Zöll, Anne ; Eitle, Verena ; Buxmann, Peter (2022)
Machine Learning Adoption based on the TOE Framework: A Quantitative Study.
Pacific Asia Conference on Information Systems. Taipei-Sydney (5. - 9. July 2022)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The increasing use of machine learning (ML) in businesses is ubiquitous in research and in practice. Even though ML has become one of the key technologies in recent years, organizations have difficulties adopting ML applications. Implementing ML is a challenging task for organizations due to its new programming paradigm and the significant organizational changes. In order to increase the adoption rate of ML, our study seeks to examine which generic and specific factors of the technological-organizational-environmental (TOE) framework leverage ML adoption. We validate the impact of these factors on ML adoption through a quantitative research design. Our study contributes to research by extending the TOE framework by adding ML specifications and demonstrating a moderator effect of firm size on the relationship between technology competence and ML adoption.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Zöll, Anne ; Eitle, Verena ; Buxmann, Peter |
| Art des Eintrags: | Bibliographie |
| Titel: | Machine Learning Adoption based on the TOE Framework: A Quantitative Study |
| Sprache: | Englisch |
| Publikationsjahr: | 7 Juli 2022 |
| Ort: | Taipei (virtuell) |
| Veranstaltungstitel: | Pacific Asia Conference on Information Systems |
| Veranstaltungsort: | Taipei-Sydney |
| Veranstaltungsdatum: | 5. - 9. July 2022 |
| URL / URN: | https://aisel.aisnet.org/pacis2022/131/ |
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| Kurzbeschreibung (Abstract): | The increasing use of machine learning (ML) in businesses is ubiquitous in research and in practice. Even though ML has become one of the key technologies in recent years, organizations have difficulties adopting ML applications. Implementing ML is a challenging task for organizations due to its new programming paradigm and the significant organizational changes. In order to increase the adoption rate of ML, our study seeks to examine which generic and specific factors of the technological-organizational-environmental (TOE) framework leverage ML adoption. We validate the impact of these factors on ML adoption through a quantitative research design. Our study contributes to research by extending the TOE framework by adding ML specifications and demonstrating a moderator effect of firm size on the relationship between technology competence and ML adoption. |
| Fachbereich(e)/-gebiet(e): | 01 Fachbereich Rechts- und Wirtschaftswissenschaften 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Wirtschaftsinformatik 01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Software Business & Information Management |
| Hinterlegungsdatum: | 30 Jun 2022 09:04 |
| Letzte Änderung: | 30 Jun 2022 09:04 |
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