The expansion of marketing data is encouraging the growing use of deep learning in marketing. I summarize the intuition behind deep learning and explain the mechanisms of six popular algorithms: three discriminative (CNN, RNN, and Transformer), two generative (VAE and GAN), and one RL (DQN). I...

In the rapidly growing influencer marketing industry, positive consumer sentiment toward sponsored content is critical for the success of sponsoring brands and influencers alike. Unfortunately, consumers tend to react more negatively to sponsored videos than to non-sponsored videos. This paper...

In recent years, road traffic accidents, as a leading cause of accidental deaths, have been attracting more and more attention across several disciplines. Notably, the feature study on accidents severity can help exactly identify causality between different risk factors and road accidents,...

BiFeO 3 -BaTiO 3 system has a good application prospect in the field of high temperature lead-free piezoelectric ceramics because of the high Curie temperature and strong piezoelectric characteristics. In this work, the trace Mn 4+ -modified 0.7BiFeO 3 -0.3BaTiO 3 ceramics (0.7BF-0.3BT- x Mn)...

Amorphous silica (a-SiO2) exhibits unique thermo-mechanical behaviors that set it apart from other glasses. However, there is still limited understanding of how this mechanical behavior is related to the atomic structure and to the preparation conditions of a-SiO2. Here, we used electron beam...

We provide evidence that bank capitalization and loan-loss reserving jointly determine pro-cyclicality in lending. Using the Global Financial Crisis of 2007-2009 as our context, we document that even banks with high regulatory capital buffers (High RCB banks) reduce lending during the crisis....

In 2003, China launched the New Cooperative Medical Scheme (NCMS), a public healthcare plan targeting rural households. While the literature mostly considers the impact of NCMS coverage on health outcomes, we investigate potential impacts on labor supply and household savings levels. To mitigate...

This study proposes a new VMD-ICEEMDAN-LSTM model, that combines secondary decomposition with long short-term memory neural networks (LSTM) to forecast realized volatility (RV) of Chinese crude oil futures. First, RV sequence is decomposed into sub-components and residuals using variational mode...

While livestream shopping has attracted enormous attention in the e-commerce world, whether and how it can help online sellers remains questionable. We study the effect of adopting the livestream shopping channel on seller performance. We analyze 2,851 online sellers who adopted the livestream...

Celebrities have extraordinary abilities to attract and influence others. Predicting celebrity visual potential is important in the domains of business, politics, media, and entertainment. Can we use human faces to predict celebrity visual potential? If so, which facial features have the most...