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The purpose of this paper is to explore the relationship between social networking sites (SNSs) users’ switching intentions and switching behavior. With regard to the former, the authors focus on three factors (perceived value, trust, and perceived risk), and investigate whether and to what extent habit moderates the relationship between SNS-switching intention and actual switching behavior.

Data collection for this study was carried out using an anonymous survey. The questionnaire was devised based on the literature review. It consisted of a total of 34 items, all of which used the seven-point Likert scale, and was divided into nine sections. Data collection lasted for approximately three months from March to May 2015. Data analysis used SPSS and SmartPLS statistical software packages. First, the descriptive statistics were computed. Next, reliability as a measure of internal consistency was calculated. Then, the relations between all factors were explored.

Before they switch, users usually evaluate the perceived values and risks of the SNSs they might join, as well as establish the degrees of trust with respect to those networks. Hence, this study is potentially useful to SNS providers planning their business strategies, and/or seeking to optimize their services based on a detailed understanding of the concerns of users and potential users.

This study is of considerable importance to the future development of research on switching intention behavior theory and practice, adding to the body of work on specific frameworks that explain the SNS-switching intention and behavior. The main theoretical implication is that the epistemic value component of the perceived value may not significantly affect switching intentions, at least in the SNS context. In addition, the results regarding the moderating effects of habits are a useful confirmation, in the SNS context, of the findings of a small but important body of prior studies.

The purpose of this study is to reveal the lead–lag structure between international crude oil price and stock markets.

The methods used for this study are as follows: empirical mode decomposition; shift-window-based Pearson coefficient and thermal causal path method.

The fluctuation characteristic of Chinese stock market before 2010 is very similar to international crude oil prices. After 2010, their fluctuation patterns are significantly different from each other. The two stock markets significantly led international crude oil prices, revealing varying lead–lag orders among stock markets. During 2000 and 2004, the stock markets significantly led international crude oil prices but they are less distinct from the lead–lag orders. After 2004, the effects changed so that the leading effect of Shanghai composite index remains no longer significant, and after 2012, S&P index just significantly lagged behind the international crude oil prices.

China and the US stock markets develop different pattens to handle the crude oil prices fluctuation after finance crisis in 1998.

This paper aims to capture tail dependence between sentiment index and Shanghai composite index (SCI) by proposing a sentiment index based on text mining.

Online text mining and the Copula model were used in this study.

First, the paper finds herding effect in the expression of investors’ sentiment from online text data, and the usage occurrence frequency of most vocabulary is less correlative with SCI. Second, given these two features, the paper uses weighted divide-and-conquer algorithm to construct a sentiment index. Finally, because of multivariate non-Gaussian joint distribution between them, the paper uses the Copula model to detect their tail dependences, and finds that both upper and lower tail dependences could have a significant influence between positive sentiment and SCI, with a higher probability on the upper one. Additionally, only the upper tail dependence exhibits the significant influence between negative sentiment and SCI.

This paper proposes a framework of constructing investment sentiment index with the weighted conquer-and-divide algorithm, and characterizes tail dependence between sentiment index and SCI. The implication can measure the environment of investment market of China and provide an empirical ground for bandwagon effect and bargain shopper effect.

How to make accurate action decisions based on visual information is one of the important research directions of industrial robots. The purpose of this paper is to design a highly optimized hand-eye coordination model of the robot to improve the robots’ on-site decision-making ability.

The combination of inverse reinforcement learning (IRL) algorithm and generative adversarial network can effectively reduce the dependence on expert samples and robots can obtain the decision-making performance that the degree of optimization is not lower than or even higher than that of expert samples.

The performance of the proposed model is verified in the simulation environment and real scene. By monitoring the reward distribution of the reward function and the trajectory of the robot, the proposed model is compared with other existing methods. The experimental results show that the proposed model has better decision-making performance in the case of less expert data.

A robot hand-eye cooperation model based on improved IRL is proposed and verified. Empirical investigations on real experiments reveal that overall, the proposed approach tends to improve the real efficiency by more than 10% when compared to alternative hand-eye cooperation methods.

The development of China's foreign exchange market and the reform of Chinese yuan (hereinafter “CNY”) exchange rate are closely linked with each other. Their respective journey through the past 70 years can both be divided into three historical periods; as follows: China's foreign exchange market underwent a difficult exploration period, a formation and development period and an innovative development period; in the meanwhile, the formation mechanism of CNY exchange rate also witnessed three periods marked successively by a single exchange rate system with administrative pricing, an explorative formation mechanism of CNY exchange rate and a reformed, marketized CNY exchange rate mechanism.

In the present world, the development of almost every country is closely linked to the international community, which is the result of the heterogeneity in system, market, humanity and history, in addition to the differences in natural resource endowments and the diversity in technology, administration, information, experience and diplomacy. International economic exchanges require foreign exchange, which gives rise to the existence and development of the foreign exchange market.

The 70-year history of China's foreign exchange market has proven the need to continue safeguarding national sovereignty and interests of the people, stick to the general direction of serving economic development, adhere to the strategy of steadily and orderly promoting the construction of the foreign exchange market, keep on making innovation in monetary policy operation and unbendingly stay away from any systemic financial risks.

