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Social media platforms that disseminate scientific information to the public during the COVID-19 pandemic highlighted the importance of the topic of scientific communication. Content creators in the field, as well as researchers who study the impact of scientific information online, are interested in how people react to these information resources and how they judge them. This study aims to devise a framework for extracting large social media datasets and find specific feedback to content delivery, enabling scientific content creators to gain insights into how the public perceives scientific information.

To collect public reactions to scientific information, the study focused on Twitter users who are doctors, researchers, science communicators or representatives of research institutes, and processed their replies for two years from the start of the pandemic. The study aimed in developing a solution powered by topic modeling enhanced by manual validation and other machine learning techniques, such as word embeddings, that is capable of filtering massive social media datasets in search of documents related to reactions to scientific communication. The architecture developed in this paper can be replicated for finding any documents related to niche topics in social media data. As a final step of our framework, we also fine-tuned a large language model to be able to perform the classification task with even more accuracy, forgoing the need of more human validation after the first step.

We provided a framework capable of receiving a large document dataset, and, with the help of with a small degree of human validation at different stages, is able to filter out documents within the corpus that are relevant to a very underrepresented niche theme inside the database, with much higher precision than traditional state-of-the-art machine learning algorithms. Performance was improved even further by the fine-tuning of a large language model based on BERT, which would allow for the use of such model to classify even larger unseen datasets in search of reactions to scientific communication without the need for further manual validation or topic modeling.

The challenges of scientific communication are even higher with the rampant increase of misinformation in social media, and the difficulty of competing in a saturated attention economy of the social media landscape. Our study aimed at creating a solution that could be used by scientific content creators to better locate and understand constructive feedback toward their content and how it is received, which can be hidden as a minor subject between hundreds of thousands of comments. By leveraging an ensemble of techniques ranging from heuristics to state-of-the-art machine learning algorithms, we created a framework that is able to detect texts related to very niche subjects in very large datasets, with just a small amount of examples of texts related to the subject being given as input.

With this tool, scientific content creators can sift through their social media following and quickly understand how to adapt their content to their current user’s needs and standards of content consumption.

This study aimed to find reactions to scientific communication in social media. We applied three methods with human intervention and compared their performance. This study shows for the first time, the topics of interest which were discussed in Brazil during the COVID-19 pandemic.

The study aims to explore how young adults perceive cooking contents on social media and their interaction with it.

Qualitative study using semi structured interviews with Brazilian young adults who cook (19–24 years old, n = 31) was the method employed. Interview audio recordings were transcribed and submitted to inductive and reflexive thematic analysis.

Data analysis generated six different themes. Young adults valued the profiles’ aesthetics and quality in terms of straightforwardness, trustworthiness, novelty and authenticity of information; they also identified with the profiles’ authors. When pressed for time, aesthetics was less valued than straightforwardness. Participants felt overwhelmed by the excessive information on social media and developed coping strategies to deal with this issue.

The lack of cooking and food skills is a recognized barrier for healthy eating in the young adult population. Social media can play a prominent role in delivering cooking-related information to the younger generation, but research on people’s perceptions of the cooking content available online is scarce and does not focus on how actual engagement with the available content happens. This qualitative exploration revealed which features young adults prefer when using social media to access cooking content, which can inform future interventions to promote cooking and improve health.

The effect of digital transition on knowledge management (KM) processes is becoming relevant for companies operating in different industries and the body of literature examining this impact is rapidly growing. This paper aims to critically analyse the literature on the impact of digital transition on KM by rethinking the SECI model proposed by Nonaka and proposing the WISED model for the digital knowledge-creating company.

The systematisation of existing studies on the topic and the analysis of the evolution of knowledge creation process in the era of digital transition was carried out through a bibliometric approach.

According to the traditional epistemological and ontological dimensions and considering the innovative KM processes identified by this study (i.e. webification, informalisation, systematisation, explicitation and digitalisation), the results highlight how the proposed WISED model can be adopted by organizations to manage knowledge through the use of digital technologies.

