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The purpose of this paper is to demonstrate the effect of δ-ferrite on the susceptibility to hydrogen embrittlement of type 304 stainless steel in hydrogen gas environment.

The mechanical properties of as-received and solution-treated specimens were investigated by the test of tensile and fatigue crack growth (FCG) in 5 MPa argon and hydrogen.

The presence of δ-ferrite reduced the relative elongation and the relative reduction area (H₂/Ar) of 304 stainless steel, indicating that δ-ferrite increased the susceptibility of hydrogen embrittlement in 304 stainless steel. Moreover, δ-ferrite promoted the fatigue crack initiation and propagation at the interface between δ-ferrite and austenite. The FCG tests were used to investigate the effect of δ-ferrite on the FCG rate in hydrogen gas environment, and it was found that δ-ferrite accelerated the FCG rate, which was attributed to rapid diffusion and accumulation of hydrogen around the fatigue crack tip through δ-ferrite in high-pressure hydrogen gas environment.

The dependence of the susceptibility to hydrogen embrittlement on δ-ferrite was first investigated in type 304 steel in hydrogen environment with high pressures, which provided the basis for the design and development of a high strength, hydrogen embrittle-resistant austenitic stainless steel.

This paper aims to propose an odor sensing system based on wide spectrum for e-nose, based on comprehensive analysis on the merits and drawbacks of current e-nose.

The wide spectral light is used as the sensing medium in the e-nose system based on continuous wide spectrum (CWS) odor sensing, and the sensing response of each sensing element is the change of light intensity distribution.

Experimental results not only verify the feasibility and effectiveness of the proposed system but also show the effectiveness of least square support vector machine (LSSVM) in eliminating system errors.

Theoretical model of the system was constructed, and experimental tests were carried out by using NO₂ and SO₂. System errors in the test data were eliminated using the LSSVM, and the preprocessed data were classified by euclidean distance to centroids (EDC), k-nearest neighbor (KNN), support vector machine (SVM), LSSVM, respectively.

The system not only has the advantages of current e-nose but also realizes expansion of sensing array by means of light source and the spectrometer with their wide spectrum, high resolution characteristics which improve the detection accuracy and realize real-time detection.

Social information is crucial to credit ratings and can improve the accuracy of the traditional credit assessment model. Drawing on the resource-based view (RBV) and social capital theory (SCT), this research explores the relationships between corporate social activities, network centrality and corporate credit behavior.

The authors used social network analysis (SNA) and regression analysis to analyze the data collected from 14,544 enterprises on the Alibaba platform.

The results indicate that among the four types of social activities, the number of corporate questions and posts shows a positive relationship with credit behavior; while the number of corporate comments has negative relationship with credit behavior. Further, degree and betweenness centralities mediate the relationship between the number of corporate questions, posts and comments with credit behavior.

This study contributes to the literature on non-financial factors (soft information) by exploring the social behavioral factors related to corporate credit. In addition, this study offers a new theoretical lens and reasonable explanations for investigating the relationship between corporate social activities, network centrality and credit behavior from the perspective of the resource-based view, while most studies are predictive and methodological. Moreover, this study provides new insights for platforms to evaluate enterprise credit and for managers to improve credit behavior.

Membrane biological reactor (MBR) is recognized as an efficient and steady wastewater treatment process. The purpose of this study is to reveal the research trends of scientific outputs on MBR for the past 32 years.

A method of bibliometric analysis was performed, based on the online version of the Science Citation Index Expanded, Web of Science, from 1982 to 2013. In total, 5,305 articles related to MBR were evaluated. A new method named “word cluster analysis” was also used for further analysis.

Results showed a rising trend of publications in this research field. English was the main language used in these articles. Journal of membrane science published the most articles, proving to be one of the most authoritative journals. China and Dalian University of Technology were the most productive country and institute, respectively. Except for “membrane bioreactor” and “MBR”, “membrane fouling” was the most cited keyword, indicating the research hotspot nowadays and future.

This study serves as an alternative and innovative way of revealing the research trends in MBR research.

The purpose of this paper is to develop a model that integrates moral disengagement (MD) and organizational ethical climate (OEC) to understand information security policy (ISP) violation behavior in the workplace. This study extends prior work by identifying the moderating mechanisms of the ethical culture of OECs in the relationship between employees’ MD and ISP violation behavior intention.

By using scenario-based survey data from 433 employees in Chinese enterprises and by applying PLS-based structural equation modeling, the authors test a series of hypotheses.

Our empirical results highlight that the concept of MD has a significant effect on employees’ intention to violate ISPs. The authors also find that the OEC has a moderating role in the relationship between MD and ISP violation intention: the moderating role of law-and-rule-oriented OEC is significantly negative, but instrumentalism-oriented OEC positively moderates this relationship.

This study contributes to the literature on information security behavior by integrating two ethical theory frameworks MD and OECs into one theoretical model, and it calls attention to how ethical factors at the individual cognition level and organizational climate level work together to influence personal information security behavior. This study provides a new perspective of OEC from which to understand policy violation caused by moral self-regulation failure, and empirically explores its moderating role.

The purpose of this paper is to study the impact of corporate governance on financial restatements in China, with a view to providing reference to strengthen the corporate governance and improve the quality of financial information.

