Evidence map›Paper›PMID 36674078›Full record

ArticleInternational journal of environmental research and public health2023

The Effect of Servant Leadership on Work Resilience: Evidence from the Hospitality Industry during the COVID-19 Period.

Zhenyao Cai, Yimin Mao, Ting Gong, Ying Xin, Jiayun Lou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhenyao CaiSILC Business School, Shanghai University, 20 Chengzhong Road, Shanghai 201800, China.
Yimin MaoSILC Business School, Shanghai University, 20 Chengzhong Road, Shanghai 201800, China.
Ting GongSILC Business School, Shanghai University, 20 Chengzhong Road, Shanghai 201800, China.ORCID 0000-0002-4799-3893
Ying XinSILC Business School, Shanghai University, 20 Chengzhong Road, Shanghai 201800, China.
Jiayun LouSILC Business School, Shanghai University, 20 Chengzhong Road, Shanghai 201800, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic is a tremendous crisis for public health, which also has a profound impact on business and social activities because many countries restrict travel and social gatherings to avoid the spread of COVID-19. Workers suffer from mental health problems including depression and anxiety due to the uncertain work environment. Hence, psychological resilience, a positive psychological response to these challenges, is essential to the success of employees and companies. Drawing on the conservation of resources theory (COR), this paper investigates how the leadership style (i.e., servant leadership) enhances the work resilience of hospitality employees through two time-lagged empirical studies. Specifically, study 1 demonstrates a positive relationship between servant leadership and employees' work resilience. Study 2 replicates study 1's result and further demonstrates that emotional exhaustion mediates the relationship between servant leadership and employees' work resilience. Furthermore, study 2 finds a significant moderating effect of job complexity. The findings of this paper provide empirical evidence for practitioners to manage employees' resilience and psychological resources.

Indexed as

COVID-19LeadershipEmotionsHumansPandemicsSocial Behaviorconservation of resources theoryemotional exhaustionservant leadershipstate resiliencework complexity

Identifiers

PMID36674078
PMCPMC9858640

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.