Search (264 results, page 1 of 14)

0.057992067 = product of:
  0.115984134 = sum of:
    0.027465092 = weight(_text_:information in 766) [ClassicSimilarity], result of:
      0.027465092 = score(doc=766,freq=8.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3103276 = fieldWeight in 766, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0625 = fieldNorm(doc=766)
    0.088519044 = weight(_text_:standards in 766) [ClassicSimilarity], result of:
      0.088519044 = score(doc=766,freq=2.0), product of:
        0.22470023 = queryWeight, product of:
          4.4569545 = idf(docFreq=1393, maxDocs=44218)
          0.050415643 = queryNorm
        0.39394283 = fieldWeight in 766, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4569545 = idf(docFreq=1393, maxDocs=44218)
          0.0625 = fieldNorm(doc=766)
  0.5 = coord(2/4)

Abstract

Provides guidelines for information professionals running end user search programmes. Covers: the reference interview, evaluation of information sources (purpose, authprity, scope and proposed audience), user aids giving information on access, electronic database procedures, standards, electronic search strategies (logical connectors, proximity connections, limiting searches), and the role of the information centre in supporting end users

0.055358812 = product of:
  0.110717624 = sum of:
    0.027249675 = weight(_text_:information in 3589) [ClassicSimilarity], result of:
      0.027249675 = score(doc=3589,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3078936 = fieldWeight in 3589, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3589)
    0.083467945 = sum of:
      0.042484205 = weight(_text_:organization in 3589) [ClassicSimilarity], result of:
        0.042484205 = score(doc=3589,freq=2.0), product of:
          0.17974974 = queryWeight, product of:
            3.5653565 = idf(docFreq=3399, maxDocs=44218)
            0.050415643 = queryNorm
          0.23635197 = fieldWeight in 3589, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5653565 = idf(docFreq=3399, maxDocs=44218)
            0.046875 = fieldNorm(doc=3589)
      0.04098374 = weight(_text_:22 in 3589) [ClassicSimilarity], result of:
        0.04098374 = score(doc=3589,freq=2.0), product of:
          0.17654699 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.050415643 = queryNorm
          0.23214069 = fieldWeight in 3589, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046875 = fieldNorm(doc=3589)
  0.5 = coord(2/4)

Abstract

Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1111-1123

0.040900342 = product of:
  0.081800684 = sum of:
    0.03398632 = weight(_text_:information in 3924) [ClassicSimilarity], result of:
      0.03398632 = score(doc=3924,freq=4.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3840108 = fieldWeight in 3924, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.109375 = fieldNorm(doc=3924)
    0.047814365 = product of:
      0.09562873 = sum of:
        0.09562873 = weight(_text_:22 in 3924) [ClassicSimilarity], result of:
          0.09562873 = score(doc=3924,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.5416616 = fieldWeight in 3924, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=3924)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Source

Library and information science research. 22(2000) no.4, S.371-382

0.029514365 = product of:
  0.05902873 = sum of:
    0.03853686 = weight(_text_:information in 281) [ClassicSimilarity], result of:
      0.03853686 = score(doc=281,freq=28.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.4354273 = fieldWeight in 281, product of:
          5.2915025 = tf(freq=28.0), with freq of:
            28.0 = termFreq=28.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=281)
    0.02049187 = product of:
      0.04098374 = sum of:
        0.04098374 = weight(_text_:22 in 281) [ClassicSimilarity], result of:
          0.04098374 = score(doc=281,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.23214069 = fieldWeight in 281, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=281)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

This study grew out of a need for better research based understanding of information seeking and use in a specific context. Several researchers in library and information studies (LIS) pointed out the predominance of research on information needs and information seeking and expressed a need for the study of information use (i.a. Kuhlthau 1993; Vakkari 1997; Wilson 1981). The role of context for information seeking behaviour has been stressed (i.a. Dervin 1997; Wilson 1981, 1994). The complex process of information seeking and use in learning contexts needs further exploration, according to i.a. Kuhlthau (1993). My research project investigated how students used information and what they learnt from the information they retrieved and used for an assignment. The aim of the project was to study information seeking through an explorative investigation of the interaction between information seeking and use and learning outcomes.

