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Exploratory information searching in the enterprise: A study of user satisfaction and task performance
Author(s) -
Cleverley Paul H.,
Burnett Simon,
Muir Laura
Publication year - 2017
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23595
Subject(s) - task (project management) , exploratory search , exploratory research , knowledge management , information seeking , computer science , psychology , information retrieval , engineering , systems engineering , sociology , anthropology
No prior research has been identified that investigates the causal factors for workplace exploratory search task performance. The impact of user, task, and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and gas enterprise. Some participants found 75% of high‐value items, others found none, with an average of 27%. No association was found between self‐reported search expertise and task performance, with a tendency for many participants to overestimate their search expertise. Successful searchers may have more accurate mental models of both search systems and the information space. Organizations may not have effective exploratory search task performance feedback loops, a lack of learning . This may be caused by management bias towards technology, not capability , a lack of systems thinking . Furthermore, organizations may not “know” they “don't know” their true level of search expertise, a lack of knowing . A metamodel is presented identifying the causal factors for workplace exploratory search task performance. Semistructured qualitative interviews with search staff from the defense, pharmaceutical, and aerospace sectors indicates the potential transferability of the finding that organizations may not know their search expertise levels.