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As more and more people are beginning to take virtual communities (VC) as effective communication channels and the main places to get information and knowledge, understanding the factors that can support or hinder one’s knowledge sharing seems important for the management of VCs. The purpose of this paper is to explore the antecedents that influence people’s knowledge sharing in VCs, and to explore influence mechanism and the boundary condition of how the antecedent affect people’s knowledge sharing in VCs.

The authors conducted empirical research to test our hypotheses. The authors designed a questionnaire based on previous research and collected the questionnaires from seven VCs in China, including two specific topic-based forums in Baidu Tieba which is the largest Chinese online communication platform, three in traditional university bulletin board system (BBS) forums and another two based on instant messaging service. The final sample the authors got included 96 individuals. Then the authors used the hierarchical linear modeling (HLM) technique to analysis the data.

The results suggest that community member’s attachment can be a strong indicator of his/her knowledge-sharing intention which will possibly lead to knowledge-sharing behavior. However, this effect can be contingent on individual centrality and community member fluctuations. In a stable community, those who are in the peripheral position are more likely to transfer their attachment into knowledge sharing because they have the intention to move into central positions and knowledge sharing can help them gain status. While in an unstable environment, it does not make any difference between people in different position in the social network.

First, this paper reveals member’s attachment as the antecedent of people’s knowledge sharing in VCs. Second, this paper adopts a network perspective to construct the research model. And the basic point made is that knowledge sharing can be seen as a channel to attain status and centrality in a community. Thus, people who are in periphery positions are more likely to transfer their community attachment into knowledge-sharing intention. Third, this paper emphasizes the dynamic characteristic of members in VCs and proves the moderation effect of community member fluctuations.

Exploring the antecedents of members community participation is extremely important for virtual communities (VCs) research and practice. As an important social characteristic of individuals, social embeddedness has been proved as an important antecedent of many individual behaviors; however, few research has investigated the influence of virtual community members social embeddedness on virtual community members’ participation. To fill this gap, the purpose of this paper is to explore the relationship between social embeddedness and community participation in VCs.

This paper conducted empirical study to test the hypotheses. Based on existing scales, this research designed the questionnaire and used a web-based survey to collect the data from VCs in China. To avoid the common method bias, this study collected data at two different times. The final sample included 96 virtual community members from seven communities (community size ranging from 10 to 25) of Baidu Tieba, which is the largest Chinese online communication platform. And this paper used regression models to analysis the data.

Based on social network theory, this paper found that virtual community members’ social embeddedness in their virtual community has a curvilinear (i.e. inverted U-shaped) effect on their community participation behaviors. And members’ perceived autonomy mediates the curvilinear (i.e. reversed U-shaped) relationship between social network embeddedness and community participation. Furthermore, member instability moderates the curvilinear (i.e. inverted U-shaped) main effect, such that the curvilinear relationship is weakened when member instability is high.

Departing from previous virtual community studies that examine antecedences of participation in linear logic, this study applied social network theory to create a complex, curvilinear, moderated mediation model. The result reveals a curvilinear (i.e. inverted U-shaped) relationship between virtual community members’ social embeddedness in the virtual community and their community participation. And this study also introduce autonomy as mediator and member instability as moderator. By testing the whole model between community members’ social embeddedness and community participation, this study contributes to deepen the understanding of social embeddedness and virtual community participation.

Luck remains an elusive theoretical concept in the business literature yet a fascinating practical phenomenon in business reality. In addition to effective strategic maneuvering and well‐run internal management, luck often plays a non‐trivial role as a determinant of competitive advantage and firm performance. Understanding the various types of luck and the contextual conditions under which luck strikes is therefore expected to help a firm gain competitive advantage. This paper advances a typology of different scenarios of luck – pure luck, prepared luck, useful weeds, and skunk work – and expounds the strategic implications of these scenarios for the firm’s search for competitive advantage. Taking a proactive approach, it untangles the typical environmental sources of luck as well as the intra‐firm mechanisms and processes through which a firm could better induce, recognize, and exploit lucky incidents of innovations from useful weeds or skunk works.

Analyses China’s experience in import substituting industrialization (ISI), the trend towards export‐oriented industrialization (EOI) through expounding its economic performance and its policies from 1949 to 1995. Focuses on analysing the nature of two different development models: Mao’s closed economy and Deng Xiao Ping’s open‐door economy during this period. Discusses whether it is ISI or EOI that leads to development and economic growth in China.

In today’s digital era, data pertaining to scientific research have attracted considerable attention of researchers. Data of scientific publications can be modeled in the form of networks such as citation networks, co-citation networks, collaboration networks, and others. Identification and ranking of important nodes in such networks is useful in many applications, such as finding most influential papers, most productive researchers, pattern of citation, and many more. The paper aims to discuss this issue.

