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Shortest distance query between a pair of nodes in a graph is a classical problem with a wide variety of applications. Exact methods for this problem are infeasible for large-scale graphs such as social networks with hundreds of millions of users and links due to their high complexity of time and space. The purpose of this paper is to propose a novel landmark selection strategy which can estimate the shortest distances in large-scale graphs and clarify the efficiency and accuracy of the proposed strategy in comparison with currently used strategies.

Different from existing strategies, the landmark selection problem is regarded as a binary combinational optimization problem consisting of two optimization objectives and one constraint. Further, the original binary combinational optimization problem with constraints is transformed to a proper form of optimization objectives without any additional constraints and the equivalence of solutions is proved. Finally the solution of the optimization problem is performed with a modified multi-objective particle swarm optimization (MOPSO) integrating the mutation operator and crossover operator of genetic algorithm.

Four real networks of large scale are used as data sets to carry out the experiments and the experiment results show that the proposed strategy improves both of the accuracy and time efficiency to perform shortest distance estimation in large scale graph compared to other currently used strategies.

This paper proposes a novel landmark selection strategy which regards the landmark selection problem as a binary combinational optimization problem. The original binary combinational optimization problem with constraints is transformed to a proper form of optimization objectives without constraints and the equivalence of these two optimization problems is proved. This novel strategy also utilizes a modified MOPSO integrating the mutation operator and crossover operator of genetic algorithm.

The aims of this paper is to establish an appropriate physical-change-based renewal (PCBR) projects selection mechanism capable of selecting the combination of the PCBR projects that can make up an integrated urban renewal program in high-density cities.

The research design follows a sequential integrated methodology that combines the calculation algorithms of Fuzzy Analytic Network Process (Fuzzy-ANP) with Zero-One Goal Programming (ZOGP) to support decisions for the selection of PCBR projects. In the first phase, general criteria for assessing the sustainability performance of PCBR projects were collected from relevant literature. In the second phase, the Fuzzy-ANP was used to identify the priority weights of the candidate projects through clarifying the interdependent degree between the criteria and candidate projects. Finally, ZOGP method was selected as a predetermined number of PCBR projects among candidate projects.

The feasibility and effectiveness of this hybrid approach is then verified in a case study of Yuzhong District, Chongqing in China. The results of this study indicate that the integrated method is capable of directing the decision maker toward the best compromising solution of PCBR program that can achieve the maximization of sustainable benefits and allocate limited resources most efficiently.

The novelty of this paper consists in combining the algorithms of the Fuzzy-ANP method with those of the ZOGP model that serves as an effective analysis tool to address practical decision problems. This is the first hybrid algorithms to make PCBR projects selection decision that reach the maximization of the sustainable benefits, both in economic and socio-environmental terms.

This study examined the influence of corporate governance (CG) in relation to venture capital (VC) investment on invested firm's corporate social responsibility (CSR) performance in the Chinese context. More specifically, this paper examined the mediation of the proportion of independent directors (INDD), management shareholding (MSH) and executives' political connections (POLC) in the above-mentioned relationship.

This empirical study performed multiple mediation testing and bootstrap mediation robustness test on data from Chinese A-class shares IPO companies between 2010 and 2018.

The results of direct relationship analysis showed that VC support is detrimental to firm' CSR performance, consistent with previous research studies. The indirect effect analysis showed that VC reduced firm' CSR through reduction of INDD on board and increased MSH. Conversely, VC contributed to firm's CSR through higher POLC, which confirmed the significance of the joint mediation model.

This study offers stakeholders the opportunity to develop a deeper understanding of the role of VC institutions, independent directors and executives, in terms of firm's CSR, as well as provides insights on control rights allocation and policy drafting on independent directors when considering accessing VC support.

By analyzing the mediation model of the VC–CSR relationship, this paper provides evidence to enrich the debate on the role of CG in the relation between VC and firm's CSR.

There are process uncertainties and material property variations during laminated steel sheet forming, and those fluctuations may result in non-reliable forming quality issues such as fracture and delamination. Additionally, the optimization of sheet forming process is a typical multi-objective optimization problem. The target is to find a multi-objective design optimization and improve the process design reliability for laminated sheet metal forming. The paper aims to discuss these issues.

Desirability function approach is adopted to conduct deterministic multi-objective optimization, and response surface is used as meta-model. Reliability analysis is conducted to evaluate the robustness of the multi-objective design optimization. The proposed method is implemented in a step-bottom square cup drawing process. First, forming process parameters and three noise factors are assumed as probability variables to conduct reliability assessment of the laminated steel sheet forming process using Monte Carlo simulation. Next, only two forming process parameters, blank holding force and frictional coefficient, are considered as probability variables to investigate the influence of the forming parameter deviation on the variance of the response using the first-order second-moment method.

