Search (8 results, page 1 of 1)

0.0024128247 = product of:
  0.0048256493 = sum of:
    0.0048256493 = product of:
      0.009651299 = sum of:
        0.009651299 = weight(_text_:a in 574) [ClassicSimilarity], result of:
          0.009651299 = score(doc=574,freq=14.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = queryNorm
            0.20223314 = fieldWeight in 574, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=574)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

A conceptually relaxed utilization of the variable "search experience" makes it difficult for researchers to perform meaningful cross-study comparisons. The purpose of this study was to examine how search experience is defined and measured when used as a research variable. We implemented a qualitative analysis of 32 library and information science (LIS) research articles. We found that there was inconsistent terminology usage and measurements. Specifically, there were 21 unique labels to describe the search experience and 18 different measurements. The majority of the studies used a generic label "search experience" and relied on the reader to grasp specific context of the electronic information retrieval environment to which the variable applies from the description of the overall research design. In addition, there was a strong preference for measures that represented subjective self-reporting about the level of exposure to some information retrieval system. It is evident that there is a need for articles to contain detailed definitions of search experience variables for readers to truly understand the findings.

Type

a

0.0021279112 = product of:
  0.0042558224 = sum of:
    0.0042558224 = product of:
      0.008511645 = sum of:
        0.008511645 = weight(_text_:a in 298) [ClassicSimilarity], result of:
          0.008511645 = score(doc=298,freq=8.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = queryNorm
            0.17835285 = fieldWeight in 298, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=298)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Information encountering is the term used to describe the process of accidental information discovery. Reports results of a study to attempt to provide a conceptual framework for information encountering as part of the overall pattern of information seeking behaviour. Data was collected from questionnaire surveys and interviews with 132 respondents who reported their experiences of information encountering. 4 tentative groups of users were identified: super encounterers; encounterers; occasional encounterers; and non encounterers. Super encounterers believe that they are able to create situations conductive to information encountering

Type

a

0.0020106873 = product of:
  0.0040213745 = sum of:
    0.0040213745 = product of:
      0.008042749 = sum of:
        0.008042749 = weight(_text_:a in 6549) [ClassicSimilarity], result of:
          0.008042749 = score(doc=6549,freq=14.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = queryNorm
            0.1685276 = fieldWeight in 6549, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=6549)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Heterogeneous information environments may cause many problems for knowledge managers. Common characteristics of these environments are complex work practices, non-standard problem solving techniques, and multiple reporting requirements. This paper presents some of the challenges to knowledge management revealed in a 1998 study of county judges and clerks in rural Texas courts. Both types of actors have complex job responsibilities with multiple facets. Their work practices are highly sophisticated, developed over many decades, and not easily transferable to digital environments. State oversight and reporting agencies play important roles in introducing information technologies into local court jurisdictions. The most important element that is missing from such initiatives, however, is a concern for integrated, practice-driven knowledge management processes. It is important to overcome the limited understanding that oversight agencies, technology vendors, and IT consulting firms have of local courts' work practices and knowledge management. To that end, the authors propose a model for integration of knowledge management work practices in local courts into large-scale state information systems. This model emphasizes the need for a holistic, well-integrated view of local practitioners' work and responsibilities

Type

a

0.0020106873 = product of:
  0.0040213745 = sum of:
    0.0040213745 = product of:
      0.008042749 = sum of:
        0.008042749 = weight(_text_:a in 2036) [ClassicSimilarity], result of:
          0.008042749 = score(doc=2036,freq=14.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = queryNorm
            0.1685276 = fieldWeight in 2036, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2036)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This paper reportes a study that investigated the effects of conceptual description and search practice on users' mental models and information seeking in a case-based reasoning retrieval (CBR) system with a best match search mechanism. This study also found examined how the presence of a mental model affects the users' search performance and satisfaction in this system. The results of this study revealed that the conceptual description and search practice treatments do not have significantly different effects on the types of user's mental models, search correctness, and search satisfaction. However, the search practice group spent significantly less time than the conceptual description group in finding the results. Qualitative analysis for the subjects' post mental models revealed that subjects in the conceptual description group seem to have more complete mental models of the best match system than those in the search practice group. This study also that subjects with the best match mental models have significantly higher search correctness and search result satisfaction than subjects without the best match mental models. However, the best match mental models do not guarantee less search time in finding the results. This study did not find a significant correlation among search time, search correctness and search satisfaction. The study concludes with suggestions for future research and implications for system developers who are interested in CBR retrieval systems.

