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In the paradox of personalized services and privacy risks, what factors influence users’ decisions is considered an interesting issue worth exploring. The current study aims to empirically explore privacy behavior of social media users by developing a theoretical model based on privacy calculus theory.

Privacy risks, conceptualized as natural risks and integrated risks, were proposed to affect the intention of privacy disclosure and protection. The model was validated through a hybrid approach of structural equation modeling (SEM)-artificial neural network (ANN) to analyze the data collected from 527 effective responses.

The results from the SEM analysis indicated that social interaction and perceived enjoyment were strong determinants of perceived benefits, which in turn played a dominant role in the intention to disclose the privacy in social media. Similarly, trust and privacy invasion experience were significantly related to perceived risks that had the most considerable effect on users’ privacy protection intention. And the following ANN models revealed consistent relationships and rankings with the SEM results.

This study broadened the application perspective of privacy calculus theory to identify both linear and non-linear effects of privacy risks and privacy benefits on users’ intention to disclose or protect their privacy by using a state-of-the-art methodological approach combining SEM and ANN.

Multi-view fuzzy clustering algorithms are not widely used in image segmentation, and many of these algorithms are lacking in robustness. The purpose of this paper is to investigate a new algorithm that can segment the image better and retain as much detailed information about the image as possible when segmenting noisy images.

The authors present a novel multi-view fuzzy c-means (FCM) clustering algorithm that includes an automatic view-weight learning mechanism. Firstly, this algorithm introduces a view-weight factor that can automatically adjust the weight of different views, thereby allowing each view to obtain the best possible weight. Secondly, the algorithm incorporates a weighted fuzzy factor, which serves to obtain local spatial information and local grayscale information to preserve image details as much as possible. Finally, in order to weaken the effects of noise and outliers in image segmentation, this algorithm employs the kernel distance measure instead of the Euclidean distance.

The authors added different kinds of noise to images and conducted a large number of experimental tests. The results show that the proposed algorithm performs better and is more accurate than previous multi-view fuzzy clustering algorithms in solving the problem of noisy image segmentation.

Most of the existing multi-view clustering algorithms are for multi-view datasets, and the multi-view fuzzy clustering algorithms are unable to eliminate noise points and outliers when dealing with noisy images. The algorithm proposed in this paper has stronger noise immunity and can better preserve the details of the original image.

The purpose of this paper is to prepare a new combined method of rapid prototyping, fused deposition modeling (FDM) and electrospinning for the fabrication of coronary artery bypass graft (CABG).

A dynamically optimum design of blood vessel graft was constructed using FDM and electrospinning. Fabrication of 3‐D CABG model was constructed using pro‐engineer based on the optimum hemodynamic analysis and was converted to an stereolithography file format which was imported to the Magic software where it was edited to a high‐resolution contour. The model was then created from acrylonitrile butadiene styrene which was used as a collector for electrospinning fabrication. For the electrospinning thermoplastic polyurethane was dissolved with hexafluoroisopropanol. The voltage applied for electrospinning was 15 kV where the solid FDM model was used to collect nanofibers at fixed distance.

The properties of the fabricated vessel agreed well with those of human artery. The proposed method can be effectively used for the fabrication of an optimized graft design. This proposed method has been proved as a promising fabrication processes in fabricating a specially designed graft with the correct physical and mechanical properties.

The proposed method is novel and combines the advantages of both FDM and electrospinning techniques.

The strength of ties between individuals influences the speed and spread of crisis information dissemination (CID). By constructing networks of strong and weak ties, this paper aims to innovatively explore the impacts of strong and weak ties on the CID at the macro level.

To better understand the rules of CID in different kinds of social networks, this paper constructs a CID model based on the strength of ties in social networks and cellular automation, using simulations of CID speed and spread in an entire network, strong tie network and weak tie network generated by MATLAB.

