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Cho, Taejun; Korte, Russell – Asia Pacific Education Review, 2014
The main purpose of the current study is to validate the framework of knowledge management (KM) capabilities created by Gold ("Towards a theory of organizational knowledge management capabilities." Doctoral dissertation, University of North Carolina, Chapel Hill) 2001) in a study of South Korean companies. However, the original framework…
Descriptors: Knowledge Management, Models, Incentives, Organizational Development
Hirschfeld, Robert R.; Thomas, Christopher H.; McNatt, D. Brian – Educational and Psychological Measurement, 2008
The authors explored implications of individuals' self-deception (a trait) for their self-reported intrinsic and extrinsic motivational dispositions and their actual learning performance. In doing so, a higher order structural model was developed and tested in which intrinsic and extrinsic motivational dispositions were underlying factors that…
Descriptors: Deception, Predictor Variables, Motivation, Incentives
Goldhaber, Dan; DeArmond, Michael; Player, Daniel; Choi, Hyung-Jai – Journal of Education Finance, 2008
This article presents a principal-agent model in the context of public schools to help explain the use of merit pay for teachers. The model considers how both the nature of teaching and the political costs of union resistance affect school district merit pay decisions. Our results support the idea that merit pay is more likely in environments…
Descriptors: Merit Pay, Academic Achievement, Teacher Salaries, School Districts
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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