Yushan Wu

Ms. Yushan Wu

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Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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YWYushan Wu
Yushan Wu
QFQinghua Fu
Qinghua Fu
SASher Akbar
Sher Akbar
SSSarminah Samad
Sarminah Samad
UCUbaldo Comite
Ubaldo Comite
Alina BadulescuAlina Badulescu
Alina Badulescu
Globally, employee burnout (EBO) is a black swan in healthcare management. Previous organizational management literature shows that EBO was often misunderstood by assuming it as a personal issue. However, the new definition by the World Health Organization (WHO) clearly indicates that EBO is an occupational phenomenon that places responsibility on organizations to manage it. Although recent evidence suggests ethical leadership (ELP) style may be important to mitigate EBO, shockingly, such relationships were not tested in healthcare systems, especially in low- and middle-income countries. Filling this knowledge gap in the existing body of knowledge, this study aimed to investigate the ELP–EBO relationship. To explain the underlying mechanism of how ELP reduces EBO, this study included two psychological factors as a mediator and a moderator: altruism (AL) and intrinsic motivation (IM). The data were obtained from hospital employees via a self-administered questionnaire (n = 289, paper-pencil method). A hypothetical framework was designed and tested for empirical validation through structural equation modeling (SEM). Empirical evidence confirmed that ELP reduces the risk of burnout among hospital employees, and AL mediates this relationship. The results also confirmed the conditional indirect role of IM in the above proposed mediated relationship. This study’s outcomes can help hospital administration deal with EBO’s epidemic in an ELP framework. Other, different implications have also been discussed in detail.

31 October 2022 in Sustainability
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Journal Article
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YWYushan Wu
Yushan Wu
Rita Yi Man LiRita Yi Man Li
Rita Yi Man Li
SASher Akbar
Sher Akbar
QFQinghua Fu
Qinghua Fu
SSSarminah Samad
Sarminah Samad
UCUbaldo Comite
Ubaldo Comite
The discussion on employee burnout (BOT) has existed in academic literature for a long time. While BOT was identified as a personal issue, there is a lack of a system approach solution. In this regard, a milestone was achieved in 2019 when the World Health Organization (WHO) introduced a new definition of BOT, recognising it as an occupational phenomenon, thereby placing a greater responsibility on organisational leadership to manage it. Since then, different leadership models have been proposed by scholars to reduce the effect of BOT in an organisation. Humble leadership (HL), as a people-first approach, has recently gained importance in organisational management literature. Studies have indicated that HL significantly influences different employee outcomes. However, research on the significance of HL to mitigate BOT of employees was scarce—similarly, on the underlying mechanisms of how and why. While HL has the potential to reduce BOT in an organisation, little or no research has studied it. Acknowledging these knowledge gaps, the basic aim of this study is to enrich the existing body of knowledge by proposing HL as an effective organisational management strategy to reduce the effect of BOT in the healthcare sector. The study introduces two mediators, work engagement (WREN) and subjective wellbeing (SUBW), to explain the underlying mechanism between HL and BOT. The conditional indirect role of altruism (ALM) was also tested. The data were obtained from hospital employees by employing a survey method (questionnaire, n = 303). Structural equation model (SEM) was considered for testing the hypothesised model to study the interrelationships between variables. The results confirmed that the manifestation of HL in an organisation reduces BOT significantly, and WREN and SUBW mediate this relationship. The study also demonstrates the buffering effect of ALM in the above-proposed relationships. The empirical findings offer multiple contributions in theory and practice, among which the most important one was to realise the profound importance of HL in reducing the effect of BOT in healthcare management.