As the article's major theoretical contribution, the results demonstrate that CID is more efficient in a network of weak ties than in a network of strong ties, and that the spread of CID has a positive correlation with the believability of the information disseminated and the dissemination tendency coefficient. Furthermore, the difference of dissemination speeds between strong and weak tie networks varies regularly with information believability and the dissemination tendency coefficient.

This study provides more effective public mechanisms for rapidly evaluating the believability of crisis information and responding to crises in real time. The findings also have some valuable implications for government agencies to improve the efficiency and effect of CID.

This paper aims to examine recent trends and China's role in the emerging global green system of innovation (GGSI) and present the major achievement in China's R&D sectors and major challenges faced by the country. The authors use China's role in the clean development mechanism (CDM) as a case to demonstrate the country's willingness to adopt new technology and green innovation.

In order to understand China's transformation towards the GGSI, the approach used in this study is a review of innovation systems literature combined with analysis of statistical data from various sources. The authors also build an innovation model for the emerging global green system of innovation to demonstrate the building blocks which allow for transformational system failures to be avoided. The clean development mechanism (CDM) is used as a case example as to how GGSI works.

This paper puts into perspective some recent developments in innovation and argues that there is enough evidence to claim that the world is re‐orienting towards a global green system of innovation in which China is already one of the most significant players.

Through building a new innovation model, this study demonstrates the complexity and the development of innovation in the context of China's transformation towards the GGSI.

This paper takes the seven overcapacity industries such as the textile industry, electricity and heat, steel, coal, automobile manufacturing, nonferrous metals and petrochemical industry as research objects and proposes a TOPSIS grey relational projection group decision method with mixed multiattributes, which is used for the ranking of the seven industries with overcapacity and provided relevant departments with a basis for decision-making.

First, an evaluation index system from four aspects is established. Secondly, the attributes of linguistic information are converted into two-dimensional interval numbers and triangular fuzzy numbers, and an evaluation matrix is constructed and normalized. This paper uses the AHP method to determine the subjective weights and uses the coefficient of variation method to determine the objective weights. Moreover, this paper sets up the optimization model with the largest comprehensive evaluation value to determine the combined weights. Finally, the TOPSIS grey relational projection method is proposed to calculate the closeness of grey relational projections and to rank them.

This paper analyzes the problem of overcapacity in seven industries with the TOPSIS grey relational projection method. The results show that the four industries of automobile manufacturing, textile, coal and petrochemical are all in serious overcapacity levels, while the three industries of steel, nonferrous metals and electric power are relatively in weak overcapacity level in the three years of 2016–2018. TOPSIS grey relational projection method ranks the overcapacity degree of the seven major overcapacity industries, making the relative overcapacity degree of each industry more clear and providing a reference for the government to formulate targeted policies and measures for each industry.

By using TOPSIS grey relational projection method to evaluate the overcapacity of the seven major overcapacity industries, on the one hand, it makes the relative overcapacity degree of each industry more clear, on the other hand, it can provides the basis for the government and decision-making departments. This helps them promote better the healthy and orderly economic development of the seven major industries and avoid resource waste caused by overcapacity.

This article solves the single evaluation method caused by the limited indicators in the past, combines TOPSIS and the grey relational projection method and applies it to the overcapacity evaluation of the industry, not only applies it to the evaluation of overcapacity for the first time but also involves novel problems and methods, which expands the scope of application of the model.

The aim of this paper, which is based on Cheng et al.’s (2012) research, is to re-examines the relationship between a firms’ voluntary disclosure of forward-looking non-financial information (FNFI) and investment efficiency.

The authors chose firms that publicly traded in the Shenzhen and Shanghai stock markets from 2005 to 2011, a total of 926 firms and 6,482 firm-year. To control the endogeneity problem between FNFI and investment efficiency, the authors lagged the FNFI variable for one year.

The authors found that FNFI alleviates a firms’ underinvestment but leads to overinvestment. These effects become gradually weaker over time. In addition, the results indicate that corporate governance helps improve the quality of FNFI, thus boosting investors’ confidence and easing financial constraints.

