Search (34 results, page 2 of 2)

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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.

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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.

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Abstract

The conceptual issues of information use are discussed by reviewing the major ideas of sense-making methodology developed by Brenda Dervin. Sense-making methodology approaches the phenomena of information use by drawing on the metaphor of gap-bridging. The nature of this metaphor is explored by utilizing the ideas of metaphor analysis suggested by Lakoff and Johnson. First, the source domain of the metaphor is characterized by utilizing the graphical illustrations of sense-making metaphors. Second, the target domain of the metaphor is analyzed by scrutinizing Dervin's key writings on information seeking and use. The metaphor of gap-bridging does not suggest a substantive conception of information use; the metaphor gives methodological and heuristic guidance to posit contextual questions as to how people interpret information to make sense of it. Specifically, these questions focus on the ways in which cognitive, affective, and other elements useful for the sense-making process are constructed and shaped to bridge the gap. Ultimately, the key question of information use studies is how people design information in context.

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Abstract

Information seeking may be analyzed in two major contexts: job-related and nonwork. The present entry concentrates on nonwork information seeking, more properly called everyday life information seeking (ELIS). Typically, ELIS studies discuss the ways in which people access and use various information sources to meet information needs in areas such as health, consumption, and leisure. The entry specifies the concept of ELIS and characterizes the major ELIS models. They include the Sense-Making approach (Dervin), the Small world theory (Chatman), the ecological model of ELIS (Williamson), ELIS in the context of way of life (Savolainen), the model of information practices (McKenzie), and the concept of information grounds (Fisher). ELIS practices tend to draw on the habitualized use of a limited number of sources which have been found useful in previous use contexts. Since the late 1990s, the Internet has increasingly affected the ELIS practices by providing easily accessible sources. Even though the popularity of the networked sources has grown rapidly they will complement, rather than replace, more traditional sources and channels.

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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.

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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.

Type

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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.

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