Date

22. 3.2002 9:53:10

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, Sheffield, UK, 1998. Ed. by D.K. Wilson u. D.K. Allen

0.02921453 = product of:
  0.05842906 = sum of:
    0.02427594 = weight(_text_:information in 5835) [ClassicSimilarity], result of:
      0.02427594 = score(doc=5835,freq=4.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.27429342 = fieldWeight in 5835, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.078125 = fieldNorm(doc=5835)
    0.03415312 = product of:
      0.06830624 = sum of:
        0.06830624 = weight(_text_:22 in 5835) [ClassicSimilarity], result of:
          0.06830624 = score(doc=5835,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.38690117 = fieldWeight in 5835, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=5835)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Date

5. 8.2006 13:22:44

Source

Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u, L. Kajberg

0.028085038 = product of:
  0.056170076 = sum of:
    0.035678204 = weight(_text_:information in 3450) [ClassicSimilarity], result of:
      0.035678204 = score(doc=3450,freq=24.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.40312737 = fieldWeight in 3450, product of:
          4.8989797 = tf(freq=24.0), with freq of:
            24.0 = termFreq=24.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3450)
    0.02049187 = product of:
      0.04098374 = sum of:
        0.04098374 = weight(_text_:22 in 3450) [ClassicSimilarity], result of:
          0.04098374 = score(doc=3450,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.23214069 = fieldWeight in 3450, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=3450)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Most information systems share a common assumption: information seeking is discrete. Such an assumption neither reflects real-life information seeking processes nor conforms to the perspective of phenomenology, "life is a journey constituted by continuous acquisition of knowledge." Thus, this study develops and validates a theoretical model that explains successive search experience for essentially the same information problem. The proposed model is called Multiple Information Seeking Episodes (MISE), which consists of four dimensions: problematic situation, information problem, information seeking process, episodes. Eight modes of multiple information seeking episodes are identified and specified with properties of the four dimensions of MISE. The results partially validate MISE by finding that the original MISE model is highly accurate, but less sufficient in characterizing successive searches; all factors in the MISE model are empirically confirmed, but new factors are identified as weIl. The revised MISE model is shifted from the user-centered to the interaction-centered perspective, taking into account factors of searcher, system, search activity, search context, information attainment, and information use activities.

Date

10. 4.2005 14:52:22

Source

Journal of the American Society for Information Science and Technology. 56(2005) no.4, S.393-415

0.026284594 = product of:
  0.05256919 = sum of:
    0.017165681 = weight(_text_:information in 3539) [ClassicSimilarity], result of:
      0.017165681 = score(doc=3539,freq=2.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.19395474 = fieldWeight in 3539, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.078125 = fieldNorm(doc=3539)
    0.035403505 = product of:
      0.07080701 = sum of:
        0.07080701 = weight(_text_:organization in 3539) [ClassicSimilarity], result of:
          0.07080701 = score(doc=3539,freq=2.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.39391994 = fieldWeight in 3539, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.078125 = fieldNorm(doc=3539)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Source

Tendencias de investigación en organización del conocimient: IV Cologuio International de Ciencas de la Documentación , VI Congreso del Capitulo Espanol de ISKO = Trends in knowledge organization research. Eds.: J.A. Frias u. C. Travieso

