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The motivation of the paper is to find out the influence of demographic characteristic factors on employees’ career promotion in China’s state-owned enterprises and study the relationship between promotion mechanism and enterprise benefits. More than 6,500 pieces of human resource data from China’s state-owned enterprises were studied. Logistic regression is adopted to analyze the correlation between demographic characteristics and promotion. Meanwhile, different data mining methods are used to summarize the characteristics of promotion. On this basis, this study uses the principal-agent model of game theory to analyze the profits of employees and enterprises under different promotion mechanisms and demonstrates the conditions for enterprises to obtain the maximum benefit from the employees’ promotion. The results provide a theoretical reference for the assessment indicator selection of enterprise promotion and help executives better understand the impact of promotion mechanism on enterprises and employees. The application of results can reduce the information asymmetry in promotion incentive, prevent the emergence of adverse selection, and achieve a win-win situation for enterprises and employees.

Against the background of increasingly mature mobile internet eco-system, internet companies have been continuing pursuing the innovation of internet applications. The action has brought about not only more clicks from the netizens but also gave rise to mounting network burden. Telecom service providers are now faced with the dual pressure from both the soaring broadband building and maintenance costs as well as the declining traditional operating revenues. They wish to find a way to abolish the previous unified pricing model and shift it into the differential charging model by offering graded data flow services. Consequently, the controversy over “net neutrality” has been aroused in the whole society. In this article we analyze the optimum prices in different stages of the internet eco-system, and establish two-sided market model for further research.

Along with the continuous development of wireless communication technology and popularization of multi- mode terminal, the seamless fusion of various heterogeneous wireless networks has gradually become the trend of net- work development. The diversified forms of network access enable the multi-mode terminal to dynamically select the ac- cess network with the highest utility value to obtain network service according to specific standard. The study selects a typical heterogeneous network scenario, abstracts users' network selection process to be group game model, adopts the evolutionary methods, and then studies user's network selection process through replicator dynamics. On the basis of it, it puts forwards a kind of network selection algorithm in the view of replicator dynamics and verifies its algorithm perfor- mance through simulation results, and then analyzes the impact of different factors on evolutionary equilibrium in detail.

The paper designs a demand forecast system for online retailers based on big data and the theory of consumer behavior on the purpose of improving regional forecasting accuracy as well as shortening the forecasting periods. The necessity and the urgency of strengthening e-commerce enterprises' forecasting abilities are emphasized from the perspective of enterprises and consumers. Analysis and design process make use of the concepts of Engel-Kollat-Blackwell Model to put forward a framework composed of four phased prediction, which are the Initial Demand, the Possible Demand, the Core Demand and the Effective Demand. The further discussion then details how online retailers could implement this big-data-based system to cope with various shopping scenarios, such as the New Arrival periods and the November 11 Singles' Day shopping spree. By restating theoretical innovation in the field of demand forecasting research, the paper concludes with an outlook of potential improvement of the architecture and the direction of related practices.

In recent years, countries all over the world consider the future internet as the country’s strategic development directions, so projects about future internet have been launched by these countries. Load balancing algorithms and job allocations are main research problems in areas of resource management of future internet. In this paper, we introduce a load balancing model for future internet. We formulate the static load balancing problem in the model proposed above as noncooperative game among users and cooperative game among processors. Based on this model, we derive a load balancing algorithm for computing center. Finally, we execute the algorithm presented in this paper with another three algorithms for comparison purpose. The advantages of our algorithm are better scalability to the model, improving system performance, and low cost on maintaining system information.

In this paper, a kind of modified adaptive group recommender based on overlapping community detection (GROCD) is proposed. Different from existing recommenders, GROCD takes both of group members' preferences and their complex internal interactions into account. In this research, both of overlapping community integration strategy and contribution-based collaborative filtering are employed to explore group members' interests and provide the predicted group ratings on movies. The authors discuss the effectiveness of the proposed approach on Movielens dataset. The results show that the proposed recommender can achieve comparatively accurate prediction with a comparatively low computation complexity.

With the 3G explosive growth, telecom operators pay more and more attention to traffic management. Based on the key elements analysis of traffic operation, the paper proposes the ATNE model of traffic management, which content four key element "application, terminal, network, experience", and it can provide valuable reference of traffic management strategy.

The paper reviews research achievement of multi-source information service system based on cloud computing both at home and abroad, and presents a multi-source information service system four-layer architecture. This system architecture is characterized by openness and user-oriented ideas.

With the approaching of Mobile Internet period, M-Business has been developing with a brilliant future, driving the industry developing and seizing the opportunity are the common aspiration of all participants. This paper deeply analysed M-Business value chain, extracted the key nodes of this chain as Mobile Operators, Content and Service Providers, Mobile Portals and Government. Finally, this paper gave some advice about the development of M-Business.

First, on the basis of analyzing the features, current situation and development trend of mobile TV industry, the paper indicates its technology reform, channel expansion and business model innovation brought by triple play. Second, it proposes building a "Xinhua-oriented mobile TV industry chain", and explores main strategies for the development of mobile TV: to create TIME strategy together with the telecom operators; to develop broadcast services under "pareto principle" to focus on unicast business under the guidance of the "long tail" to develop multicast business, so as to achieve the integration of new media; to create innovative content and business models and make full use of mobile TV interaction; to design outstanding mobile TV components with software vendors; to launch "Xinhua Video Phone" with handset manufacturers; and to launch "Xinhua Inside" with IT vendors, etc.

