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Climate change has had serious consequences at the global and local levels, which has required more effective scientific studies and management measures for disaster risk reduction strategies. This paper aims to analyze and discuss the degree of institutional vulnerability in terms of disaster risk governance, with emphasis on non-structural measures taken in the municipality of Jaboatão dos Guararapes, Pernambuco, Brazil.

Five indicators were analyzed, composed of Planning and Management Instrument, Management Structure, Preventive Action, Multidisciplinary Work and Emergency Funds. It is worth highlighting the form application with government actors, involving technicians from strategic areas of the municipality and official reports analysis. It stands out the importance of non-structural measures to strengthen this governance.

From the results of this study was noted that municipal management adopted measures to develop integrated planning, acting within the principles recommended in the Sendai framework (2015–2030), characterized as a medium degree of institutional vulnerability. Recommendations are suggested for the improvement of the entire governance system, according to the indicators and documents analyzed.

This article integrates a set of data and analyses relevant to the Disaster Risk Governance, regarding the assessment of institutional vulnerability with a view to non-structural actions. The importance and significance of the composed indicators allow measuring and evaluating institutional vulnerabilities. The methodology created fomented the production of scientific knowledge that allows employment in other municipalities.

The study compares how distinct mechanisms that connect pre-established policy objectives to professionals' practices, and the health policy implementation context influenced different approaches to frontline staff participation. The authors analysed 26 teams in six cities from two Brazilian states, during the last cycle of the National Program for Improving Access and Quality of Primary Care (PMAQ).

About 172 in-depth interviews were conducted with frontliners – community health workers (78), nurses (37), doctors (30) – and managers (27). Interview guides were based on key issues identified in the implementation and pay-for-performance (P4P) literature. Drawing on thematic analysis and synthesis of the literature, three types of participation mechanisms were identified: relational, motivational and incremental learning. They were analysed considering distinct contexts at the local level to understand how they influenced different forms of participation: mere adherence, result-oriented and transformative.

Administrations with stronger institutional organizational structures were able to control work processes and reduce professional discretion. However, sustained participation was more likely where there was greater integration between management and frontline health care teams. Motivation based only on financial incentives could not bring about transformative participation. This depended on the degree of professional's ideational motivation towards primary care. Finally, contexts with unfavourable working conditions tend to demotivate professionals, but incremental learning helps teams cope with these obstacles.

The study overcomes gaps in the literature in relation to PMAQ's implementation process. Overall, the study delves into which/how mechanisms alter frontliners participation in performance-oriented health programs.

The implementation of quality in health services should go beyond legal, regulatory and purely technical obligations in relation to carrying out health insurance practices. The purpose of this paper is to present a management model that intends to equip private health care companies in favor of quality development from the use of a model for forming a competitive strategy in the supplementary health sector companies.

In this approach the proposed model is grounded on guiding procedures for the process of strategy formulation, with a systemic structure that separates in analysis involving the internal and external environment to the organization to verify the strategy that best applies. It is based on prescriptive strategy – the five competitive forces and, with adaptive strategy, the competition arenas.

Through the proposed model the analytical mechanisms of political-legal environments surrounding companies in the sector can be described, identify organizations and their process performance, study them, and perform comparative analysis of information between them. All of this development seeks to ensure the formation of policies, to guide strategic action in health insurance.

This work strongly contributes to the foundation and strengthening of strategic knowledge and has quality aimed at the study of the private health care market, due to the high degree of regulatory requirements by the state to the businesses, the environment turns into a chain of complex information that migrates from the condition of just meeting legal requirements, to also satisfying the demands of a hypercompetitive market.

The purpose of this paper is to establish and evaluate the concrete loss and labor productivity (LP) indicators in the concreting step of aluminum formwork system (AFS) in construction in Brazil. The loss and productivity indicators are directed to a regional database (Pernambuco, Brazil).

Case study was selected as the most appropriate approach. The methodology included data collection in the construction project with 10 residential towers of 320 apartments, in the city of Jaboatão dos Guararapes, Brazil, throughout 82 concrete pouring days using 415 concrete mixer trucks, with a total of 2,582.50 m³ of concrete.

The findings identified an average concrete loss of 2.6 percent and the LP indicator varying between 0.15 and 0.97 WH/m³. It could be verified that the loss indicators were influenced mainly by the learning effect associated to the qualification of the labor. In addition, the productivity indicators were strongly influenced by delays at the beginning of the concrete pouring and by problems coming from the sequence of concrete supply.

LP indicators are still literature restricted, especially considering only the concreting step. The direct observations of this study allow the identification of factors that inhibit productivity. The comparison of indicators for the concreting service between the ASF and the conventional system attests to the speed, low cost and efficiency of the system studied in this paper.

This paper aims to identify and measure the impact of the types of innovation on micro and small enterprises’ performance in the foodservice industry.

A sample of 55 micro and small enterprises located in the Recife Metropolitan Area in Pernambuco were considered for the purpose of the analysis. All the firms were registered in the Agente Local de Inovação (ALI) program during the period of 2015 and 2016. The innovations developed by the firms were identified and measured using the sectorial innovation index, and the firm’s performance was calculated by the annual revenue. The impact of the innovations on performance was measured using multiple linear regression and quantile regression.