0.025186617 = product of:
  0.050373234 = sum of:
    0.02913113 = weight(_text_:information in 3821) [ClassicSimilarity], result of:
      0.02913113 = score(doc=3821,freq=16.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3291521 = fieldWeight in 3821, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3821)
    0.021242103 = product of:
      0.042484205 = sum of:
        0.042484205 = weight(_text_:organization in 3821) [ClassicSimilarity], result of:
          0.042484205 = score(doc=3821,freq=2.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.23635197 = fieldWeight in 3821, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.046875 = fieldNorm(doc=3821)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Key terms related to information searching and search models are defined. A historic context is provided to illustrate the evolution of the four main digital environments that users interact with in their search process to offer readers background information regarding the transition from manual information systems to computer-based information retrieval (IR) systems, as well as the transition from intermediary searching to end-user searching. Emphasis is placed on the review of different levels of information searching from search tactics/moves, search strategies, and usage patterns, to search models and associated factors in relation to task, user knowledge structure, IR system design, and social-organization context. Search models are further classified into two types, with one type illustrating information search process (ISP) and the other type emphasizing the factors that influence the process. In addition, unsolved problems and future research are discussed and suggested.

Source

Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates

0.024811499 = product of:
  0.049622998 = sum of:
    0.02913113 = weight(_text_:information in 3612) [ClassicSimilarity], result of:
      0.02913113 = score(doc=3612,freq=16.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3291521 = fieldWeight in 3612, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3612)
    0.02049187 = product of:
      0.04098374 = sum of:
        0.04098374 = weight(_text_:22 in 3612) [ClassicSimilarity], result of:
          0.04098374 = score(doc=3612,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.23214069 = fieldWeight in 3612, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=3612)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

In this paper results of a field study into the need for research information of different user groups are presented: scientists, policy makers and policy researchers, industry and media. Main questions of semi-structured interviews were: what kind of research information users need, what kind of research information resources are used and which information resources are missing at the moment. User groups are missing for a diversity of reasons the overview of research, experts and institutes in the different scientific fields. Especially for the accessibility and transparency of the scientific world these overviews are reported to be needed. Neither Google nor any of the research institutes or policy research organisations are able to present surveys for different science fields at the moment. Giving users the possibility to search, browse and navigate through accessible and more specialised layers of research information might give answers to different user groups simultaneously.

Date

2. 7.2005 12:22:50

Source

Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase

0.024245888 = product of:
  0.048491776 = sum of:
    0.027249675 = weight(_text_:information in 599) [ClassicSimilarity], result of:
      0.027249675 = score(doc=599,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3078936 = fieldWeight in 599, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=599)
    0.021242103 = product of:
      0.042484205 = sum of:
        0.042484205 = weight(_text_:organization in 599) [ClassicSimilarity], result of:
          0.042484205 = score(doc=599,freq=2.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.23635197 = fieldWeight in 599, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.046875 = fieldNorm(doc=599)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Researchers in the discipline of Higher Education have examined philosophical and psychological literature to develop epistemological development theories and models. They are primarily interested in understanding: "how individuals come to know, the theories and beliefs they hold about knowing, and the manner in which such epistemological premises are a part of and an influence on the cognitive processes of thinking and reasoning" (Hofer & Pintrinch, 1997). I propose to develop a theoretical framework for undergraduates' information seeking behavior based upon the insights into their knowledge construction offered through these models and theories of epistemological development. Epistemology is defined as "the philosophical study of the nature, sources, and limits of knowledge' (Moser, Mulder, & Trout, 1998). I will focus my paper on four major theories and models of undergraduates' epistemological development. I will present a new model of information seeking behavior incorporating these theories and models about how undergraduates construct knowledge and the consequent influence on their information seeking behavior

Imprint

Medford, NJ : Information Today

Series

Proceedings of the American Society for Information Science; vol.36

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

0.023870774 = product of:
  0.047741547 = sum of:
    0.027249675 = weight(_text_:information in 331) [ClassicSimilarity], result of:
      0.027249675 = score(doc=331,freq=14.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3078936 = fieldWeight in 331, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=331)
    0.02049187 = product of:
      0.04098374 = sum of:
        0.04098374 = weight(_text_:22 in 331) [ClassicSimilarity], result of:
          0.04098374 = score(doc=331,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.23214069 = fieldWeight in 331, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=331)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Human information-seeking behavior is a topic of increasing interest in many disciplines. However, the dynamics of this behavior remain elusive. The extant research has taken cognitive and behavioral perspectives to study information-seeking behavior, and observed its dynamics in multiple sessions. However, the underlying mechanisms that govern the dynamics of information-seeking behavior are not well understood. With a focus on interactive information retrieval behavior, this study proposes an integrated framework based on activity theory. This framework is not only comprehensive and integrated, but also offers an explanation of the mechanisms governing the interaction between users' cognitive states and their manifested behavior when using an information retrieval system. A set of four propositions are advanced to describe the mechanisms. The implications are discussed.

