Search (20 results, page 1 of 1)

0.0075082085 = product of:
  0.052557457 = sum of:
    0.052557457 = weight(_text_:based in 4253) [ClassicSimilarity], result of:
      0.052557457 = score(doc=4253,freq=10.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.44662142 = fieldWeight in 4253, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.046875 = fieldNorm(doc=4253)
  0.14285715 = coord(1/7)

Abstract

Drawing on the ideas of process philosophy, this study elaborates the nature of information-seeking process by approaching them as temporal developments. To this end, a conceptual analysis was made by comparing key models which approach information seeking as stage-based and cyclic processes. The nature of such processes was scrutinized by devoting attention to two main aspects, that is, the temporal order in which the constituents of information seeking appear during the process, and the changes occurring in the constituents. Stage-based approaches draw on linear time concept by conceptualizing such processes as sets of consecutive activities progressing toward a final point. Cyclic approaches conceptualize information-seeking processes as sets of iterative activities which may be repeated. The findings suggest that stage-based and cyclic approaches should not be opposite approaches; rather, they complement each other. However, cyclic models emphasizing the importance of feedback loops have gained more popularity in the modeling of web searching, whereas the interest in the development of stage-based approaches has decreased since the 1990s.

0.00447703 = product of:
  0.03133921 = sum of:
    0.03133921 = weight(_text_:based in 2401) [ClassicSimilarity], result of:
      0.03133921 = score(doc=2401,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.26631355 = fieldWeight in 2401, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0625 = fieldNorm(doc=2401)
  0.14285715 = coord(1/7)

Abstract

Reviews the sense-making theory which is based on constructivist assumptions on human information seeking and use. Focuses on the uses epistemic and practical interests of the theory, discussing them in relation to the interests of the traditional intermediary-centered approach. Sense-making theory is a programmatic research effort suggesting user-centered ideas for the conceptualization of the information seeking and use. Its contribution to LIS research is critique to the limitations of the traditional intermediary-centred approach

0.003957173 = product of:
  0.02770021 = sum of:
    0.02770021 = weight(_text_:based in 3162) [ClassicSimilarity], result of:
      0.02770021 = score(doc=3162,freq=4.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.23539014 = fieldWeight in 3162, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3162)
  0.14285715 = coord(1/7)

Abstract

This article elaborates the picture of information use from the perspective of interpreting informational cues about the attributes of entities. It is assumed that such activity draws on cognitive mechanisms that are employed as the constituents of diverse interpretation approaches to informational cues. The empirical data of the study were gathered by means of think aloud method from 16 prospective homebuyers in 2008. The participants interpreted informational cues available in announcements published in a printed housing listing issue and a Web-based information system serving the needs of prospective homebuyers. The data were examined by means of qualitative content analysis. By drawing on the findings of Zhang and her associates, the study revealed 7 cognitive mechanisms: identification of key attributes, specification, evaluation, comparison by similarity, comparison by differentiation, explanation, and conclusion. Three major approaches employed in the interpetation of informational cues were identified. The descriptive-evaluative approach draws on the identification and evaluation of individual attributes of an entity. The comparative approach is more sophisticated because it is based on the evaluation of the attributes by their perceived similarity or differentiation. Finally, the explanatory approach draws on the identification of attributes with causal potential.

0.003957173 = product of:
  0.02770021 = sum of:
    0.02770021 = weight(_text_:based in 3620) [ClassicSimilarity], result of:
      0.02770021 = score(doc=3620,freq=4.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.23539014 = fieldWeight in 3620, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3620)
  0.14285715 = coord(1/7)

