PURPOSE: This study aims to investigate how competitive orientation influences unethical decision-making (UDM) through relationship conflict and the moderating effect of hostile attribution bias. METHODS: This study was conducted using a self-report questionnaire. Data were collected from 727 employees in Chinese hospitals. For each variable, measures were adopted or adapted from existing literature. Data were analyzed using descriptive statistics, correlation analysis, confirmatory factor analysis, and hierarchical regression analysis. Common method variance was established using Harman's single-factor test. RESULTS: Competitive orientation is significantly and positively associated with relationship conflict (β = .36, p < .001) and UDM (β = .35, p < .001). Relationship conflict is significantly and positively associated with UDM (β = .51, p < .001). Relationship conflict partially mediates the relationship between competitive orientation and UDM. In addition, hostile attribution bias strengthens the positive relationship between competitive orientation and UDM through relationship conflict. CONCLUSION: This study provides some implications for hospital employees to deal with ethical dilemmas in decision-making. Hospital employees including nurses, physicians, and other health-care professionals should raise awareness of competitive orientation and adopt a cooperative approach to human relations. Effective training programs should be utilized to direct all hospital employees to depress hostile attribution bias whenever possible to everything in clinical practice.
Asian Continental Ancestry Group ; Bias (Epidemiology) ; Conflict (Psychology) ; Decision Making ; Education ; Ethics, Clinical ; Hostility ; Humans ; Methods

Purpose: Drawing on person–environment fit theory and social cognitive theory, this study aimed to examine how self-efficacy affects nurses’ workplace well-being via person-job fit and the moderating role of digital competence. Methods: A two-wave survey was conducted to collect data. Data were collected from six hundred and ninety-five nurses at three Chinese hospitals between May 2022 and September 2022. We employed hierarchical regression analysis and bootstrapping to analyze the data. Results: Self-efficacy positively influenced person-job fit (β = .55, p < .001), which positively affected nurses’ workplace well-being (β = .32, p < .001). Person-job fit mediated the effect of self-efficacy on nurses’ workplace well-being. Additionally, digital competence strengthened the positive impact of self-efficacy on person-job fit (β = .12, p < .001). Conclusion Recruiting nurses with both self-efficacy and digital competence benefits hospitals. It is critical for nurses to improve their digital competence for achieving person-job fit and attaining workplace well-being in the post-coronavirus disease 2019 (COVID-19) era.