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The effects of customers' social ties on switching costs have recently attracted researchers' attention. This study formally included customers' social ties as a new antecedent to supplement those elucidated by Burnham in 2003. Through empirical research, this study successfully verified the reliability and validity of items created to measure social ties, and it demonstrated the facilitating effects of social ties as an antecedent on customers' procedural and relational switching costs. Finally, the study lists managerial implications aimed at retaining customers through knowledge of this added antecedent.

In the framework of heterogeneous wireless networks, it is diffcult for every user to obtain QoS-based services anywhere at any time. Due to heterogeneous networks, the dynamic network selection scheme needs to achieve seamless mobility, and also supports the optimization of service quality and load balancing. According to different business characteristics, this paper describes different real-time businesses in utility functions, and solves network selection problems for real-time businesses. Based on auction mechanism, it introduces the upset price in order to maximize online profts. Meanwhile, the network selection scheme is also helpful to control network congestion. The study of real-time business network selection based on auction mechanism can not only meet the demands of service quality of multiple realtime applications, but also achieves load balancing between different networks.

In this paper, we propose a systemic architecture of network selection based on context-awareness services, which gathers contextual information that includes such network information, user information and local information. This network selection strategy considers the Quality of Service (QoS) and user preferences. Also, it perceives contexts such as speed, coverage percentage and location, etc., and it eventually performs network selection decision making and network execution based on multiple factors. From the perspective of network decision, it presents two network selection algorithms, namely the fuzzy mathematics evaluation method and multiple attribute decision making using the TOPSIS evaluation method. System simulations suggest that network selection based on the mathematics evaluation method is much faster than the TOPSIS evaluation method. However, the TOPSIS evaluation method is practically more efficient. The network selection method based on context-awareness provides an effective and flexible network vertical handover strategy, and ensures a good accuracy and efficiency.

Nowadays, mobile operators in China mainland are facing fierce competition from one to another, and their focus of customer competition has, in general, shifted from public to corporate customers. One big challenge in corporate customer management is how to identify fake corporate members and potential corporate members from corporate customers. In this study, we have proposed an identification method that combines the rule-based and probabilistic methods. Through this method, fake corporate members can be eliminated and external potential members can be mined. The experimental results based on the data obtained from a local mobile operator revealed that the proposed method can effectively and efficiently identify fake and potential corporate members. The proposed method can be used to improve the management of corporate customers.

With the development of communication and ubiquitous computing technologies, context-aware services, which acquire contextual information of users and environment, have become critical applications providing customization in mobile commerce. Meanwhile, tourism has attracted increasing attention as a high value-added service and a hot academic topic. However, the research on how to provide tour services based on context-aware services is in fact still at an early stage, limited to concept elaboration, service framework discussion, prototype system development etc. In this paper, we summarized the previous researches on context-aware services to establish the research foundation, put forward a way of analyzing a tour planning problem with a modified model of Traveling Salesman Problem (TSP) and Vehicle Routing Problem (VRP), and we applied an innovated Resource Constrain Project Scheduling Problem (RCPSP) mathematical model to solve the tour planning problem based on context information. The simulation under branch and bound algorithm evaluated the validity of our solution.