschungsdaten, den dazugehörigen Berechnungscode (Syntax) und ggf. genutzte (selbstgeschriebene) Software grundsätzlich speichern und hosten. Weitere Themenfelder waren Metadatenstandards, Persistente Identifikatoren, Verfügbarkeit von Schnittstellen (APIs) und Unterstützung von semantischen Technologien.
  9. Knoll, A.: Kompetenzprofil von Information Professionals in Unternehmen (2016) 0.01 
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    Date
    28. 7.2016 16:22:54
  10. Balatsoukas, P.; Demian, P.: Effects of granularity of search results on the relevance judgment behavior of engineers : building systems for retrieval and understanding of context (2010) 0.01 
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    Abstract
    Granularity is a novel concept for presenting information in search result interfaces of hierarchical query-driven information retrieval systems in a manner that can support understanding and exploration of the context of the retrieved information (e.g., by highlighting its position in the granular hierarchy and exposing its relationship with relatives in the hierarchy). Little research, however, has been conducted on the effects of granularity of search results on the relevance judgment behavior of engineers. Engineers are highly motivated information users who are particularly interested in understanding the context of the retrieved information. Therefore, it is hypothesized that the design of systems with careful regard for granularity would improve engineers' relevance judgment behavior. To test this hypothesis, a prototype system was developed and evaluated in terms of the time needed for users to find relevant information, the accuracy of their relevance judgment, and their subjective satisfaction. To evaluate the prototype, a user study was conducted where participants were asked to complete tasks, complete a satisfaction questionnaire, and be interviewed. The findings showed that participants performed better and were more satisfied when the prototype system presented only relevant information in context. Although this study presents some novel findings about the effects of granularity and context on user relevance judgment behavior, the results should be interpreted with caution. For example, participants in this research were recruited by convenience and performed a set of simulated tasks as opposed to real ones. However, suggestions for further research are presented.
  11. Maibach, C.; Heinrich, Axel; .; Schulz, J.: Fallbasiertes Lernen mit CaseTrain : Umsetzung und Einsatz zur Vermittlung von Informationskompetenz an der Universitätsbibliothek Würzburg (2011) 0.01 
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    Abstract
    Eines der Schlagwörter, das die Hochschullehre in den letzten Jahren für sich entdeckt hat, ist das Blended Learning. Nach einer Ernüchterung über das Potential von eLearning, setzte sich die Idee der Kombination aus Präsenzlehre und eLearning immer stärker durch. Die Entstehung zahlreicher universitärer eLearning und Blended-Learning-Zentren tritt den Beweis dafür an, dass die Ergänzung des herkömmlichen Hochschulunterrichts durch eLearning-Einheiten nicht mehr nur das Steckenpferd einiger technikaffiner Dozenten ist, sondern weitreichende Akzeptanz an Hochschulen gefunden hat. Die Universität Würzburg hat 2007 mit dem Beginn ihres Blended-Learning-Projekts entschieden, der Hochschuldidaktik einen höheren Stellenwert einzuräumen und der Entwicklung neuer Systeme damit Tür und Tor zu öffnen. Inzwischen ist nicht nur die Lernplattform Moodle unter der Bezeichnung WueCampus universitätsweit etabliert. Im Zuge des Blended-Learning-Projekts wurde auch ein computerbasiertes System für fallbasierte Trainingseinheiten (CaseTrain) entwickelt, das die Präsenzlehre in fast allen Fakultäten unterstützt und damit problembasiertes Lernen aus der Medizin und den Rechtswissenschaften in andere Fakultäten trägt. Auch die Universitätsbibliothek hat schnell das Potential dieser Software für die Vermittlung von Informationskompetenz erkannt und setzt das System seit 2008 mit zunehmender Akzeptanz bei den Studierenden ein.
