Search

The telecommunications industry has been undergoing tremendous technological changes, and owning to continuous technological advancement, it has maintained sustained prosperity and development. In this paper, the interplay between technology, market and government in telecommunications is discussed briefly, and then we introduce technology and government into the traditional SCP (Structure — Conduct — Performance) paradigm to develop an industry analysis framework called TG-M(SCP) (Technology — Government — Market (Structure — Conduct — Performance)). Based on this framework, we present the spiral co-evolution model which elaborates on the interaction mechanism of technological innovation with government regulation and market dynamics from the perspective of industry evolution. Our study indicates that the development of the telecommunications industry is the result of the coevolution of technology, government regulation and market forces, and among the three actors, technology is the fundamental driving force. Relative to the "invisible hand" (market) and "visible hand" (government), we conceptualize technology as the "third hand", which fundamentally drives the development of telecommunications industry in coordination with the other two hands. We also provide several policy implications regarding these findings.

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.

We compared individual and joint risk-based decision making using the Balloon Analogue Risk Task, with a focus on participants' (160 Chinese men) emotional experience during decision making and their Big Five personality traits as measured by the NEO Five-Factor Inventory. We found that, compared with the individual decision-making process, making a joint decision led to reduced risk taking and increased earnings, and brought a greater sense of control, stronger feelings of achievement and happiness, and a reduced sense of regret for the participants. The Big Five personality traits of the participants were related to their risk-based decision making; participants tended to act differently according to their personality traits during individual and joint decision making. Our findings show that, compared with individual decision making, joint decision making has many advantages.

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.

Increasing popularity of spectrum-based services brings the striking contradictions between the limited spectrum resource and its increasing demands. This paper puts forward an approach to forecast the future spectrum demand and its economic value, so as to offer a scientific basis for spectrum regulators to resolve this contradiction effectively and make a long-term spectrum-use plan. Specifically, this paper analyzes the driving factors of spectrum demand firstly, based on which a forecasting model is constructed to predict the spectrum demand and its deficit/surplus in the next few years. Then, a forecasting model to measure the economic value of spectrum is proposed based on marginal opportunity cost theory, and the indifference curve is introduced to show the economic value generated by additional spectrum. Additionally, an empirical study is conducted to forecast the spectrum demand and its economic value for China in the next 10 years according to the proposed method. The results of this study show that spectrum deficit is a trend in future and releasing additional spectrum will bring China huge economic benefits.

This article provides insights into consumer behavior, and the results have important implications for designers, managers, marketers, and system providers of 3G value-added services to explore a conceptual model for analyzing customers’ perceptions of using 3G value-added services. An empirical investigation was carried out to test the hypotheses. The samples include 826 professional participants. Structural equation modeling (SEM) is used to test the relationships of the model. After reviewing the previous research papers, a conceptual model of customer adoption is developed and nine important factors are proposed, namely, perceived usefulness, perceived ease of use, perceived security, perceived price, use experience, perceived enjoyment, need for uniqueness, social influence, context and compatibility. Then a big sample of questionnaire investigation in Chinese 3G value-added service market is conducted. The empirical findings are as follows: (a) security and social influence are two of the most important factors in 3G market; (b) 3G value-added services must be enjoyable and useful; (c) using context should be friendly and compatible. The results not only help to develop a sophisticated understanding of 3G adoption theories for researchers but also offer useful knowledge to those involved in promoting 3G value-added services to potential purchasers.

PurposeAs the market competition becomes increasingly intensive and the profit from traditional voice services margins gradually decline, 3G telecom operators must provide various value‐added services to enhance the ARPU (average revenue per user). The purpose of this paper is to recognize the factors infecting the adoption of 3G value‐added services.Design/methodology/approachThe TAM (technology acceptance model) was used as the foundation to further understand consumer's behavioral intention to use 3G value‐added services. Structural equation modelling (SEM) was used to develop a conceptual model of customer adoption and nine important factors were proposed. The authors conducted a questionnaire investigation, using a large sample, in the Chinese 3G value‐added service market. SPSS and AMOS were applied to analyze the survey data.FindingsThe empirical findings are: security and social influence are two of the most important factors in 3G market; 3G value‐added services must be perceived as enjoyment and useful; using context should be friendly and compatible; and in a whole view, the influence from gender, ease of use and need for unique to adoption intention is not significant, but to separate as two models, the difference is huge – the female group considers more about price and usefulness, while the male group thinks about enjoyment and compatibility.Practical implicationsThe sample of this study is limited at the range of empirical data; the development of 3G technology has not yet been perfected in China and this study fails to include all of the 3G value‐added services, some of which are still in the exploratory phase of development. At the same time, the cities in this study cannot be said to represent the present stage of the whole of China.Originality/valueThe paper develops a conceptual structural equation model on the area of 3G value‐added services in China. The findings in the paper would help 3G providers to improve their services.