Digital transition seems to open up new horizons that can expand the potential use of the WISED model for organisations and society.

In recent years, the emergence of Industry 4.0 technologies as a way of increasing productivity has attracted the attention of the manufacturing industry. This study aims to investigate the relationship between Industry 4.0 technologies and lean tools (LTs) by measuring how the internalisation of LTs influences the adoption of Industry 4.0 technologies and how the synergy between them helps improve productivity in European manufacturing firms.

Results from 1,298 responses were used to analyse linear regression and study the correlation between the use of LTs and Industry 4.0 technologies.

Results show that the companies analysed tend to implement more Industry 4.0 technologies when their level of lean internalisation is high.

This study provides useful information for managers of manufacturing firms by showing the correlation between LT internalisation and Industry 4.0 technologies, corroborating that optimal implementation of these technologies is preceded by a high level of LT internalisation. Furthermore, although there are studies showing the relationship between LTs and Industry 4.0 technologies, none consider the intensity of their implementation.

This paper aims to contribute to understanding Brazilian fashion consumer behavior. The subsequent research question is formulated as follows: How are the consumers purchasing new clothes and disposing of used ones, and how is their awareness of sustainable fashion consumption and disposal of used clothes?

An online questionnaire was sent to nearly one thousand e-mails. A database was formed with 182 complete answers to 13 questions concerning consumer behavior toward sustainability, especially clothing acquisition, use and disposal. A multimethod approach was used to analyze the initial attributes, applying descriptive statistics, cluster analysis and data mining.

This survey obtained valuable answers from Brazilian fashion consumers grouped into four clusters. Age and yearly income were more critical in determining the clusters. Only four attributes were chosen by the algorithm to build the trees (age, annual income, yearly spending on clothes and how long the clothes are worn). The consumer's profile may help the fashion industry redirect investments in sustainability. The most critical factor leading to the sustainability of clothing fashion was the duration of the clothes. The study dealt with a limited sample size that was not representative of Brazil's broader population. Despite numerous attempts to seek responses through e-mail, the participant pool was predominantly composed of highly educated individuals.

This assessment of Brazilian consumer behavior toward sustainability and fashion presents essential knowledge to understand the relationships among variables affecting the purchase and discharge of clothes.

Hotels offer high-quality guest experiences to positively impact their emotions, satisfaction, perceived value, word-of-mouth (WOM) and electronic word-of-mouth (eWOM). This study aims to investigate the impacts of the quality perceived by hotel guests on their positive emotions, negative emotions, perceived value and satisfaction; verify the impacts of the price on perceived value and satisfaction; examine the impacts of satisfaction on WOM and eWOM; and test the moderating effect of hotel guests’ behavioural engagement on social networking sites (HGBE-SNS) on the relationship between satisfaction and eWOM.

This survey included 371 guests who assessed their experiences at three Brazilian hotels. Structural equation modelling tested the hypothetical model supported by the stimulus-organism-response (S-O-R) theory (Mehrabian and Russell, 1974).

The quality perceived by hotel guests (stimulus) positively impacts perceived value, positive emotions and satisfaction and negatively affects negative emotions (organism). Price (stimulus) negatively impacts perceived value but does not affect satisfaction. Perceived value positively impacts satisfaction. Satisfaction positively impacts WOM and eWOM (responses). The HGBE-SNS moderates the relationship between satisfaction and eWOM.

To the best of the authors’ knowledge, this study is the first that simultaneously demonstrates the relationships between perceived quality, price, perceived value, positive and negative emotions, satisfaction, WOM, eWOM and HGBE-SNS. Hotels must offer their guests high-quality services to positively impact’ perceived value, positive emotions, satisfaction and WOM. Low prices boost the perceived value but do not directly increase guest satisfaction. Satisfied hotel guests share their experiences via WOM, but high HGBE-SNS is crucial to boost eWOM.

