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The management of materials consists of an important analysis for industries as there are factors in several areas that should be considered. For this, it should take into account logistical factors, quality and production, because one piece delivered in a large lead time or outside the technical quality standards, imply delays in the project or rework. In this context, the importance of creating a control method of input and output of tools in an aviation industry in the city of Toulouse, France, was seen due to the amount of many incomplete arrivals or inappropriate material for use. The paper aims to discuss this issue.

This study used a philosophy of lean manufacturing tools and visual management (VM). A VM panel with information documents of all tools used in an assembly station of a model airplane was applied. With all data collected to carry out the project, the panel was created with the most relevant information of each tool and applied to an assembly station. That done, the production supervisors, mechanical and electrical supervisors were trained in the operation. Despite a change of management, it was realized that all supported the change due to the ease of understanding of the method and a good VM.

At the end of the work, materials management became more simplified, operators were more satisfied because of the non-occurrence of tools mistakes and the control time decreased from 120 to 15 minutes.

The application of this project has begun in an assembly station; however, it has been validated to be applied throughout the facility and its applications are being studied for other industries with different models.

This project developed a visual panel for support visual communication of the airplane assembly line. Its usage eliminates tools lost, inefficiencies and decreases lost time with tools selection.

This work proposes a way to simplify the management tools for assembly station plane using a VM panel based on the lean philosophy. The study was conducted at the Final Assembly Line of an aircraft model from a unit of an aircraft company.

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 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.

This study aims to analyse Türkiye’s industrial economic complexity index (ECI-IND) for comparison with the ECI-INDs of member countries of the Organization for Economic Co-operation and Development (OECD). It also explores the causal relationship between economic complexity and economic growth in Türkiye.

Empirical analysis was directed at industrial export baskets consisting of 760 product groups distributed by 130 countries. These data were used to calculate the product complexity index (PCI) and ECI-IND values of these countries. The calculations then served as the basis for examining Türkiye’s economic complexity in comparison with that of OECD countries. Finally, the short- and long-term relationships between the ECI-IND and GDP per capita in Türkiye were investigated using a time series analysis.

This study’s findings revealed that Türkiye ranked last in terms of economic complexity. The time series analysis showed unidirectional causality between Türkiye’s ECI-IND and its economic growth.

Türkiye should concentrate on ensuring the convergence of its ECI with those of developed countries. Based on the existing literature, it is important for Türkiye to implement policies that (1) increase human capital, (2) expand the share of R&D expenditures out of the GDP and (3) attract foreign direct investments, which advance technology transfer.

This study inquired into the ECI based on industrial products in Türkiye and accordingly provided new data on countries. It also compared Türkiye and OECD nations with respect to this index.

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.

The authors analyzed data and information mainly from the company’s annual reports and the books written by the CEO.

How and when can a “value” brand upscale its brand image? In the wake of the financial crisis of 2007–2008, UNIQLO – Japan’s street fashion brand – considered introducing a new brand collaboration. They needed to capture the attention of younger, more fashionable consumers. However, people were tightening their spending as they faced uncertainties related to their jobs and wealth. Even though UNIQLO had had a steady growth in sales for the previous 24 years, it was questionable whether it was strategically a good time to launch a premium brand collaboration. And if so, who was the right partner? High-end designer Jil Sander, fashionable New York-based Theory or emerging French “casual luxury” brand Comptoir des Cotonniers?

This case is about the challenges faced by a low-priced brand to collaborate with a high-end brand to enhance the brand image. It explores the important elements to take into consideration when evaluating launching collaboration using the high-end brand’s name. The students will learn how to examine the risks and benefits of creating a new image for the core brand. If the students had learnt branding or brand extension before, this case can be used to teach how consumer’s perception affects brand extension and the target market’s impact on pricing and distribution strategies. It can be used for a marketing course at the MBA level to explore the concepts in a growing company’s brand image or an undergraduate specialized course in brand management or marketing management. The students also learn how the fashion industry’s supply chain management works to adapt to rapidly changing fashion trends.

The purpose of this paper is to empirically test the relationship between the various components of intellectual capital (IC) (human, organizational, technological and relational) and organization performance (OP) in small and medium enterprises (SMEs) in the manufacturing sector in the region of Baja California, Mexico.

A sample of 127 surveys was applied to CEOs, CFOs or managers of SMEs. In order to test the research hypotheses, a multiple regression was run prior to the development of exploratory and confirmatory factor analyses.

The results showed that the four capitals have a positive influence on OP; the evidence is consistent with several studies in Mexico and abroad. Furthermore, knowledge management was introduced as a moderating variable and the result was that it negatively moderates the relationship between IC and OP.

The main limitation of this research is that it only focused on one region and a single sector in Mexico. However, future research at the national level might verify the hypotheses tested.

This research contributes to enrich the theoretical framework for the Mexican context regarding IC; additionally, it allows contrasting the evidence with other studies at national and international levels.

The Economic Commission for Latin America (ECLAC) was created in the post-war, when Latin-American countries were facing disequilibrium in international trade, capital shortage and rising inflation. The ECLAC intended to aid in the definition of a development strategy that could deal with these issues. Between the first ECLAC publications, three of them are considered to be “the trilogy that founds the structuralist theory” (Bielschowsky, 2011, p. 8): the Latin-American Manifesto, the Economic Survey of Latin America-1949, and Theoretical and Practical Problems of Economic Growth. These documents set the center-periphery relation as a conditioning feature for the behavior of national economies, and describe the trajectory of terms of trade deterioration and its consequences to peripheral nations. The objective here is to argue that this trilogy contains an analysis of inflation in underdevelopment, and anticipates the main elements of what would later be called the structuralist theory of inflation. The introduction depicts the context that originated the ECLAC and the debates on how to foster post-war Latin-American development. The second section analyzes the Singer Report and the Latin-American Manifesto with regard to the causes of inflation in peripheral nations. The third section discusses the Economic Survey of Latin America – 1949, with a focus on the consequences of technology incorporation in underdeveloped structures. Section four explores “Theoretical and Practical Problems of Economic Growth” and the issue of inelastic production. Section five surveys the incorporation of Prebisch’s approach into the Brazilian debate. The conclusion sets Prebisch’s contribution in perspective with other structuralist authors.

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.