  12. Lou, J.; Fang, Y.; Lim, K.H.; Peng, J.Z.: Contributing high quantity and quality knowledge to online Q&A communities (2013) 0.01 
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    Abstract
    This study investigates the motivational factors affecting the quantity and quality of voluntary knowledge contribution in online Q&A communities. Although previous studies focus on knowledge contribution quantity, this study regards quantity and quality as two important, yet distinct, aspects of knowledge contribution. Drawing on self-determination theory, this study proposes that five motivational factors, categorized along the extrinsic-intrinsic spectrum of motivation, have differential effects on knowledge contribution quantity versus quality in the context of online Q&A communities. An online survey with 367 participants was conducted in a leading online Q&A community to test the research model. Results show that rewards in the reputation system, learning, knowledge self-efficacy, and enjoy helping stand out as important motivations. Furthermore, rewards in the reputation system, as a manifestation of the external regulation, is more effective in facilitating the knowledge contribution quantity than quality. Knowledge self-efficacy, as a manifestation of intrinsic motivation, is more strongly related to knowledge contribution quality, whereas the other intrinsic motivation, enjoy helping, is more strongly associated with knowledge contribution quantity. Both theoretical and practical implications are discussed.
  13. Plieninger, J.: Informationskompetenz online vermitteln : eTeaching für OPLs (2011) 0.01 
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    Date
    29. 5.2012 14:20:22
    Source
    ¬Die Kraft der digitalen Unordnung: 32. Arbeits- und Fortbildungstagung der ASpB e. V., Sektion 5 im Deutschen Bibliotheksverband, 22.-25. September 2009 in der Universität Karlsruhe. Hrsg: Jadwiga Warmbrunn u.a
  14. Cole, C.; Behesthi, J.; Large, A.; Lamoureux, I.; Abuhimed, D.; AlGhamdi, M.: Seeking information for a middle school history project : the concept of implicit knowledge in the students' transition from Kuhlthau's Stage 3 to Stage 4 (2013) 0.01 
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    Date
    22. 3.2013 19:41:17
  15. Bodoff, D.; Raban, D.: Question types and intermediary elicitations (2016) 0.01 
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    Date
    22. 1.2016 11:58:25
  16. Chew, S.W.; Khoo, K.S.G.: Comparison of drug information on consumer drug review sites versus authoritative health information websites (2016) 0.01 
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    Date
    22. 1.2016 12:24:05
  17. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35
  18. Jaskolla, L.; Rugel, M.: Smart questions : steps towards an ontology of questions and answers (2014) 0.01 
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    Date
    9. 2.2017 19:22:59
  19. Lin, S.; Xie, I.: Behavioral changes in transmuting multisession successive searches over the web (2013) 0.01 
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    Abstract
    Multisession successive information searches are common but little research has focused on quantitative analysis. This article enhances our understanding of successive information searches by employing an experimental method to observe whether and how the behavioral characteristics of searchers statistically significantly changed over sessions. It focuses on a specific type of successive search called transmuting successive searches, in which searchers learn about and gradually refine their information problems during the course of the information search. The results show that searchers' behavioral characteristics indeed exhibit different patterns in different sessions. The identification of the behavioral characteristics can help information retrieval systems to detect stages or sessions of the information search process. The findings also help validate a theoretical framework to explain successive searches and suggest system requirements for supporting the associated search behavior. The study is one of the first to not only test for statistical significance among research propositions concerning successive searches but to also apply the research principles of implicit relevance feedback to successive searches.
  20. Zhang, X.; Liu, J.; Cole, M.; Belkin, N.: Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors (2015) 0.00 
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    Abstract
    User domain knowledge affects search behaviors and search success. Predicting a user's knowledge level from implicit evidence such as search behaviors could allow an adaptive information retrieval system to better personalize its interaction with users. This study examines whether user domain knowledge can be predicted from search behaviors by applying a regression modeling analysis method. We identify behavioral features that contribute most to a successful prediction model. A user experiment was conducted with 40 participants searching on task topics in the domain of genomics. Participant domain knowledge level was assessed based on the users' familiarity with and expertise in the search topics and their knowledge of MeSH (Medical Subject Headings) terms in the categories that corresponded to the search topics. Users' search behaviors were captured by logging software, which includes querying behaviors, document selection behaviors, and general task interaction behaviors. Multiple regression analysis was run on the behavioral data using different variable selection methods. Four successful predictive models were identified, each involving a slightly different set of behavioral variables. The models were compared for the best on model fit, significance of the model, and contributions of individual predictors in each model. Each model was validated using the split sampling method. The final model highlights three behavioral variables as domain knowledge level predictors: the number of documents saved, the average query length, and the average ranking position of the documents opened. The results are discussed, study limitations are addressed, and future research directions are suggested.

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