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CRM in social media : predicting increases in Facebook usage frequency

Ballings, Michel; Van den Poel, Dirk - In: European journal of operational research : EJOR 244 (2015) 1, pp. 248-260

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When does online review matter to consumers? : the effect of product quality information cues

Kim, Rae Yule - In: Electronic commerce research 21 (2021) 4, pp. 1011-1030

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Customer integration 4.0 : leveraging customer knowledge in innovation processes by using digital technologies

Füller, Kathrin Jasmin - 2017

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What does your Facebook profile reveal about your creditworthiness? : using alternative data for microfinance

De Cnudde, Sofie; Moeyersoms, Julie; Stankova, Marija; … - In: Journal of the Operational Research Society 70 (2019) 3, pp. 353-363

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Predicting online invitation responses with a competing risk model using privacy-friendly social event data

Li, Libo - In: European journal of operational research : EJOR 270 (2018) 2, pp. 698-708

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Modeling dynamic user interests : a neural matrix factorization approach

Dhillon, Paramveer S.; Aral, Sinan - In: Marketing science : the marketing journal of the … 40 (2021) 6, pp. 1059-1080

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Does high-frequency social media data improve forecasts of low-frequency consumer confidence measures?

Lehrer, Steven F.; Xie, Tian; Zeng, Tao - In: Journal of financial econometrics 19 (2021) 5, pp. 910-933

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Artificial intelligent technologies for the construction industry : how are they perceived and utilized in Australia?

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Artificial intelligence (AI) is a powerful technology that can be utilized throughout a construction project lifecycle. Transition to incorporate AI technologies in the construction industry has been delayed due to the lack of know-how and research. There is also a knowledge gap regarding how...

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Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings

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Li, Zhepeng; Ge, Yong; Bai, Xue - In: MIS quarterly 45 (2021) 2, pp. 925-966

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