| Literature DB >> 35516092 |
Robin Bauwens1, Saša Batistič1, Steven Kilroy1, Sanne Nijs1.
Abstract
The COVID-19 pandemic has resulted in unprecedented challenges for society. The effects on organizations have been drastic and such tough times have demanded new organizational solutions as well as strong and new forms of organizational leadership. Leadership scholars have accelerated their research efforts in the quest to identify what is needed to lead in these uncertain times. In this paper, we adopt a bibliometric review to unravel the emerging trends in leadership research in the wake of the COVID-19 pandemic, and in doing so, identify commonalities and divergences in these themes with respect to leadership approaches and assess potential avenues for future research. The findings reveal that research on the topic has emerged along six main clusters: (1) leadership and employee health during pandemic times, (2) public leadership, (3) leadership in health care, (4) leadership and diversity, (5) educational leadership, and (6) leadership and persuasive communication. The findings reveal that across these clusters, the pandemic has sparked research on leadership approaches that deal with change and uncertainty as well as those that are less hierarchical and person centered in nature. We also notice a novel attention to context. Rather than "new kids on the block," these trends are largely continuations of established leadership theories and approaches that see their particular importance increase in this unprecedented situation. Finally, we outline some distinct avenues for further research with regard to leadership in COVID-19 times.Entities:
Keywords: COVID-19; bibliometric review; corona; leadership; science mapping
Year: 2022 PMID: 35516092 PMCID: PMC8990571 DOI: 10.1177/1548051821997406
Source DB: PubMed Journal: J Leadersh Organ Stud ISSN: 1548-0518
Figure 1.Co-word network. (Larger circles and text represent more-important keywords. The lines between the circles of keywords show that the two keywords co-occurred together. The larger the number of publications in which two terms co-occur, the stronger their relation to each other.)
Specific Keywords Within Each Cluster.
| Keyword | Occurrences | Weight | |
|---|---|---|---|
|
| Anxiety | 5 | 10 |
| Behavior | 4 | 19 | |
| Burnout | 7 | 22 | |
| Covid-19 pandemic | 10 | 13 | |
| Health care | 7 | 19 | |
| Influenza | 4 | 11 | |
| Lessons | 4 | 16 | |
| Mental health | 4 | 6 | |
| Nurses | 5 | 9 | |
| Quality | 4 | 10 | |
| Risk | 7 | 19 | |
| SARS | 5 | 16 | |
| Stress | 9 | 32 | |
| Support | 4 | 6 | |
| Work | 6 | 21 | |
|
| Care | 12 | 33 |
| Climate change | 5 | 4 | |
| Covid-19 | 170 | 295 | |
| Crisis management | 12 | 29 | |
| Governance | 8 | 26 | |
| Impact | 4 | 6 | |
| Pandemics | 11 | 28 | |
| Performance | 9 | 25 | |
| Public leadership | 6 | 15 | |
| Resilience | 7 | 9 | |
| Satisfaction | 5 | 14 | |
| Trust | 4 | 8 | |
|
| Advocacy | 4 | 13 |
| Global health | 4 | 12 | |
| Health policy | 10 | 18 | |
| Nursing leadership | 5 | 13 | |
| Pandemic | 43 | 103 | |
| Personal protective equipment | 4 | 11 | |
| Public health | 14 | 33 | |
| Public policy | 4 | 16 | |
| SARS-CoV-2 | 9 | 23 | |
| Sector | 4 | 10 | |
| Surgery | 5 | 7 | |
|
| China | 11 | 27 |
| Coronavirus | 28 | 70 | |
| Culture | 4 | 14 | |
| Diversity | 5 | 14 | |
| Empathy | 4 | 14 | |
| Gender | 11 | 23 | |
| Health | 8 | 19 | |
| Model | 5 | 17 | |
| New Zealand | 4 | 7 | |
| Policy | 7 | 13 | |
| Social distancing | 4 | 5 | |
|
| Challenges | 4 | 8 |
| Crisis | 13 | 44 | |
| Education | 10 | 23 | |
| Higher education | 5 | 10 | |
| Leadership | 73 | 159 | |
| Students | 4 | 10 | |
| Survey | 5 | 8 | |
|
| Communication | 10 | 32 |
| Experience | 4 | 10 | |
| Management | 21 | 65 | |
| Perceptions | 5 | 8 |
Note. The weight column shows the total strength of the links of a word with other words. In this case, the weight indicates the total strength of the co-occurrence links of a given word with other words. In general, the higher the weight, the more important a word is to the network.