A number of methods are available in literature for node ranking, and K-shell decomposition is one such method. This method categorizes nodes in different groups based on their topological position. The shell number of a node provides useful insights about the node’s importance in the network. It has been found that shells produced by the K-shell method need to be further refined to quantify the influence of the nodes aptly. In this work, a method has been developed, which ranks nodes by taking the core(s) as the origin and second-order neighborhood of a node as its immediate sphere of influence.

It is found that the performance of the proposed technique is either comparable or better than other methods in terms of correctness and accuracy. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods. The proposed method can be used to rank authors, research articles, and fields of research.

The proposed method ranks nodes by their global position in a network as well as their local sphere of information. It leads to better quantification of a node’s impact. This method is found to be better in terms of accuracy and correctness. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods.

In structural health monitoring, localization of multiple slight damage without baseline data is significant and difficult. The purpose of this paper is to discuss these issues.

Damage in the structure causes singularities of displacement modes, which in turn reveals damage. Methods based on the displacement modes may fail to accurately locate the slight damage because the slight damage in engineering structure results in a relatively small variation of the displacement modes. In comparison with the displacement modes, the strain modes are more sensitive to the slight damage because the strain is the derivative of the displacement. As a result, the slight variation in displacement data will be magnified by the derivative, leading to a significant variation of the strain modes. A novel method based on strain modes is proposed for the purpose of accurately locating the multiple slight damage.

In the two bay beam and steel fixed-fixed beams, the numerical simulations and the experimental cases, respectively, illustrate that the proposed method can achieve more accurate localization in comparison with the one based on the displacement modes.

The paper offers a practical approach for more accurate localization of multiple slight damage without baseline data. And the robustness to measurement noise of the proposed method is evaluated for increasing levels of artificially added white Gaussian noise until its limit is reached, defining its range of practical applicability.

The “open‐door” policy started by the late Deng Xiao Ping has not only been maintained since his death but under the new Chinese leadership it has been encouraged even further. Because of this China has seen an unprecedented number of tourist arrivals which in turn has led to an explosion in the construction of hotels. However, due to poor vocational educational facilities and staff for hospitality subjects there is a dearth of qualified hotel operatives. This work examines Chinese hotel employees’ perceptions of various elements of vocational education associated with the Chinese hotel industry. This was done by asking staff to rank their feelings on a bi‐polar scale and the results examined using Kelly’s Repertory Grid principal components analysis.

This paper explores how legacies of past logics spawn variation in the institutional landscapes of different geographic regions in China. Of particular interest is how this variation influences the ways that actors interpret and respond to broader societal and world society pressures. Employing a cross-level comparative research design, we examine the enduring legacies of previous state logics, which have given rise to distinctive material and symbolic resource environments in different regional communities across China. To the extent that institutional contexts direct the attention of actors toward particular environmental stimuli and provide the symbolic and material resources to respond, a better understanding of how contexts differ provides more accurate causal explanations of the variability of organizational behavior. We explore this phenomenon in the context of recent government-mandated corporate social responsibility (CSR) initiatives in China. Our examination of public and private CSR initiatives, along with the CSR activities of a sample of 714 listed Chinese companies, suggests that legacies from past state logics become embedded in local institutional infrastructures and shape how abstract, multifaceted CSR initiatives are interpreted and implemented.

Nowadays, proactive P2P worm (PRWORM) poses a latent threat to internet infrastructure and common users for the fatal vulnerabilities in homogeneous P2P software. It is more difficult to contain PRWORM because of its fast spread speed. Current techniques are not adequate to quarantine PRWORM, mainly because of their inaccuracy and slow response to attacks. The purpose of this paper is to propose an accurate and real‐time approach for PRWORM containment.

First, the authors present a new methodology to contain PRWORM via proper authentication of initiators of P2P communications. Second, three simple network protocols are proposed to fulfill automatic authentication.

Both simulations and strictly mathematical proof by Strand Space Model represent that the authors' work is able to accurately quarantine PRWORM in real time. Furthermore, proof shows the three network protocols are resistant to popular attacks such as man‐in‐the‐middle attack and replay attack.

First, the authors propose an authentication based method to contain proactive P2P worm and second, use strand space model to proof the effectiveness and security of the method.

This chapter focusses on the links between economic ideas, sustainability and the circular economy. Economics begins with the view that all resources are scarce and careful and informed choices must be made to ensure resources are used efficiently and not wasted. Given the fundamental importance of markets to human resource allocation decisions, unless economic concepts, especially markets and prices, are used to help transition towards the circular economy, a sustainable economic growth process is unlikely to be achieved. Economists have long grappled with the problems of resource depletion, unsustainable growth and intergenerational equity. Their ideas and views about the interconnection between markets, the environment and resource use have been in existence for several centuries. While frequently overlooked, some of these ideas have important insights for sustainable development and the implementation of a circular economy. The chapter will consider how economic concepts could be used to help society transition to a circular economy. It will also argue that difficulties with the implementation of a circular economy lie less with the application of economic instruments, and more with the political and institutional constraints that reduce our ability to think creatively and innovatively about ‘cradle-to-cradle’ processes.