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The purpose of this study is to identify critical demographic variables that would significant influence each dimension of patient safety culture. Understanding nurses' attitudes toward patient safety is important for healthcare organizations to relentlessly improve medical quality and services for patients.

The internal survey data sets in 2015 and 2016 from nurses' viewpoints are used. Linear regression with forward selection is applied where nine demographic variables are the input variables, while each dimension of the Chinese version of safety attitudes questionnaire (SAQ) is the dependent variable.

Supervisor/manager is the most essential demographic variable that has significant impacts on six dimensions. Experience in organization is the other critical demographic variable.

Nurses who are in charge of supervisors/managers are more satisfied in six of eight dimensions. Nurses who have much experience in an organization tend to have less satisfaction in three dimensions. Therefore, hospital management should enhance the leader's effectiveness in engaging their subordinates' commitment.

The results enable the hospital management to pay much attention to two major demographic variables, namely supervisor/manager and experience in organization, in order to improve the patient safety culture based on the Chinese version of SAQ in this hospital. Moreover, supervisor/manager is a more critical demographic variable for nurses due to larger absolute values of standardized coefficients by linear regression with forward selection.

This study empirically evaluates the effect of China’s 2016 Green Financial System (GFS) framework on corporate green development, focusing on the role of green investment in achieving sustainability.

This study uses a quasinatural experiment design to combine difference-in-difference and propensity score matching methods for analysis. It examines 799 polluting and 1,130 nonpolluting firms from 2013 to 2020, enabling a comprehensive assessment of the GFS framework’s influence.

This study affirms a statistically significant positive influence of the GFS framework on escalating green investment levels in polluting firms. Robust sensitivity analyses, encompassing parallel trend assessment, entropy balancing test, and alternative proxies, corroborate these findings. A mediation analysis identifies the implementation of an environmental management system as the potential underlying mechanism. A cross-sectional analysis identifies high financial slack, high profitability, mandatory CSR regulations, and marketization level as the influencing factors.

The study’s findings have critical implications for policymakers, regulators, and companies. Demonstrating the effectiveness of the GFS framework in driving green investment underscores the importance of aligning financial systems with sustainability goals.

This study contributes novel empirical evidence on the positive effect of China’s GFS framework on corporate green development. The quasinatural experiment design, coupled with comprehensive sensitivity analyses, strengthens the robustness of the findings.

The social dimension of sustainable development has garnered increasing attention. As universities embrace their social responsibility and consider the interests of various stakeholders, the potential issue of social washing has emerged as a critical topic. This study aims to investigate the presence of social washing in university sustainability reports.

The study examines three key stakeholder elements: full-time faculty salaries, weekly teaching hours for full-time faculty and hourly wages for part-time faculty. A content analysis was conducted on the 2022 sustainability reports published by all private universities registered in Taiwan.

Results indicate that only 30% of private universities published independent sustainability reports for 2022, and of those, only 62.5% adhered to global reporting initiative guidelines. The study raises concerns about selective disclosure and the concealment of negative information, suggesting the possibility of social washing. This investigation offers an overview of social washing in the sustainability reports of higher education institutions, thereby contributing to the academic discourse on comprehensive and transparent communication with stakeholders.

Universities should take into account the interests of stakeholders and embrace greater social responsibility in their sustainability initiatives. This study analyzes the content of university sustainability reports and encourages higher education institutions to foster balanced communication with their stakeholders.

Social washing is difficult to detect. This study uses objective indicators to assist higher education institutions in identifying potential social washing behaviors and provides guidance for universities to avoid misleading communication in their sustainability reports.

With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to succeed. Essentially, AI e-marketing (AIeMktg) is the use of AI technological approaches in e-marketing by blending customer data, and Retail 4.0 is the digitisation of the physical shopping experience. Therefore, in the era of Retail 4.0, this study investigates the factors influencing the use of AIeMktg for transforming CE.

The primary data were collected from 305 e-retailer customers, and the analysis was performed using a quantitative methodology.

The results reveal that AIeMktg has tremendous applications in Retail 4.0 for CE. First, it enables marketers to swiftly and responsibly use data to anticipate and predict customer demands and to provide relevant personalised messages and offers with location-based e-marketing. Second, through a continuous feedback loop, AIeMktg improves offerings by analysing and incorporating insights from a 360-degree view of CE.

The main contribution of this study is to provide theoretical underpinnings of CE, AIeMktg, factors influencing the use of AIeMktg, and customer commitment in the era of Retail 4.0. Subsequently, it builds and validates structural relationships among such theoretical underpinning variables in transforming CE with AIeMktg, which is important for customers to expect a different type of shopping experience across digital channels.