severity of rivalry in markets and importance of customer’s maintenance for organization enforced them to gain toward creation, keeping and promotion the relationship with customers and according to scholars’ findings; relationship marketing is one of the best ways. the conceptual model which is used in this paper, aims to investigate the effects of relationship marketing value dimensions such ...

The symbolic management literature explores loose coupling between substantive and symbolic aspects of organizational activities. The prior literature, however, focuses on the benefits of symbolic management and tends to treat it as costless. If symbolic management is costless, presumably all firms should pursue it, yet in practice they do not. In this paper, we extend the theory of symbolic ma...

The competition among shopping malls is getting increasingly more intense.In order to enhance corporate competitiveness and profitability, how toretain key loyal customers has become an important issue for the managers ofshopping malls. Customer loyalty programs are a universal practice. Thisstudy proposes an analytical model for developing the strategic management...

Classification algorithms for large databases have many practical applications in data mining. Whenever a dataset is too large for a particular learning algorithm to be applied, sampling can be used to scale up classifiers to massive datasets. One general approach associated with sampling is the construction of ensembles. Although benefits in accuracy can be obtained from the use of ensembles, ...

In the field of security protocol analysis, a class of automated methods relies upon the use of symbolic techniques. We illustrate this approach by focusing on one such method. We outline the underlying protocol model, the concept of symbolic execution and the resulting verification method. We then discuss the benefits of the symbolic approach when contrasted with traditional methods baded on f...

We present an approach for combining symbolic interpretation and statistical classification in the natural language processing (NLP) component of a tutorial dialogue system. Symbolic NLP approaches support dynamic generation of context-adaptive natural language feedback, but lack robustness. In contrast, statistical classification approaches are robust to ill-formed input but provide less detai...

In this paper, the symbolic simulation of hybrid dynamical systems is studied and an algorithm to compute symbolic solutions for such systems is presented. The tasks to perform such simulations are introduced and an algorithm to symbolically calculate a solution to a hybrid system is presented. The symbolic representation allows the proposed simulator to calculate the actual solution to the sys...