Abstract

Purpose - The purpose of this paper is to elaborate how source preference criteria are defined in the context of everyday projects that require the seeking of problem-specific information. More specifically, to find out how information seekers explain their preference criteria by characterizing the perceived strengths and weaknesses of diverse sources. Design/methodology/approach - The approach takes the form of qualitative content analysis of empirical data gathered by semi-structured interviews with 16 prospective home buyers in 2008. The source preference criteria were elicited by making use of the construct of information source horizon. Findings - Networked sources were favoured most strongly, followed by printed media, human sources and organizational sources. Content of information was the primary source preference criterion. Availability of information was a fairly important criterion, while user characteristics, usability of information and situational factors were fairly marginal in this regard. In the definition of the preference criteria, more emphasis was placed on the perceived strengths than weaknesses of sources. Positive qualities such as "provides updated information" were referred to particularly while judging the relevance of the networked sources. Negative qualities like "outdated information" were primarily associated with printed media and organizational sources. Research limitations/implications - The study is exploratory, drawing on a relatively small sample recruited through a web-based service. Thus, the findings cannot be generalized to prospective home buyers. Practical implications - Prospective home buyers tend to favour web-based information sources and services. They should provide the customers with detailed information about the property, including photos. Originality/value - The paper specifies the picture of user-defined relevance judgment in the context of everyday life information seeking.

0.003957173 = product of:
  0.02770021 = sum of:
    0.02770021 = weight(_text_:based in 3029) [ClassicSimilarity], result of:
      0.02770021 = score(doc=3029,freq=4.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.23539014 = fieldWeight in 3029, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3029)
  0.14285715 = coord(1/7)

Abstract

Purpose - The purpose of this paper is to elaborate the picture of the nature of integrated models for information behaviour from the perspective of conceptual growth in this field of study. Design/methodology/approach - Conceptual analysis focusing on the ways in which the researchers have developed integrated models. The study concentrates on seven key models proposed by Bates, Choo and associates, Godbold, Robson and Robinson, and Wilson. Findings - Researchers have employed four main approaches to develop integrated models. First, such frameworks are based on the juxtaposition of individual models. Second, integrated models are built by cross-tabulating the components of diverse models. Third, such models are constructed by relating similar components of individual models. Finally, integrated models are built by incorporating components taken from diverse frameworks. The integrated models have contributed to conceptual growth in three major ways: first, by integrating formerly separate parts of knowledge; second, by generalizing and explaining lower abstraction-level knowledge through higher level constructs; and third, by expanding knowledge by identifying new characteristics of the object of study. Research limitations/implications - The findings are based on the comparison of seven models only. The integrated frameworks of information retrieval were excluded from the study. Originality/value - The study pioneers by providing an in-depth analysis the nature of integrated models for information behaviour. The findings contribute to the identification of the key factors of information behaviour.

0.003957173 = product of:
  0.02770021 = sum of:
    0.02770021 = weight(_text_:based in 4046) [ClassicSimilarity], result of:
      0.02770021 = score(doc=4046,freq=4.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.23539014 = fieldWeight in 4046, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4046)
  0.14285715 = coord(1/7)

Abstract

Purpose The purpose of this paper is to elaborate the picture of strategies and tactics for information seeking and searching by focusing on the heuristic elements of such strategies and tactics. Design/methodology/approach A conceptual analysis of a sample of 31 pertinent investigations was conducted to find out how researchers have approached heuristics in the above context since the 1970s. To achieve this, the study draws on the ideas produced within the research programmes on Heuristics and Biases, and Fast and Frugal Heuristics. Findings Researchers have approached the heuristic elements in three major ways. First, these elements are defined as general level constituents of browsing strategies in particular. Second, heuristics are approached as search tips. Third, there are examples of conceptualizations of individual heuristics. Familiarity heuristic suggests that people tend to prefer sources that have worked well in similar situations in the past. Recognition heuristic draws on an all-or-none distinction of the information objects, based on cues such as information scent. Finally, representativeness heuristic is based on recalling similar instances of events or objects and judging their typicality in terms of genres, for example. Research limitations/implications As the study focuses on three heuristics only, the findings cannot be generalized to describe the use of all heuristic elements of strategies and tactics for information seeking and searching. Originality/value The study pioneers by providing an in-depth analysis of the ways in which the heuristic elements are conceptualized in the context of information seeking and searching. The findings contribute to the elaboration of the conceptual issues of information behavior research.

