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41.
Knowledge management has emerged as an important field for practice and research in information systems. This field is building on theoretical foundations from information economics, strategic management, organizational culture, organizational behavior, organizational structure, artificial intelligence, quality management, and organizational performance measurement. These theories are being used as foundations for new concepts that provide a rationale for managing knowledge, define the process of managing knowledge, and enable us to evaluate the results of this process. Based on articles published between 1995 and 2005, new concepts are emerging, including knowledge economy, knowledge alliance, knowledge culture, knowledge organization, knowledge infrastructure, and knowledge equity. An analysis of the theoretical foundations of knowledge management reveals a healthy arena with a strong foundation and clear directions for future work. 相似文献
42.
Marie Wiberg Wim J. van der Linden Alina A. von Davier 《Journal of Educational Measurement》2014,51(1):57-74
Three local observed‐score kernel equating methods that integrate methods from the local equating and kernel equating frameworks are proposed. The new methods were compared with their earlier counterparts with respect to such measures as bias—as defined by Lord's criterion of equity—and percent relative error. The local kernel item response theory observed‐score equating method, which can be used for any of the common equating designs, had a small amount of bias, a low percent relative error, and a relatively low kernel standard error of equating, even when the accuracy of the test was reduced. The local kernel equating methods for the nonequivalent groups with anchor test generally had low bias and were quite stable against changes in the accuracy or length of the anchor test. Although all proposed methods showed small percent relative errors, the local kernel equating methods for the nonequivalent groups with anchor test design had somewhat larger standard error of equating than their kernel method counterparts. 相似文献
43.
We investigate the current bandwidth selection methods in kernel equating and propose a method based on Silverman's rule of thumb for selecting the bandwidth parameters. In kernel equating, the bandwidth parameters have previously been obtained by minimizing a penalty function. This minimization process has been criticized by practitioners for being too complex and that it does not offer sufficient smoothing in certain cases. In addition, the bandwidth parameters have been treated as constants in the derivation of the standard error of equating even when they were selected by considering the observed data. Here, the bandwidth selection is simplified, and modified standard errors of equating (SEEs) that reflect the bandwidth selection method are derived. The method is illustrated with real data examples and simulated data. 相似文献