Purpose: The health service response to COVID-19 provided a unique opportunity to build our understanding of the leadership styles in use in managing a crisis event. Existing literature emphasises command and control leadership; however, there has been less emphasis on relational approaches and the behaviours necessary to ensure the agility of the response and minimise the risk of relational disturbances. The purpose of this paper is to understand leadership styles in use, as part of a health service response to COVID-19.
Design/methodology/approach: This paper draws on data from semi-structured interviews with 27 executives and senior leaders from a tertiary health service in Australia. The data were analysed using thematic analysis. Notes and examples were coded according to deductively derived criteria around leadership styles and competencies from the literature, while remaining open to emergent themes.
Findings: Health system leaders described examples of both command and control and relational leadership behaviours. This dually provided the discipline (command and control) and agility (relational) required of the crisis response. While some leaders experienced discomfort in enacting these dual behaviours, this discomfort related to discordance with leadership preferences rather than conflict between the styles. Both leadership approaches were considered necessary to effectively manage the health system response.
Originality/value: Crisis management literature has typically focused on defining and measuring the effectiveness of behaviours reflective of a command and control leadership response. Very few studies have considered the relational aspects of crisis management, nor the dual approaches of command and control, and relational leadership.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1108/JHOM-07-2021-0263 | DOI Listing |
Environ Geochem Health
January 2025
School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China.
Groundwater arsenic (As), contamination is a significant issue worldwide including China and Pakistan, particularly in canal command areas. In this study, 131 groundwater samples were collected, and three machine learning models [Random Forest (RF), Logistic Regression (LR), and Artificial Neural Network (ANN)] were employed to predict As concentration. Descriptive statistics helped to conclude that all of the samples were inside the permitted limit of WHO for pH, Ca, Mg, Turbidity, Cl, K, Na, SO, NO, F and beyond limit of WHO for EC, HCO, TDS, and As.
View Article and Find Full Text PDFJ Alzheimers Dis
January 2025
Department of Neurology, The Seventh Medical Center of PLA General Hospital, Beijing, China.
Disruption of circadian rest-activity rhythm (RAR) has been found in many neurological disorders. In this study, actigraphic data were collected and analyzed to identify the RAR pattern in the elderly with cerebral small vessel disease. 115 cerebral small vessel disease (CSVD) cases were recruited.
View Article and Find Full Text PDFASSETS
October 2024
Department of Computer Science, Old Dominion University, United States.
Blind individuals, who by necessity depend on screen readers to interact with computers, face considerable challenges in navigating the diverse and complex graphical user interfaces of different computer applications. The heterogeneity of various application interfaces often requires blind users to remember different keyboard combinations and navigation methods to use each application effectively. To alleviate this significant interaction burden imposed by heterogeneous application interfaces, we present Savant, a novel assistive technology powered by large language models (LLMs) that allows blind screen reader users to interact uniformly with any application interface through natural language.
View Article and Find Full Text PDFBiomed Eng Lett
January 2025
Department of Biomedical Engineering, Seoul National University College of Medicine, 103 Daehak-ro, Jongno- gu, Seoul, 03080 Republic of Korea.
Unlabelled: With the advent of robot-assisted surgery, user-friendly technologies have been applied to the da Vinci surgical system (dVSS), and their efficacy has been validated in worldwide surgical fields. However, further improvements are required to the traditional manipulation methods, which cannot control an endoscope and surgical instruments simultaneously. This study proposes a speech recognition control interface (SRCI) for controlling the endoscope via speech commands while manipulating surgical instruments to replace the traditional method.
View Article and Find Full Text PDFColloids Surf B Biointerfaces
January 2025
General Hospital of Northern Theater Command, Liaoning 110016, China. Electronic address:
Epilepsy is a complex neurological disorder characterized by recurrent seizures affecting millions of people worldwide. Despite advances in drug therapy, a significant proportion of patients remain resistant to conventional antiepileptic drugs (AEDs) due to challenges such as impermeability of the blood-brain barrier (BBB), multidrug resistance, and multifaceted epileptogenesis. Nanotechnology offers promising strategies to overcome these barriers by enhancing drug delivery across the BBB, improving target specificity and minimizing systemic side effects.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!