Date

27. 5.2007 13:55:22

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.7, S.958-970

0.023404198 = product of:
  0.046808396 = sum of:
    0.029731836 = weight(_text_:information in 297) [ClassicSimilarity], result of:
      0.029731836 = score(doc=297,freq=24.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3359395 = fieldWeight in 297, product of:
          4.8989797 = tf(freq=24.0), with freq of:
            24.0 = termFreq=24.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=297)
    0.01707656 = product of:
      0.03415312 = sum of:
        0.03415312 = weight(_text_:22 in 297) [ClassicSimilarity], result of:
          0.03415312 = score(doc=297,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.19345059 = fieldWeight in 297, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=297)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

In information needs, seeking and use (INSU) research, individuals have most commonly been perceived as users (e.g., Kuhlthau, 1991; Dervin & Nilan, 1986; Dervin, 1989; Belkin, 1980). The concept user originates from the user of libraries and other information services and information systems. Over the years the scope of the concept has become wider and it is nowadays often understood in the sense of seekers of information (e.g., Wilson, 1981; Marchionini, 1995) and users of information (e.g., Streatfield, 1983). Nevertheless, the concept has remained ambiguous by being on the one hand universal and on the other hand extremely specific. The purpose of this paper is to map and evaluate views on people whose information behaviour has been in one way or another the core of our research area. The goal is to shed some light on various relationships between the different aspects of doers in INSU studies. The paper is inspired by Dervin's (1997) analysis of context where she identified among other themes the nature of subject by contrasting a `transcendental individual' with a `decentered subject', and Talja's (1997) presentation about constituting `information' and `user' from the discourse analytic viewpoint as opposed to the cognitive viewpoint. Instead of the metatheoretical approach applied by Dervin and Talja, a more concrete approach is valid in the present analysis where no direct arguments for or against the underlying metatheories are itemised. The focus is on doers in INSU studies leaving other, even closely-related concepts (i.e., information, information seeking, knowledge etc.), outside the scope of the paper.

Date

22. 3.2002 9:55:52

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, Sheffield, UK, 1998. Ed. by D.K. Wilson u. D.K. Allen

0.023310103 = product of:
  0.046620205 = sum of:
    0.02659296 = weight(_text_:information in 278) [ClassicSimilarity], result of:
      0.02659296 = score(doc=278,freq=30.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.3004734 = fieldWeight in 278, product of:
          5.477226 = tf(freq=30.0), with freq of:
            30.0 = termFreq=30.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=278)
    0.020027246 = product of:
      0.040054493 = sum of:
        0.040054493 = weight(_text_:organization in 278) [ClassicSimilarity], result of:
          0.040054493 = score(doc=278,freq=4.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.22283478 = fieldWeight in 278, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.03125 = fieldNorm(doc=278)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

For senior executives, the ability to work with large quantities of information - sorting the wheat from the chaff- has long been recognised as a key determinant of achievement. What an executive believes to be important information can have a significant influence on what they think and how they think about it. Senior executives, because of their critical leadership role, are challenged in their daily lives to develop effective ways of acquiring, using and sharing important information. Some executives are undoubtedly better than others in how they handle such information and there is a high level of interest in identifying those information behavior characteristics that lead to executive excellence (Davenport & Prusak, 1998). Because of their position within organizations, CEOs - those senior executives who have overall responsibility for the management of the organization or business unit - are particularly concerned with enhancing their information behavior. CEOs have the task of managing the organization so that it achieves its strategic goals and objectives. And a critical part of this task is becoming highly effective in managing a wide range of information and in developing skills of influence and decision making. It is therefore important for us to understand how senior executives handle information on a day-to-day basis. What information do they consider important? And why? Several studies have sought to address these questions with varying degrees of success. Some have set out to better understand what type of information senior executives need (McLeod & Jones, 1987) while other studies have attempted to provide a comprehensive theoretical base for executive work (Mintzberg, 1968; 1973; 1975). Yet other work has tried to devise various tools and methodologies for eliciting the unique information requirements of individual executives (Rockart, 1979).

