Search (20 results, page 1 of 1)

  • × author_ss:"Vakkari, P."
  1. Vakkari, P.; Järvelin, K.; Chang, Y.-W.: ¬The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995-2015 (2023) 0.03
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    Abstract
    The paper reports a longitudinal analysis of the topical and methodological development of Library and Information Science (LIS). Its focus is on the effects of researchers' disciplines on these developments. The study extends an earlier cross-sectional study (Vakkari et al., Journal of the Association for Information Science and Technology, 2022a, 73, 1706-1722) by a coordinated dataset representing a content analysis of articles published in 31 scholarly LIS journals in 1995, 2005, and 2015. It is novel in its coverage of authors' disciplines, topical and methodological aspects in a coordinated dataset spanning two decades thus allowing trend analysis. The findings include a shrinking trend in the share of LIS from 67 to 36% while Computer Science, and Business and Economics increase their share from 9 and 6% to 21 and 16%, respectively. The earlier cross-sectional study (Vakkari et al., Journal of the Association for Information Science and Technology, 2022a, 73, 1706-1722) for the year 2015 identified three topical clusters of LIS research, focusing on topical subfields, methodologies, and contributing disciplines. Correspondence analysis confirms their existence already in 1995 and traces their development through the decades. The contributing disciplines infuse their concepts, research questions, and approaches to LIS and may also subsume vital parts of LIS in their own structures of knowledge production.
    Date
    22. 6.2023 18:15:06
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.7, S.811-827
  2. Pennanen, M.; Vakkari, P.: Students' conceptual structure, search process, and outcome while preparing a research proposal : a longitudinal case study (2003) 0.02
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    Abstract
    This article focuses an analysing students' information needs in terms of conceptual understanding of the topic they propose to study and its consequences for the search process and outcome. The research subjects were 22 undergraduates of psychology attending a seminar for preparing a research proposal for a small empirical study. They were asked to make searches in the PsycINFO database for their task in the beginning and end of the seminar. A pre- and postsearch interview was conducted in both sessions. The students were asked to think aloud in the sessions. This was recorded, as were the transaction logs. The results show that during the preparation of research proposals different features of the students' conceptual structure were connected to the search success. Students' ability to cover their conceptual construct by query terms was the major feature affecting search success during the whole process. In the beginning also the number of concepts and the proportion of subconcepts in the construct contributed indirectly via search tactics to retrieving partly useful references. Students' ability to extract new query terms from retrieved items improved search results.
    Date
    19. 6.2003 17:22:33
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.759-770
  3. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.02
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    Date
    9.12.2018 16:22:25
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1428-1445
  4. Järvelin, K.; Vakkari, P.: ¬The evolution of library and information science 1965-1985 : a content analysis of journal titles (1993) 0.01
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  5. Vakkari, P.; Kuokkanen, M.: Theory growth in information science : applications of the theory of science to a theory of information seeking (1997) 0.01
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    Abstract
    Describes a study whose aim was to analyse theory growth in information science by using a case from information seeking studies. Scientific growth is identified with the growth of theories. Differentiates 3 contexts of theoretical work: unit theories, theoretical research programmes and metatheories. States that for analysis if theory growth, tools based on the current theory of science are needed. Introduces tools for the analysis of theory growth and theory reconstruction and applies them to analysis of a theory on information seeking
  6. Vakkari, P.; Chang, Y.-W.; Järvelin, K.: Disciplinary contributions to research topics and methodology in Library and Information Science : leading to fragmentation? (2022) 0.01
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    Abstract
