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The Internet of Things (IoT) real-time data collection can help to more efficiently optimize and control companies' internal processes. Prior research analyzed IoT benefits and potential applications. Nevertheless, there is little empirical evidence and theoretical understanding of how IoT impacts new product development (NPD). This article aims at narrowing this gap.

In total, 54 case studies were selected from an IoT database – IoT ONE. IoT ONE has a section on NPD. NPD was divided into three phases: discovery, development and commercialization. The adopted IoT technology maturity level was also analyzed. A content analysis was carried out to identify the impacts of IoT in NPD.

This study’s findings capture the emerging patterns of IoT adoption and its impact on NPD. Of the total, 33 IoT adoption cases in the sample were in the machinery and equipment sector. Adopted technologies were at least two years old in 85% of the sample. Only 15% adopted cutting edge technologies (less than 2 years old). Key actors (e.g. vendors) facilitate IoT adoption. By a small margin, the larger impacts of IoT were in the commercialization phase, where it was primarily applied to improve and optimize production processes, to better execute and synchronize new products launching, and to increase the factories' productive capacity. In the discovery phase, IoT was mainly used to identify new opportunities in the market and to collect customer data, to generate a better customer experience. In the development phase, IoT allows greater integration across departments, increasing internal collaboration and allowing more flexible NPD.

Many articles studied the impact of information technologies in NPD. Few address the impact of IoT in NPD. IT tells about the impact of better communications with relevant people. IoT tells about machine acquired information and knowledge. This is new, much broader and deals with quite different impacts on NPD.

The purpose of this paper is discussing on cross-city empirical economic growth, by estimating an unbalanced dynamic panel for the most vulnerable region of Brazil.

The authors propose including additional and specific sources of cross-city variation, enabling them to capture the essence and reality of this region. The sample selection is given by the solution of a trade-off on the number of cities and the available explanatory variables. Considering the final choice, the analysis is based on 6,452 observations extracted from a sample of 925 cities between 2009 and 2015. Reconciling the regional growth literature and this availability of observable data, the authors decide to explain cross-city real gross domestic product per capita in log, controlling for its lagged value besides 15 explanatory variables on human capital, financial system, business environment and social infrastructure.

This study uses growth drivers on human capital, financial system, business environment and social infrastructure. Considering 6,452 observations for the period from 2009 to 2015, this study finds a significant role played by the levels of education of formal workers, rural financing, real estate financing and FIRJAN indices (health and employment).

A more comprehensive and complete understanding of cross-city variation, whether in the Northeast, in the North of the country or in other regions, involves the expansion of growth drivers in the model. Certainly, the impact of the industrial sector (not captured by the FIRJAN employment/income index), or programs and initiatives geared to technology, must be significant and positive. Despite the low market share, the insertion of microcredit data for informal, small business owners and more underserved families, can bring insights not measured in this article.

On financial system and development: The results on the significant and positive coefficient of rural and real estate financing are fundamental in conducting public policies aimed at granting credit. On human capital: The expected and intuitive relevant role of education suggests that good policies that are implementable need to be looked for and replicated to other northeastern cities. The state of Ceará seems to be that benchmark to be followed by the other states.

Another public policy that needs to be strengthened so that the most vulnerable cities can grow is related to the partnership with the private sector in the expansion and maintenance of basic sanitation. In this context, the new Legal Framework for Basic Sanitation is an important step. Its main objective is to universalize and qualify the provision of services in the sector. Theoretically, it seems to be an important advance and this also unlocks the first big wave of investments.

The analysis aims to contribute to the recent studies on regional growth applied to Brazil. To the best of the authors’ knowledge, this is an innovative contribution, and the main differences between this paper and the others are the sample of cities, the period, the growth model and the estimation technique. For instance, Da Mata et al. (2005, 2007) explore population growth and its implications for economic dynamics and income generation among 123 urban agglomerations between 1970 and 2000. Alves (2021) studied slum growth in contemporary urbanization of households in 272 Brazilian cities from 1991 to 2010.

The purpose of this paper is to explore the causal links between public and private university environments and the entrepreneurial intention (EI) of students.

The impact of different university environments on the students’ EI was checked using a model adapted from Krueger et al. (2000). The study comprised a sample of students enrolled in business administration from three public and three private universities at first semester (freshmen) and at the last two semesters (senior) in Brazil. The model was measured through various questions and later assessed by principal component analysis to build constructs. Via t-test and path analysis the EI and the antecedents were subjected to a comparative analysis to test the equality of the models across the four categories emerged.

