In these days, EC companies are eager to learn about their customers using data mining technologies. But the diverse situations of such companies make it difficult to know which is the most effective algorithm for the given problems. Recently, a movement towards combining multiple classifiers has emerged to improve classification results. In this paper, we propose a method for the prediction of...

Group buying websites are getting increasingly popular in the recent years. These websites typically work with merchants to offer group deals at attractive prices. They need a pre-determined minimum number of buyers for a deal before that deal is on. It is therefore important for marketers to understand how they can encourage consumers to buy these online group deals early. Using the right pers...

Many people post about their daily life on social media. These posts may include information about the purchase activity of people, and insights useful to companies can be derived from them: e.g. profile information of a user who mentioned something about their product. As a further advanced analysis, we consider extracting users who are likely to buy a product from the set of users who mention...

The household setting may be the most important level at which to understand the food choices of individuals and how healthful food choices can be promoted. However, there are few available measures of the food purchase behaviors of households and little consensus on the best way to measure it. This review explores the currently available measures of household food purchasing behavior. Three ma...

Stock market investment decisions of individual investors are positively correlated with stock market investment decisions of their co-workers. This holds even after accounting for plant, zip code, and stock fixed effects. Sorting of unobservably similar individuals to the same workplaces is unlikely to explain our results, as evidenced by the investment behavior of individuals that move betwee...

Despite the increasing popularity of viral advertising, its effectiveness for high involvement products is under question. Moreover, its effect on brand recall and recognition has not been evaluated yet. To fill the gap, a 2 advertising type (viral vs normal) by 2 product category (high involvement vs low involvement) factorial design was conducted. Results indicate that viral ads significantly...

The advent of sponsored search advertising raises many interesting questions regarding consumer's behavior, seller's advertising strategy, and the ensuing market dynamics. Online markets are characterized by significant information asymmetries and consumers rely on a number of informational cues or signals to infer the seller's quality. Of the various quality signals, advertising and price have...

Benefiting from access to detailed data on the federally run National Flood Insurance Program for the entire state of Georgia, USA, we analyze residential flood insurance purchasing behavior in that state over more than three decades (1978–2010). The demand for flood insurance on an extensive margin, based on take-up rates, is found to be relatively price inelastic. Aligned with the behavioral ...

With the rising concern for environmental issues, there is an ever-increasing demand sustainable actions to minimize damage ecosystems. Seeking meet such a demand, energy companies worldwide embrace green marketing solutions. This article aims provide comprehensive and systematic overview of its impact on customers’ purchasing behavior develop research agenda that helps identify promising areas...

Understanding users’ behavior and predicting their future purchase are critical for e-commerce companies to boost their revenue.While explicit user feedback such as ratings plays the most significant role in eliciting users’ preferences, such feedback is scarce, which prompts the need for leveraging more abundant implicit user feedback such as purchase record. Consequently, recent studies focus...