The Impact of COVID-19 Pandemic on Corporate Social Responsibility and Job Embeddedness in China.

This article aims to investigate the impact of employee perceptions of corporate social responsibility (CSR) on job embeddedness under the drastic circumstances of coronavirus disease 2019 (COVID-19). This study also investigated the role of organizational identification as a psychological mechanism linking employee perceptions of corporate social responsibility (CSR) to job embeddedness. Survey data were collected from 325 employees in banking industry of China and analyzed using partial least squares structural equation modeling (PLS-SEM). Results revealed that CSR to employees and organizational identification were positively and significantly related to job embeddedness, while CSR to customers, CSR to government, and CSR to society did not significantly predict job embeddedness. Organizational identification fully mediated the relationship between CSR to customers, CSR to government, CSR to society and job embeddedness, and partially mediated the relationship between CSR to employees and job embeddedness. The results suggest engaging in CSR activities can lead employees to identify themselves with the organization and enhance their embeddedness. The article concludes with several implications for practice and recommendations for future research.

Profiling adopters (and non-adopters) of a contact tracing mobile application: Insights from Australia.

OBJECTIVE: Many governments are using contact tracing mobile applications (CTMAs) yet public adoption of such systems has been relatively low. The main objective of this paper is to profile adopters (and non-adopters) of Australia's COVIDSafe CTMA. MATERIALS AND METHODS: We use latent profile analysis to examine predictors of CTMA download behaviour. Specifically, we draw on a representative Australian sample (N = 2575) to examine the interplay between age, education, income, dispositional desire for privacy and political ideology on download behaviour. We examine trust in government as a mediating mechanism between profiles and download behaviour. RESULTS: Our analysis produces seven profiles. Trust in government mediates the relationship between most profiles and download behaviour. A combination of wealth and education appear to be key explanatory factors of CTMA download behaviour. Two profiles -- comprising individuals with high income and education -- had the highest rates of download behaviour. Profiles with low download percentages comprised politically left-leaning participants with average to low income and education. CONCLUSION: Our findings clearly indicate the profiles of people who are (not) likely to download a CTMA. Practical ways to improve widespread adoption include providing structural support to the more vulnerable members of society, making clear the societal benefits of downloading CTMAs, and engaging in bipartisan promotion of such apps.