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This study aims to examine the role of edible mushrooms in the Brazilian diet, considering their strategic significance in meeting nutritional goals within sustainable development. Despite their potential in the nutrition of the Brazilian population, significant knowledge gaps still exist. To address this, the authors formulated this study into five main sections: the consumption of edible mushrooms in Brazil, the factors influencing the consumption, the occurrence of edible mushrooms in Brazil, the nutritional contribution of mushrooms consumed in Brazil and sustainable mushroom production in Brazil.

The authors compiled current literature to develop this viewpoint paper using systematic review, systematic search and narrative review search methods.

Mushrooms are sporadically consumed in Brazil, primarily by the urban population, with challenges in estimating the most used species. Social, economic and cultural factors, health considerations and reduced meat consumption influence mushroom consumption behavior. While Pleurotus ostreatus, Lentinula edodes and Agaricus bisporus are primary species, ethnomycological studies highlight a more diverse consumption among traditional indigenous communities. Brazil hosts approximately 133 wild mushroom species safe for human consumption. Some can be sustainably cultivated using substrates derived from agricultural and urban waste, offering high-protein, high-fiber, low-fat foods with bioactive compounds holding antioxidant and prebiotic potential.

To the best of the authors’ knowledge, no previous study has investigated how edible mushrooms contribute to the food and nutrition of the Brazilian population. This study emphasizes the crucial role of edible mushrooms in preserving Brazil’s cultural heritage, contributing to food and nutritional security and enhancing the overall diet quality.

The purpose of this paper is to understand US federal government policy during the early stages of the COVID-19 pandemic and the connections to graduate education. Using the multiple streams framework, the paper outlines these actions through various streams (problems, policy and political) and perspectives (defining problems, articulating options and mobilizing responses).

The primary sources of data collected for this study were US federal government policies from March 2020 through May 2021. Policies were examined through introduction, implementation and alteration (when possible) within the specific time period of the study. The policies outlined in this paper were connected to the US Department of Education, and to a lesser extent, the National Institutes of Health, the National Science Foundation and other federal agencies. Data analysis was a two-fold process. First, the individual policy was considered as a single case and second, a cross-case comparison occurred across the multiple cases.

Analysing the study’s data in the problem stream provides a strong indicator of how the pandemic was perceived as a challenge for US graduate education. The pandemic served as a focusing event and illuminated the connections of graduate education to key institutional functions, including research and teaching. Broadly, US federal policy actions in this area focused on giving institutions resources and flexibility to support graduate students and allow them to continue their academic work while also seeding funding and incentives to continue the movement of knowledge, activities and people in the research pipeline. Actions in the policy stream aligned with the decentralized nature of the US higher education system and allowed for choice by academic institutions within the parameters of options.

This paper extends extant literature related to policy-making and graduate education to consider policy-making during a time of crisis. The paper offers methodological and conceptual ideas for consideration in future research.

This chapter examines the internationalisation of public higher education in Brazil using the theoretical triptych of internationalisation as developed by leading scholars in the field: internationalisation at home (IaH), internationalisation abroad (IA), and internationalisation at a distance (IaD). This framework – while rooted in knowledge, systems, and scholarship from researchers and institutions in the Global North – is a constructive tool for categorising and understanding internationalisation at Brazil’s higher education institutions (HEIs) when coupled with an exploration of the history, context, policy, and dynamics of internationalisation efforts. The chapter then summarises and underscores recent and important scholarship by Brazilian researchers and others in the Global South that describes the history of the nation’s internationalisation efforts. It also critiques the powerful influence that Global North-centred objectives and priorities for internationalisation have on the process at Brazilian HEIs. Following a discussion of the theoretical framework and relevant literature, the chapter provides a case study of internationalisation efforts and initiatives of an elite public university, the Universidade Federal de Minas Gerais (UFMG). Content analysis of UFMG’s website and publicly available reports and data demonstrates a high level of institutional internationalisation that has unfolded in recent years, stimulated by federal funding and guided by a strategic framework developed within the Ministry of Education. An analysis of UFMG’s mission, partnerships and programmes finds that the institution serves as an example of internationalisation in Brazil’s public higher education context, as its programmes and initiatives exemplify the overarching objectives of internationalisation in Brazilian higher education.

This study aims to investigate organizational learning, represented by the absorptive capacity, as a condition for the firm to learn about marketing data and make more informed decisions. The authors also aimed to understand how the behavior of micro, small and medium enterprises (MSME) businesses differ in this scenario through a multilevel perspective.

Placing absorptive capacity as a mediator of the relationship between business analytics and rational marketing decisions, the authors analyzed data from 224 Brazilian retail companies using structural equation modeling estimated with partial least squares. To test the cross-level moderation effect, the authors also performed a multilevel analysis in RStudio.

The authors found a partial mediation of the absorptive capacity in the relation between business analytics and rational marketing decisions. The authors also discovered that, in the MSMEs firms’ group, even if smaller companies find it more difficult to use data, those that do may reap more benefits than larger ones. This is due to the influence of size in how firms handle information.

The sample size, despite having shown to be consistent and valid, is considered small for a multilevel study. This suggests that our multilevel results should be viewed as suggestive, rather than conclusive, and subjected to further validation.

Rather than solely positioning business analytics as a tool for decision support, the authors’ analysis highlights the importance for firms to develop the absorptive capacity to enable ongoing acquisition, exploration and management of knowledge.