0.003957173 = product of:
  0.02770021 = sum of:
    0.02770021 = weight(_text_:based in 5283) [ClassicSimilarity], result of:
      0.02770021 = score(doc=5283,freq=4.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.23539014 = fieldWeight in 5283, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5283)
  0.14285715 = coord(1/7)

Abstract

Purpose Drawing on the ideas of conversation analysis (CA), the purpose of this paper is to elaborate the picture of dialogical information seeking and sharing. To this end, information seeking and sharing are approached as interactive online talk occurring in an asynchronous discussion forum. Design/methodology/approach The conceptual framework is based on the elaboration of Schegloff's model for sequence organisation in spoken conversation. As a result, ten categories constitutive of asynchronous online talk were identified. It was further examined how online talk of this type is structured by expanded question - answers adjacency pairs and how such pairs are constitutive of dialogical information seeking and sharing. This question was explored by scrutinising 20 discussion threads downloaded from a do-it-yourself related online forum. Findings Four ideal typical patterns of asynchronous online talk were identified. Answering the question is a basic pattern of online talk, based on the provision of responses to an individual request. Specifying the answer, broadening the discussion topic and challenging the answer represent more sophisticated patterns incorporating post-expansions of diverse kind. Research limitations/implications As the study focusses on four patterns constitutive of online talk occurring in a particular domain, the findings cannot be generalised to depict the phenomena of dialogical information interaction as a whole. Further research is needed to scrutiny the particular features of asynchronous online talk in the context of dialogical information interaction. Originality/value The paper pioneers by examining the potential of CA in the micro-level study of dialogical information seeking and sharing structured by expanded adjacency pairs. The findings also identify the limitations of the conversation analytic methodology in the study of asynchronous online discourse.

0.003957173 = product of:
  0.02770021 = sum of:
    0.02770021 = weight(_text_:based in 526) [ClassicSimilarity], result of:
      0.02770021 = score(doc=526,freq=4.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.23539014 = fieldWeight in 526, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=526)
  0.14285715 = coord(1/7)

Abstract

The present study contributes to the development of integrated models for information behavior and practices at the domain-specific level. To this end, the model for everyday information practices proposed by Savolainen in 2008 is enhanced by integrating the element of information creating, based on Thomson's recent 2018 study. The integration resulted in the expanded model for everyday information practices. Using conceptual analysis, the above model was examined in light of conventional (positivist and post-positivist) and interpretive (social constructivist) criteria for theory assessment. The findings suggest that the integrated model meets best the interpretive criteria such as meaningfulness and understandability, mutuality of concepts and descriptive logic, empirical verifiability, and usefulness. In contrast, theoretical potential of the model is fairly limited when weighed against the conventional criteria, such as generalization and prediction. Overall, the findings suggest that, in its current form, the expanded model cannot be regarded as a "genuine theory" of everyday information practices. However, the model does incorporate many of the qualities characteristic of social scientific theories, and thus exhibits considerable theoretical potential. This is even more so if the interpretive, naturalistic basis of the data in which the expanded model is based is considered.

0.0039174017 = product of:
  0.02742181 = sum of:
    0.02742181 = weight(_text_:based in 4412) [ClassicSimilarity], result of:
      0.02742181 = score(doc=4412,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.23302436 = fieldWeight in 4412, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4412)
  0.14285715 = coord(1/7)

Abstract

Purpose - Describes the basic premises of three metatheories that represent important or emerging perspectives on information seeking, retrieval and knowledge formation in information science: constructivism, collectivism, and constructionism. Design/methodology/approach - Presents a literature-based conceptual analysis. Pinpoints the differences between the positions in their conceptions of language and the nature and origin of knowledge. Findings - Each of the three metatheories addresses and solves specific types of research questions and design problems. The metatheories thus complement one another. Each of the three metatheories encourages and constitutes a distinctive type of research and learning. Originality/value - Outlines each metatheory's specific fields of application.

