We develop and describe a framework for research in digital marketing that highlights the touchpoints in the marketing process as well as in the marketing strategy process where digital technologies are having and will have a significant impact. Using the framework we organize the developments...

In designing consumer durables such as appliances and power tools, it is important to account for variations in product performance across different usage situations and conditions. Since the specific usage of the product and the usage conditions can vary, the resultant variations in product...

In channel structures characterized by a powerful retailer (e.g., Wal-Mart, Home Depot), the dominant retailer's acceptance of a manufacturer's new product often determines the success of the new offering. Focusing on a manufacturer in such a market, we develop an approach to positioning and...

We examine the relationship between investment behavior of individual investors on crowdfunding platforms and the fundraising outcomes in crowdfunded ventures. Extant research has identified two main drivers for crowdfunding investments: irrational herding behavior of investors driven simply by...

Purpose – With the rapid proliferation of digital technology for creating and disseminating content in different forms – textual, music, video – both firms and consumers have a number of alternative technology and formats available for creating and consuming content. While this has led to...

This paper presents a novel intelligent bidding system, called SOABER (Simultaneous Online Auction Bidder), which monitors simultaneous online auctions of high-value fine art items. It supports decision making by maximizing bidders’ surplus and their chances of winning an auction. One key...

The Expectation-Maximization (EM) algorithm is a very popular optimization tool for mixture problems and in particular for model-based clustering problems. However, while the algorithm is convenient to implement and numerically very stable, it only produces local solutions. Thus, it may not...

Creating a loyal customer base is one of the most important, and at the same time, most difficult tasks a company faces. Creating loyalty online (e-loyalty) is especially difficult since customers can "switch" to a competitor with the click of a mouse. In this paper we investigate e-loyalty in...

Pre-release demand forecasting is crucial for allocating limited marketing resources and is one of the most challenging tasks facing decision makers. In this study, we present a powerful pre-release forecasting method via functional shape analysis (FSA) of the trading price histories of an...