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This paper presents Quick Changeover Design (QCD), which is a structured methodological approach for Original Equipment Manufacturers to drive and support the design of machines in terms of rapid changeover capability.

To improve the performance in terms of set up time, QCD addresses machine design from a single-minute digit exchange of die (SMED). Although conceived to aid the design of completely new machines, QCD can be adapted to support for simple design upgrades on pre-existing machines. The QCD is structured in three consecutive steps, each supported by specific tools and analysis forms to facilitate and better structure the designers' activities.

QCD helps equipment manufacturers to understand the current and future needs of the manufacturers' customers to: (1) anticipate the requirements for new and different set-up process; (2) prioritize the possible technical solutions; (3) build machines and equipment that are easy and fast to set-up under variable contexts. When applied to a production system consisting of machines subject to frequent or time-consuming set-up processes, QCD enhances both responsiveness to external market demands and internal control of factory operations.

The QCD approach is a support system for the development of completely new machines and is also particularly effective in upgrading existing ones. QCD's practical application is demonstrated using a case study concerning a vertical spindle machine.

This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship.

The authors used a novel approach known as necessary condition analysis (NCA) to data on EEs and deep-tech startups from 132 countries, collected in a global innovation index and Crunchbase data sets. The NCA makes it possible to identify whether an EEs resource is a necessary condition that enables entrepreneurship.

Necessary conditions are related to political and business environment; education, research and development; general infrastructure; credit; trade; diversification and market size; and knowledge absorption capacity.

The results show that business and political environments are the most necessary conditions to drive deep-tech entrepreneurship.

Policymakers could prioritize conditions that maximize entrepreneurial output levels rather than focusing on less necessary elements.

Some resources require less performance than others. So, policymakers should consider allocating policy efforts to strengthen resources that maximize output levels.

Studies on deep-tech entrepreneurship are scarce. This study provides a bottleneck analysis that can guide the formulation of policies to support deep-tech entrepreneurship, as it allows to identify priority areas for resource allocation.

Improving business processes provides companies with advantages in terms of efficiency and profitability, as well as competitiveness against other companies in the market. Companies that integrate business processes with enterprise resource planning (ERP) systems into digital platforms also have the opportunity to strengthen their weaknesses by recognizing disruptions and bottlenecks in inefficient business processes thanks to this digital transformation. Descriptive and bibliometric analyses were performed in this study for a systematic evaluation of studies on artificial intelligence (AI) in the ERP literature. The studies in which the keywords determined from the AI literature were firstly used together with ERP were investigated from the Scopus database. 837 publications meeting the search criteria were reached and a descriptive analysis of these publications was presented. Then, bibliometric analysis was performed using common author, common citation, and common keyword analysis methods for 296 publications in the article type. Tsinghua University and Obuda University have the most publications according to the results. The most commonly used AI keywords in the ERP studies were “genetic algorithm”, “fuzzy logic”, and “machine learning”. This study aims to guide future studies by providing a systematic and new perspective to researchers and experts working on ERP-AI.

This study analyzes the role of migrant networks in the migration flows in relation to the educational level of the migrants and economic growth of the states of origin and destination in Brazil.

Fixed effects estimator applied to microdata.

The results show migrant networks have a significant and positive impact on migration flows of the different educational levels. The economic growth in the destination state accentuates this effect, while the economic growth in the origin state has distinct impacts according to the educational level of the new migrant.

The authors investigate the importance of migrant networks in the internal immigration within a developing country with large internal movement of people. In Brazil, the socio-economic condition of the population varies considerably in relation to its geography, which explains the country’s large internal migration flows.

Evidence from previous literature indicates that adopting a new innovative technology has a positive impact on a company’s business performance. Much less work has been carried out into examining whether a technology adoption has impact on corporate reputation. This paper aims to examine the latter topic in a context where social media is the channel used to share news about the introduction of a new technology. The empirical setting of the study consists of five retail companies located in the USA that decided to include Bitcoin as a payment platform.

Twitter data were used to measure how sharing news about the adoption of new technology could affect the reputation of the companies selected, keeping a clear distinction between the volume of data relating to social media responses and the sentiment expressed in the tweets. A panel vector autoregression model was used to incorporate series of data relating to news items, volume and sentiment.

The results show that the news about the adoption of a new technology has a positive impact on both the volume of tech-related tweets and the sentiment expressed in the tweets themselves, although the patterns of these two effects are different. The resulting impact decreases after a few days, both in volume and in sentiment.