Los hoteles ofrecen experiencias de alta calidad a sus huéspedes para influir positivamente en sus emociones, satisfacción, valor percibido, boca a boca (WOM) y boca a boca electrónico (eWOM). Este estudio tiene como objetivo a) investigar el impacto de la calidad percibida por los huéspedes del hotel en sus emociones positivas, emociones negativas, valor percibido y satisfacción; b) verificar el impacto del precio en el valor percibido y la satisfacción; c) examinar el impacto de la satisfacción en el WOM y eWOM; d) probar el efecto moderador del compromiso conductual de los huéspedes del hotel en las redes sociales (HGBE-SNS) en la relación entre satisfacción y eWOM.

En esta encuesta participaron 371 huéspedes que evaluaron sus experiencias en tres hoteles brasileños. La modelización de ecuaciones estructurales puso a prueba el modelo hipotético apoyado en la teoría estímulo-organismo-respuesta (S-O-R) (Mehrabian y Russell, 1974).

La calidad percibida por los clientes del hotel (estímulo) influye positivamente en el valor percibido, las emociones positivas y la satisfacción, y negativamente en las emociones negativas (organismo). El precio (estímulo) afecta negativamente al valor percibido, pero no a la satisfacción. El valor percibido afecta positivamente a la satisfacción. La satisfacción afecta positivamente al WOM y al eWOM (respuestas). El HGBE-SNS modera la relación entre satisfacción y eWOM.

Este estudio es el primero que demuestra simultáneamente las relaciones entre calidad percibida, precio, valor percibido, emociones positivas y negativas, satisfacción, WOM, eWOM y HGBE-SNS. Los hoteles deben ofrecer a sus clientes servicios de alta calidad para influir positivamente en el valor percibido, las emociones positivas, la satisfacción y el WOM. Los precios bajos aumentan el valor percibido pero no incrementan directamente la satisfacción de los huéspedes. Los huéspedes satisfechos comparten sus experiencias a través del WOM, pero un alto nivel de HGBE-SNS es crucial para impulsar el eWOM.

酒店提供高质量的宾客体验, 对宾客的情绪、满意度、感知价值、口碑（WOM）和电子口碑（eWOM）产生积极影响。本研究旨在 a) 调查酒店客人感知到的质量对其积极情绪、消极情绪、感知价值和满意度的影响; b) 验证价格对感知价值和满意度的影响; c) 检验满意度对 WOM 和电子口碑的影响; d) 检验酒店客人在社交网站上的行为参与（HGBE-SNS）对满意度和电子口碑之间关系的调节作用。

本次调查包括 371 位客人, 他们对自己在巴西三家酒店的入住体验进行了评估。结构方程模型检验了由刺激-组织-反应（S-O-R）理论（Mehrabian 和 Russell, 1974 年）支持的假设模型。

酒店客人感知到的质量（刺激因素）对感知价值、积极情绪和满意度有积极影响, 而对消极情绪（有机体）有消极影响。价格（刺激因素）对感知价值有负面影响, 但不影响满意度。感知价值对满意度有积极影响。满意度对 WOM 和 eWOM（反应）产生积极影响。HGBE-SNS 可调节满意度与网络口碑之间的关系。

本研究首次同时展示了感知质量、价格、感知价值、积极和消极情绪、满意度、WOM、eWOM 和 HGBE-SNS 之间的关系。酒店必须为客人提供高质量的服务, 才能对 “感知价值"、"积极情绪"、"满意度 “和 “WOM “产生积极影响。低价会提升感知价值, 但不会直接提高客人满意度。满意的酒店客人会通过 WOM 分享他们的体验, 但高 HGBE-SNS 对促进 eWOM 至关重要。

The objective of this article is to analyze the relationship between absorptive capacity, entrepreneurial orientation, and performance within Brazilian federal state-owned companies.

