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In the online microloan market, the ability to evaluate the credit risk of borrowers is key to business success. Based on the general strain theory, this study proposes a contextualized two-stage model with stress factors, negative affects and constraint factors to explain the psychological mechanism of borrowers' default behaviors.

An online survey is conducted to test the hypotheses. We collect and analyze 713 valid responses through a structural equation model.

(1) Economic and social strains experienced by borrowers can cause four types of negative affects: life dissatisfaction, perceived unfairness, inferiority feeling and loneliness; (2) Both strains and negative affects have a considerable effect on borrowers' default intention; (3) Moral norm plays a negative moderating role in the relationship between strains, negative affects and default behavior, whereas perceived deterrence shows a strong main effect.

(1) This study introduces the GST from sociology and criminology, and contextualizes it in the microloan context to explain default behavior; (2) This study provides a comprehensive and staged psychological mechanism to explain deviant behavior; (3) This study bears critical implications for the current practice in credit assessment and default prevention.

The purpose of this paper is to investigate what may influence participation in mobile collaborative consumption (CC). In particular, the authors investigate the effects of individual sociability and psychological antecedents including enjoyment, social connection, altruistic motivation, reputation, trust and embarrassment on the participation intention in this emerging phenomenon, as well as their relationships.

Survey approach was employed to validate the research model.

Hedonic factor, i.e. enjoyment, and social-related factors including altruistic motivation, reputation and embarrassment emerge as important antecedents of participation in mobile CC. On top of these factors, individual sociability plays an important role, by acting as a direct antecedent of the dependent variable, while also influencing their perceived greater altruistic motivation and reputation from participating in the CC. Yet, sociability has no significant effect on perceived enjoyment and embarrassment associated with the activity, suggesting that addressing these factors may encourage individuals with low sociability to participate.

This study taps into mobile technology to support CC in daily consumption activities, and highlights the factors that influence people’s participation in such activities. More importantly, the findings suggest that while it is more likely for individuals with high sociability to participate in this emerging form of social activities, for consumers with low sociability, addressing the enjoyment aspect and embarrassment issue of the activities may nonetheless promote their participation.

Reconstructing multi-layer tissue structure using cell printing to repairing complex tissue defect is a challenging task, especially using in situ bioprinting. This study aims to propose a method of in situ bioprinting multi-tissue layering and path planning for complex skin and soft tissue defects.

The scanned three-dimensional (3D) point cloud of the skin and soft tissue defect is taken as the input data, the depth value of the defect is then calculated using a two-step grid division method, and the tissue layer is judged according to the depth value. Then, the surface layering and path planning in the normal direction are performed for different tissue layers to achieve precise tissue layering filling of complex skin soft tissue defects.

The two-step grid method can accurately calculate the depth of skin and soft tissue defects and judge the tissue layer accordingly. In the in situ bioprinting experiment of the defect model, the defect can be completely closed. The defect can be reconstructed in situ, and the reconstructed structure is basically the same as the original skin tissue structure, proving the feasibility of the proposed method.

This study proposes an in situ bioprinting multi-tissue layering and path planning method for complex skin and soft tissue defects, which can directly convert the scanned 3D point cloud into a multi-tissue in situ bioprinting path. The printed result has a similar structure to that of the original skin tissue, which can make cells or growth factors act on the corresponding tissue layer targets.

This study brings knowledge economy and sharing to advance environmental, social and governance (ESG). Nevertheless, knowledge economy is a broad research field and dynamic phenomenon. To fill this lacuna, the purpose of this study is to build a link between the literature field of knowledge economy and sharing to advance each ESG limitation. To achieve this aim, the authors have (1) presented the prevailing state of research on the literature field of knowledge economy and sharing and (2) provided future research avenues for understanding the ESG.

Therefore, this study has conducted a bibliometrics-based visualization analysis of literature data of 169 publications in knowledge economy field from 2010 to 2020. The authors classify findings into five clusters mapping the evolution of knowledge economy.

The analytical findings indicate the linkages between these clusters with ESG, as well as the application of knowledge economy to advance ESG limitations. This study offers future research implications for knowledge management scholars and managerial suggestions to ESG practitioners.

ESG is a newly emerging investment concept and corporate evaluation standard aiming at exploring a sustainable development path and striking a balance between commercial value and corporate social responsibility. But the status quo indicates identical ESG limitations due to the board of directors’ limited knowledge capacity, inconsistent and ununified ESG measurement and a lack of ESG information. In parallel, knowledge economy has increasingly created a huge higher rate of return and benefits towards this disruptive society. This study brings knowledge economy and sharing to advance ESG. Nevertheless, knowledge economy is a broad research field and dynamic phenomenon.