Search (11 results, page 1 of 1)

  • × theme_ss:"Informationsdienstleistungen"
  • × theme_ss:"Suchtaktik"
  1. Sheeja, N.K.: Science vs social science : a study of information-seeking behavior and user perceptions of academic researchers (2010) 0.02
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    Abstract
    Purpose - The purpose of this paper is to examine the information-seeking behavior of science and social science research scholars, including service effectiveness, satisfaction level on different type of sources and various methods adopted by the scholars for keeping up to date. Design/methodology/approach - Data were gathered using a questionnaire survey of 200, randomly selected, PhD students of science and social science departments of four universities in Kerala, India. Findings - Although similarities exist between social science and science PhD students with regard to information-seeking behavior, there are significant differences as well. There is a significant difference between science and social science scholars on the perception of the adequacy of print journals and database collection which are very relevant to the research purposes. There is no significant difference between science and social science scholars on the perception of the adequacy of e-journals, the most used source for keeping up to date. The study proved that scholars of both the fields are dissatisfied with the effectiveness of the library in keeping them up to date with latest developments. Originality/value - The study is based on actual situation and the result can be used for library service redesign for different types of users.
  2. Jordan, R.P.: Searching for information on tests : reference sources and a search strategy (1995) 0.02
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    Abstract
    Research methodologies in several of the social sciences require the use of tests. When assisting social science researchers who seek information on tests, reference librarians do not, themselves, always have direct access to the instruments. Librarians should not only have the knowledge that various print and electronic database resources are available to gain needed information, but they should also have a strategy by which these sources can be searched in an expedient and thorough manner. This paper offers such a search strategy which can be used with the materials commonly found in a large research or specialized test library
  3. Cole, C.; Kennedy, L.; Carter, S.: ¬The optimization of online searches through the labelling of a dynamic, situation-dependent information need : the reference interview and online searching for undergraduates doing a social-science assignment (1996) 0.02
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    Abstract
    Proposes a reference interview strategy that will allow the reference librarian to: efficiently assess the information need of undergraduates undertaking a social science assignment, label the information need, and assign the most appropriate online search strategy to satisfy this need
  4. Kuhlthau, C.C.: Developing a model of the library search process : cognitive and affective aspects (1988) 0.02
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  5. Stefl-Mabry, J.: ¬The reality of media preferences : do professional groups vary in awareness? (2005) 0.01
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    Abstract
    This study is based an earlier research by the author that employed social judgment analysis (SJA; J. SteflMabry, 2001, 2003) to identify the information judgment preferences held by professional groups. This study explores the extent to which individuals, professional groups, and subgroups are self-aware of their judgment profiles. Three specialized groups of professionals-law enforcement, medicine, and education-were chosen to determine if preference profiles cluster around professions or around demographic and other background variables. As the proliferation of data continues to increase, the need to understand users' media preference and selection decisions is of tremendous value to every industry, governmental agency, and institution of learning. In 1966, H. Menzel first raised concern about the reliability of users' to self-assess, and scientists continue to explore the issue of competency in human judgment. To understand the reliability of users' self-assessment regarding media preferences, this study examines the extent to which individuals and groups are self-aware of the empirical judgment profiles they employ in evaluating information source scenarios. This investigation explores the congruence of three groups of professionals' self-reported media preferences as compared to their empirical judgment values, as defined by social judgment analysis.
  6. Stefl-Mabry, J.: ¬A social judgment analysis of information source preference profiles : An exploratory study to empirically represent media selection patterns (2003) 0.01
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    Abstract
    To better understand how individuals and groups derive satisfaction from information, it is important to identify the information source preferences they apply in information seeking and decision making. Four informal propositions drove the structure and underlying logic of this study, forming a preliminary outline of a theory of information source preference profiles and their influence an information satisfaction. This study employed Social Judgment Analysis (SJA) to identify the information judgment preferences held by professional groups for six selected information sources: word of mouth, expert oral advice, Internet, print news, nonfiction books, and radio/television news. The research was designed as an hypotheses-generating exploratory study employing a purposive sample (n = 90) and generated four empirically supported, testable hypotheses about user satisfaction with information sources. The SJA judgment functions revealed the influences of volume and polarity (i.e., positive versus negative information) an information satisfaction. By advancing the understanding of how information source preferences can be identified empirically and their influence an information satisfaction, this research reflects a first, small step toward understanding "satisficing." Satisficing behaviors result in early termination of information search processes when individuals, facing incomplete information, are sufficiently satisfied to assume risks and execute decisions.
  7. Xie, I.: Information searching and search models (2009) 0.01
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    Abstract
    Key terms related to information searching and search models are defined. A historic context is provided to illustrate the evolution of the four main digital environments that users interact with in their search process to offer readers background information regarding the transition from manual information systems to computer-based information retrieval (IR) systems, as well as the transition from intermediary searching to end-user searching. Emphasis is placed on the review of different levels of information searching from search tactics/moves, search strategies, and usage patterns, to search models and associated factors in relation to task, user knowledge structure, IR system design, and social-organization context. Search models are further classified into two types, with one type illustrating information search process (ISP) and the other type emphasizing the factors that influence the process. In addition, unsolved problems and future research are discussed and suggested.
  8. Kuhlthau, C.C.: Information search process (ISP) model (2009) 0.01
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    Abstract
    The information search process (ISP) is a six-stage model of the users' holistic experience in the process of information seeking. The ISP model, based on two decades of empirical research, identifies three realms of experience: the affective (feelings), the cognitive (thoughts), and the physical (actions) common to each stage. These studies were among the first to investigate the affective aspects or the feelings of a person in the process of information seeking along with the cognitive and physical aspects. Central to the ISP is the notion that uncertainty, both affective and cognitive, increases and decreases in the process of information seeking. A principle of uncertainty for information seeking is proposed that states that information commonly increases uncertainty in the early stages of the search process. Increased uncertainty indicates a zone of intervention for intermediaries and system designers.
  9. Lin, S.-j.; Belkin, N.: Validation of a model of information seeking over multiple search sessions (2005) 0.00
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    Date
    10. 4.2005 14:52:22
  10. Koopmans, N.I.: What's your question? : The need for research information from the perspective of different user groups (2002) 0.00
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    Date
    2. 7.2005 12:22:50
  11. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35