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The purpose of this paper is to characterise the TWIN-RRT* algorithm which solves a motion planning problem in which an agent has multiple possible targets where none of them is compulsory and retrieves feasible, “low cost”, asymptotically optimal and probabilistically complete paths. The TWIN-RRT* algorithm solves path planning problems for both holonomic and non-holonomic robots with or without kinematic constraints in a 2D environment.

It was designed to work equally well with higher degree of freedom agents in different applications. It provides a practical implementation of feasible and fast planning, namely where a closed loop is required. Initial and final configurations are allowed to be exactly the same.

The TWIN-RRT* algorithm computes an efficient path for a single agent towards multiple targets where none of them is mandatory. It inherits the low computational cost, probabilistic completeness and asymptotical optimality from RRT*.

It uses efficiency as cost function, which can be adjusted to the requirements of any given application. TWIN-RRT also shows compliance with kinematic constraints.

The practical application where this work has been used consists of an autonomous mobile robot that picks up golf balls in a driving range. The multiple targets are the golf balls and the optimum path is a requirement to reduce the time and energy to refill as quickly as possible the balls dispensing machine.

The new random sampling algorithm – TWIN-RRT* – is able to generate feasible efficient paths towards multiple targets retrieving closed-loop paths starting and finishing at the same configuration.

Domestic violence is a global social and public health problem for which several awareness campaigns have been conducted. Therefore, it is necessary to understand the impact of these campaigns on the population and the process of perception of the messages. In this context, this study aims to analyze the attitudes of individuals toward domestic violence campaigns.

Conducted in Brazil, this research adopted a quantitative approach, using a questionnaire survey with a convenience sample. The conceptual model incorporated three dimensions, namely, the perceived efficacy of the subjects regarding the campaigns, the adopted behavior as a consequence of exposure to the messages and finally, the word of mouth, the recommendation of conduct advised in the campaigns to family and friends. These dimensions were translated into a set of items that integrated the data collection instrument. In the questionnaire, it was intended that the interviewees answered the questions having in mind the campaigns addressed to the Brazilian population with the purpose of prevention for domestic violence, recently released in Brazil.

In a first descriptive analysis, all dimensions obtained positive values. The conceptual model was analyzed, and the hypotheses under study were tested using the partial least squares method. As for convergent and discriminant validity, it was found that each dimension presented adequate internal consistency and, simultaneously, was distinct from the others. The structural model explained 69.2% of the variance of “word of mouth” and 28.5% of the variance of “adopted behavior.” H1 was confirmed, showing a positive influence between perceived efficacy and adopted behavior. H2 was also accepted, and a positive impact of adopted behavior and the intention to recommend to others (word of mouth) was verified.

As a practical contribution, this research allows outlining recommendations for social marketing and communication professionals responsible for awareness campaigns. The results can alert professionals responsible for these campaigns to give visibility to the campaign itself, broadcasting it through mass media, if possible, but also through digital media, such as social networks. In terms of message content, the campaigns should seek behavioral change, leading, on the one hand, the recipients to adopt new behaviors and, on the other hand, to recommend these same behaviors to family and friends, thus multiplying the effect and effectiveness of the campaign.

This study makes an academic contribution, as it directly explores the impact of domestic violence prevention campaigns on the population and can be adapted to campaigns for other social causes. In addition, to the best of the authors’ knowledge, this is one of the first studies on domestic violence campaigns in Brazil, one of the main countries affected by this problem. As a practical contribution, this research allows outlining recommendations for social marketing and communication professionals responsible for awareness campaigns.

Considering the importance of the content created by the host for Airbnb consumers while making purchasing decisions, this study aims to analyze how the Airbnb hosts promote their properties by revealing the predominant attributes considered by hosts when advertising them.

The unstructured textual content of online Airbnb accommodations advertisements (property descriptions) is analyzed through a longitudinal text mining approach. This study defines a pipeline based on a topic modeling approach that allows not only to identity the most prevalent text attributes but also its distribution through time.

This research identifies and characterizes the attributes most advertised over time, on about 30,000 accommodations posted monthly over two years, between 2018 and 2020. Five main topics were identified in the data reflecting only pull motivations. Noteworthy is the slight changes in properties’ descriptions topics along the two years, suggesting that “service” is increasingly being perceived by hosts as an important attribute of Airbnb guest experience.