During the 70-year history of the new China, as an indispensable economic resource in China's economic development, the foreign exchange mechanism bolstered each stage of economic development and was always an important manifestation of China's economic sovereignty. It is argued that during the 30-year planned economy that preceded reform and opening-up, China pursued a closed-door policy with few international economic exchanges. The subtext of such argument is that China did not have (or hardly had much of) a foreign exchange mechanism during this period, which is clearly in conflict with historical evidence. In fact, although China did not have an open foreign exchange market before the reform and opening-up, it had a clear foreign exchange management system and exchange rate system.

The purpose of this study is to explore some quantitative indicators from the social network analysis, observe the variations of these indicators over time and determine whether these indicators fit into the traditional team development stages model or theory. The primary focus is on the perspective of social interaction rather than the suitability of the indicator, i.e. the authors will not determine the optimal indicators nor compare the performance of different indicators. This study aims to propose a quantitative method to identify the development stages of virtual teams.

Two phases were designed in this study. The first phase was a simple study to prove the preliminary ideas and explore which quantitative indicators would be suitable for analysis. In total, 16 undergraduates were randomly assigned to two virtual teams. They were required to complete an information system (IS) project through virtual teamwork and use information and communications technologies (ICTs) to communicate with each other. After proving the preliminary ideas, the authors collected communication data of the 30 virtual teams working on IS projects in the second phase. The total duration of this process was two months.

The findings practically identified three stages, which were found to be consistent with that of the previous qualitative studies. In the initial (inclusion) stage, intensity had an upward trend. In the second (control) stage, centralization had an upward trend. In the final (affection) stage, intensity and density had upward trends and centralization had a downward trend. Both density and centralization also became smooth in this final stage. The conclusion can serve as a basis for further studies in virtual team development.

A successful virtual team will help industries to reduce their costs and increase performance and benefits. The findings will help industries quickly and objectively identify which stage they are at. This quantified approach will provide managers and leaders with a simple, useful way to highlight the needs for managing different aspects of team behavior at each stage of development. After establishing this approach, managers and leaders will be able to make plans to improve existing processes, set priorities, provide suitable principles and guidelines, etc., and eventually improve virtual team performance.

Discusses the unequal allocation of social capital in society and makes the point that network membership is not at once available to all. Sees social capital as springing from small groups that work together, perhaps competing with others, to achieve common rewards, thereby pursuing locally shared benefits. Concludes that specific definitions of social capital are superior to others especially in examining the full array of social ties which migrants use in creating ethnic economies and communities.

Social capital, understood as intangible community values available through a network of connections, is a factor in the development of societies and improving quality of life. It helps to remove economic inequalities and prevent poverty and social exclusion, stimulate social and regional development, civic attitudes and social engagement and build a civic society as well as local and regional identity. Many of these tasks may be implemented by libraries, which, apart from providing access to information, may also offer a number of services associated with social needs. The purpose of this paper is to present the roles and functions that libraries may serve in local communities in terms of assistance, integration and development based on classical social capital theories.

The paper reviews the classical concepts of social capital in the context of libraries. It analyses the findings of Pierre-Félix Bourdieu, James Coleman, Francis Fukuyama, Robert Putnam, Nan Lin, Ronald Stuart Burt, Wayne Baker and Alejandro Portes. Based on their respective concepts, the paper analyses the role of the contemporary library in the social life of local communities. In particular, it focuses on the possible new functions that public libraries may serve.

A critical review of the concept of social capital revealed certain dependencies between libraries and their neighbourhoods. With new services that respond to the actual social needs, libraries may serve as a keystone, namely they may integrate, animate and engage local communities. This, however, requires a certain approach to be adopted by the personnel and governing authorities as well as infrastructure and tangible resources.

The social engagement of libraries is usually described from the practical perspective (reports on the services provided) or in the context of research on the impact of respective projects on specific groups of users (research reports). A broader approach, based on original social theories, is rarely encountered. The paper draws on classical concepts of social capital and is a contribution to the discussion on possible uses of those concepts based on an analysis of the role of libraries in social life and in strengthening the social capital of local communities.

Outlines the theory of public choice (i.e. the equilibrium of a formal political model based on functions: not politicians) and identifies some reasons why US politicians may actually vote for rent seeking (“pork barrel”) projects. Suggests that they include the need for election, campaign contributions and financial or non‐financial (ideological) personal gain; and considers the implications for political reforms such as term limits, rules on campaign finance etc. Discusses how the motives of individual politicians can be discovered and some additional applications of this idea.

This article describes several lessons learned during my career. Some describe ways of approaching intellectual issues and others express values and attitudes underlying these approaches. Although the lessons have evolved in a largely academic context, they seem equally appropriate in the world of practice. The personal rules of thumb and ideas inherent in these lessons are typically developed and practiced implicitly. However, readers should find these explicit statements relevant in different ways. Some lessons might be candidates for adoption outright. Others might be constructive points of departure for evolving a related lesson better suited to one's own working style. All lessons, whether or not they are agreeable or appropriate, can serve as thought starters by challenging readers to surface their own implicit career lessons for comparison.