Research Question As a clothing and accessories retailer, Zara launches 11,000 designs on store shelves every year. There are over 200 distinct items in a given Zara store with a one-week inventory turnover. A retailing chain like Zara usually maintains a wide variety of products at its warehouse, but only displays a much smaller set of products at a given store due to space constraints. Even s...

political marketing shares many characteristics in common with marketing in the business world. in business marketing , sellers dispatch goods, services, and communications[e.g.advertising] to the market and in return, money [consumer purchases], information [consumer research], and customer loyalty are received. in political campaigns, candidates dispatch promises , favors , policy preferences...

Ever since the 1990s, the role of call centers has been transformed from a cost to be minimized to a crucial element that performs integrated marketing functions. Call centers have become among the most crucial corporate assets to grow customer relationships and firm profits. In this paper, we formulate the traditional operation management decision of call allocations as a customer relationship...

Nowadays most commercial e-shops do not offer any shop assistance or just in a very poor manner. But an e-customer expects guidance and advertising as he or she is used from traditional shops. In this paper we present an approach how personal shopping feeling and individual advertising can be integrated into a shop of the new economy. We show how customer behavior can be described in the prefer...

With the increasing importance of the Internet as a channel for conducting business, protecting consumer privacy has become a critical challenge. Privacy protection deals with methods giving the data owner control of his data so that he can decide when and to what extend he wants to disclose his information, and then enforcing the user’s privacy preferences, either through technology, business ...

Long-term prediction of customer preferences is becoming essential for effective product portfolio design in broad industrial sectors such as automotive, aerospace, consumer electronics, where typical concept-to-release times are long (24-60 months). However, nonlinear and nonstationary evolutions of customer preferences hinder accurate prediction of the futures of customer preferences. This pa...

Customer preference learning and recommendation for (e-)commerce is a widely researched problem where a number of different solutions have been proposed. In this study we propose and implement a novel approach to the problem of extracting and modelling user preferences in commerce using latent topic models. We explore the use of probabilistic topic models on transaction itemsets considering bot...

Online content providers who use the Internet to distribute content experience an extremely competitive business environment. To survive in this environment, they have started charging a fee for the content that they provide. However, there have been very few success stories in commercializing online content. Although one of few success stories is the online game, it still has customers’ psycho...