0.0039174017 = product of:
  0.02742181 = sum of:
    0.02742181 = weight(_text_:based in 719) [ClassicSimilarity], result of:
      0.02742181 = score(doc=719,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.23302436 = fieldWeight in 719, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0546875 = fieldNorm(doc=719)
  0.14285715 = coord(1/7)

Abstract

Issues of becoming an Internet user primarily in non-work contexts are discussed. The author reviews individual, social and economic factors motivating network use. Main findings of an empirical study based on the interviews of 23 Finns in 1997 are analysed. In addition, comparisons are made with the findings of the Consumer Research Project (1996-98), conducted in Finland. The main motivating factors leading to network use were the requirements of work and study; also making everyday transactions easier, for example by home banking, was seen as important. The network connections were also acquired for keeping in contact with others and for hobbies, whereas entertainment purposes were not valued.

0.0033577727 = product of:
  0.023504408 = sum of:
    0.023504408 = weight(_text_:based in 564) [ClassicSimilarity], result of:
      0.023504408 = score(doc=564,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.19973516 = fieldWeight in 564, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.046875 = fieldNorm(doc=564)
  0.14285715 = coord(1/7)

Abstract

Purpose - The purpose of this article is to elaborate the picture of the processes of information use by comparing conceptualizations provided by the constructivist approach and the human information processing approach. Design/methodology/approach - The article is a conceptual analysis of major articles characterizing information use and human information processing in the fields of information studies and consumer research. Findings - It is found that both research approaches share the assumption that interpreting, relating and comparing qualities of things is fundamental to the information use process. Research limitations/implications - The picture of information use processes is based on the comparison of two research approaches only. Originality/value - Compared to the numerous studies on information needs and seeking, the questions of information use have remained under-researched. The study elaborates the conceptual picture of information use processes by identifying similarities and differences between two major research approaches.

0.0033577727 = product of:
  0.023504408 = sum of:
    0.023504408 = weight(_text_:based in 595) [ClassicSimilarity], result of:
      0.023504408 = score(doc=595,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.19973516 = fieldWeight in 595, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.046875 = fieldNorm(doc=595)
  0.14285715 = coord(1/7)

Abstract

This study focuses on the ways in which people define their source preferences in the context of seeking orienting information for nonwork purposes. The conceptual framework of the study combines ideas drawn from social phenomenology and information-seeking studies. The study utilizes Alfred Schutz's model describing the ways in which actors structure everyday knowledge into regions of decreasing relevance. It is assumed that this structuring based on the actor's interest at hand is also reflected in the ways in which an actor prefers information sources and channels. The concept of information source horizon is used to elicit articulations of source preferences. The empirical part of the study draws on interviews with 20 individuals active in environmental issues. Printed media (newspapers), the Internet, and broadcast media (radio, television) were preferred in seeking for orienting information. The major source preferences were content of information, and availability and accessibility. Usability of information sources, user characteristics such as media habits, and situational factors were mentioned less frequently as preference criteria.

0.0033577727 = product of:
  0.023504408 = sum of:
    0.023504408 = weight(_text_:based in 3428) [ClassicSimilarity], result of:
      0.023504408 = score(doc=3428,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.19973516 = fieldWeight in 3428, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.046875 = fieldNorm(doc=3428)
  0.14285715 = coord(1/7)

Abstract

Using Ellis's seminal model of information seeking as an example, this study demonstrates how the elaborations made to the original framework since the late 1980s have contributed to conceptual growth in information-seeking studies. To this end, nine key studies elaborating Ellis's model were scrutinized by conceptual analysis. The findings indicate that the elaborations are based on two main approaches: adding novel, context-specific components in the model and redefining and restructuring the components. The elaborations have contributed to conceptual growth in three major ways. First, integrating formerly separate parts of knowledge; second, generalizing and explaining lower abstraction-level knowledge through higher-level constructs; and third, expanding knowledge by identifying new characteristics of the object of study, that is, information-seeking behavior. Further elaboration of Ellis's model toward a theory would require more focused attempts to test hypotheses in work-related environments in particular.