MSMEs are of economic and social importance to most countries, especially developing ones. This research aimed to improve understanding of how this group of firms could transform knowledge into better decisions. The authors also highlight micro and small firms’ difficulties with the use of marketing data so that they can have more effective practices.

The research contributes to the understanding of organizational mechanisms to absorb and learn from the vast amount of current marketing information. Recognizing the relevance of MSMEs, a preliminary multilevel analysis was also conducted to comprehend differences within this group.

The paper aims to provide a critical review of how variations in the conceptualization and contextualization of hate crime across US cities might impact how their individual law enforcement agencies collect hate crime data. Media reports and political discourses present hate crime as a prevalent problem in the USA. However, this representation of hate crime in the public sphere is not reflected in the relatively low national numbers of hate crimes published annually by the Federal Bureau of Investigation.

Drawing primarily on the national hate crime data for the period 2008–2018, this author conducted a secondary research study of the concept, context, extent and law enforcement collection of hate crime data in five cities in the USA.

This paper is a product of some of the findings of the study, which include the definition of hate crime at the federal, state and city levels and the contextualization of hate crimes at these levels. The findings show inconsistencies in how the five cities and associated law enforcement agencies conceptualize hate crime and in how they collect and report hate crime data at local and national levels.

Through its analysis of how five US cities and the associated law enforcement agencies interpret and respond to hate crime data collection, with recommendations of best practices for hate crime data collection by law enforcement agencies, the paper contributes to the academic and nonacademic debate on hate crime.

In February 2018, Jerome Powell had taken over as chair of the FOMC. At first glance, the macroeconomic conditions inherited by Powell appeared favorable for continued stability: unemployment and inflation were low, and the economy had been steadily growing for nearly a decade. Yet despite the appearance of stability, the economy faced significant risks that required the Federal Reserve's attention. Was an uptick in inflation imminent, and if so, should Powell raise rates to limit any inflationary pressure? Or was the economy still operating below capacity, and if so, should the Federal Reserve take a more accommodative stance? To gain perspective, Powell needed to look back at the past fifty years of monetary policy in the United States.

Inflation and federal monetary efforts to control it with interest rate hikes have very real and overwhelmingly negative consequences on US local governments following the onset of COVID-19. This study explores the post-pandemic inflationary environment of US local governments; examines the impacts of inflation and high interest rates on local government revenue, operating costs, capital costs, and debt service; reviews local government inflation management strategies, including the use of intergovernmental revenue; and assesses ongoing threats to local government financial health and financial resilience.

This study uses trend and literature analysis to comment on current issues local governments face.

The study finds that the growth of property values and resulting stability of property tax revenue has been important to local government revenues; that local governments bear very real burdens as operating and capital costs increase; and that the combination of high inflation and interest rates affects local government debt issuance by negatively affecting credit quality and interest costs, leading to municipal market contraction. Local governments have benefitted tremendously from intergovernmental revenue, but would be ill-advised to rely on it.

Vulnerabilities owing from revenue mismatch with the economy; inadequate affordable housing, inequality, and social issues; a changing workforce and tight labor market; climate change; and federal fiscal contraction—all of which are exacerbated by high inflation and interest rates—require local governments to act strategically, boldly and collaboratively to achieve fiscal health and financial resilience, and to realize positive returns of investments in people and capital.

This work is unique in addressing the post-pandemic impact of inflation and interest rates on local governments.

This study aims to analyze the relationship between the personal responsibility, the intrinsic knowledge of the norms and the knowledge of signs of money laundering of accountants.

The research was developed with responses from 381 Brazilian accounting professionals through a survey, statistically analyzed using structural equations.

The results indicate that personal responsibility directly affects the levels of intrinsic knowledge and knowledge about signs of money laundering; however, the different dimensions of knowledge were not related to each other.

From these results, organizations can clarify the individual about their responsibility, optimizing the use of training and mitigating costs, with greater sustainability and security for the organization, employees and business partners.

The results contribute to the construction and modeling of latent constructs on money laundering knowledge, with validity, reliability and statistical significance.

This research discusses and empirically explores the knowledge about money laundering of the accountants’, one of the main explanatory factors of whistleblowing in business.

To assess which partnerships were most critical during the recovery planning process following Hurricanes Maria and Irma. We discuss the roles and impact of different types of partners, barriers and facilitators to partnerships and lessons in collaboration during the development of the economic and disaster recovery plan for Puerto Rico.

The Homeland Security Operational Analysis Center (HSOAC) was tasked with assisting the Puerto Rican government with an assessment of damages from Hurricanes Maria and Irma and the development of the Recovery Plan. During the process, a small team compiled and coded a database of meetings with non-HSOAC partners. The team was divided into sector teams that mirrored FEMA’s Recovery Support Functions. Each sector completed two surveys identifying high impact partners and their roles and contributions, as well as barriers and facilitators to partnerships.

A total of 1,382 engagements were recorded across all sectors over seven months. The most frequently identified high impact partners were federal and Puerto Rican governmental organizations partners. NGOs and nonprofits were noted as key partners in obtaining community perspective. Sector teams cited a lack of trust and difficulty identifying partners as barriers to partner engagement. Given the expedited nature of disaster response, establishing partnerships before disasters occur may help facilitate community input. Early networking, increased transparency and defining roles and responsibilities may increase trust and effectiveness among partnerships.

To our knowledge, this is one of the few studies that quantifies and illustrates the partnerships formed and their contributions during recovery planning, and lessons learned.