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK. Ed. by D.K. Wilson u. D.K. Allen

Theme

Information Resources Management

0.022860084 = product of:
  0.045720167 = sum of:
    0.025228297 = weight(_text_:information in 813) [ClassicSimilarity], result of:
      0.025228297 = score(doc=813,freq=12.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.2850541 = fieldWeight in 813, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=813)
    0.02049187 = product of:
      0.04098374 = sum of:
        0.04098374 = weight(_text_:22 in 813) [ClassicSimilarity], result of:
          0.04098374 = score(doc=813,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.23214069 = fieldWeight in 813, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=813)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Purpose - This is part II of on-going research, the purpose being to establish a creative information-seeking model. Design/methodology/approach - Two studies were conducted to examine the subjects' creative information seeking behaviours and the extent to which they exhibited the proposed stages in creative information seeking when accomplishing a directed and an open-ended information-seeking task respectively. Findings - Findings seemed to indicate that all the subjects underwent the proposed stages although they seemed to embrace characteristics of these stages in varying degrees. Findings also showed that if subjects performed the proposed stages more iteratively or non-sequentially, then a greater amount of creativity was needed to accomplish the information-seeking task. Originality/value - The paper offers a discussion on the relationships between creativity, complexity of tasks, and levels of expertise in domain knowledge.

Date

23.12.2007 12:22:16

0.022797368 = product of:
  0.045594737 = sum of:
    0.020812286 = weight(_text_:information in 2277) [ClassicSimilarity], result of:
      0.020812286 = score(doc=2277,freq=6.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.23515764 = fieldWeight in 2277, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2277)
    0.024782453 = product of:
      0.049564905 = sum of:
        0.049564905 = weight(_text_:organization in 2277) [ClassicSimilarity], result of:
          0.049564905 = score(doc=2277,freq=2.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.27574396 = fieldWeight in 2277, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2277)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

This article reviews studies, conducted between 1995 and 2000, on Web search behavior. These studies reported on children as well as on adults. Most of the studies on children described their interaction with the Web. Research on adult searchers focused on describing search patterns, and many studies investigated effects of selected factors on search behavior, including information organization and presentation, type of search task, Web experience, cognitive abilities, and affective states. What distinguishes the research on adult searchers is the use of multiple data-gathering methods. The research on Web search behavior reflects researchers' commitment to examine users in their information environment and exhibits rigor in design and data analysis. However, many studies lack external validity. Implications of this body of research are discussed.

Source

Library and information science research. 23(2001) no.2, S.167-185

0.02277131 = product of:
  0.04554262 = sum of:
    0.028466063 = weight(_text_:information in 2603) [ClassicSimilarity], result of:
      0.028466063 = score(doc=2603,freq=22.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.32163754 = fieldWeight in 2603, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2603)
    0.01707656 = product of:
      0.03415312 = sum of:
        0.03415312 = weight(_text_:22 in 2603) [ClassicSimilarity], result of:
          0.03415312 = score(doc=2603,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.19345059 = fieldWeight in 2603, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2603)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Purpose - This paper aims to report the result of follow-up research on end-users' conceptions of information visibility on the web and their conceptualizations of success and failure in web searching. Design/methodology/approach - The data were collected by a questionnaire followed by a brief interview with the participants. The questionnaire was developed based on the information visibility model suggested by the author in the original study. Fifty-two library and information sciences students from Tarbiat Mollem University (TMU) and Iran University of Medical Sciences (IUMS) in Tehran took part in the study. Findings - The model of information visibility can enable web users to gain a better understanding of their information seeking (IS) outcomes and it can assist them to improve their information literacy skills. The model can provide a theoretical framework to investigate web users' IS behavior and can be used as a diagnostic tool to explore the contextual and conceptual elements affecting the visibility of information for end-users. Research limitations/implications - The paper suggests a visibility learning diary (VLD), which might be useful to measure the efficiency of information literacy training courses. Originality/value - The contextual and conceptual approach of the paper provides a deeper insight into the issue of information visibility, which has received little attention by IS and information retrieval researchers until now.

