About: Information behavior is a research topic. Over the lifetime, 1604 publications have been published within this topic receiving 34867 citations. The topic is also known as: information behaviour.
Papers published on a yearly basis
TL;DR: The concept of information richness is introduced, and three models of information processing are proposed that describe (1) manager information behavior, (2) organizational mechanisms for coping with equivocality from the environment, and (3) organizational mechanism for internal coordination.
Abstract: : This paper introduces the concept of information richness, and proposes three models of information processing. The models describe (1) manager information behavior, (2) organizational mechanisms for coping with equivocality from the environment, and (3) organizational mechanisms for internal coordination. Concepts developed by Weick (1979) and Galbraith (1973) are integrated into two information tasks: equivocality reduction and the processing of a sufficient amount of information. The premise of this paper is that the accomplishment of these information tasks and the ultimate success of the organization are related to the balance of information richness used in the organization.
TL;DR: An alternative, problem‐solving model is presented, which, it is suggested, provides a basis for relating the models of information seeking and other aspects of information behaviour in appropriate research strategies.
Abstract: This paper presents an outline of models of information seeking and other aspects of information behaviour, showing the relationship between communication and information behaviour in general with information seeking and information searching in information retrieval systems. It is suggested that these models address issues at various levels of information behaviour and that they can be related by envisaging a ‘nesting’ of models. It is also suggested that, within both information seeking research and information searching research, alternative models address similar issues in related ways and that the models are complementary rather than conflicting. Finally, an alternative, problem‐solving model is presented, which, it is suggested, provides a basis for relating the models in appropriate research strategies.
TL;DR: Findings are pointed to that enable the system designer to put the design process in the wider context of the user in the organization.
Abstract: Introduction Until recently the computer science and information systems communities have equated 'information requirements' of users with the way users behave in relation to the systems available. In other words, investigations into information requirements were concerned almost entirely with how a user navigated a given system and what he or she could do with the data (rather than information) made available by information systems. This is now beginning to change as ethnographic methods are introduced into the requirements definition stage of systems design, and Beyer and Holtzblatt (1998) have shown the benefits. However, even when such methods are employed, the designers appear to be asking, "How is this person using the system?" rather than seeking to determine what the individual's (or the organization's) information needs may be and how information seeking behavior relates to other, task-oriented behavior. In fact, a concern with what information is needed has been the province not of information systems as a discipline, but of information science and, before that, librarianship. To these fields we can add consumer behavior research, marketing, psychology, health communication research, and a number of other disciplines that take the user as the focus of interest, rather than the system. The aim of this paper is to review some of this research and to point to findings that enable the system designer to put the design process in the wider context of the user in the organization. Some Definitions Some definitions are needed before we go further. In this paper, four terms are used: information behavior, information seeking behavior, information searching behavior and information use behavior. They are defined as follows: Information Behavior is the totality of human behavior in relation to sources and channels of information, including both active and passive information seeking, and information use. Thus, it includes face-to-face communication with others, as well as the passive reception of information as in, for example, watching TV advertisements, without any intention to act on the information given. Information Seeking Behavior is the purposive seeking for information as a consequence of a need to satisfy some goal. In the course of seeking, the individual may interact with manual information systems (such as a newspaper or a library), or with computer-based systems (such as the World Wide Web). Information Searching Behavior is the 'micro-level' of behavior employed by the searcher in interacting with information systems of all kinds. It consists of all the interactions with the system, whether at the level of human computer interaction (for example, use of the mouse and clicks on links) or at the intellectual level (for example, adopting a Boolean search strategy or determining the criteria for deciding which of two books selected from adjacent places on a library shelf is most useful), which will also involve mental acts, such as judging the relevance of data or information retrieved. Information Use Behavior consists of the physical and mental acts involved in incorporating the information found into the person's existing knowledge base. It may involve, therefore, physical acts such as marking sections in a text to note their importance or significance, as well as mental acts that involve, for example, comparison of new information with existing knowledge. In all of the above definitions data is subsumed under information, that is, data may or may not be information depending upon the state of understanding of the information user. A datum such as "hbar=h/2pi = 6.58*10 [conjunction] -25 GeV s = 1.05*10 [conjunction]-34 J s" does not inform me because I have no framework of understanding in which to incorporate the datum. …
19 Apr 2012
TL;DR: In this paper, the authors introduce concepts relevant to Information Behavior Models, Paradigms, and Theories in the study of Information Behavior Methods for Studying Information Behavior Research Results and Reflections.
Abstract: Abbreviated Contents Figures and Tables Preface Introduction and Examples Concepts Relevant to Information Behavior Models, Paradigms, and Theories in the Study of Information Behavior Methods for Studying Information Behavior Research Results and Reflections Appendix: Glossary Appendix: Questions for Discussion and Application References Index
TL;DR: The relationships of task complexity, necessary information types, information channels, and sources are analyzed at the task level on the basis of a qualitative investigation using diaries, questionnaires, and questionnaires.
Abstract: It is nowadays generally agreed that a person's information seeking depends on his or her tasks and the problems encountered in performing them. The relationships of broad job types and information-seeking characteristics have been analyzed both conceptually and empirically, mostly through questionnaires after task performance rather than during task performance. In this article, the relationships of task complexity, necessary information types, information channels, and sources are analyzed at the task level on the basis of a qualitative investigation. Tasks were categorized in five complexity classes and information into problem information, domain information, and problem-solving information. Moreover, several classifications of information channels and sources were utilized. The data were collected in a public administration setting through diaries, which were written during task performance, and questionnaires. The findings were structured into work charts for each task and summarized in qualitative process description tables for each task complexity category. Quantitative indices further summarizing the results were also computed. The findings indicate systematic and logical relationships among task complexity, types of information, information channels, and sources.
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