The regressions’ findings suggest that two innovation dimensions stand out concerning firm performance, that is, brand and customer experience are thought as to contribute to firm performance significantly. However, it has also been found that the contribution of the innovations may vary in the level of firm performance.

The paper was distinguished by analyzing the relationship between innovation and firm performance in the context of micro and small enterprises. The research also allowed knowing the innovations that can contribute to the micro and small enterprises’ performance, allowing such organizations to identify and develop the innovations seen as necessary for their competitiveness.

In order to offer a theoretical and empirical contribution to the theme, the purpose of this paper is to assess the tourist image of the destination Balneário Camboriú, Santa Catarina, Brazil, from the tourists’ perspective. The authors specify the latent dimensions involved in the formation of the cognitive, affective, and conative image of coastal tourism destination, through which the authors can analyze and measure the construct.

The research is exploratory, descriptive, and predominantly quantitative. It uses non-probability convenience sampling, consisting of a sample of 425 tourists. Data collection were conducted in the studied destination during the summer season – 2015/2016.

Through exploratory and confirmatory factor analysis, the authors identified and tested the factors that comprise the image. Structural equation model evaluated the relationship that theoretically exists between the components of the image and the weight of the various components (cognitive, affective, and conative) on the overall image of the destination.

This research contributes theoretically and empirically to the discussions on the components of the destination image, in as much as it analyzes and interprets the cognitive, affective, and conative components of the image of the tourism destination Balneário Camboriú, Santa Catarina, Brazil.

This paper aims to shed some light on the distribution of population, living in disaster risk areas in Brazil, on the intra-urban scale. The following three aspects are evaluated in this paper: the distribution of exposed population according to municipal size classification; the population density in disaster risk areas; and the municipal human development classification for the municipalities with disaster risk areas.

This research is based on an explorative approach. The main database used is a result of the association of landslide and flood risk areas to demographic census, available for 825 Brazilian municipalities. Additional databases were integrated to characterize disaster risk management and municipal human development.

The results revealed that the population exposed to disaster areas is concentrated within the capitals and small cities in the country. Moreover, disaster risk areas are densely populated even in small cities, suggesting that it is a reality faced not only by the larger cities. Finally, disaster risk areas exist even inside municipalities with a high level of human development.

These findings could contribute to the understanding of the spatialisation of disaster risk in Brazil, a primordial step for the reduction of human losses.

A novel perspective about the Brazilian population exposed to disaster risk was obtained, revealing a current issue faced by the municipalities independent of the size classification and level of human development.

The recent increase in the number of infections and mortality rates in many regions has emphasized the cyclical nature of this pandemic, with new variants emerging constantly. Understanding what has been done by efficient administrations to contain the outbreak is essential while new immunization developments for the new variants are not available.

This work adapts the traditional Banker, Charnes and Cooper (BCC) Variable Returns to Scale model for including panel data on the Brazilian Federal Government spending over the first pandemic months in Pernambuco to identify efficient municipalities and conduct a benchmark on the best practices, reactions and implications that can serve as a guide for the post-Covid recurrence era.

The results provide an interesting panorama of municipal response to the pandemic and some quantitative and qualitative prospects on potentials for improvements from the perspective of efficient and inefficient cities. Only one administration (São Bento do Una) was identified as efficient for the entire period. The authors’ benchmark and discussion are focused on this municipality.

The authors believe this work has two innovative components. The first is a robust and systematic methodology integrating the advances in testing convexity and returns to scale in the construction of a production frontier based on panel data. The second is a discussion on what drives efficiency (benchmarking of best practices) in addition to how to quantitatively attain such efficiency prospects. To the best of the authors’ knowledge, both methodological and empirical implications are original to the present manuscript.

Climate hazards in the form of cyclones are projected to become more intense under the pressures of future climate change. These changes represent a growing hazard to low lying coastal cities like Beira, Mozambique. In 2019, Beira experienced the devastating impact of Cyclone Idai. One of the many impacts resulting from this Cyclone was disrupted drinking water access. This investigation explores the distribution of Cyclone Idai’s impact on drinking water access via an environmental justice lens, exploring how preexisting water access characteristics may have predisposed households to the impacts of Cyclone Idai in Beria.

Relying on household survey data collected in Beira, the investigation applied a decision tree algorithm to investigate how drinking water disruption was distributed across the household survey sample using these preexisting vulnerabilities.

The investigation found that households that mainly relied upon piped water sources and experienced inconsistent access to water in the year prior to Cyclone Idai were more likely to experience disrupted drinking water access immediately after Cyclone Idai. The results indicate that residents in formal areas of Beira, largely reliant upon piped water supply, experienced higher rates of disrupted drinking water access following Cyclone Idai.

These findings question a commonly held assumption that informal areas are more vulnerable to climate hazards, like cyclones, than formal areas of a city. The findings support the inclusion of informal settlements in the design of climate change adaptation strategies.