Rumors are often shared in the marketplace about products, services, brands or organizations; both in the online as well as in the offline scenarios. These rumors get communicated from consumer to consumer in the form of Word of Mouth (WOM). An exhaustive review of literature identified four motivations for consumers to share rumors in the marketplace; which included anxiety management motivati...

Due to the proliferation of information systems and technology, businesses increasingly have the capability to accumulate huge amounts of customer data in large databases. However, much of the useful marketing insights into customer characteristics and their purchase patterns are largely hidden and untapped. Current emphasis on customer relationship management makes the marketing function an id...

----------------------------------------------ABSTRACT-------------------------------------------In the faceless world of the Internet, online fraud is one of the greatest reasons of loss for web merchants. Advanced solutions are needed to protect e-businesses from the constant problems of fraud. Many popular fraud detection algorithms require supervised training, which needs human intervention...

Early detection of employees’ improper access to sensitive or valuable data is critical to limiting negative financial impacts to an organization, including regulatory penalties for misuse of customer data that results from these insider attacks. Implementing a system for detecting insider attacks is a technical challenge that also involves business-process changes and decision making that prio...

In information technology era, databases are known asone of the most valuable resources for organizations, especially usedin database marketing. Customer Equity is a key concept in DatabaseMarketing which integrates customer acquisition, retention and development.From the perspective of customer equity, customers are theprimary source of both current and future cash-flows. Customer equitymodels...

Inducing association rules is one of the central tasks in data mining applications. Quantitative association rules induced from databases describe rich and hidden relationships to be found within data that can prove useful for various application purposes (e.g., market basket analysis, customer profiling, and others). Although association rules are quite widely used in practice, a thorough anal...

Databases today are ranging in size into the Tera Bytes. It is an information extraction activity whose goal is to discover hidden facts contained in databases. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis. Major Data Mining Tasks and processes include Classification, Clustering, Associations, Vi...

In forest operations, the interface between forest companies and harvesting contractors is of special importance, considering that it is the first link in the forest industry’s supply chains. Supply operations account for a significant share of the final costs of wood products (up to 50%). This study investigates the effect of customer–contractor alignment on contractors’ profit margins and on ...

We extend Schmittlein et al.’s model (1987) of customer lifetime value to include satisfaction. Customer purchases are modeled as Poisson events and their rates of occurrence depend on the satisfaction of the most recent purchase encounter. Customers purchase at a higher rate when they are satisfied than when they are dissatisfied. A closed-form formula is derived for predicting total expected ...