0.0031657384 = product of:
  0.022160169 = sum of:
    0.022160169 = weight(_text_:based in 2319) [ClassicSimilarity], result of:
      0.022160169 = score(doc=2319,freq=4.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.18831211 = fieldWeight in 2319, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03125 = fieldNorm(doc=2319)
  0.14285715 = coord(1/7)

Abstract

Purpose - The purpose of this paper is to specify the role of emotions played in information seeking and sharing taking place in online discussion forum. To this end, an explorative study was made that focussed on consumer awareness. Design/methodology/approach - The study is based on the analysis of a sample of 30 discussion threads containing altogether 1,630 messages available in Canadian Content - a major online platform. The expression of emotions was examined by using the categories of the interaction process analysis (IPA) model. Two research questions were addressed: first, what kind of emotions are expressed in the four functional areas of the IPA model when discussing online about consumer awareness? and second, what is the role of positive and negative emotions in information seeking and sharing about the above topic? The data were analyzed by means of descriptive statistics and qualitative content analysis. Findings - Of the emotional expressions, 42 percent were positive and 58 percent negative. The most frequent emotions were amusement, contempt, worry, irritation and pleasure. The frequencies of positive and emotional expressions varied in the context of 12 IPA categories. Positive emotions predominated when participants showed solidarity or agreed, while negative emotions were particularly prevalent when indicating antagonism. The repertoire of positive and negative emotions was broadest while providing opinions or sharing information with others. In contrast, emotions were expressed rarely in the context of information seeking. Research limitations/implications - The study is explorative in nature and the findings are based on the examination of an online discussion group focussed on the issues of consumer awareness. Originality/value - The study contributes to the study of affective factors in computer-mediated interaction by empirically specifying the repertoire of positive and negative emotions expressed in online discussion.

0.002798144 = product of:
  0.019587006 = sum of:
    0.019587006 = weight(_text_:based in 2034) [ClassicSimilarity], result of:
      0.019587006 = score(doc=2034,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.16644597 = fieldWeight in 2034, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2034)
  0.14285715 = coord(1/7)

Abstract

The study focuses on the ways in which people define their source preferences in the context of seeking problem-specific information for non-work purposes. The conceptual framework draws on two major concepts, that is, information source horizon and information pathways. The former denotes the ways information sources are mapped in preference order in an imaginary field, while information pathways refers to the sequences in which sources placed on the information source horizon are actually used. The empirical part of the study draws on semi-structured interviews with 18 individuals active in environmental issues. Human sources and the Internet were preferred most strongly in seeking for problem-based information. The major source preferences were content of information, and availability and accessibility. Usability of information sources and user characteristics were mentioned less frequently as preference criteria. Typically, information pathways consisted of the use of 3-4 sources. On average, human and networked sources were favored in the early phases of information seeking. Printed media such as magazines and organizational sources were often used to complement information received from human sources and the Internet. However, the source preferences varied considerably, depending on the requirements of the problem at hand.

0.002798144 = product of:
  0.019587006 = sum of:
    0.019587006 = weight(_text_:based in 1660) [ClassicSimilarity], result of:
      0.019587006 = score(doc=1660,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.16644597 = fieldWeight in 1660, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1660)
  0.14285715 = coord(1/7)

Abstract

This study examines the ways in which informational support based on user-generated content is provided for the needs of leisure-related travel planning in an online discussion group and a Q&A site. Attention is paid to the grounds by which the participants bolster the informational support. The findings draw on the analysis of 200 threads of a Finnish online discussion group and a Yahoo! Answers Q&A (question and answer) forum. Three main types of informational support were identified: providing factual information, providing advice, and providing personal opinion. The grounds used in the answers varied across the types of informational support. While providing factual information, the most popular ground was description of the attributes of an entity. In the context of providing advice, reference to external sources of information was employed most frequently. Finally, although providing personal opinions, the participants most often bolstered their views by articulating positive or negative evaluations of an entity. Overall, regarding the grounds, there were more similarities than differences between the discussion group and the Q&A site.

