Applying an Information Problem-solving Model to Academic Reference Work: Findings and Implications | Zendy

Janet R. Cottrell | Zendy; Michael B. Eisenberg | Zendy

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Applying an Information Problem-solving Model to Academic Reference Work: Findings and Implications

Author(s) -

Janet R. Cottrell,

Michael B. Eisenberg

Publication year - 2001

Publication title -

college and research libraries

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.886

H-Index - 52

eISSN - 2150-6701

pISSN - 0010-0870

DOI - 10.5860/crl.62.4.334

Subject(s) - categorization , computer science , process (computing) , work (physics) , information retrieval , information system , reference model , academic library , knowledge management , data science , library science , artificial intelligence , political science , software engineering , engineering , mechanical engineering , law , operating system

The usefulness of the EisenbergñBerkowitz Information Problem-Solv- ing model as a useful categorization for academic reference encounters is examined. Major trends in the data include a high proportion of ques- tions about location and access of sources, a lack of synthesis or pro- duction activities, and a consistent presence of system problems (such as hardware problems) that impede the information-seeking process. The implications of these trends for the reference process, librarian train- ing, and campus organization are discussed.

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