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The purpose of this study is to propose and test an integrated model to explain how trust is built in sharing economy (SE) transactions.

Initially, prior literature was systematically selected and synthesized to develop a comprehensive framework applicable to multiple trust-building perspectives and categories of SE platforms. Then, a survey was conducted to validate the constructs and test the model with Airbnb guests. A sample of 351 responses was collected and analyzed using structural equation modeling.

The results indicate that the cues an individual assesses to infer their counterpart’s trustworthiness and the reasons the individual has for engaging in the SE transaction can explain a large variance in their trust in the counterpart. In addition, the individual’s propensity to trust moderates this relationship.

The proposed model can help identify the most effective trust-building mechanisms. It can be taken as a common knowledge base for scholars to compare the four trust-building perspectives and different categories of SE platforms, as well as to investigate the subject over time and across cultures.

This research can also help practitioners understand the complexity of building trust and design platform features to do so.

A unified model clarifies trust in the SE, aiding platform growth and community bonding. This insight guides platforms in feature enhancement and policymakers in drafting balanced regulations.

To the best of the authors’ knowledge, for the first time, there is a comprehensive and parsimonious model applicable to the four trust-building perspectives and different categories of SE platforms.

Genetic knowledge is advancing steadily while at the same time DNA sequencing prices are dropping fast, but the diffusion of genetic services (GS) has been slow. The purpose of this paper is to identify GS diffusion drivers in the precision medicine (PM) ecosystem.

After reviewing the literature on innovation diffusion, particularly on GS diffusion, the PM ecosystem actors are interviewed to obtain their perspective. Using content analysis, the interviewees’ visions were interplayed with the literature to achieve driver conceptualization, which posteriorly originated broad themes.

The results indicate that GS diffusion depends on satisfying aspects from three broad themes and respective drivers: technology (evidence strength and credibility, customization, knowledge, data and information, tech evolution speed and cost), human (ethics, privacy and security and user power) and business (prevention, holistic view of the individual, public policy and regulation, business model and management).

The main management implications refer to considering health care in a multidisciplinary way, investing in the propagation of genetic knowledge, standardizing medical records and interpreting data.

This study, to the best of authors’ knowledge, is the first attempt to understand GS diffusion from a broad perspective, taking into account the PM stakeholders’ view. The 13 drivers offer a comprehensive understanding of how GS could spread in health care and they can assist researchers and practitioners to discuss and set strategies based on an initial structured map.

The native species from western Mato Grosso do Sul provide fruits with unique sensory characteristics and high nutrient concentrations. Tropical fruit consumption is increasing due to the growing recognition of the nutritional value. These fruits play important roles through the marketing of their products and nutritionally through their consumption. All fruits are edible and are used in the food industry and well sensory accepted. The purpose of this paper is to verify the physicochemical characteristics, bioactive compounds and antioxidant activity in fruits collected in the Cerrado and Pantanal biomes from western Mato Grosso do Sul.

The fruits of baru, bocaiuva, jatobá, jenipapo and pequi were collected. To characterize them, longitudinal diameter, transverse diameter, total soluble solids, acidity, pH, ascorbic acid, total phenolics, antioxidant capacity, total sugar, glucose and macro and micronutrient contents analysis were performed in triplicate.

Jatobá presented the highest values of vitamin C. For phenolics, baru and jatobá stood out; bocaiuva presented the highest results for sugars, while jatobá was superior for glucose. The fruits with the highest antioxidant capacity, DPPH, were pequi and baru, while via ABTS the jatobá was the highest. Baru presented higher levels of nitrogen, phosphorus, magnesium, copper, zinc and iron. The bocaiuva presented the highest results for potassium and sulfur, the jatobá calcium and manganese. Jenipapo stood out with its boron content. Magnesium presented superior results in the baru, jenipapo and bocaiuva. The results reinforce the diversity of physicochemical characteristics.

The increase of the flow of available information, together with the growth of multicultural influences, the search for wholesome diet and the diversity of flavors and colors make these fruits important regional development tools. Their characteristics encompass national and international exploration potential that arouse consumer interest and contribute to the pursuit of innovations. In addition, the native species mentioned above provide fruits with unique sensory characteristics. Their consumption is increasing in the markets due to the growing recognition of their nutritional value. Therefore, these fruits play important roles, economically, through the marketing of their products and nutritionally through their consumption.

This research aims to identify Brazil's socioeconomic vulnerability to wicked multi-problems arising from coronavirus disease 2019 (COVID-19) (2019–2020), from the most extensive (∼ 3,000 km) oil spill in tropical oceans (2019/2020) and from the highest rate of wildfires in the last decade.

To this end, the authors measured the socioeconomic vulnerabilities of the 27 Brazilian states to these multi-problems (COVID-19 + Oil Spill + wildFire), considering the effects of these events individually and together. In addition, the authors calculated the vulnerability indices using two variables: production value and number of jobs created by an economic activity.

Results show the states of São Paulo, Minas Gerais, and Rio de Janeiro as the most susceptible, with a potential loss of 74.2% in production value and 47% in active employment relationships, caused by these overlapping events in time. The results also demonstrate that the country has failed in the coordination and management of these events (separately and jointly), showing difficulties especially in the stages of immediate response and recovery.

Regarding its contributions, this paper innovates by establishing an unprecedented overlap of wicked problems, linking this concept to the analysis of socioeconomic vulnerability of the affected communities, through a model that applies to other regions worldwide.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2021-0536

The objective of this chapter is to describe and analyze Brazil's main steps in its long and incomplete process of organizing a professional and responsive public service. During the twentieth century, Brazil had two authoritarian regimes and organized a state-oriented process of industrialization. After 1988, democracy has changed how public administration should be constituted, imposing demands for universal recruitment and accountability. The level of professionalization of the federal public service was improved, with a higher level of education, better wages and the recruitment of public servants to management positions. The challenges ahead are improving governance and executive coordination and raising the responsiveness and quality of public management (such as human resources, planning, budgeting, procurement, information and communication technologies, and organizational modeling) in a context of political instability, slow economic recovery, and substantial public debts at the federal government.

This study examines the factors which affect the adoption of corporate social responsibility (CSR) disclosure practices in line with Global Reporting Initiative (GRI) guidelines in Brazil's banking industry.

The analysis comprised the deposits (demand and savings), fee income, employee expenses, regulatory capital (Basel ratio) and ownership structure of all Brazilian banks from 2006 to 2017. The sample totalled 1,613 firm-year observations. The authors used three binary regression models (logit, probit and complementary log-log) in order to choose the one that best fits the model proposed. The authors controlled for size, profitability, leverage and liquidity.

The main results show positive relationships between CSR reporting and both savings deposits and fee income. The authors also found that state-owned (foreign private-owned) banks have a positive (negative) relationship with probability of CSR disclosure. A negative relationship was found between CSR disclosure and regulatory capital, indicating that banks are more likely to publish GRI reports as they approach the minimum levels of the Basel ratio.

Some banks may disclose CSR reports which do not adhere to the GRI guidelines; these were not captured in this study.

The estimated model aids understanding of factors influencing CSR disclosure in the banking industry in an emerging economy, which may help bank regulators to adopt new approaches in their supervisory and regulatory roles.

This work is the first to document that both fee income and banks' regulatory capital are related to CSR disclosure. Furthermore, this study investigates the entire banking industry of a Latin American country over the longest and most up-to-date period the authors are aware of.