0.002798144 = product of:
  0.019587006 = sum of:
    0.019587006 = weight(_text_:based in 1789) [ClassicSimilarity], result of:
      0.019587006 = score(doc=1789,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.16644597 = fieldWeight in 1789, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1789)
  0.14285715 = coord(1/7)

Abstract

Purpose - The purpose of this paper is to elaborate the conceptual picture of the relationships between the affective and cognitive factors in information seeking and use. Design/methodology/approach - Conceptual analysis focusing on the ways in which the affective and cognitive factors and their interplay are approached in the Information Search Process model developed by Carol Kuhlthau, and the Social-Biological Information Technology model elaborated by Diane Nahl. Findings - Kuhlthau's model approaches the cognitive factors (thoughts) and affective factors (feelings) and affective-cognitive factors (mood) as integral constituents of the six-stage information search process. Thoughts determine the valence of feelings (positive or negative), while mood opens or closes the range of possibilities in a search. Nahl's taxonomic model defines the affective and cognitive factors as components of a biologically determined process serving the ends of adaptation to information ecology. The interplay of the above factors is conceptualized by focusing on their mutual roles in the cognitive and affective appraisal of information. Research limitations/implications - The findings are based on the comparison of two models only. Originality/value - So far, information scientists have largely ignored the study of the interplay between affective and cognitive factors in information seeking and use. The findings indicate that the examination of these factors together rather than separately holds a good potential to elaborate the holistic picture of information seeking and use.

0.002798144 = product of:
  0.019587006 = sum of:
    0.019587006 = weight(_text_:based in 5914) [ClassicSimilarity], result of:
      0.019587006 = score(doc=5914,freq=2.0), product of:
        0.11767787 = queryWeight, product of:
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.03905679 = queryNorm
        0.16644597 = fieldWeight in 5914, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.0129938 = idf(docFreq=5906, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5914)
  0.14285715 = coord(1/7)

Abstract

The aim of the study was to develop an empirical measure for everyday information mastering (EIM). EIM describes the ways that individuals, based on their beliefs, attitudes, and expectations, orient themselves to information as a resource of everyday action. The key features of EIM were identified by conceptual analysis focusing on three EIM frameworks. Four modes of EIM-Proactive, Social, Reactive, and Passive-and their 12 constituents were identified. A survey of 39 items was developed in two pilot studies to operationalize the identified modes as measurable EIM constituents. The respondents in the main study were upper secondary school students (n = 412). Exploratory factor analysis (EFA) was applied to validate subscales for each EIM constituent. Seven subscales emerged: Inquiring and Scanning in the Proactive mode, Social media-centered, and Experiential in the Social mode, and Information poor, Overwhelmed, and Blunting in the Passive mode. Two constituents, Serendipitous and Intuitive, were not supported in the EFA. The findings highlight that the core constituents of an individual's everyday information mastering can be operationalized as psychometric scales. The instrument contributes to the systematic empirical study of EIM constituents and their relationships. The study further sheds light on key modes of EIM.

0.0018898771 = product of:
  0.013229139 = sum of:
    0.013229139 = product of:
      0.026458278 = sum of:
        0.026458278 = weight(_text_:22 in 3713) [ClassicSimilarity], result of:
          0.026458278 = score(doc=3713,freq=2.0), product of:
            0.13677022 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03905679 = queryNorm
            0.19345059 = fieldWeight in 3713, 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=3713)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)

Date

20. 1.2015 18:30:22

0.0018898771 = product of:
  0.013229139 = sum of:
    0.013229139 = product of:
      0.026458278 = sum of:
        0.026458278 = weight(_text_:22 in 5498) [ClassicSimilarity], result of:
          0.026458278 = score(doc=5498,freq=2.0), product of:
            0.13677022 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03905679 = queryNorm
            0.19345059 = fieldWeight in 5498, 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=5498)
      0.5 = coord(1/2)
  0.14285715 = coord(1/7)

Date

20. 1.2015 18:30:22