The results indicate that multi-objective design optimization using desirability function method has high efficiency, and an optimized robust design can be obtained after reliability assessment.

The proposed design procedure has potential as a simple and practical approach in the laminated steel sheet forming process.

This paper aims to focus on the preparation of Kevlar fiber (KF) and alkaline hydrolyzed KF (KF-H) to improve the dispersed condition of polyaniline (PAn), as the aggregation of PAn would lead to some adsorption sites buried. And then the materials were used to enrich anionic dye Congo red (CR) from aqueous solution.

The materials (KF@PAn and KF-H@PAn) were designed by means of “diffusion-interfacial-polymerization” under mild condition as high affinity due to the structural properties of PAn, KF and KF-H. The dispersed degree of PAn on the surface of KF and KF-H was validated according to adsorption efficiency for CR.

The content of PAn introduced was not beyond 20 wt.%, while adsorption capacity for CR was significantly enhanced by 4–8 times (on the basis of kinetic data) according to the calculation only by the content of PAn due to KF and alkaline hydrolyzed KF exhibited almost no adsorption for CR, indicating dispersed situation of PAn coating was greatly enhanced and more active sites exposed, which was favorable for the adsorption process. Presence of NaCl would exhibit a more or less positive effect on CR uptake, suggesting the materials could be used for high salt environment.

The investigated means of dispersed degree of PAn on the surface of KF and KF-H are the further and future investigation.

This study will provide a method to improve the dispersed situation of PAn and a theoretical support to treat anionic dyes from aqueous solution especially for salt environment.

The results showed that the dispersed condition of PAn on the surface of KF and KF-H was greatly improved. According to the adsorption capacities for CR, it can be concluded that part of adsorption sites were buried due to the aggregation of PAn, and introduction of KF and KF-H, buried adsorption sites decreased greatly. This study will provide a method to decrease buried adsorption sites of PAn and a contribution for their convenient application in wastewater treatment especially for high salt environment.

This study aims to examine the effect of supplier supply network (SSN) resources on buyer–supplier collaborative product innovation. The existing relevant studies from the network perspective are focused more horizontally on the mobilization of the firm’s entire supplier network resources and less vertically on the utilization of the individual supplier's supply network resources. Therefore, this paper takes a contingency perspective, regards the buyer as the receiver of a supplier’s supply network resources and, based on the theoretical motivation–opportunity–ability framework, explores the important motivation and ability factors that may weaken or enhance the product innovation value of the network resources.

This paper develops a new research model that assesses how the innovation utilization effectiveness of SSN resources is contingent on a buyer’s perception of the SSN effects and relative absorptive capacity on the SSN. A large sample questionnaire is designed and collected from 300 Chinese high-tech manufacturing firms and their suppliers. An empirical test is carried out in which multiple regression analysis is applied to 246 valid sample data.

The results show that SSN resources can significantly enhance buyer–supplier collaborative product innovation; however, the innovation utilization effectiveness is limited by the buyer’s relative absorptive capacity for the SSN and perception of the SSN effects. Specifically, if a buyer perceives that a greater innovation effect of a supplier’s supply network is correlated with an improved relative position in the SSN or with higher network structural equivalence and network cognitive congruence between the buyer and the supplier on the SSN, then the buyer will be more motivated and capable of transforming the SSN resources into actual product innovation value.

The research results provide useful guidance for firms to effectively mobilize their SSN resources to tap into the supplier innovation value for a sustainable competitive advantage.

This paper extends the research on supplier innovation value to the SSN field. Through linking dyadic and network levels of analysis, this paper reveals the value and uniqueness of product innovation utilization of a specific supplier’s supply network resources in the buyer–supplier relationship and provides a new research perspective for future studies on related issues.

Safety professionals' primary job is to execute safety control measures towards frontline personnel, and previous studies focus on the effectiveness of such controls. Rare research efforts, however, have been devoted to the effectiveness of management control measures towards safety professionals themselves. This study aimed to fill up this knowledge gap by examining whether safety professionals under differing management control configurations differ in their work attitudes, including affective commitment, job satisfaction, career commitment and intention to quit.

Drawing on a holistic view of control, five forms of management control, i.e. outcome control, process control, capability control, professional control and reinforcement, were investigated. A cross-sectional questionnaire survey targeting at construction safety professionals was conducted. The latent profile analysis approach was employed to identify how the five forms of management control are configured, i.e. identifying the distinctive patterns of control profiles. The Bolck–Croon–Hagenaars method was then used to examine whether safety professionals' work attitudes were different across the identified control profiles.

