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  • × theme_ss:"Internet"
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  1. Agosto, D.E.: Bounded rationality and satisficing in young people's Web-based decision making (2002) 0.02 
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    Abstract
    This study investigated Simon's behavioral decisionmaking theories of bounded rationality and satisficing in relation to young people's decision making in the World Wide Web, and considered the role of personal preferences in Web-based decisions. It employed a qualitative research methodology involving group interviews with 22 adolescent females. Data analysis took the form of iterative pattern coding using QSR NUD*IST Vivo qualitative data analysis software. Data analysis revealed that the study participants did operate within the limits of bounded rationality. These limits took the form of time constraints, information overload, and physical constraints. Data analysis also uncovered two major satisficing behaviors-reduction and termination. Personal preference was found to play a major role in Web site evaluation in the areas of graphic/multimedia and subject content preferences. This study has related implications for Web site designers and for adult intermediaries who work with young people and the Web
    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.1, S.16-27
  2. Okoli, C.; Mehdi, M.; Mesgari, M.; Nielsen, F.A.; Lanamäki, A.: Wikipedia in the eyes of its beholders : a systematic review of scholarly research on Wikipedia readers and readership (2014) 0.02 
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    Date
    18.11.2014 13:22:03
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.12, S.2381-2403
  3. Griesbaum, J.; Mahrholz, N.; Kiedrowski, K. von Löwe; Rittberger, M.: Knowledge generation in online forums : a case study in the German educational domain (2015) 0.01 
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 67(2015) no.1, S.2-26
  4. Bauer, K.: Who goes where? : Measuring library Web site usage (2000) 0.00 
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    Source
    Online. 24(2000) no.3, S.25-31
  5. Griesdorf, H.; Spink, A.: Median measure : an approach to IR systems evaluation (2001) 0.00 
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    Source
    Information processing and management. 37(2001) no.6, S.843-857
  6. Heinrichs, J.H.; Lim, K.-S.; Lim, J.-S.; Spangenberg, M.A.: Determining factors of academic library Web site usage (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2325-2334
  7. 8,8 Millionen Deutsche nutzen das Internet (1998) 0.00 
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    Source
    nfd Information - Wissenschaft und Praxis. 49(1998) H.5, S.289-290
  8. Carlson, J.R.; Kacmar, C.J.: an examination of end-user preferences : Increasing link marker effectiveness for WWW and other hypermedia interfaces (1999) 0.00 
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    Source
    Journal of the American Society for Information Science. 50(1999) no.5, S.386-398
  9. Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1073-1074
  10. Jansen, B.J.; Spink, A.; Saracevic, T.: Real life, real users and real needs : a study and analysis of users queries on the Web (2000) 0.00 
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    Source
    Information processing and management. 36(2000) no.2, S.207-227
  11. Wang, P.; Hawk, W.B.; Tenopir, C.: Users' interaction with World Wide Web resources : an exploratory study using a holistic approach (2000) 0.00 
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    Source
    Information processing and management. 36(2000) no.2, S.229-251
  12. Dresang, E.T.: More research needed : informal information-seeking behavior of youth on the Internet (1999) 0.00 
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    Source
    Journal of the American Society for Information Science. 50(1999) no.12, S.1123-1124
  13. Wenzel, O.: Webdesign, Informationssuche und Flow : Nutzerverhalten auf unterschiedlich strukturierten Websites (2001) 0.00 
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    Pages
    XVIII,333 S
  14. Pu, H.-T.; Chuang, S.-L.; Yang, C.: Subject categorization of query terms for exploring Web users' search interests (2002) 0.00 
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    Abstract
    Subject content analysis of Web query terms is essential to understand Web searching interests. Such analysis includes exploring search topics and observing changes in their frequency distributions with time. To provide a basis for in-depth analysis of users' search interests on a larger scale, this article presents a query categorization approach to automatically classifying Web query terms into broad subject categories. Because a query is short in length and simple in structure, its intended subject(s) of search is difficult to judge. Our approach, therefore, combines the search processes of real-world search engines to obtain highly ranked Web documents based on each unknown query term. These documents are used to extract cooccurring terms and to create a feature set. An effective ranking function has also been developed to find the most appropriate categories. Three search engine logs in Taiwan were collected and tested. They contained over 5 million queries from different periods of time. The achieved performance is quite encouraging compared with that of human categorization. The experimental results demonstrate that the approach is efficient in dealing with large numbers of queries and adaptable to the dynamic Web environment. Through good integration of human and machine efforts, the frequency distributions of subject categories in response to changes in users' search interests can be systematically observed in real time. The approach has also shown potential for use in various information retrieval applications, and provides a basis for further Web searching studies.
    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.8, S.617-630
  15. Palmquist, R.A.; Kim, K.-S.: Cognitive style and on-line database search experience as predictors of Web search performance (2000) 0.00 
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    Source
    Journal of the American Society for Information Science. 51(2000) no.6, S.558-566
  16. Borlund, P.; Dreier, S.: ¬An investigation of the search behaviour associated with Ingwersen's three types of information needs (2014) 0.00 
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    Source
    Information processing and management. 50(2014) no.4, S.493-507
  17. Nims, J.K.; Rich, L.: How successfully do users search the Web? (1998) 0.00 
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    Source
    College and research libraries news. 59(1998) no.3, S.155-158
  18. Weichert, M.: "Gibt es auch Wahnsinn" : Benutzeruntersuchungen an einem Hamburger WebOPAC (2002) 0.00 
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    Source
    Bibliothek: Forschung und Praxis. 26(2002) H.2, S.142-149
  19. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00 
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    Journal of documentation. 66(2010) no.2, S.191-206
  20. Lazinger, S.S.; Bar-Ilan, J.; Peritz, B.C.: Internet use by faculty members in various disciplines : a comparative case study (1997) 0.00 
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    Source
    Journal of the American Society for Information Science. 48(1997) no.6, S.508-518

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