Elevating theoretical insight and predictive accuracy in business research : combining PLS-SEM and selected machine learning algorithms
Nicole Franziska Richter, Ana Alina Tudoran
| Year of publication: |
2024
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|---|---|
| Authors: | Richter, Nicole Franziska ; Tudoran, Ana Alina |
| Published in: |
Journal of business research : JBR. - New York, NY : Elsevier, ISSN 0148-2963, ZDB-ID 2013438-1. - Vol. 173.2024, Art.-No. 114453, p. 1-18
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| Subject: | Machine learning (ML) | Method triangulation | Partial least squares-structural equation modeling (PLS-SEM) | Prediction | Unified theory of acceptance and use of technology (UTAUT) | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Theorie | Theory | Algorithmus | Algorithm | Innovationsakzeptanz | Innovation adoption |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jbusres.2023.114453 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014547910