Search results

The purpose of this paper is to study what extent readers’ socio-demographic characteristics, literary preferences and search behavior predict success in fiction search in library catalogs.

In total, 80 readers searched for interesting novels in four differing search tasks. Their search actions were recorded with a Morae Recorder. Pre- and post-questionnaires elicited information about their background, literary preferences and search experience. Readers’ literary preferences were grouped into four orientations by a factor analysis. Linear regression analysis was applied for predicting search success as measured by books’ interest scores.

Most literary orientations contributed to search success, but in differing search tasks. The role of result examination was greater compared to querying in contributing search success almost in each task. The proportion of variance explained in books’ interest scores varied between 5 (open-ended browsing) and 50 percent (analogy search).

The distribution of participants was biased toward females, and the results are aggregated within search session, both reducing the variation of the phenomenon observed.

This study is one of the first to explore how readers’ literary preferences and searching are associated with finding interesting novels, i.e. search success, in library catalogs. The results expand and support the findings in Mikkonen and Vakkari (2017) concerning associations between reader characteristics and fiction search success.

The purpose of this paper is to characterize library and information science (LIS) as fragmenting discipline both historically and by applying Whitley’s (1984) theory about the organization of sciences and Fuchs’ (1993) theory about scientific change.

The study combines historical source analysis with conceptual and theoretical analysis for characterizing LIS. An attempt is made to empirically validate the distinction between LIS context, L&I services and information seeking as fragmented adhocracies and information retrieval and scientific communication (scientometrics) as technologically integrated bureaucracies.

The origin of fragmentation in LIS due the contributions of other disciplines can be traced in the 1960s and 1970s for solving the problems produced by the growth of scientific literature. Computer science and business established academic programs and started research relevant to LIS community focusing on information retrieval and bibliometrics. This has led to differing research interests between LIS and other disciplines concerning research topics and methods. LIS has been characterized as fragmented adhocracy as a whole, but we make a distinction between research topics LIS context, L&I services and information seeking as fragmented adhocracies and information retrieval and scientific communication (scientometrics) as technologically integrated bureaucracies.

The paper provides an elaborated historical perspective on the fragmentation of LIS in the pressure of other disciplines. It also characterizes LIS as discipline in a fresh way by applying Whitley’s (1984) theory.

The purpose of this paper is to find out which research topics and methods in information science (IS) articles are used in other disciplines as indicated by citations.

The study analyzes citations to articles in IS published in 31 scholarly IS journals in 2015. The study employs content analysis of articles published in 2015 receiving citations from publication venues representing IS and other disciplines in the citation window 2015–2021. The unit of analysis is the article-citing discipline pair. The data set consists of 1178 IS articles cited altogether 25 K times through 5 K publication venues. Each citation is seen as a contribution to the citing document’s discipline by the cited article, which represents some IS subareas and methodologies, and the author team's disciplinary composition, which is inferred from the authors’ affiliations.

The results show that the citation profiles of disciplines vary depending on research topics, methods and author disciplines. Disciplines external to IS are typically cited in IS articles authored by scholars with the same background. Thus, the export of ideas from IS to other disciplines is evidently smaller than the earlier findings claim. IS should not be credited for contributions by other disciplines published in IS literature.

This study is the first to analyze which research topics and methods in the articles of IS are of use in other disciplines as indicated by citations.

The purpose of this paper is to elaborate the picture of situational relevance by examining how modes of music information are viewed as situationally relevant at different stages of information-seeking processes among music students.

Empirical data of the present longitudinal study were collected in two phases by utilizing questionnaire and interview methods. Informants comprised of 14 university-level music students representing the fields of music performance, music education and music theory and composition. Modes of music information were approached through the information typology presented by Rousi, Savolainen and Vakkari.

The findings indicate that not only the modes of music information were seen as situationally relevant for different reasons by the three participating music student groups when at the beginning of their tasks, but also that the perceived situational relevance of the information modes underwent changes as their tasks progressed to focus formulation and post-focus stages.

Due to the small number of participants, further research is needed to verify the results concerning the differences in information-seeking processes between diverse music student groups.

The paper showcases that approaching music information through frameworks that classify information sources at diverse levels of abstraction enables an accurate description of information-seeking processes and illuminates context-sensitive development of situational relevance of music information of diverse modes.

The purpose of this paper is twofold: first, to identify prominent patterns of media use across six media (e.g. television, social media, public libraries) and four gratification contexts (e.g. studying, leisure activities), and second, to investigate whether media use patterns vary with six individual characteristics by introducing the construct of information repertoire.

Data were collected through an online questionnaire completed by 811 adult internet users in the USA. Latent class analysis (LCA), including latent class regression, was performed to analyse the data.

The study found eight information repertoire profiles. The user characteristics associated with each profile, such as age, race and ethnicity, were identified. The profile with the most respondents was characterised by heavy use of TV and the internet for everyday leisure activities. Overall, the eight profiles do not show exclusive use of one or two media (such as a power-law pattern). However, the profiles do exhibit patterned behaviour, in which respondents use the same configuration of media in two or more gratification contexts. These findings suggest some level of gratification-based heuristic in media selection and use when respondents face contexts they deem to be similar.

