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Ti6Al4V is a widely used metal for biomedical application due to its excellent corrosion resistance, biocompatibility and mechanical strength. However, a coupling reaction of friction and corrosion is the critical reason for the failure of implants during the long-term service in human body, shortening the life expectancy and clinical efficacy of prosthesis. Hence, this study aims to find a feasible approach to modify the service performances of Ti6Al4V.

Selective laser melting (SLM), as one of the emerging metal-based additive manufacturing (AM) technologies is capable for fabricating patient-specific personalized customization of artificial prosthesis joints, owing to its high adaptability for complex structures. This study is concerned with the tribocorrosion behavior of SLM fabricated Ti6Al4V substrate enhanced by laser rescanning and graphene oxide (GO) mixing. The tribocorrosion tests were performed on a ball-on-plate configuration under the medium of simulated body fluid (SBF). Moreover, the surface morphologies, microstructures, microhardness and contact angle tests were used to further reveal the in-situ strengthening mechanism of GO/Ti6Al4V nanocomposites.

The results suggest that the strengthening method of GO mixing and laser rescanning shows its capability to enhance the wear resistance of Ti6Al4V by improving surface morphologies and promoting the generation of hard phases. The wear volume of R-GO/Ti6Al4V is 5.1 × 10⁻² mm³, which is 25.0% lower than that of pure SLM-produced Ti6Al4V. Moreover, a wear-accelerated corrosion of the Ti6Al4V occurs in SBF medium, leading to a drop in the open circuit potential (OCP), but R-GO/Ti6Al4V has the lowest tendency to corrosion. Compared to that of pure Ti6Al4V, the microhardness and contact angle of R-GO/Ti6Al4V were increased by 32.89% and 32.60%, respectively.

Previous investigations related to SLM of Ti6Al4V have focused on improving its density, friction and mechanical performances by process optimization or mixing reinforcement phase. The authors innovatively found that the combination of laser rescanning and GO mixing can synergistically enhance the tribocorrosion properties of titanium alloy, which is a feasible way to prolong the service lives of medical implants.

The purpose of this paper is to respond to calls in the literature to examine personality variables which may provide sharper insights into accountants’ judgments in applying principles-based International Financial Reporting Standards (IFRS). This paper contributes to the literature on the global convergence of financial reporting by examining the influence of an important personality variable, construal of self, on Chinese accountants’ aggressive financial reporting judgments.

A between-subjects quasi-experiment was applied. In total, 122 Chinese professional accountants were categorized as either independents or interdependents, on the basis of their scores on construal of self scales. Subjects made their consolidation reporting judgments in the manipulated situations based on the financial performance of the investee entity, which refers to the situation where the investee entity makes a significant profit or a significant loss in the reporting period.

Compared to interdependent accountants, independent accountants used the flexibility allowed in the principles-based standards to make more aggressive consolidation reporting judgments. Also, adoption of IFRS may not necessarily ensure consistent judgments even within China.

This paper provides empirical evidence of the importance of construal of self in examining accountants’ aggressive judgments. The authors suggest that it may be premature to assume that adoption of IFRS will lead to comparable financial reporting. The findings are relevant to researchers who are interested in examining personality and cultural influences on accountants’ judgments both within and across countries. Companies and organizations may incorporate appropriate strategies to recruit and train independent and interdependent accountants, particularly by addressing the influence of construal of self on aggressive financial reporting judgments.

Time-cost trade-off is normal conduct in construction projects when projects are expectedly late for delivery. Existing research on time-cost trade-off strategic management mostly focused on the technical calculation towards the optimal combination of activities to be accelerated, while the managerial aspects are mostly neglected. This paper aims to understand the managerial efforts necessary to prepare construction projects ready for an upcoming trade-off implementation.

A preliminary list of critical factors was first identified from the literature and verified by a Delphi survey. Quantitative data was then collected by a questionnaire survey to first shortlist the preliminary factors and quantify the predictive model with different machine learning algorithms, i.e. k-nearest neighbours (kNN), radial basis function (RBF), multiplayer perceptron (MLP), multinomial logistic regression (MLR), naïve Bayes classifier (NBC) and Bayesian belief networks (BBNs).

The model's independent variable importance ranking revealed that the top challenges faced were the realism of contractual obligation, contractor planning and control and client management and monitoring. Among the tested machine learning algorithms, multilayer perceptron was demonstrated to be the most suitable in this case. This model accuracy reached 96.5% with the training dataset and 95.6% with an independent test dataset and could be used as the contingency approach for time-cost trade-offs.

