Two studies investigate visual complexity in banner ads and support predictions based on the resource-matching perspective, which suggests that processing is optimized when the resources required to process a stimulus match the resources available. A content analysis of actual banner ads...

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...

The presented research aimed to perform geophysical modelling (gravity and geoid) and to evaluate the spatio-temporal variation of the marine geological data (distribution and depth of earthquakes) using combination of the Generic Mapping Tools (GMT) and available sources from the International...

Cultural codes, ideological discourse, and rhetorical processes have been acknowledged as influences on consumer's relationships with advertising, brands and mass media. If brands exist as cultural, ideological, and rhetorical objects, then researchers require tools developed to understand...

The study details geological analysis of the South China Sea region. South China Sea is a marginal sea located in unique geographical region of west Pacific Ocean. It has a complex tectonics history being developed at subduction zone of three tectonic plates: Eurasian, Pacific and Indian....

Data visualization is a graphic representation of data with the intention of easing ease access to information, enhancing data readability, and strengthening information literacy. Over the past decade, data-informed decision-making has become a crucial part of institutional planning in public...

Big Data analytics tries to explore hidden information from huge amount of data in order to make informed decisions. Trying to decipher the true meaning from the streams of data generated is a cumbersome task. Visualization techniques help in gaining a complete view of the trends and patterns of...

We propose the visual attention hypothesis, that visuals in firm earnings announcements increase attention to the earnings news. We find that visuals in firm Twitter earnings announcements are associated with more retweets, consistent with greater follower engagement with announcements with...

Data envelopment analysis (DEA) has proven to be a useful tool for assessing efficiency or productivity of organizations, which is of vital practical importance in managerial decision making. DEA provides a significant amount of information from which analysts and managers derive insights and...