Browsing NTNU Open by Journals "Decision Support Systems"
Now showing items 1-5 of 5
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All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning
(Journal article; Peer reviewed, 2023)Understanding what information is important for consumers when making a purchase-related decision has been a key question for researchers and practitioners ever since the advent of empirical research in commerce. Nevertheless, ... -
Do President Trump's tweets affect financial markets?
(Peer reviewed; Journal article, 2021)Frequent tweets of the former president of the United States, Donald Trump, provide a unique opportunity to study how financial markets respond to his statements. To do this, we utilize a precise timestamp of each tweet ... -
Exploring the effect of digital CSR communication on firm performance: A deep learning approach
(Peer reviewed; Journal article, 2023)This study proposes a novel research framework to examine the effect of digital CSR communications on financial performance while incorporating deep learning techniques to identify firms' CSR communications on social media. ... -
Locally interpretable tree boosting: An application to house price prediction
(Journal article; Peer reviewed, 2023) -
Locally interpretable tree boosting: An application to house price prediction
(Peer reviewed; Journal article, 2023)We introduce Locally Interpretable Tree Boosting (LitBoost), a tree boosting model tailored to applications where the data comes from several heterogeneous yet known groups with a limited number of observations per group. ...