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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.

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.

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.

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.

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.

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.