ORCID Profile
0000-0001-9435-6734
Current Organisation
University of Southampton
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Publisher: Springer Science and Business Media LLC
Date: 06-04-2022
Publisher: Springer Science and Business Media LLC
Date: 07-08-2017
Publisher: SAGE Publications
Date: 18-01-2019
Abstract: Studies on abusive supervision have adopted justice and resource perspectives to explain its effects on employee organizational citizenship behavior (OCB) and counterproductive work behavior (CWB). However, these studies have not provided a comprehensive account of why abusive supervision affects OCB and CWB and which of these two mediating mechanisms matters more. To address these questions, we conducted two studies using meta-analytic structural equation modeling. In the main study, we analyzed 427 primary studies that incorporated 973 independent correlations ( N = 336,236). The results showed that both organizational justice (the justice lens) and work stress (the resource lens) mediated the influence of abusive supervision on OCB and CWB. Furthermore, organizational justice accounted for a greater proportion of abusive supervision’s effect on OCB than did work stress, whereas work stress accounted for a greater proportion of abusive supervision’s effect on CWB than did organizational justice. Finally, between-study moderation analyses showed that the effect of abusive supervision on CWB was stronger in masculine cultures than in feminine cultures. The supplementary study incorporated effect sizes from six existing meta-analyses ( N = 151,381) and largely replicated the main study’s findings.
Publisher: Oxford University Press (OUP)
Date: 17-01-2013
Abstract: China significantly opened its healthcare market through a series of market-opening policies in 2000-1. This study aims to explore the direct consequences of these policies-the growth of private hospitals, their workforce characteristics compared with public hospitals in China and the source of their healthcare workforce. First, we performed a segmented regression analysis of a longitudinal data series of the number of hospitals in China between 1990 and 2009 to examine the before and after effects of the market-opening policy on private hospitals. Then, to highlight the workforce differences between private and public hospitals, provincial survey data collected in 2009 were compared with data from a second database collected in 2002 to detect the mobility of medical staff from the public to the private hospitals. The number of private hospitals rapidly increased after 2001, and the yearly growth rate increased from 19 to 205, represented primarily by an increase in specialty hospitals. Approximately 22.03% of the physicians in private hospitals are over the age of 60, whereas this proportion in public hospitals is only 2.97%. In 2008, at least 4.1% of the staff working in private hospitals had previously worked in local public hospitals in 2001. The broad expansion of private hospitals since 2001 is most likely the result of an unbiased market policy environment for private hospitals. Moreover, specific features of the hospital-physician relationship in China may account for the unbalanced age distribution feature among doctors and the mobility of the healthcare workforce in private hospitals.
Publisher: Elsevier BV
Date: 07-2021
Publisher: Springer Science and Business Media LLC
Date: 25-04-2015
Publisher: Oxford University Press (OUP)
Date: 05-07-2022
DOI: 10.1093/PNASNEXUS/PGAC093
Abstract: At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—in iduals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar was found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-negligible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.
Publisher: Springer Science and Business Media LLC
Date: 12-05-2021
Publisher: American Psychological Association (APA)
Date: 09-2020
DOI: 10.1037/APL0000475
Abstract: This article proposes a new approach to modeling the antecedents of incongruence between 2 dependent variables. In this approach, incongruence is decomposed into 2 orthogonal components representing directional and nondirectional difference (DNDD). Nondirectional difference is further ided into components representing shared and unique variability. We review previous approaches to modeling antecedents of difference, including the use of arithmetic, absolute, and squared differences, as well as the approaches of Edwards (1995) and Cheung (2009). Based on 2 studies, we demonstrate the advantages of DNDD approach compared with other methods. In the first study, we use a Monte Carlo simulation to demonstrate the circumstances under which each type of difference arises, and we compare the insights revealed by each approach. In the second study, we provide an illustrative ex le of DNDD approach using a field dataset. In the discussion, we review the strengths and limitations of our approach and propose several practical applications. Our article proposes 2 extensions to the basic DNDD approach, including modeling difference with a known target or "true" value, and using multilevel analysis to model nondirectional difference with exchangeable ratings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Publisher: Center for Open Science
Date: 18-05-2022
Abstract: The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behavior change. To help scholars better understand the social and moral psychology behind public health behavior, we present a dataset comprising of 51,404 in iduals from 69 countries. This dataset was collected for the International Collaboration on Social Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of in idual differences and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours identity and social attitudes ideology health and well-being moral beliefs and motivation personality traits and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables.
Publisher: Springer Science and Business Media LLC
Date: 26-01-2022
DOI: 10.1038/S41467-021-27668-9
Abstract: Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national s les. Study 2 ( N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic ( r = −0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics.
Publisher: Informa UK Limited
Date: 26-10-2015
Publisher: Elsevier BV
Date: 08-2017
Publisher: Emerald
Date: 18-03-2019
Abstract: The purpose of this paper is to draw on social capital theory to develop a model to explain the determinants of a supply chain management scholar’s academic research impact. Drawing from a database of 450 supply chain management scholars in different countries collected from ResearchGate and the World Bank, the bootstrapping method was applied on the moderated mediation analysis. Analysis of the mediating role of a scholar’s social capital suggests that social capital theory has a strong explanatory power on the relationship between a scholar’s research skill and academic impact. To account for the boundary effect at the country-level, the authors further examine if this mechanism differs by country in the supply chain management research context. The findings from this study are from a single research area, which limits the generalizability of the study. Although the data are collected from different sources, including ResearchGate and the World Bank, it is cross-sectional in nature. The variables in this model do not have strong causal relationships. The results suggest that supply chain management scholars can reap the benefits of their social capital. Specifically, scholars can enhance their academic impact by increasing their social capital. The results provide a reference for supply chain management scholars keen on enhancing their academic research impact. It also provides a reference to explain why country-level differences can influence these scholars.
Publisher: Elsevier BV
Date: 12-2021
Publisher: Informa UK Limited
Date: 28-06-2023
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Yucheng Zhang.