The authors investigate associations between financial restatements and corporate governance via a sample of 1,147 listed companies from the period of 2002 to 2006, which includes 880 annual accounting restatements by 465 companies. Logistic model is used to regress restatement dummy variable on not only the equity and board structure, but also the quality of independent auditors. The restatements in this paper are caused by performance‐related accounting errors.

It was found that accounting misstatements related to performance could be prevented or restrained by strong internal governance, such as a board of higher percentage of outside directors and an audit committee that could oversee the accounting and financial reporting process on behalf of all shareholders, and outside governance, such as a big stockholder and a strong outside auditor from the Big4 accounting firms. However, the matched test shows the effect of audit committee on controlling restatements is endogenous, which relies on the effects of other governance factors.

In China, studies on the impact of corporate governance on financial restatements are few and the existing empirical researches show the selected samples are small, which constitute small part of the revision of accounting errors. In this paper, the data are more accurate and comprehensive than previous research and matched sample method was used to alleviate the impact of endogeneity of some explanatory variables. So, the conclusions are more reliable than in the past.

The rapid development of the Internet in China has profoundly affected the country's charities, which many people support through online donations (e.g. providing financial help) and charity information forwarding (a new behavior of participating in online charities via social media). However, the development of online charities has been accompanied by many problems, such as donation fraud and fake charity information, which adversely affect social kindness. The purpose of this paper is to understand people's online donation and forwarding behaviors and to explore the mechanisms of such behaviors from the perspectives of cognitive-based trust and emotional-based empathic concern.

This study developed a research model based on the elaboration likelihood model (ELM) and stimulus–organism–response (SOR) model. The researchers obtained 287 valid samples via a scenario-based experimental survey and conducted partial least squares structural equation modeling (PLS-SEM) to test the model.

The results indicated that (1) online donation intention is motivated by rational-based trust and emotional-based empathic concern; (2) online charity information forwarding is triggered only when trust is built, and there is no significant correlation between empathic concern and forwarding intention; and (3) content quality, initiator credibility, and platform reputation are three critical paths to promote trust; in addition, an individual's empathic concern can be motivated by the emotional appeal.

This study highlights the different mechanisms of donation and forwarding behaviors and provided theoretical measures for motiving trust and empathic concern in the online context to promote people's participation in online charity.

This paper provides the strategic direction and coordination mechanism selection for the intelligent transformation of manufacturing enterprises.

A theoretical framework is developed through grounded theory and case analysis.

Collaboration value is the building block of the intelligent product ecosystem. The ecosystem is upgraded via a path of product coordination, platform coordination and network coordination.

This paper provides a framework for enterprises to build an intelligent product ecosystem.

The proposed intelligent product ecosystem framework is new to the literature and lays down a fruitful avenue for future research.

To support vaccine decision-making, a growing number of parents use online communities to obtain informational and emotional support; however, relatively high information heterogeneity and polarization in the online environment make it challenging for parents to make informed vaccine decisions based on the systematic processing of conflicting information. In this context, this study aims to focus on the relationship between parents’ knowledge integration and rational and experiential decision-making and the mediating effect of anxiety on this relationship.

A theoretical model incorporating the direct and indirect effects of knowledge integration and anxiety on decision-making is proposed and tested through partial least squares structural equation modeling with survey data from 223 parents.

Knowledge integration negatively affects anxiety. Knowledge integration has a direct positive effect on rational decision-making and an indirect negative effect on experiential decision-making.

These insights into the key role of knowledge integration in parental vaccine decision-making under information heterogeneity and polarization provide support for practical strategies to encourage knowledge integration and alleviate anxiety in online communities.

This study underscores the importance of knowledge integration in vaccine decision-making under information heterogeneity and polarization and reveals distinct mechanisms underlying the effects of knowledge integration on decision-making dominated by rational and experiential modes. The findings also provide insights into the information processing mechanisms underlying the knowledge integration of subjects with insufficient prior knowledge in the non-organizational context.

Recently, the spread of malicious IT has been causing serious privacy threats to mobile device users, which hampers the efficient use of mobile devices for individual and business. To understand the privacy security assurance behavior of mobile device users, this study aims to develop a theoretical model based on technology threat avoidance theory (TTAT), to capture motivation factors in predicting mobile device user’s voluntary adoption of security defensive software.

A survey is conducted to validate the proposed research model. A total of 284 valid survey data are collected and partial least square (PLS)-based structural equation modeling is used to test the model.

Results highlight that both privacy concern and coping appraisal have a significant impact on the intention to adopt the security defensive software. Meanwhile, privacy security awareness is a crucial determinant to stimulate mobile device user’s threat and coping appraisal processes in the voluntary context. The results indicate that emotional-based coping appraisal of anticipated regret is also imperative to arouse personal intention to adopt the security tool.

This result should be of interest to practitioners. Information security awareness training and education programs should be developed in a variety of forms to intensify personal security knowledge and skills. Besides, emotion-based warnings can be designed to arouse users’ protection behavior.

This paper embeds TTAT theory within the mobile security context. The authors extent TTAT by taking anticipated regret into consideration to capture emotional-based coping appraisal, and information security awareness is employed as the antecedent factor. The extent offers a useful starting point for the further empirical study of emotion elements in the information security context.