Through a text analysis, this study provides an insight into peer-to-peer accommodation on the key attributes that hosts consider in the description of their properties to leverage the attractiveness of Airbnb. In the light of existing research, which has predominantly focused on the trustworthiness and attractiveness of the Airbnb advertisement, this research differentiates by analyzing the main attributes in text over time. Given the Airbnb’s changes since its inception, a longitudinal view is relevant to clarify how hosts advertise their properties and how it evolves in the light of these changes.

This study aims to propose a data-driven approach, based on open-source tools, that makes it possible to understand customer satisfaction of the accommodation offer of a whole country.

The method starts by extracting information from all hotels of Portugal available at TripAdvisor through Web scraping. Then, a support vector machine is adopted for modeling the TripAdvisor score, which is considered a proxy of customer satisfaction. Finally, knowledge extraction from the model is achieved using sensitivity analysis to unveil the influence of features on the score.

The model of the TripAdvisor score achieved a mean absolute percentage error of around 5 per cent, proving the value of modeling the extracted data. The number of rooms of the unit and the minimum price are the two most relevant features, showing that customers appreciate smaller and more expensive units, whereas the location of the hotel does not hold significant relevance.

National tourist offices can use the proposed approach to understand what drives tourists’ satisfaction, helping to shape a country’s strategy. For example, licensing new hotels may take into account the unit size and other characteristics that make it more attractive to tourists. Furthermore, the procedure can be replicated at any time and in any country, making it a valuable tool for data-driven decision support on a national scale.

This qualitative study, which is based on multiple cases, aims to analyze the pattern of acquisitions by Brazilian multinationals, such as Gerdau in the steel industry, Petrobrás in the oil and gas industry and Vale in the mining industry, to infer the likely knowledge motivations underlying the acquisitions of these firms.

The analyses of the three cases, with secondary data collected for the period from 2003 to 2007, classify the acquisitions according to the extent of the exploration or exploitation of resources and in two dimensions: business knowledge and location knowledge, in accordance with Ferreira’s (2005) model based on March (1991) and Chandler (1962).

The findings showed that the acquisitions by Gerdau, Petrobrás and Vale favored the exploitation of their resources and capabilities developed in the home market more than the exploration of new resources and capabilities. Regarding the ownership acquired, this study failed to observe the likely expected pattern of acquiring a majority stake for sustaining an exploitation strategy or a minority stake for sustaining an exploration strategy.

This study makes three contributions. First, the need to analyze the potential gains of new knowledge acquisition in domestic and cross-border expansion. Second, considering the opportunity to explore new resources and knowledge even for firms in commodity industries. Third, considering how the equity held is a structural solution that needs to be adjusted to the knowledge strategy.

The emergence of the COVID-19 pandemic changed the way in which education was delivered in early 2020, and the impacts of these changes continue to be questionable. The aims of this study were to evaluate: (1) the results obtained by students of the Dentistry course in the progress test carried out both before and after the pandemic, (2) the results obtained by a specific group of students who took the test in 2019–2022, and compare their results and (3) subjects that showed a reduction in the percentage of correct answers when the two tests were compared.

The progress test consisting of 100 multiple choice questions was applied before and after the pandemic to all students in the Dentistry course. The analyses were performed using the IBM SPSS for Statistics v.26 software program. The level of significance of 5% was adopted (<0.05).

The test was applied to 320 students in 2019 and to 272 in 2022, of whom the sample of this study was composed. The mean score values in 2019 (M = 49.10; SD = 12.03) were significantly (p = 0.026) higher than those in the year 2022 (M = 46.97; SD = 12.15), with the disciplines in the area of specific knowledge showing a greater drop in the percentage of correct answers by students. This study showed that the emergency remote education had a negative effect on the academic performance of students, based on the progress testing as an evaluation method.

Many studies that assessed the impacts of the pandemic on teaching were focused on the opinions of students. However, the great advantage of our study was the use of a theoretical assessment tool to verify student performance. The post-pandemic landscape beckons for comprehensive inquiries into these domains. This type of research would be valuable for gathering evidence relative to the performance of students after the emergency remote education.

