Lorena G. Barberia, Gilmar Masiero, Iana Alves de Lima, Luciana Santana and Tatiane C. Moraes de Sousa
Governments faced formidable challenges in coordinating public health responses to the COVID-19 pandemic. This study aims to enhance the understanding of effective organizational…
Abstract
Purpose
Governments faced formidable challenges in coordinating public health responses to the COVID-19 pandemic. This study aims to enhance the understanding of effective organizational leadership during crises by investigating the factors influencing the turnover of health leaders during the COVID-19 pandemic in Brazil.
Design/methodology/approach
Using primary data encompassing all appointments and dismissals of federal and state health secretaries, this paper conducted a quantitative analysis of the relational and reputational factors that contributed to leader turnover during the COVID-19 pandemic. This paper also examined whether leaders’ management and public health experience increase the duration of tenure.
Findings
States encountered significant challenges in retaining experienced and effective leadership during the health emergency, primarily due to political conflicts in policymaking and, to a lesser extent, allegations of corruption. Furthermore, leaders with expertise in public health were found to be less likely to be removed from office. However, managerial experience did not prolong the tenure of state health secretaries during the emergency.
Research limitations/implications
Since most health leaders have public health and management experience, the contributions of each factor to the duration of a secretary’s tenure are difficult to separate and analyze separately.
Practical implications
This study provides empirical insights into what factors drive health leader turnover during major health emergencies.
Social implications
During major health emergencies, health leaders often strongly disagree with elected officials on the response. This paper test how crisis leadership theories help explain state health leaders’ duration in one of the world’s largest public health systems during the COVID-19 pandemic. This paper find that policy disagreements contributed to significant turnover.
Originality/value
To the best of the authors’ knowledge, this paper is the first that are aware of that uses novel primary data on public health executive leader characteristics and turnover causes in the context of the COVID-19 pandemic. It provides empirical evidence contributing to the crisis leadership literature by examining health leader turnover in one of the world’s largest public health systems.
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Tatiane Pellin Cislaghi, Douglas Wegner, Luciana Marques Vieira and Gabriela Zanandrea
This paper aims to analyze the influence of governance mechanisms in the generation of relational rents for supplier in short food supply chains (SFSCs).
Abstract
Purpose
This paper aims to analyze the influence of governance mechanisms in the generation of relational rents for supplier in short food supply chains (SFSCs).
Design/methodology/approach
This study used data from a survey of 181 organic producers in SFSCs, using partial least squares structural equation modeling (PLS-SEM) with the aid of the SmartPLS® 3 software for the analysis.
Findings
The results show the relationship between formal and informal governance mechanisms and relational rents. The predominance of informal mechanisms enabled a higher explanatory power than that provided by formal governance mechanisms. Further, the authors found that the complementary use of governance mechanisms has a stronger impact on generating relational rents. However, contextual factors such as relationship time, power asymmetry and uncertainty in demand have not shown any influence on governance mechanisms for generating relational rents.
Originality/value
The result sheds new light on the relevance of governance mechanisms to foster relational rents to suppliers in SFSCs. It also shows that contextual factors that affect relationships in traditional supply chains do not play a relevant role in SFSCs due to their specific characteristics.
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Fernando Henrique Taques and Thyago Celso Cavalcante Nepomuceno
Empirical literature is the primary source of understanding how policing can effectively reduce criminal activities. Spatial analyses can identify particular effects that can…
Abstract
Purpose
Empirical literature is the primary source of understanding how policing can effectively reduce criminal activities. Spatial analyses can identify particular effects that can explain and assist in constructing appropriate regional strategies and policies; nevertheless, studies that use spatial regression methods are more limited and can provide a perspective on specific effects in a more disaggregated regional context.
Design/methodology/approach
This research aims to conduct a systematic literature review (SLR) to understand the relationship between crime indicators and police production using spatial regression models. We consider a combination of Kitchenham and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols as a methodological strategy in five bibliographic databases for collecting scientific articles.
Findings
The SLR suggests a limited amount of evidence that meets the criteria defined in the research strategy. Several particularities are observed regarding police and criminal production metrics, either in terms of aggregation level, indicator transformations or scope of analysis. A broader time perspective did not necessarily indicate statistical significance compared to models with a single-period sample.
Practical implications
The findings suggest the possibility of expanding efforts by the public sector to provide policing data with the intention of conducting appropriate research using spatial analysis. This step could allow for a more robust integration between the public sector and researchers, strengthening policing strategies, evaluating the effectiveness of public security policies and assisting in the development of strategies for future policy actions.
Originality/value
Limited empirical evidence meets the criteria of spatial regression models with temporal components considering police production and criminality indicators. Constructing an SLR with this scope is an unprecedented contribution to the literature. The discussion can enhance the understanding of approaches for studying the relationship between police efforts and crime prevention.