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.

Time series is a very popular type of data which exists in many domains. Clustering time series data has a wide range of applications and has attracted researchers from a wide range of discipline. In this paper a novel algorithm for shape based time series clustering is proposed. It can reduce the size of data, improve the efficiency and not reduce the effects by using the principle of complex network. Firstly, one-nearest neighbor network is built based on the similarity of time series objects. In this step, triangle distance is used to measure the similarity. Of the neighbor network each node represents one time series object and each link denotes neighbor relationship between nodes. Secondly, the nodes with high degrees are chosen and used to cluster. In clustering process, dynamic time warping distance function and hierarchical clustering algorithm are applied. Thirdly, some experiments are executed on synthetic and real data. The results show that the proposed algorithm has good performance on efficiency and effectiveness.

Multivariate time series classification is of significance in machine learning area. In this paper, we present a novel time series classification algorithm, which adopts triangle distance function as similarity measure, extracts some meaningful patterns from original data and uses traditional machine learning algorithm to create classifier based on the extracted patterns. During the stage of pattern extraction, Gini function is used to determine the starting position in the original data and the length of each pattern. In order to improve computing efficiency, we also apply sampling method to reduce the searching space of patterns. The common datasets are used to check our algorithm and compare with the naive algorithms. Experimental results are shown to reveal that much improvement can be gained in terms of interpretability, simplicity and accuracy.

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.

In SNS, users with different privacy concern levels exhibit different private information posting behavior. To investigate and contrast the effects of personal and interpersonal influence on private information diffusion for different levels of privacy concern of users, we establish a survival analysis model and examine influence factors, including micro-blog features, user features, and social network features. The findings indicate that these three types of factors are very important and have a significant impact on the diffusion time of private information, especially the social network features. The influence factors differ for users with different levels of privacy concern. The results aid in our understanding and prediction of users' performance in SNS, with implications for social marketing and so on.

Mobile internet is being used by countless people. But how to design the applications after all can make customers accept it more easily? In various mobile internet applications, mobile advertisement is facing rapid development trends and various inevitable problems, and becomes a typical mobile internet application. So it is necessary to carry out a deep research into its user acceptance willingness. Based on the discussion of definition, characteristics, types and business model of mobile advertisements, this paper establishes a consumer acceptance model with UTAUT as the base model, and an empirical study is given as well.

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.

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.

The rapid development of Cloud Computing enables more personalized and more complex information service. Therefore, the demand for higher quality and larger amounts of information becomes inevitable. This paper focuses on organizational information resources sharing, discusses the incentive mechanism of organizational information resources sharing with the Fair Encouragement Combination Model. Thereby promotes organizations to contribute higher quality and larger amounts of information resources voluntarily.

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.

In this paper, firstly we establish the dynamic game model between owner and contractor in the bidding process of the construction project. Then we make analysis of the 24 situations when owner and contractor take different behaviors and demonstrate their payment function separately under different situation. Finally we make suggestions on what kind of strategy should the owner take in order to avoid the contractor submitting a low price malignantly and make sure the contractor performance better after the acceptance of the bid.

Spectrum is a valuable and scarce natural resource. Regulators assign spectrum usage rights to holders mainly by issuing licenses. With gradual introduction of spectrum trading and liberation, problems of tenure and assignment of spectrum licenses have attracted increasing attention. This paper does not only do lots of empirical research on existing license types in countries that have introduced spectrum trading, but also do in-depth study on the new license type- perpetual license that scholars have proposed. Then, it classifies spectrum licenses into unrenewable licenses, renewable licenses and perpetual licenses according to usage duration and renewal expectancy. Finally, both initial and secondary assignment processes of three kinds of spectrum licenses are put forward.

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.

With the development of Internet, the concept of Web2.0, which kernel is personalization and active participation, has popularized gradually. Common consumers can product all kinds of digital products and upload on Internet. The boundary between producers and consumers are becoming obscure. Therefore, the value chain of electronic commerce, which originally starts with producers and ends with consumers, is bending progressively to become a loop of value system. Based on the actualities of electronic commerce, this paper innovatively puts forward a value loop model of it, which is helpful to forecast and analyze the trend of Internet electronic commerce.