The limitations of this paper are mainly focused on the measure of FNFI. The authors only considered the quantity of FNFI disclosed by firms and ignored other characteristics of FNFI.

Based on Cheng et al.’s (2012) static findings, this paper considers the dynamic role of FNFI in firms’ investment decisions.

The purpose of this paper is to comprehensively explore the dimensions of Chinese culture and further investigate the underlying mechanisms via which the Chinese culture, in various dimensions, affect the overseas performance of Chinese multinational enterprises (CMNE) expatriates. Along with the awakening of China, not only CMNEs but also the Chinese culture have infiltrated the world market. The uniqueness of Chinese culture has attracted considerable attention of a majority of practitioners, while relevant research on how it affects CMNE expatriates’ performance sounds rare. In contrast to domestic employees, the performance of CMNE expatriates is more likely to be influenced by Chinese culture because of the potential cross-border cultural conflicts between the home and host countries. Additionally, the impact of Chinese culture on CMNE expatriates’ performance may vary according to different cultural dimensions.

Comparative case study is adopted for this research. After sufficient literature review and interviews with human resource (HR) staff, this paper structured the research, and then conducted 30 in-depth interviews with Chinese expatriates from both state-owned enterprises and private-owned enterprises.

This paper identifies that the Chinese culture do affect CMNE expatriates performance; however, the degree of its effect diversifies according to different cultural dimensions, namely, individual-level culture including Reniqng, Mianzi and social-level culture including power distance, Guanxi, Yinyang, Hexie and collectivism.

A limitation of this study is that the sample is not big enough and empirical tests are needed to validate or refute the model. Nevertheless, due to the fact that it is still during the period of initial study, the conceptual development raised by this paper would help us to gain good insights from these important and unexplored areas of national culture, which is being thought to affect performance in CMNEs.

Through reviewing the relevant literature and deeply analyzing Chinese culture, this paper attempts to help young Chinese MNEs to build up and/or improve performance appraisal method and system according to the unique Chinese culture, and to supply a theoretical support for HR personnel to make related policies for the sake of improving expatriate performance overseas.

This paper is the first attempt to dig and explore the whole picture, and refine the dimensions of Chinese culture from individual level and social level. It aims to lay a foundation for the research related to Chinese culture, and to some extent, supply a theoretical support to motivate more researchers to explore more ways to improve the performance of expatriates from young CMNEs.

This paper presents the whole frame of Chinese culture and from an integral Chinese perspective digs the Chinese cultural dimensions from individual level and social level for the first time. According to the social cognitive theory, this paper provides a firm foundation for scholars to understand Chinese culture as well as to analyze the related relationship with performance, and for CMNEs to develop and utilize the effect of national culture to improve the performance of expatriates overseas. So far, the research on Chinese culture and the effect of national culture overseas have not yet been well considered.

This paper aims to explore the influence of founder shareholders’ resources on the allocation of control rights from the perspective of incomplete contract theory and resource-based theory.

This paper analyzes newspaper materials with NVivo11on a case of battle for corporate control in Chinese top-listed company-Vanke Group.

The research shows that human capital is the key resource and the holding proportion of financial resources directly affects the allocation of control rights. At the same time, social capital is unstable and easily broken. At last, institutional environment also affects the degree between the relationship of founder shareholders’ resources and the allocation of control rights. The influence of founder-shareholder resources on the allocation of control rights follows the path of “crisis – founder-shareholder’s resources – founder’s ability - allocation of control rights.”

This study only selects the financial capital, human capital and social capital of Shi Wang, the founder of Vanke, as the analysis object. The study can expand the types of founder shareholder resources to verify and enrich the conclusions.

The current theoretical research in the literature focuses on the necessity of equity and shareholder’s resources versus the control rights. Some key factors and mechanism on the relationship have not been fully clarified. The results of this paper not only extend the combination research of social network and corporate governance, but also provide enterprise founders with references for making reasonable decisions during control battle.