Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Kim, S., Lee, S., & Mc Culloch, R. (2024). A Topic-Based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews. Journal of Marketing Research (JMR), 61(6), 1132-1151. https://doi.org/10.1177/00222437241246752

ISO-690 (author-date, English)

KIM, Sunghoon, LEE, Sanghak und MCCULLOCH, Robert, 2024. A Topic-Based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews. Journal of Marketing Research (JMR). 1 Dezember 2024. Vol. 61, no. 6, p. 1132-1151. DOI 10.1177/00222437241246752.

Modern Language Association 9th edition

Kim, S., S. Lee, und R. Mc Culloch. „A Topic-Based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews.“. Journal of Marketing Research (JMR), Bd. 61, Nr. 6, Dezember 2024, S. 1132-51, https://doi.org/10.1177/00222437241246752.

Mohr Siebeck - Recht (Deutsch - Österreich)

Kim, Sunghoon/Lee, Sanghak/Mc Culloch, Robert: A Topic-Based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews., Journal of Marketing Research (JMR) 2024, 1132-1151.

Emerald - Harvard

Kim, S., Lee, S. und Mc Culloch, R. (2024), „A Topic-Based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews.“, Journal of Marketing Research (JMR), Vol. 61 No. 6, S. 1132-1151.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.