Date

1. 1.2009 10:22:40

0.02277131 = product of:
  0.04554262 = sum of:
    0.028466063 = weight(_text_:information in 3340) [ClassicSimilarity], result of:
      0.028466063 = score(doc=3340,freq=22.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.32163754 = fieldWeight in 3340, product of:
          4.690416 = tf(freq=22.0), with freq of:
            22.0 = termFreq=22.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3340)
    0.01707656 = product of:
      0.03415312 = sum of:
        0.03415312 = weight(_text_:22 in 3340) [ClassicSimilarity], result of:
          0.03415312 = score(doc=3340,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.19345059 = fieldWeight in 3340, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3340)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Keeping up to date with research developments is a central activity of academic researchers, but researchers face difficulties in managing the rapid growth of available scientific information. This study examined how researchers stay up to date, using the information journey model as a framework for analysis and investigating which dimensions influence information behaviors. We designed a 2-round study involving semistructured interviews and prototype testing with 61 researchers with 3 levels of seniority (PhD student to professor). Data were analyzed following a semistructured qualitative approach. Five key dimensions that influence information behaviors were identified: level of seniority, information sources, state of the project, level of familiarity, and how well defined the relevant community is. These dimensions are interrelated and their values determine the flow of the information journey. Across all levels of professional expertise, researchers used similar hard (formal) sources to access content, while soft (interpersonal) sources were used to filter information. An important "pain point" that future information tools should address is helping researchers filter information at the point of need.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35

0.02141254 = product of:
  0.04282508 = sum of:
    0.025748521 = weight(_text_:information in 5842) [ClassicSimilarity], result of:
      0.025748521 = score(doc=5842,freq=18.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.2909321 = fieldWeight in 5842, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5842)
    0.01707656 = product of:
      0.03415312 = sum of:
        0.03415312 = weight(_text_:22 in 5842) [ClassicSimilarity], result of:
          0.03415312 = score(doc=5842,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.19345059 = fieldWeight in 5842, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5842)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Purpose A new approach to investigate serendipitous knowledge discovery (SKD) of health information is developed and tested to evaluate the information flow-serendipitous knowledge discovery (IF-SKD) model. The purpose of this paper is to determine the degree to which IF-SKD reflects physicians' information behaviour in a clinical setting and explore how the information system, Spark, designed to support physicians' SKD, meets its goals. Design/methodology/approach The proposed pre-experimental study design employs an adapted version of the McCay-Peet's (2013) and McCay-Peet et al.'s (2015) serendipitous digital environment (SDE) questionnaire research tool to address the complexity associated with defining the way in which SKD is understood and applied in system design. To test the IF-SKD model, the new data analysis approach combining confirmatory factor analysis, data imputation and Monte Carlo simulations was developed. Findings The piloting of the proposed novel analysis approach demonstrated that small sample information behaviour survey data can be meaningfully examined using a confirmatory factor analysis technique. Research limitations/implications This method allows to improve the reliability in measuring SKD and the generalisability of findings. Originality/value This paper makes an original contribution to developing and refining methods and tools of research into information-system-supported serendipitous discovery of information by health providers.

Date

20. 1.2015 18:30:22

Footnote

Beitrag in einem Special Issue: Innovative Methods in Health Information Behaviour Research.