The identified factor list contributed to the theoretical explanation of the failed implementation in general and practical managerial improvement to better avoid such failure. In addition, the established predictive model provided an ad-hoc early warning and diagnostic tool to better ensure time-cost implementation success.

Drawing on the dual-strategies theory of social rank and leader distance theory, this paper aims to investigate the influence of supervisor bottom-line mentality (BLM) on employee knowledge-related behaviors by considering the mediating role of perceived leader prestige or dominance and the moderating role of supervisor–subordinate guanxi (SSG).

This study collected survey data from 185 research and development employees in East China at three-time points. The authors conducted path analysis and bootstrapping-based analytic approach to test the hypotheses by Mplus7.0.

The results showed that supervisor BLM has a negative effect on employee knowledge sharing and a positive effect on knowledge hiding. Besides, perceived leader prestige or dominance mediated the relationship between supervisor BLM and employee knowledge hiding. Furthermore, SSG moderated the relationship between supervisor BLM and perceived leader prestige or dominance, as well as the indirect effects of supervisor BLM on knowledge hiding via perceived leader prestige or dominance.

There is limited research on investigating the influence of supervisor BLM in the field of knowledge management. The authors carried out this study to provide evidence of how and when supervisor BLM affects employee knowledge sharing and hiding.

In the period of organizational change and transformation, the attitude of employees towards change has become a key factor in the success of organizational change. Based on the uncertainty management theory (UMT), the paper considers authentic leadership as an important antecedent of employee resistance to change and explores the mediating role of perceived uncertainty and the moderating role of uncertainty avoidance between authentic leadership and employee resistance to change.

The paper conducted a questionnaire survey study and a scenario experimental study. In study 1, the authors collected two stages of data from 256 employees in Central China, one month apart. In study 2, the authors designed a scenario experiment and invited 130 Chinese adults to participate.

The authors find that authentic leadership can effectively reduce employee resistance to change by reducing employee perceived uncertainty. In addition, for individuals with a higher (vs lower) degree of uncertainty avoidance, the direct impact of authentic leadership on perceived uncertainty and the indirect impact of authentic leadership on resistance to change through perceived uncertainty are both stronger (vs lower).

The presented results reveal the mechanism between authentic leadership and employee resistance to change from cognitive perspective and depict an important step toward understanding how authentic leadership and employee uncertainty avoidance interact and how they interact with employee resistance to change.

Taking a dynamic endogenous perspective, this study aims to examine neglected endogeneity issues in the relationship between corporate social responsibility (CSR) and brand value and the relationship’s moderation by corporate governance.

The study uses the three-stage least squares (3SLS) method on 990 samples of the 110 most valuable listed companies published by the World Brand Lab for 2013–2021 to empirically test the two-way interactive endogenous relationship between CSR and brand value.

The findings reveal that increasing investment in CSR increases brand value in the current period, which prompts companies to reduce investment in social responsibility, resulting in a decline in future brand value. Concerning the moderating effect of corporate governance variables, the size of the board of directors and the board’s proportion of independent directors positively regulate the relationship between CSR and brand value. By contrast, the proportion of executive shareholdings has a negative impact.

This study’s findings complement previous studies on endogeneity in the relationship between CSR and brand value, and enrich the literature on corporate governance, CSR and brand value as a whole. In addition, the study uses the 3SLS method, which avoids endogeneity problems and eliminates the one-sidedness of the subjective selection of instrumental variables.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

This study is the first that aims to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.

Multiple spatial weight matrices can capture the contiguity of spatial units from various dimensions, which could be exploited to improve the precision of inference as well as prediction accuracy. To the best of the authors’ knowledge, this is the first study to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.

With network structure analysis, this study finds that they contain different information content from the perspective of graphical display, node strength and correlation. Developed and emerging countries all play major roles in trade connection, while only developed countries play major roles in financial linkage. Second, by applying the multidimensional SAR model, only the spatial autocorrelation coefficients for trade and financial linkages are significant during the full sample period, which is in sharp contrast to published studies using the SAR model with a single matrix. Third, the spillover channels that play major roles in various periods are different. Only trade channel plays a role during crisis periods and it is the most important. Fourth, the spatial correlation among countries greatly amplifies the shock’s impacts on one market. And spatial effect for developed countries is larger than those for emerging countries, while the mean spatial effect of a unit shock in the USA on emerging countries is slightly greater than that on developed countries.

Multiple spatial weight matrices can capture the contiguity of spatial units from various dimensions, which could be exploited to improve the precision of inference as well as prediction accuracy. To the best of the authors’ knowledge, this is the first study to investigate international transmission channels of sovereign risk among G20 and explore its influential factors by applying the multidimensional SAR model.