Type

a

0.0018615347 = product of:
  0.0037230693 = sum of:
    0.0037230693 = product of:
      0.0074461387 = sum of:
        0.0074461387 = weight(_text_:a in 5922) [ClassicSimilarity], result of:
          0.0074461387 = score(doc=5922,freq=12.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = queryNorm
            0.15602624 = fieldWeight in 5922, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5922)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Purpose In order to understand the totality, diversity and richness of human information behavior, increasing research attention has been paid to examining serendipity in the context of information acquisition. However, several issues have arisen as this research subfield has tried to find its feet; we have used different, inconsistent terminology to define this phenomenon (e.g. information encountering, accidental information discovery, incidental information acquisition), the scope of the phenomenon has not been clearly defined and its nature was not fully understood or fleshed-out. Design/methodology/approach In this paper, information encountering (IE) was proposed as the preferred term for serendipity in the context of information acquisition. Findings A reconceptualized definition and scope of IE was presented, a temporal model of IE and a refined model of IE that integrates the IE process with contextual factors and extends previous models of IE to include additional information acquisition activities pre- and postencounter. Originality/value By providing a more precise definition, clearer scope and richer theoretical description of the nature of IE, there was hope to make the phenomenon of serendipity in the context of information acquisition more accessible, encouraging future research consistency and thereby promoting deeper, more unified theoretical development.

Type

a

0.001823924 = product of:
  0.003647848 = sum of:
    0.003647848 = product of:
      0.007295696 = sum of:
        0.007295696 = weight(_text_:a in 5465) [ClassicSimilarity], result of:
          0.007295696 = score(doc=5465,freq=18.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = queryNorm
            0.15287387 = fieldWeight in 5465, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=5465)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Purpose The purpose of this paper is to build upon the studies of journalism from an LIS perspective by exploring and differentiating the purposive behavior of newspaper reporters from their serendipitous encounters with information that lead to new story ideas. This paper also provides a path toward pedagogical improvements in training the modern journalism workforce in being more open to creative story ideas. Design/methodology/approach This study utilized semi-structured telephone interviews. Participants were recruited via e-mail after collecting contact information through the Cision database. The study sample was drawn from newspaper reporters who work at or freelance for the top 25 metropolitan newspapers in the USA, in terms of circulation size, based on data from the Alliance for Audited Media. A total of 15 participants were interviewed. Findings This paper provides insight into the story ideation process of journalists in that the study participants generally do not think about how they are coming up with story ideas as much as they are striving to place themselves in situations where, based on their experience and interests, they know they are more likely to encounter a good idea. Each encounter proved meaningful in some powerful fashion, which speaks to the historical importance of serendipity in achieving breakthroughs and discoveries in a wide variety of fields. Research limitations/implications The sampling frame for this study was relatively small, representing 8 percent of the total number of working newspaper journalists from the top 25 newspapers in the USA, in terms of circulation size. Therefore, the findings are not generalizable to the entire population of journalists in this country.
Practical implications The findings point to the importance of a prepared mind in facilitating serendipitous episodes. In the case of journalism, that means developing a heightened news sense and cultivating routines where they place themselves in trigger-rich environments. Pedagogically, journalism education must include courses in creative storytelling to help train the modern newspaper workforce in an ever-expanding and competitive media landscape. These courses, ideally paired with techniques and models from the field of information science and learning technologies, could help train young journalists in methods that enhance their ability to identify, seek and pursue serendipitous stories. Originality/value This paper fulfills a need in journalism studies in finding variability in news routines by utilizing an interdisciplinary approach that combines journalism studies and library and information science models to probe how journalists encounter ideas incidentally. Previous research in this area has focused on how news consumers serendipitously encounter information. This paper takes a fresh approach to explore how creative ideas are encountered serendipitously in the construction of news.

Type

a

0.001719612 = product of:
  0.003439224 = sum of:
    0.003439224 = product of:
      0.006878448 = sum of:
        0.006878448 = weight(_text_:a in 5567) [ClassicSimilarity], result of:
          0.006878448 = score(doc=5567,freq=4.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = queryNorm
            0.14413087 = fieldWeight in 5567, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0625 = fieldNorm(doc=5567)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Serendipity is a way of finding information on the Internet. Based on an explanatory study of information encountering in an academic environment considers: the characteristics of information encountered on the Internet, what discourages people from encountering information on the Internet, and how the encountered information is used and managed

Type

a

0.0015199365 = product of:
  0.003039873 = sum of:
    0.003039873 = product of:
      0.006079746 = sum of:
        0.006079746 = weight(_text_:a in 4977) [ClassicSimilarity], result of:
          0.006079746 = score(doc=4977,freq=8.0), product of:
            0.04772363 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.041389145 = queryNorm
            0.12739488 = fieldWeight in 4977, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4977)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

An efficient and robust medical-image indexing procedure should be user-oriented. It is essential to index the images at the right level of description and ensure that the indexed levels match the user's interest level. This study examines 240 medical-image descriptions produced by three different groups of medical-image users (novices, intermediates, and experts) in the area of radiography. This article reports several important findings: First, the effect of domain knowledge has a significant relationship with the use of semantic image attributes in image-users' descriptions. We found that experts employ more high-level image attributes which require high-reasoning or diagnostic knowledge to search for a medical image (Abstract Objects and Scenes) than do novices; novices are more likely to describe some basic objects which do not require much radiological knowledge to search for an image they need (Generic Objects) than are experts. Second, all image users in this study prefer to use image attributes of the semantic levels to represent the image that they desired to find, especially using those specific-level and scene-related attributes. Third, image attributes generated by medical-image users can be mapped to all levels of the pyramid model that was developed to structure visual information. Therefore, the pyramid model could be considered a robust instrument for indexing medical imagery.

Type

a