Source

Aslib journal of information management. 71(2019) no.6, S.755-772

0.020887807 = product of:
  0.041775614 = sum of:
    0.01699316 = weight(_text_:information in 831) [ClassicSimilarity], result of:
      0.01699316 = score(doc=831,freq=4.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.1920054 = fieldWeight in 831, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=831)
    0.024782453 = product of:
      0.049564905 = sum of:
        0.049564905 = weight(_text_:organization in 831) [ClassicSimilarity], result of:
          0.049564905 = score(doc=831,freq=2.0), product of:
            0.17974974 = queryWeight, product of:
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.050415643 = queryNorm
            0.27574396 = fieldWeight in 831, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5653565 = idf(docFreq=3399, maxDocs=44218)
              0.0546875 = fieldNorm(doc=831)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

The rapid evolution of hypermedia technology makes it possible to access an immense volume of information in an educational setting. This research examines the relationship between individual differences (in particular, cognitive styles) and navigation strategies using a WWW-based hyper-media learning system. The hypermedia learning system was used at Sheffield University's Department of Information Studies. 20 Master students were pre-tested for their cognitive styles. Dependent variables included navigation patterns, selection of navigation tools, and reactions to the hypermedia system. the results indicated that students with differing cognitive styles and individual characteristics selected different access facilities and applied different navigation patterns. The implication of these findings and the role of individual differences in designing hypermedia-based learning systems are discussed

Source

Knowledge organization. 25(1998) no.3, S.67-78

0.019676244 = product of:
  0.039352488 = sum of:
    0.025691241 = weight(_text_:information in 292) [ClassicSimilarity], result of:
      0.025691241 = score(doc=292,freq=28.0), product of:
        0.08850355 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.050415643 = queryNorm
        0.29028487 = fieldWeight in 292, product of:
          5.2915025 = tf(freq=28.0), with freq of:
            28.0 = termFreq=28.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03125 = fieldNorm(doc=292)
    0.013661247 = product of:
      0.027322493 = sum of:
        0.027322493 = weight(_text_:22 in 292) [ClassicSimilarity], result of:
          0.027322493 = score(doc=292,freq=2.0), product of:
            0.17654699 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050415643 = queryNorm
            0.15476047 = fieldWeight in 292, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=292)
      0.5 = coord(1/2)
  0.5 = coord(2/4)

Abstract

Browsing is considered to be unstructured and human-driven, although not a cognitively intensive process. It is conducted using systems that facilitate considerable user-system interactivity. Cued by the content, people immerse themselves in a topic of interest and meander from topic to topic while concurrently recognising interesting and informative information en route. They seem to seek and gather information in a purposeless, illogical and indiscriminate manner. Typical examples of these ostensibly random acts are scanning a non-fiction book, examining the morning newspaper, perusing the contents of a business report and scavenging the World Wide Web. Often the result is the acquisition of new information, the rejection or confirmation of an idea, or the genesis of new, perhaps not-wholly-formed thoughts about a topic. Noteworthy about this approach is that people explore information without having consciously structured queries or explicit goals. This form of passive information interaction behaviour is defined as acquiring and gathering information while scanning an information space without a specific goal in mind (Waterworth & Chignell, 1991; Toms, 1997), and for the purposes of this study, is called browsing. Traditionally, browsing is thought of in two ways: as a physical process - the action taken when one scans a list, a document, or a set of linked information nodes (e.g., Fox & Palay, 1979; Thompson & Croft, 1989; Ellis, 1989), and as a conceptual process, information seeking when the goal is ill-defined (e.g., Cove & Walsh, 1987). Browsing is also combined with searching in an integrated information-seeking process for retrieving information (e.g., Ellis, 1989; Belkin, Marchetti & Cool, 1993; Marchionini, 1995; Chang, 1995). Each of these cases focuses primarily on seeking information when the objective ranges from fuzzy to explicit.

Date

22. 3.2002 9:44:47

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK. Ed. by D.K. Wilson u. D.K. Allen