We propose a “visual listening in” approach (i.e., mining visual content posted by users) to measure how brands are portrayed on social media. Using a deep-learning framework, we develop BrandImageNet, a multi-label convolutional neural network model, to predict the presence of perceptual...

We consider how public firms influence their stock market valuations by timing the introduction of innovative new products. Our focus is on innovation ratchet strategy — firms timing the introduction of innovations in order to demonstrate an improvement in the number of introductions over...

This paper argues that time-series econometrics provides valuable tools and opens exciting research opportunities to marketing researchers. It allows marketing researchers to advance traditional modeling and estimation approaches by incorporating dynamic processes to answer new important...

This paper argues that the pharmaceutical industry represents an exciting opportunity to carry out academic research. The nature of the industry allows researchers to answer new questions, develop new methodologies for answering these questions as well as to apply existing methodology to new...