The two main types of Brazilian university environments (public and private) do not present significant differences in the way they influence EI and its antecedents. Both the tests of means and the tests of measurement of the structural relations between constructs confirm this finding with only a few exceptions. The result of this study is opposed to other studies carried out in Brazil, by showing that the public university environment is not worse for the entrepreneurship than the private. The environmental effects are mostly equal and they as a whole are not conducive to the development of EI.

The study comprises business students only, and enrolled on regular universities. It is worth highlighting that evidence was brought to the debate for a group of universities in Brazil. Replicating the study with students from other areas and other universities, as well as students in Master’s and Doctorate programs could enrich the analyses.

This study provides insight into entrepreneurship education, as to which the university environment is conducive to the entrepreneurship. It brings insights for the development of entrepreneurial universities.

This study contributes to understanding the differences between the public and private universities environment regarding students’ EI.

This study aims to address a systematic literature review (SLR) using bibliometrics on the relationship between academic integrity and artificial intelligence (AI), to bridge the scattering of literature on this topic, given the challenge and opportunity for the educational and academic community.

This review highlights the enormous social influence of COVID-19 by mapping the extensive yet distinct and fragmented literature in AI and academic integrity fields. Based on 163 publications from the Web of Science, this paper offers a framework summarising the balance between AI and academic integrity.

With the rapid advancement of technology, AI tools have exponentially developed that threaten to destroy students' academic integrity in higher education. Despite this significant interest, there is a dearth of academic literature on how AI can help in academic integrity. Therefore, this paper distinguishes two significant thematical patterns: academic integrity and negative predictors of academic integrity.

This study also presents several contributions by showing that tools associated with AI can act as detectors of students who plagiarise. That is, they can be useful in identifying students with fraudulent behaviour. Therefore, it will require a combined effort of public, private academic and educational institutions and the society with affordable policies.

This study proposes a new, innovative framework summarising the balance between AI and academic integrity.

The purpose of this paper is to evaluate the pathological, biochemical and redox state parameters of liver tissue in Wistar rats treated from birth to adulthood (119 days) with cafeteria diet.

During the lactation, 6 liters of Wistar rats (dam + 8 pups each) were fed one of two diets: control (CTRL; n = 3) or cafeteria (CAF; n = 3) diets and water ad libitum. After weaning, the males were placed in individual cages, receiving the same diet offered to their respective dams (CTRL or CAF; n = 18) until adulthood. The following parameters were evaluated: absolute and relative liver weight; blood, liver and feces biochemistry; liver histology; and redox state of the liver.

When assessing the relative and absolute organ weight, no significant differences were found between the groups. The Cafeteria group exhibited higher values of serum LDL-c (p = 0.008), VLDL-c (p = 0.03) and triglycerides (p = 0.01), as well as several micro and macrovacuoles of fat accumulation, higher hepatic lipid (p = 0.03) and cholesterol (p = 0.0001) levels regarding Control group. Cafeteria group showed greater expression of glutathione-s-transferase (p = 0.03) and superoxide dismutase (p = 0.005) enzymes compared to the control group. In the case of the markers of oxidative stress, there was no difference between the groups.

A simple and standardized cafeteria diet caused an accumulation of fatty acids in liver tissue, inducing a state of hepatic steatosis besides an increased expression of antioxidant enzymes.

The purpose of this paper is to interpret the use of accounting information relating to the House of Correction, a public safety institution established in Rio de Janeiro for the control of workers under a tutelage system (1831–1864). The aim of the House of Correction was to develop a disciplined workforce of former slaves and other “Free Africans”. Various control and information procedures were put in place to monitor its achievement of this goal.

This study is based on historical archival research, mainly conducted at the National Archive of Rio de Janeiro and at the Brazilian National Library. The study uses Althusser’s ideology concept and the Marxist concept of reproduction of labour to show how accounting information enabled the administrator of the House of Correction to exercise control over the “Free Africans” consistent with the ideologies of the period and place.

The authors find that the House of Correction pursued a policy of ensuring “Free Africans” were docile, obedient and familiar with State ideology.

The research is based on a single case study and it shows the need for both comparative and interdisciplinary analysis in order to increase an understanding of the use of accounting information in ancient prison contexts, as well as in contemporary situations.

This paper extends our knowledge of the use of accounting for the control of workers, who were either captive or repressed due to their ethnical differences; and it shows how ideology can be imposed through the use of accounting information. The authors extend theory by applying the Marxist and Althusserian concept of reproduction of labour to the case of “Free Africans”.