Seven distinct control profiles were extracted from the sample of 475 construction safety professionals. The overall test of outcome means showed that mean levels of affective commitment, job satisfaction and intentions to quit were significantly different across the seven profiles. The largest that was also the most desirable subgroup was the high control profile (n = 161, 33.9%). The least desirable subgroups included the low control profile (n = 75, 15.8%) and the low capability and professional control profile (n = 12, 2.5%). Pairwise comparison suggested that capability, professional and process controls were more effective than outcome control and reinforcement.

In theory, this study contributes to the burgeoning literature on how to improve the effectiveness of control measures targeted at safety professionals. The results suggested that effective management controls involve a fine combination of formal, informal, process and output controls. In practice, this study uncovers the ways in which managers leverage the efforts of safety professionals in achieving safety goals. Particularly, it informs managers that the control configurations, instead of isolated controls, should be executed to motivate safety professionals.

Given a baffling contradiction that the availability of safety knowledge may not necessarily lead to workers' safety behavior, this study aims to develop an exploratory two-step working model of safety knowledge in translating safety climate into safety behavior. In particular, this study highlights the importance of articulating tacit safety knowledge and improving workers' systematic problem solving (SPS) capacity in a favorable safety climate.

This study uses 110 valid responses from Pakistan-based construction workers to test five hypotheses which embody the exploratory two-step working model of safety knowledge. The partial least squares structural equation modeling (PLS-SEM) is used to analyze the data.

The results of this study support the two-step working mechanism of safety knowledge in translating safety climate into safety behavior. Furthermore, results suggest that safety climate as a job resource facilitates converting construction workers' tacit safety knowledge into explicit safety knowledge (i.e. safety knowledge articulation) and then enabling them to spot non-conformities in safety management practices (i.e. SPS) and consequently to work safely (i.e. safety behavior).

The study has both theoretical and practical significance. In theory, it extends organizational learning theory and job demands-resources (JD-R) theory in the construction safety research domain and elaborates on the mediating role of safety knowledge articulation and SPS for the relationship between safety climate and safety behavior. In practice, it highlights the importance of continuous articulation of tacit safety knowledge and accumulation and use of explicit safety knowledge in construction safety management practices.

As a peer‐to‐peer scalable anonymous communication system, WonGoo is a tradeoff between anonymity and efficiency. Usually, the longer the path, the stronger the anonymity, but at the same time the heavier the overhead. WonGoo lengthens the anonymity path and reduces the overhead, providing strong anonymity and high efficiency with layered encryption and random forwarding. The purpose of this paper is to analyze its performance in detail.

The paper focuses on measure the performance of WonGoo system with probability theory. First, it gives a brief description of the system and evaluate its payload. Then it presents a detailed security analysis of the system.

It is shown that WonGoo can protect against (n − 1) attack and provide variable anonymity, as well as how confident the collaborators can be that their immediate predecessor is in fact the path initiator. The paper measures the anonymity degree provided by WonGoo system based on information entropy and compare it with other anonymity systems.

The paper is helpful for the further development of WonGoo system. In addition, the results presented in this paper will be useful for users to design other anonymity system.

WonGoo is a peer‐to‐peer anonymity system that provides strong anonymity and high efficiency with layered encryption and random forwarding. The paper presents a detailed analysis of its performance with probability theory and measures its anonymity degree with information theory.

China has a new rural revitalization strategy to stimulate rural transformation through modernizing rural areas and resolving their social contradictions. While social capital is recognized as an important element to rural revitalization and entrepreneurship, research into the role of psychological capital is less developed. Therefore, this paper assesses the impact of both social and psychological capital on entrepreneurial performance of Chinese new-generation rural migrant entrepreneurs (NGRMEs) who have returned to their homes to develop businesses as part of the rural revitalization revolution.

Based on a survey, data were collected from 525 NGRMEs in Shaanxi province. This paper uses factor analysis to determine variables for a multiple linear regression model to investigate the impacts of dimensions of both social capital and psychological capital on NGRMEs’ entrepreneurial performance.

Through the factor analysis, social capital of these entrepreneurs consists of five dimensions (reputation, participation, networks, trust and support), psychological capital has three dimensions (innovation and risk-taking, self-efficacy and entrepreneurial happiness) and entrepreneurial performance contains four dimensions (financial, customer, learning and growth, and internal business process). Furthermore, the multiple linear regression model empirically verifies that both social capital and psychological capital significantly influence and positively correlate with NGRMEs' entrepreneurial performance.

This study shows the importance of how a mixture of interrelated social and psychological dimensions influence entrepreneurial performance that may contribute to the success of the Chinese rural revitalization strategy. This has serious implications when attempting to improve the lives of over 100 million rural Chinese citizens.