    The study analyses contributions to Library and Information Science (LIS) by researchers representing various disciplines. How are such contributions associated with the choice of research topics and methodology? The study employs a quantitative content analysis of articles published in 31 scholarly LIS journals in 2015. Each article is seen as a contribution to LIS by the authors' disciplines, which are inferred from their affiliations. The unit of analysis is the article-discipline pair. Of the contribution instances, the share of LIS is one third. Computer Science contributes one fifth and Business and Economics one sixth. The latter disciplines dominate the contributions in information retrieval, information seeking, and scientific communication indicating strong influences in LIS. Correspondence analysis reveals three clusters of research, one focusing on traditional LIS with contributions from LIS and Humanities and survey-type research; another on information retrieval with contributions from Computer Science and experimental research; and the third on scientific communication with contributions from Natural Sciences and Medicine and citation analytic research. The strong differentiation of scholarly contributions in LIS hints to the fragmentation of LIS as a discipline.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.12, S.1706-1722
  7. Vakkari, P.; Järvelin, K.: Explanation in information seeking and retrieval (2005) 0.01
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    Abstract
    Information Retrieval (IR) is a research area both within Computer Science and Information Science. It has by and large two communities: a Computer Science oriented experimental approach and a user-oriented Information Science approach with a Social Science background. The communities hold a critical stance towards each other (e.g., Ingwersen, 1996), the latter suspecting the realism of the former, and the former suspecting the usefulness of the latter. Within Information Science the study of information seeking (IS) also has a Social Science background. There is a lot of research in each of these particular areas of information seeking and retrieval (IS&R). However, the three communities do not really communicate with each other. Why is this, and could the relationships be otherwise? Do the communities in fact belong together? Or perhaps each community is better off forgetting about the existence of the other two? We feel that the relationships between the research areas have not been properly analyzed. One way to analyze the relationships is to examine what each research area is trying to find out: which phenomena are being explained and how. We believe that IS&R research would benefit from being analytic about its frameworks, models and theories, not just at the level of meta-theories, but also much more concretely at the level of study designs. Over the years there have been calls for more context in the study of IS&R. Work tasks as well as cultural activities/interests have been proposed as the proper context for information access. For example, Wersig (1973) conceptualized information needs from the tasks perspective. He argued that in order to learn about information needs and seeking, one needs to take into account the whole active professional role of the individuals being investigated. Byström and Järvelin (1995) analysed IS processes in the light of tasks of varying complexity. Ingwersen (1996) discussed the role of tasks and their descriptions and problematic situations from a cognitive perspective on IR. Most recently, Vakkari (2003) reviewed task-based IR and Järvelin and Ingwersen (2004) proposed the extension of IS&R research toward the task context. Therefore there is much support to the task context, but how should it be applied in IS&R?
  8. Tuomaala, O.; Järvelin, K.; Vakkari, P.: Evolution of library and information science, 1965-2005 : content analysis of journal articles (2014) 0.01
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    Abstract
    This article first analyzes library and information science (LIS) research articles published in core LIS journals in 2005. It also examines the development of LIS from 1965 to 2005 in light of comparable data sets for 1965, 1985, and 2005. In both cases, the authors report (a) how the research articles are distributed by topic and (b) what approaches, research strategies, and methods were applied in the articles. In 2005, the largest research areas in LIS by this measure were information storage and retrieval, scientific communication, library and information-service activities, and information seeking. The same research areas constituted the quantitative core of LIS in the previous years since 1965. Information retrieval has been the most popular area of research over the years. The proportion of research on library and information-service activities decreased after 1985, but the popularity of information seeking and of scientific communication grew during the period studied. The viewpoint of research has shifted from library and information organizations to end users and development of systems for the latter. The proportion of empirical research strategies was high and rose over time, with the survey method being the single most important method. However, attention to evaluation and experiments increased considerably after 1985. Conceptual research strategies and system analysis, description, and design were quite popular, but declining. The most significant changes from 1965 to 2005 are the decreasing interest in library and information-service activities and the growth of research into information seeking and scientific communication.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1446-1462
  9. Vakkari, P.; Sormunen, E.: ¬The influence of relevance levels an the effectiveness of interactive information retrieval (2004) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.11, S.963-969