The current information service platforms often consider service providers and users to be credible, causing that the service quality of platform is not high, but in the actual web, the parties involved in the service may be false and malicious. Thus low degree reputation seriously affects the quality of services and other issues of information service platform. In this paper, based on KMRW, firstly we evaluate the credibility of the information source, and then, using the double-Rating credit evaluation model, we effectively describe the service and feedback trust evolutionary relationship between information service platform and users.

Aiming at research in mobile phone software supermarket, this paper introduced the definition and industrial chain of mobile phone software supermarket, as well as the comparison between mobile phone software supermarket, physical commodity supermarket and internet supermarket. More importantly, based on the analysis of consumer market and supply market, modeling in game theory was used to demonstrate the choices of each player involved. Last but not least, suggestion on business model was given for platform provider.

With the development of network technology and the increasing popularity of the network, the Internet Word-of-Mouth is gradually replacing its traditional counterpart. People increasingly prefer to collect product information using the network exchange in order to make consumption decisions. Involvement theory plays an important role in the theory of consumer behavior; it explains why people sometimes did not follow the rational model-information collection, screening, and assessment to do purchase decision. Researching the role of involvement to IWOM is significant to the development of marketing theory and effective marketing communications. This paper regards college students as survey subjects, focuses on the impact of variables of involvement to IWOM, and conducts the demonstration to get conclusions so as to recommend appropriate management recommendations to help the corporation better carry out the publicity and marketing of product.

With its billions of dollars to search engine providers, sponsored search has been one of the hot topics of electronic commerce not only in practice but also in academy in recent years. We present some main progresses in sponsored search theory, including auction mechanism and click fraud. We also propose some suggestions to the future research.

At present, the research on the problem of social information process has transferred from the qualitative descriptions to the quantitative assessments. And evaluation theories and methods has become the integral and important part with the theory of information process. This dissertation points out a theoretical model used at the level evaluation for the social information process, through analyses of connotation of convergence of Informatization and Industrialization and the simple comparisons and analyses for the severally including main methods.

Synchronization is a crucial task and big challenge for ultra-wideband (UWB) systems, especially in the presence of inter-symbol interference(ISI) and inter-frame interference (IFI). This paper proposes a blind synchronization and demodulation algorithm that is capable of mitigating ISI and IFI for noncoherent UWB system. Employing a series of codeword matching and averaging operations, the proposal can suppress interference and noise effectively. Moreover, it can acquire synchronization rapidly and improve the bit error rate (BER) performance significantly thanks to efficiently exploiting the observed signals. Simulation results demonstrate the substantial performance improvement compared to existing methods.

Traditional collaborative filtering algorithm is a weighted average prediction algorithm based on nearest neighbors' ratings. Besides similarity between users, trust and credit are also parameters to affect recommendation. This paper proposes a computational model of credit factor and then a collaborative filtering algorithm based on it. This model is based on trust factor and takes credit model as the basic elements. This proposed algorithm further improves the validity and accuracy of the recommendation.

Radio spectrum is a valuable and scarce natural resource and the introduction of spectrum trading can optimize the use and improve the efficiency of this scarce resource. This paper gives a brief analysis of incentives to spectrum trading from both macro and micro perspectives, in which it focuses on the relationship between initial spectrum assignment processes and secondary spectrum trading. Furthermore, it is found that initial spectrum assignment approaches in combination with the frequency fee system have an influence on the potential to gain windfall profits in secondary spectrum trading market and then affect incentives to spectrum trading. Finally, on the basis of earlier research results, some recommendations about the development of China's secondary spectrum market are put forward.

RFID (Radio Frequency Identification) technology has a huge market potential in China. Spectrum management of RFID will therefore play an important role. The specificities of frequency resource decide that the government must be responsible for spectrum management and ensure a sound market order. However, excessive control of government could hinder the development of RFID industry, which needs to be promoted by all participants. This paper considers the experiences of the United States and Japan. It proposes that the practice of RFID spectrum management in China should be guided by the government, led by enterprises, planned scientifically, unified in standards, and encourage innovations. During this period of financial crisis, the government should expand domestic demand, accelerate the restructuring and upgrading of China's industry, and promote the fast development of RFID industry.

This paper investigates China's efforts to develop its indigenous standard - TD-SCDMA and mainly focuses on the subsequent competition between TD-SCDMA & WiMax. By drawing upon actor-network theory (ANT), two counter-networks are setup and the competitions on technology, IPR, industry chain are presented. Furthermore, the social and institutional elements that effected their respective commercialization in China are also considered. Finally, the possible compromises of the two and respective suggestions on Telecom policies are proposed.

The networks literature suggests a network's value increases in the number of locations it serves (the ldquonetwork effectrdquo) and the number of its users (the ldquoproduction scale effectrdquo). In this article we discuss one of the technology innovation in optical industry- photonic integrated circuit (PIC) technology. We show that, in one hand, consumers (traditional carriers) would be very careful to adopt a new technology or product in presence of network effect, which results in new technology adoption delays increasing in the size of traditional networks. In the other hand, if benefit from this new technology is not certain, dominant suppliers (equipment vendors) prefer waiting and collecting information to make further decision, so in some time network effect reduce innovation incentives.

3G has already been put into business, but the killer application of M-commerce has not been found out. The root cause is because the value transfer system of M-commerce has not been thoroughly researched or analyzed. Through a series of empirical study, this paper points out that the value loop in E-commerce is right the key problem of killer application in mobile value-added service. Accordingly we established a related model and gave the critical factors and methods for creating the M-commerce value loop; they are referable for the development of M-commerce.