أعرض تسجيلة المادة بشكل مبسط

dc.creator Köllinger, Philipp
dc.creator Schade, Christian
dc.date 2003
dc.date.accessioned 2013-10-16T06:58:11Z
dc.date.available 2013-10-16T06:58:11Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/18082
dc.identifier ppn:371860725
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/18082
dc.description The paper analyzes factors that influence the adoption of e-learning and gives an example of how to forecast technology adoption based on a post-hoc predictive segmentation using a classification and regression tree (CART). We find strong evidence for the existence of technological interdependencies and organizational learning effects. Furthermore, we find different paths to e-learning adoption. The results of the analysis suggest a growing ?digital divide? among firms. We use cross-sectional data from a European survey about e-business in June 2002, covering almost 6,000 enterprises in 15 industry sectors and 4 countries. Comparing the predictive quality of CART, we find that CART outperforms a traditional logistic regression. The results are more parsimo-nious, i. e. CARTs use less explanatory variables, better interpretable since different paths of adoption are detected, and from a statistical standpoint, because interactions between the covariates are taken into account.
dc.language eng
dc.publisher Deutsches Institut für Wirtschaftsforschung (DIW) Berlin
dc.relation DIW-Diskussionspapiere 346
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject L29
dc.subject C14
dc.subject O30
dc.subject ddc:330
dc.subject Technology Adoption
dc.subject Path Dependence
dc.subject Interaction Between Different Technologies
dc.subject Regression Trees
dc.subject Predictive Segmentation
dc.subject Logistic Regression
dc.subject Computergestütztes Lernen
dc.subject Betriebliche Bildungsarbeit
dc.subject E-Business
dc.subject Innovationsdiffusion
dc.subject Schätzung
dc.subject EU-Staaten
dc.title Analyzing E-Learning Adoption via Recursive Partitioning
dc.type doc-type:workingPaper


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أعرض تسجيلة المادة بشكل مبسط