  10. Vakkari, P.: Task-based information searching (2002) 0.01
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    Source
    Annual review of information science and technology. 37(2003), S.413-464
  11. Vakkari, P.: Perceived influence of the use of electronic information resources on scholarly work and publication productivity (2008) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.4, S.602-612
  12. Numminen, P.; Vakkari, P.: Question types in public libraries' digital reference service in Finland : comparing 1999 and 2006 (2009) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.6, S.1249-1257
  13. Vakkari, P.: Task complexity, information types, search strategies and relevance : integrating studies on information retrieval and seeking (1999) 0.00
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    Abstract
    Research in information science aims to comprehend the facilitation of access to information for supporting purposeful action. The major themes to be addressed have been how information is organized for access, how it is retrieved from storage, and how it is sought out and used for various purposes. Two central research areas in the field are information retrieval (IR) and information seeking (IS) (Vakkari & Rochester, 1998). Although intuitively the fields seem to be overlapping, their research communities have been active in their own enclosures. Few researchers have visited the neighboring side. However, there are researchers (Bates, 1989; Belkin & Vickery, 1986; Belkin, 1993; Ellis, 1989; Ingwersen, 1992, 1996; Järvelin 1987; Kuhlthau, 1993; Marchionini, 1995; Saracevic & Kantor, 1988) who have stressed the need to connect results from both research traditions. IR can be seen as a part of a broader process of information seeking. By IS is understood a process of searching, obtaining and using information for a purpose (e.g., form a solution for a task) when a person does not have sufficient prior knowledge. By 1R is understood the use of an information system for obtaining relevant information for a purpose (e.g., a task). This implies that information systems are a specific means among other sources and channels for obtaining information.
  14. Serola, S.; Vakkari, P.: ¬The anticipated and assessed contribution of information types in references retrieved for preparing a research proposal (2005) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.4, S.373-381
  15. Talja, S.; Vakkari, P.; Fry, J.; Wouters, P.: Impact of research cultures on the use of digital library resources (2007) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.11, S.1674-1685
  16. Vakkari, P.; Huuskonen, S.: Search effort degrades search output but improves task outcome (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.4, S.657-670
  17. Mikkonen, A.; Vakkari, P.: Reader characteristics, behavior, and success in fiction book search (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.9, S.2154-2165
  18. Vakkari, P.; Völske, M.; Potthast, M.; Hagen, M.; Stein, B.: Predicting essay quality from search and writing behavior (2021) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.7, S.839-852
  19. Järvelin, K.; Vakkari, P.: LIS research across 50 years: content analysis of journal articles : offering an information-centric conception of memes (2022) 0.00
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    Abstract
    Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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).
  20. Vakkari, P.; Pennanen, M.; Serola, S.: Changes of search terms and tactics while writing a research proposal : a longitudinal case study (2003) 0.00
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    Abstract
    The study analyses how students' growing understanding of the topic and search experience were related to their choice of search tactics and terms while preparing a research proposal for a small empirical study. In addition to that, the findings of the study are used to test Vakkari's (2001) theory of task-based IR. The research subjects were 22 students of psychology attending a seminar for preparing the proposal. They made a search for their task in PsychINFO database at the beginning and end of the seminar. Data were collected in several ways. A pre- and post-search interview was conducted in both sessions. The students were asked to think aloud in the sessions. This was recorded as were the transaction logs. The results show that search experience was slightly related to the change of facets. Although the students' vocabulary of the topic grew generating an increased use of specific terms between the sessions, their use of search tactics and operators remained fairly constant. There was no correlation between the terms and tactics used and the total number of useful references found. By comparing these results with the findings of relevant earlier studies the conclusion was drawn that domain knowledge has an impact on searching assuming that users have a sufficient command of the system used. This implies that the tested theory of task-based IR is valid on condition that the searchers are experienced. It is suggested that the theory should be enriched by including search experience in its scope.