The analysis has limitations that future research could address by extending and diversifying the examined companies and the social media used as data sources. The research suggests that managers in medium-sized companies can leverage on the introduction of new technologies that have a direct impact on their customers and gain reputational benefits in terms of immediate visibility.

The research introduces an additional dimension of analysis to the current stream of corporate reputation. Although the literature has already covered the dynamics of response to events on Twitter, by focusing on the adoption of the new Bitcoin technology, the paper provides novel insights.

This study aims to evaluate the effects of the synergy between monitoring technologies and deforestation control policies promoted by the Action Plan for the Prevention and Control of Deforestation in the Legal Amazon (PPCDAm) during its initial stage.

The triple difference method is employed to explore the differences between the non-metropolitan municipalities with Indigenous lands and other regional municipalities.

The findings indicate a reduction of approximately 16.1 km² per municipality between 2004 and 2007. This reduction corresponds to a decrease of 10,293 km² in the area of deforestation and a total of 498 million tons of CO₂. To ensure the robustness of the results, placebo tests, event study and flexibility in the composition of the groups were conducted. The robustness tests substantiate the findings.

These results emphasize the significance of remote monitoring policies for controlling deforestation in isolated regions and Indigenous lands. Additionally, such results indicate that the policy was cost-effective.

This study innovates by examining the causal impact of the initial phase of the PPCDAm before 2008, a period not focused on existing literature. Further, employing the triple difference method innovates methodologically to assess PPCDAm's effect on deforestation in isolated Amazon areas.

Innovation is a constant attribute in the management processes of technology-based companies (TBCs), mostly small and young, and plays a relevant role in their competitiveness and survival. However, the authors assumed that the characteristics of innovation practices differ between incubated and post-incubated companies, in such aspects as formality, type, posture and strategy. The purpose of this paper is to report the innovation practices identified in small TBCs in the incubation and post-incubation periods (graduate companies).

To achieve the purpose, the authors carried out a multiple case study with four TBCs, two incubated and two post-incubated (graduate); the study was qualitative and exploratory, and the authors collected data with their managers.

The results show that these companies have high levels of innovation, which is a determinant factor for their presence in the business market; they create technological innovations in products and services, mostly incremental, such as improvements in existing products or reduction of internal costs of manufacturing. In addition, the results also show important features of the innovations, such as the interaction with other incubated companies and with universities and research centers.

The authors conclude that there were changes in innovation practices, in the transition from incubated to graduate companies, such as the formalization of processes, a shift in focus toward the customer and an increase in resources and in projects’ relevance.

The current study aims to examine the impact of two black swan events on the performance of six stock markets in Gulf Cooperation Council (GCC) economies (Abu Dhabi, Bahrain, Dubai, Oman, Qatar and Saudi Arabia). The two selected black swan events are the US Mortgage and credit crisis (Global Financial Crisis of 2008) and the COVID-19 pandemic.

The performance of all the six stock markets are represented by their return and price volatility behavior, which has been measured by applying ARCH/GARCH model. The comparative analysis is done by employing mean difference models. The data is collected from Bloomberg on a daily frequency.

The response of two black swan events on the GCC stock markets has been heterogenous in nature. During the financial crisis, the impact was heavily felt on most of the stock markets in the GCC countries. It is revealed that the financial crisis had a negative significant impact on four of the six countries. Whereas during the COVID-19 crisis, it is revealed that there is no significant impact on four of the six selected stock markets. The positive significant impact is felt on two stock markets, namely, the Abu Dhabi stock market and the Saudi stock market.

The present investigation attempts to fill the gap in the literature on the intended topic because it is evident from the literature on the chosen subject that no study has been undertaken to evaluate and contrast the impact of the GFC crisis and COVID-19 on the GCC stock markets.

This article aims to advance the literature on the effects of corruption and its relationship to human rights violations. The article also presents an overview of existing legislative measures as well as those expected to be implemented at the national level to tackle corruption and its impacts on fundamental rights.

The study draws on the literature that addresses the relation between corruption and human rights, and analyses a single well-known case in Brazil (Operation Car Wash) in order to discuss both the violation of citizens’ political rights and of those being investigated.

The article suggests that the Brazilian State has failed to guarantee fundamental rights as well as to effectively control electoral corruption. By exploring the complex structure of illegal campaign financing in Brazil, the article exposes how Operation Car Wash evidenced the violation of both of the right to participate public affairs and to vote in authentic elections in Brazil.

Considering that the literature shows it is difficult to link the breaches of human rights with incidences of corruption, this article debates the macro context in which the Car Wash case is inserted and demonstrates the evidence that link the corrupt acts involved in this operation to the violation of specific fundamental human rights: the political rights.