In conceptual development, the study introduced the construct of information repertoire to capture media use profiles that account for multiple media use across multiple contexts. Methodologically, less-used LCA was applied, which allowed combining the 24 variables (6 media×4 gratification contexts) and the six demographic covariates in a single, unified analysis.

Recent studies on search-as-learning (SAL) have recognized the significance of identifying users' learning needs as they evolve for acquiring knowledge during the search process. In this study, the authors clarify the extent to which search behaviors reflect the learning outcome and foster the users' knowledge of Chinese art.

The authors conducted an exploratory-sequential mixed-methods approach using simulated work task situations to collect empirical data. The authors used two types of simulated learning tasks for topics related to painting and antique knowledge. A lot of 25 users participated in this evaluation of digital archives (DAs) at the National Palace Museum (NPM) in Taiwan. For each set of topics, a close-ended task related to lower-level learning goals and an open-ended task related to higher-level learning goals.

The learning criteria reflect changes in the users' knowledge structure, revealing the SAL process. Furthermore, users achieved better task performance on the higher-level creative-learning task, which suggests that they met more learning criteria, exhibited a greater variety of search patterns when exploring the topics via interaction with various sources. Finally, there is a close relationship between creative-learning tasks, prior knowledge, keyword search actions and learning outcomes.

The authors discuss implications with respect to the design of DAs in practice and contributions to the body of SAL knowledge in DAs of online museums. For future reference, the authors provide implications for the development of learning measures from the perspective of user search behavior with associated learning outcomes in the context of DAs.

The aim of this article is threefold: (1) to give a summary of empirical results reported earlier on relations between students‘ problem stages in the course of writing their research proposals for a master’s thesis and the information sought, choice of search terms and tactics and relevance assessments of the information found for that task; (2) to show how the findings of the study refine Kuhlthau‘s model of the information search process in the field of information retrieval (IR); and (3) to construe a tentative theory of a task‐based IR process based on the supported hypotheses. The results of the empirical studies show that there is a close connection between the students’ problem stages (mental model) in the task performance and the information sought, the search tactics used and the assessment of the relevance and utility of the information found. The corroborated hypotheses expand the ideas in Kuhlthau‘s model in the domain of IR. A theory of task‐based information searching based on the empirical findings of the study is presented.

The purpose of this paper is to elaborate the picture of situational relevance of music information from a performing musician’s point of view by delving into its diverse layers within the context of Doctor of Music students’ information seeking.

Music-related information is approached through six modes that categorize music information sources based on their levels of abstraction. Situational relevance of the modes of music information is examined in relation to the situational requirements of accomplishing a dissertation on music task consisting of both a series of concerts and a written thesis. The empirical material was collected by interviewing Finnish doctoral students in the field of music performance.

A set of situational relevance types related to each mode of music information were identified. As a whole, the differences between the perceived importance of the modes varied a little.

The goal of the present paper is not to create a generalizable list of situational relevance types suggested by modes of music information, but to show that the modes may suggest diverse situational relevance types of their own when evaluated by performing musicians.

The present paper provides a rare account on performing musicians’ vocational and school-related information seeking. For studies of music information retrieval, the present paper offers new contextual facets explaining why diverse music information could be relevant to musicians. For studies of music-related information seeking, the present study offers new insights on why performing musicians have information needs regarding certain types of music information sources.

This paper analyses the research in Library and Information Science (LIS) and reports on (1) the status of LIS research in 2015 and (2) on the evolution of LIS research longitudinally from 1965 to 2015.

The study employs a quantitative intellectual content analysis of articles published in 30+ scholarly LIS journals, following the design by Tuomaala et al. (2014). In the content analysis, we classify articles along eight dimensions covering topical content and methodology.

The topical findings indicate that the earlier strong LIS emphasis on L&I services has declined notably, while scientific and professional communication has become the most popular topic. Information storage and retrieval has given up its earlier strong position towards the end of the years analyzed. Individuals are increasingly the units of observation. End-user's and developer's viewpoints have strengthened at the cost of intermediaries' viewpoint. LIS research is methodologically increasingly scattered since survey, scientometric methods, experiment, case studies and qualitative studies have all gained in popularity. Consequently, LIS may have become more versatile in the analysis of its research objects during the years analyzed.

Among quantitative intellectual content analyses of LIS research, the study is unique in its scope: length of analysis period (50 years), width (8 dimensions covering topical content and methodology) and depth (the annual batch of 30+ scholarly journals).

Lending novels is the major service provided by public libraries. The efforts in developing search systems have been focused on retrieving non-fiction. There is a need for designing systems to support fiction searching in libraries. The aim of this study is to analyze readers’ methods of accessing fiction in a public library for informing the design of fiction search systems. This study seeks to find out which attributes of books readers perceive as indicators of a good novel, and what kind of tactics they use for finding these good novels in the public library.

The authors observed 16 adult library users by semi-structured interviews eliciting information about their literary competence, what characterizes a good novel and how they accessed and identified good novels in the library.

Based on the data this paper developed a tentative reader typology, which differentiated the attributes of good novels and major tactics for accessing them.

The typology was used for inferring user models and design ideas for systems supporting fiction searching.

This is the first empirical study to inform how readers’ literary competence is associated with the tactics used and indicators recognized in books for finding and selecting good novels to borrow.