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The authors propose a convergent model for information literacy (IL) based on complementary proficiencies in research and web literacy. Within this integrated framework, information technology (IT) is an essential dynamic in IL instruction. This model was designed, implemented and tested in an upper-level discipline-specific undergraduate information science (IS) course that requires students to develop research-oriented web pages. This study finds that student familiarity with IL and IT increased in this course. In addition, students who indicated a familiarity with certain web design terms also reported a familiarity with certain IL terms. A factor analysis of survey data indicates that a correlation may exist between research and web design in the development of comprehensive IL knowledge. This paper identifies three dimensions of IL and IT: web environment knowledge, web development knowledge, and research skills. This model is portable to other courses, programs, and organizations engaged in IL and IT instruction. [ABSTRACT FROM AUTHOR]

For pattern recognition, the weight of the feature index is very important and is usually used to measure the feature index's importance. The weight is usually divided into two types. One is determined by the knowledge and experience of experts or individuals, and called subjective weight; the other is based on statistical properties and measurement data, and is called objective weight. In this paper, a new objective weight, information entropy weight (IEW) is defined and constructed based on information entropy and the practical background of the survey data. On the basis of gray relation analysis and IEW presented here, a new concept of information incidence degree (IID) is proposed. A new method of incidence pattern recognition based on IID is set up, and applied to soil nutrient data processing. The results of simulation application show that the method presented here is feasible and effective. It provides a new research approach for information pattern recognition. [ABSTRACT FROM AUTHOR]

Scholars in many disciplines have considered the antecedents and consequences of various forms of trust. This paper generates 11 propositions exploring the relationship between Human Resource Information Systems (HRIS) and the trust an individual places in the inanimate technology (technology trust) and models the effect of those relationships on HRIS implementation success. Specifically, organizational, technological, and user factors are considered and modeled to generate a set of testable propositions that can subsequently be investigated in various organizational settings. Eleven propositions are offered suggesting that organizational trust, pooled interdependence, organizational community, organizational culture, technology adoption, technology utility, technology usability, socialization, sensitivity to privacy, and predisposition to trust influence an individual's level of trust in the HRIS technology (technology trust) and ultimately the success of an HRIS implementation process. A summary of the relationships between the key constructs in the model and recommendations for future research are provided. [ABSTRACT FROM AUTHOR]

The article discusses the content of the articles within the issue. The first four articles in this issue focus on the psychology of information and information systems. One article analyzes the notion of information privacy. In the paper of Gail Rein, she explores the conceptualization and encoding of reputation. Another paper, combines psychology, linguistics and information architecture to explore how the precise wording used in menus and hyperlinks affects end user behavior on website. Finally, the author builds on this new media theme, recognizing that the information world is shifting towards streaming sources where information is fed continuously to many devices.