We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in the construction of hegemonies in SEA research in Brazil. In particular, we examine the role of hegemony in relation to the co-option of SEA literature and sustainability in the Brazilian context by the logic of development for economic growth in emerging economies. The methodological approach adopts a post-structural perspective that reflects Laclau and Mouffe’s discourse theory. The study employs a hermeneutical, rhetorical approach to understand and classify 352 Brazilian research articles on SEA. We employ Brown and Fraser’s (2006) categorizations of SEA literature to help in our analysis: the business case, the stakeholder–accountability approach, and the critical case. We argue that the business case is prominent in Brazilian studies. Second-stage analysis suggests that the major themes under discussion include measurement, consulting, and descriptive approach. We argue that these themes illustrate the degree of influence of the hegemonic politics relevant to emerging economics, as these themes predominantly concern economic growth and a capitalist context. This paper discusses trends and practices in the Brazilian literature on SEA and argues that the focus means that SEA avoids critical debates of the role of capitalist logics in an emerging economy concerning sustainability. We urge the Brazilian academy to understand the implications of its reifying agenda and engage, counter-hegemonically, in a social and political agenda beyond the hegemonic support of a particular set of capitalist interests.

The purpose of this paper is to provide further understanding of entrepreneurship education, seeking to comprehend the use of experience in this context. Based on the theory of experiential learning, the authors sought to develop and test a conceptual model for teaching entrepreneurship at the undergraduate degree level.

Due to the need to develop a model, the authors used design science research as a method to develop and test an artifact. First, bibliographic research was conducted to develop the model, which was then tested through empirical application. This empirical application was conducted at a Brazilian educational institution, with the participation of 110 students. A total of 440 activities were analyzed through content analysis.

The authors found advantages and disadvantages regarding the use of experience in entrepreneurship learning, such as greater student engagement, sense of empowerment and aspects related to the course and assessments.

In this paper, the authors offer suggestions for undergraduate teachers and to faculty members on how to teach entrepreneurship, with the student as the main actor in the learning process. Furthermore, the authors have access to a study addressing a contemporary theme that is emerging in Brazilian universities.

In this paper, the authors contribute with the debate on entrepreneurship education, realizing that the understanding of this issue continues to require closer study due to a lack of empirical consensus in previous works. Its originality lies in the development and testing of a model for undergraduates, drawn from a theory whose main use is in graduate school.

The purpose of this study is to understand how neuroscientific tools are used and discussed in ongoing research on strategy in organizations.

The authors used a bibliometric study of bibliographic pairing to answer the research question. They collected data from the Web of Science and Scopus databases using the keywords “neuroscience*,” “neurostrategy*” and “neuroscientific*.”

This study presents a framework that relates fundamental aspects discussed in current research using neuroscientific tools: Neuroscience and its research tools in organizations; emotions and information processing; interdisciplinary application of neuroscientific tools; and moral and ethical influences in the leaders' decision-making process.

The inclusion of neuroscientific tools in Strategic Management research is still under development. There are criticisms and challenges related to the limitations and potential to support future research.

Despite recognizing the potential of neuroscientific tools in the mind and brain relationship, this study suggests that at this stage, because of criticisms and challenges, they should be used as support and in addition to other traditional research techniques to assess constructs and mechanisms related to strategic decisions and choices in organizations.

Neuroscientific methods in organizational studies can provide insights into individual reactions to ethical issues and raise challenging normative questions about the nature of moral responsibility, autonomy, intention and free will, offering multiple perspectives in the field of business ethics.

In addition to presenting the potential and challenges of using scientific tools in strategic management studies, this study helps create methodological paths for studies in strategic management.

This paper aims to discuss how trade union leaders deal with the implementation of Industry 4.0 (I4.0). The study is circumscribed to the Brazilian automotive sector and came from a human-centric (Industry 5.0) concern related to issues such as organisational learning, knowledge, innovation and workplace learning.

Case studies in two truck plants related to union participation during new product and process implementation based on Industry 4.0. Semi-structured interviews with union leaders from both plants were conducted to determine the subtle similarities and differences between the two polar types.

The findings pointed out that human resources and workplace learning must be reviewed to prepare workers to face I4.0. Four themes are explored: modernisation origins; negotiation process; workers’ concerns; and results and lessons learned. The findings highlight concerns about employees and job loss; replacement of workers by technological devices; workplace learning and the trade union perspective; and influence of the country’s economic situation on I4.0 implementation in social systems dependent on worker tacit knowledge.

This paper presents labour union leaders’ perspectives related to the impact of I4.0 and contributes to a better understanding of industry-worker workplace learning.