Transactions Behavior Analysis for Internet Auction Fraud

People often enmesh the Internet auction frauds which damage the benefits of Internet market and threaten transactions security. This research applies social network analysis and data mining to extract characteristic features from two random collected transaction datasets of Yahoo auction site. One dataset is used to construct prediction model and another is treated as validation. The average accuracy ratio of proposed model is at least 90%. The findings are: (1) the abnormal accounts involve circular transaction; (2) fraud accounts can accumulate higher positive reputations in very short time from its circular transaction and rarely play key nodes in transaction network

Linking Customer Retention to Intelligent Technology: An Optimization Approach

Marketing managers in the telecommunication sectors are confronted with considerable complexity. They have to make decisions about the optimum combination of products or offerings, customer groups and the means of interacting with potential customers. Further, in saturated markets such as mobile telephony, it is increasingly important to retain customers potentially to churn. On the optimal campaign planning, this research describes how the customer survey was conducted for those potentially churning customers based on which an optimal campaign planning was followed. This research engages with the subjects of customer retention from the perspective of a major mobile operator in Taiwan. Customers’ preferences with C&C (campaign offer and communication channel) were predicted and input for further analysis for target selection optimization. These models was proved novel in an organizational prototype project suggesting that the use of the hybrid of data mining and optimization approaches can be effective for target selection

The System Simulation with Optimization Mechanism for Option Pricing

The Monte Carlo approach is a valuable and flexible computational tool in modern finance, and is one of numerical procedures used for solving option valuation problems. In recent years the complexity of numerical computation in financial theory and practice has increased and require more computational power and efficiency. Monte Carlo simulation is one of the numerical computation methods used for financial engineering problems. The drawback of Monte Carlo simulation is computationally intensive and time-consuming. In attempt to tackle such an issue, many recent applications of the Monte Carlo approach to security pricing problems have been discussed with emphasis on improvements in efficiency. This paper presents a novel approach combining system simulation with GA-based optimization to pricing options. This paper shows how the proposed approach can significantly resolve the option pricing problem

A Study of Online Customer Loyalty Based on the Theory of Planned Behavior

The Internet has introduced major changes in the way companies conduct business. Practically, rising numbers of customers are using the Internet for Electronic Commerce (EC). In the respect of customer relationship, Business-to-Consumer (B2C) EC provides ongoing information, service, and support that have changed the approaches of communication and interaction with customers. The nature of online customer behavior in the EC transaction is therefore different from the one in a traditional retailing channel. This research focuses on the online customer behavior through examining the relationship between the behavior intention and the online behavior itself. Based on the Theory of Planned Behavior (TPB), a base model of Online Customer Loyalty is developed. The research also proposes an alternative model in which Satisfaction is adopted as a mediated variable. Four hundred and twenty-three questionnaires are collected for the empirical experiment. The method of Structural Equation Modeling (SEM) is used to evaluate the measurement and structural models. The result indicates that TPB can be used to explain the behavior of Online Customer Loyalty. The structure relationship between Behavior Intention and Online Customer Loyalty is significant. The three constructs influencing Behavior Intention including Attitude toward Behavior, Subjective Norm and Perceived Behavioral Control also have indirectly positive effects on the behavior of Online Customer Loyalty. The two competing models are compared. Both models are acceptable when judged by the criteria of goodness-of-fit measures. However, the alternative model has a higher explained proportion of variance in Online Customer Loyalty

The Optimization of Information Systems Outsourcing Strategies: A Constraint-Based Evolutionary Approach

Information systems (IS) outsourcing is an important issue of IS practices in organizations. To achieve better IS outsourcing performance, it is critical for organizations to develop appropriate outsourcing strategies. A prediction model is useful to forecast the possibility of a failure or to point out unforeseen problems. Based on a prediction model of IS outsourcing success, this study applied an constraint-based evolutionary approach for backward tracking the optimal values of organizational IS attributes that best approximate the target success level of IS outsourcing. One hundred forty-six real IS outsourcing cases, each with 22 features and 8 outcome features, are collected. The proposed system demonstrated that valuable suggestions can be made regarding the increase or decrease levels of adjustable IS attributes for organizations outsourcing their IS functions