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Deutsches Institut für Wirtschaftsforschung (DIW), Berlin >
DIW-Diskussionspapiere >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/18082
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Full metadata record
| DC Field | | Value | | Language |
| dc.contributor.author | | Köllinger, Philipp | | en_US |
| dc.contributor.author | | Schade, Christian | | en_US |
| dc.date.accessioned | | 2009-01-28T15:39:15Z | | - |
| dc.date.available | | 2009-01-28T15:39:15Z | | - |
| dc.date.issued | | 2003 | | en_US |
| dc.identifier.uri | | http://hdl.handle.net/10419/18082 | | - |
| dc.description.abstract | | 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. | | en_US |
| dc.language.iso | | eng | | en_US |
| dc.publisher | | Deutsches Institut für Wirtschaftsforschung (DIW) Berlin | | en_US |
| dc.relation.ispartofseries | | DIW-Diskussionspapiere 346 | | en_US |
| dc.subject.jel | | L29 | | en_US |
| dc.subject.jel | | C14 | | en_US |
| dc.subject.jel | | O30 | | en_US |
| dc.subject.ddc | | 330 | | en_US |
| dc.subject.keyword | | Technology Adoption | | en_US |
| dc.subject.keyword | | Path Dependence | | en_US |
| dc.subject.keyword | | Interaction Between Different Technologies | | en_US |
| dc.subject.keyword | | Regression Trees | | en_US |
| dc.subject.keyword | | Predictive Segmentation | | en_US |
| dc.subject.keyword | | Logistic Regression | | en_US |
| dc.subject.stw | | Computergestütztes Lernen | | en_US |
| dc.subject.stw | | Betriebliche Bildungsarbeit | | en_US |
| dc.subject.stw | | E-Business | | en_US |
| dc.subject.stw | | Innovationsdiffusion | | en_US |
| dc.subject.stw | | Schätzung | | en_US |
| dc.subject.stw | | EU-Staaten | | en_US |
| dc.title | | Analyzing E-Learning Adoption via Recursive Partitioning | | en_US |
| dc.type | | Working Paper | | en_US |
| dc.identifier.ppn | | 371860725 | | en_US |
| dc.rights | | http://www.econstor.eu/dspace/Nutzungsbedingungen | | - |
| Appears in Collections: | | Publikationen von Forscherinnen und Forschern des DIW DIW-Diskussionspapiere
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