The Experts below are selected from a list of 18570 Experts worldwide ranked by ideXlab platform

Allen Foster - One of the best experts on this subject based on the ideXlab platform.

  • a nonlinear model of Information Seeking Behavior
    Journal of the Association for Information Science and Technology, 2004
    Co-Authors: Allen Foster
    Abstract:

    This paper offers a new, nonlinear model of Information-Seeking Behavior, which contrasts with earlier stage models of Information Behavior and represents a potential cornerstone for a shift toward a new perspective for understanding user Information Behavior. The model is based on the findings of a study on interdisciplinary Information-Seeking Behavior. The study followed a naturalistic inquiry approach using interviews of 45 academics. The interview results were inductively analyzed and an alternative framework for understanding Information-Seeking Behavior was developed. This model illustrates three core processes and three levels of contextual interaction, each composed of several individual activities and attributes. These interact dynamically through time in a nonlinear manner. The Behavioral patterns are analogous to an artist's palette, in which activities remain available throughout the course of Information-Seeking. In viewing the processes in this way, neither start nor finish points are fixed, and each process may be repeated or lead to any other until either the query or context determine that Information-Seeking can end. The interactivity and shifts described by the model show Information-Seeking to be nonlinear, dynamic, holistic, and flowing. The paper offers four main implications of the model as it applies to existing theory and models, requirements for future research, and the development of Information literacy curricula. Central to these implications is the creation of a new nonlinear perspective from which user Information-Seeking can be interpreted.

Helen R. Tibbo - One of the best experts on this subject based on the ideXlab platform.

  • Modeling the Information-Seeking Behavior of social scientists: Ellis's study revisited
    Journal of the American Society for Information Science and Technology, 2003
    Co-Authors: Lokman I. Meho, Helen R. Tibbo
    Abstract:

    This paper revises David Ellis's Information-Seeking Behavior model of social scientists, which includes six generic features: starting, chaining, browsing, differentiating, monitoring, and extracting. The paper uses social science faculty researching stateless nations as the study population. The description and analysis of the Information-Seeking Behavior of this group of scholars is based on data collected through structured and semi-structured electronic mail interviews. Sixty faculty members from 14 different countries were interviewed by e-mail. For reality check purposes, face-to-face interviews with five faculty members were also conducted. Although the study confirmed Ellis's model, it found that a fuller description of the Information-Seeking process of social scientists studying stateless nations should include four additional features besides those identified by Ellis. These new features are: accessing, networking, verifying, and Information managing. In view of that, the study develops a new model, which, unlike Ellis's, groups all the features into four interrelated stages: searching, accessing, processing, and ending. This new model is fully described and its implications on research and practice are discussed. How and why scholars studied here are different than other academic social scientists is also discussed.

Fosterallen - One of the best experts on this subject based on the ideXlab platform.

Nancy K. Roderer - One of the best experts on this subject based on the ideXlab platform.

  • User Information Seeking Behavior in a medical web portal environment: a preliminary study
    Journal of the American Society for Information Science and Technology, 2004
    Co-Authors: Dongming Zhang, Caroline Zambrowicz, Hong Zhou, Nancy K. Roderer
    Abstract:

    The emergence of Information portal systems in the past few years has led to a greatly enhanced Web-based environment for users Seeking Information online. While considerable research has been conducted on user Information-Seeking Behavior in regular IR environments over the past decade, this paper focuses specifically on how users in a medical science and clinical setting carry out their daily Information Seeking through a customizable Information portal system (MyWelch). We describe our initial study on analyzing Web usage data from My-Welch to see whether the results conform to the features and patterns established in current Information-Seeking models, present several observations regarding user Information-Seeking Behavior in a portal environment, outline possible long-term user Information-Seeking patterns based on usage data, and discuss the direction of future research on user Information-Seeking Behavior in the MyWelch portal environment.

Munasinghe - One of the best experts on this subject based on the ideXlab platform.

  • Information Seeking Behavior of Undergraduates of Sri Lanka in Digital/Online Environment
    Social Science Research Network, 2014
    Co-Authors: Munasinghe
    Abstract:

    Undergraduates have to get up-to-date, quickly and accurate Information mixing with digital/online tools to fulfill their Information gap. The aim of this research was to find which factors affect to undergraduate online/digital Information Seeking Behavior of Sri Lanka. The study is compiled with data gathered from questionnaires of 150 undergraduate from three Universities. Research mainly, focused on the models of Information Seeking Behavior and technology acceptance. Ease of use of technology, Usefulness of technology, Information need and Information use were considered as independent variable and all of them are positively correlated and are identified as significant with the Behavior of online Information Seeking. The relationship between Information need and Information Seeking Behavior on digital/online environment shows the highest positive correlation coefficient. Undergraduates seek more Information on line Information on digital/online environment. Therefore, traditional universities should provide more online facilities for undergraduates to improve their knowledge and skills.