Zhen Xu

Background: The three-dimensional model of nurses’ moral sensitivity has typically been studied using a variable-centered rather than a person-centered approach, preventing a more complete understanding of how these forms of moral sensitivity are expressed as a whole. Latent profile analysis is a person-centered approach that classifies individuals from a heterogeneous population into homogeneous subgroups, helping identify how different subpopulations of nurses use distinct combinations of different moral sensitivities to affect their service behaviors. Objective: Latent profile analysis was used to identify three distinct profiles of nurses’ moral sensitivity. Associations of the profiles with service behaviors were then examined. Methods: Five hundred twenty-five nurses from three tertiary hospitals in China were investigated with Moral Sensitivity Questionnaire and Nurses’ Service Behavior Scale. Latent profile analysis was used to analyze the data. Ethical considerations: Approval was obtained from the Ethics committee for biomedical research of Medical College, the Hebei University of Engineering. Results: A three-profile moral sensitivity model provided the best fit to the data. The resulting profiles were low moral sensitivity, moderate moral sensitivity, and high moral sensitivity. There were significant differences in service behaviors among different profiles of moral sensitivity. Conclusion: The results provide a new and expanded view of nurses’ moral sensitivity, which may be used to monitor nurses’ service behaviors comprehensively and to evaluate nursing ethics management strategies.

Background Hospital ethical climate has important implications for clinical nurses’ service behavior; however, the relationships are complicated by the fact that five types of ethical climate (caring, law and code, rules, instrumental, and independence) can be combined differently according to their level and shape differences. Recent developments in person-centered methods (e.g., latent profile analysis (LPA)) have helped to address these complexities. Aim From a person-centered perspective, this study explored the distinct profiles of hospital ethical climate and then examined the relationships of the profiles with clinical nurses’ service behavior (both in-role and extra-role service behavior). Research design A quantitative study was conducted using cluster random sampling. Latent profile analysis and binary coded hexadecimal (BCH) analysis were conducted using Mplus 8.2. Participants and research context A total of 871 clinical nurses in China were surveyed using the Ethical Climate Scale and Nurses’ Service Behavior Questionnaire. Ethical considerations Ethical approval was obtained from the IRB of the First Affiliated Hospital of Jinan University (No. KY-2020-090). Results A four-profile hospital ethical climate model provided the best fit for the data. The four different profiles not only varied in level, but also in shape: high normative and low egoism (45.8%), high ethical climate (19.9%), low ethical climate (3.6%), and moderate ethical climate (30.8%). These profiles differentially predicted clinical nurses’ overall, in-role, and extra-role service behaviors. Conclusions The results reveal new insights into the nature of hospital ethical climate and how different clinical nurses in these profiles can be best managed to accomplish different forms of service behavior.

Growth mindset refers to our core belief that our talents can be developed through practice, which may influence our thoughts and behaviors. Growth mindset has been studied in a variety of fields, including education, sports, and management. However, few studies have explored whether differences in individuals’ growth mindsets influence college students’ self-reported mental health. Using the Growth Mindset Scale, Adolescent Self-rating Life Events Checklist, and SCL-90 Scale, data was collected from 2,505 freshmen in a University in China. Findings revealed that the students within the growth mindset group scored significantly lower on “mental health issues” and “stress due to life events” than the students in the fixed mindset group. Our findings suggest that individuals with a growth mindset are less prone to mental health problems than individuals with a fixed mindset.

BackgroundIn recent years, some researchers have engaged in scientific misconduct such as fabrication, falsification, and plagiarism to achieve higher research performance. Considering their detrimental effects on individuals’ health status (e.g., patients, etc.) and extensive financial costs levied upon healthcare systems, such wrongdoings have even more salience in medical sciences. However, there has been little discussion on the possible influence of medical researchers’ existing creative performance on scientific misconduct, and the moral psychological mechanisms underlying those effects are still poorly understood.MethodsWe build a moderated mediation model to test how medical researchers’ creative performance affects their scientific misconduct and explore the role of moral licensing and moral identity in this process. Based on situational experiments and projection techniques, 287 medical researchers in China participated in a survey.ResultsMedical researchers’ creative performance positively relates to scientific misconduct, and moral licensing plays a mediating role in the relationship between them. In addition, moral identity has a negative moderating effect on the mediating effect of moral licensing on creative performance and scientific misconduct.ConclusionMoral licensing plays a fully mediating role in the relationship between creative performance and scientific misconduct. And moral identity negatively moderates the indirect effect of creative performance on scientific misconduct through moral licensing. The findings provide theoretical and practical implications for the prevention of medical researchers’ scientific misconduct.

The tourism and accommodation industry has long been a fertile field for digital entrepreneurial activities. However, sharing accommodation entrepreneurs have been ignored, whether in digital entrepreneurship or the sharing economy. This empirical study explored the relationship between start-up age and host growth based on the entrepreneurship learning theory to bridge the gap. In total, 348 hosts’ balanced panel data for 5 years were collected from the Airbnb platform. The results shown that there was a curvilinear relationship between start-up age and host growth; a critical primary growth strategy significantly moderated the curvilinear relationship such that the inverted U-shaped relationship is less pronounced when the level of product supply is high. This study is helpful to understand digital entrepreneurs in the sharing accommodation and offers management suggestions for host growth.

The widespread application of QR code technology is best represented by the health codes used in China’s pandemic prevention and control. This technology has enhanced the country’s ability to manage the pandemic by achieving higher efficiency and accuracy. Unfortunately, a certain segment of the older population has encountered difficulties in adapting and maintaining their daily activities. This indicates the limitations of QR code technology in achieving social isolation. This article argues that for a more comprehensive pandemic prevention and control policy system to be established, managing the implementation of this very technology should be done in a more humane fashion, i.e. under the guidance of three moral principles: benevolence, justice, and non-maleficence. By doing so, implementation of QR code technology is done in a way that is not only conducive to COVID-19 prevention and control but also mitigate marginalization of the older people. In the post-pandemic era, the socialization of digital technology will accelerate. Therefore, in the field of public health, we should direct attention not only to the fair distribution of resources but also to the issue of identity that arises due to digital divide.