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  • × author_ss:"Skov, M."
  1. Sigaard, K.T.; Skov, M.: Applying an expectancy-value model to study motivators for work-task based information seeking (2015) 0.00 
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    Abstract
    Design/methodology/approach An operationalisation of the model is presented based on the theory of expectancy-value and on the operationalisation used when the model was first developed. Data for the analysis were collected from a sample of seven informants working as consultants in Danish municipalities. Each participant filled out a questionnaire, kept a log book for a week and participated in a subsequent interview to elicit data regarding their information source behaviour and task motivation. Findings Motivation affected source use when the informants search for information as part of their professional life. This meant that the number of sources used and the preference for interpersonal and internal sources increased when the task had high-value motivation or low-expectancy motivation or both. Research limitations/implications The study is based on a relatively small sample and considers only one motivation theory. This should be addressed in future research along with a broadening of the studied group to involve other professions than municipality consultants. Originality/value Motivational theories from the field of psychology have been used sparsely in studies of information seeking. This study operationalises and verifies such a theory based on a theoretical adaptation of this model made by Savolainen (2012c).
  2. Skov, M.; Larsen, B.; Ingwersen, P.: Inter and intra-document contexts applied in polyrepresentation for best match IR (2008) 0.00 
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    Abstract
    The principle of polyrepresentation offers a theoretical framework for handling multiple contexts in information retrieval (IR). This paper presents an empirical laboratory study of polyrepresentation in restricted mode of the information space with focus on inter and intra-document features. The Cystic Fibrosis test collection indexed in the best match system InQuery constitutes the experimental setting. Overlaps between five functionally and/or cognitively different document representations are identified. Supporting the principle of polyrepresentation, results show that in general overlaps generated by three or four representations of different nature have higher precision than those generated from two representations or the single fields. This result pertains to both structured and unstructured query mode in best match retrieval, however, with the latter query mode demonstrating higher performance. The retrieval overlaps containing search keys from the bibliographic references provide the best retrieval performance and minor MeSH terms the worst. It is concluded that a highly structured query language is necessary when implementing the principle of polyrepresentation in a best match IR system because the principle is inherently Boolean. Finally a re-ranking test shows promising results when search results are re-ranked according to precision obtained in the overlaps whilst re-ranking by citations seems less useful when integrated into polyrepresentative applications.
    Source
    Information processing and management. 44(2008) no.5, S.1673-1683

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