Primary data were obtained using survey research. Secondary data were obtained using the Federal State-owned Companies Bulletin and the website State-owned Companies Overview. Tested and validated scales were selected to reflect Absorptive Capacity (ACAP), Entrepreneurial Orientation (EO), and Organizational Performance (OP) variables applied to a sample of 119 managers and advisors of federal state-owned companies. Structural Equation Modeling techniques were applied to identify the statistical significance of the direct, indirect, and total effects. The final measurement and structural model presented convergent and discriminant validity with acceptable adjustment indexes.

ACAP was found to be directly related to the ability to identify, recognize, transform, and especially implement new knowledge. EO is related to the institution’s ability to take risks, be proactive, and innovate. Those are fundamental processes for fulfilling the mission of state-owned companies, for their survival, and for improving the quality of public services provided to society. These findings differ from studies carried out in private companies since the ACAP-exploration dimension in private businesses displays a relevant relationship between the factors composing EO, a feature not observed here.

The paper’s main contribution is to confirm the influence of ACAP on EO and EO on OP, considering the environment of Brazilian federal state-owned companies. Such results expand the scarce academic studies on absorptive capacity, entrepreneurial orientation, and performance in the public area, in addition to offering perspectives of specific training direction to expand the competencies of public managers.

This study aims to identify comfort food (CF) consumption and its associated factors during the pandemic period. The study also involves an online survey conducted five months after the quarantine started in Brazil.

Data on lifestyle, eating habits and anthropometric data were collected before and during the pandemic, and the differences in these habits were analyzed. Univariate and multivariate logistic regression models were performed to identify predictors of CF consumption by gender.

A total of 1,363 individuals were included in the sample, with a median age of 31 years old, of whom 80.3% were women. Since individuals were free to respond about the food consumed without predetermined categories, it was possible to carry out a faithful assessment of the occurrence of this behavior. At the same time, allowing the subjectivity and symbolism inherent to the concept of CF to be embraced. CF consumption was present for 54%, with “sweets” being the most mentioned group by both genders. The factors associated with CF consumption in women during the pandemic were increased snacking, increased bread, candies and alcoholic beverage intake, increased time spent at work, worsened sleep quality, reduced meals, perceived stress (PS), emotional eating (EE), age and increased frequency of meat intake. In men, the predictors for CF consumption were remote full-time work/study, PS, EE and early waking time. For both genders, CF consumption during the pandemic period was associated with PS and EE.

This study provides an important overview of the possible contributions of the pandemic on behaviors and food choices related to the consumption of CF in Brazilians. This information is valuable to support further studies to investigate and treat the impacts of the pandemic on lifestyle, eating habits and behavior, mental health and other factors in the postpandemic period.

This study aims to investigate the regulatory challenges of emerging disruptive Information and Communication Technologies (ICT) in Brazil and the strategies regulators use to address them.

It is an empirical qualitative research on Brazil’s three administrative levels, focusing on the legislative houses’ specialised Science and Technology Committees. It combines archival analysis of public meeting records with elite interviews of parliamentarians and technocrats who participated in Public Hearings in 2019, which results in this paper analysed through the Theory of Communicative Action with a critical stance.

The research reveals that regulatory challenges gain new dimensions by involving discussions about emerging ICT. Factors such as time constraints, rapid technological evolution and widespread adoption compound these challenges, straining the preference for the incremental pace of regulation and the traditional model of specialised regulatory agencies. The research captures some regulators’ values, underlying concerns and perceived necessities for surmounting these challenges. It also outlines the preferred process for ICT regulation, revealing parliamentary assistants and executive intermediate-level specialists as gateways for interest groups’ action.

The study's findings highlight the crucial role of specific actors as gateways to the covert action of interest groups, particularly Big Tech firms. This contribution is significant as it empowers civil society and academia to monitor and mitigate the risk of regulatory capture, thereby promoting a more transparent and equitable regulatory environment.

This research is original in directly engaging with the key figures (lawmakers, legislative assistants and specialised bureaucrats) involved in the critical and timely issue of regulating emerging disruptive technologies.

In this article, the research objective is to empirically investigate the effect of the adoption of the Brazilian instant payment system, Pix, on the local credit market structure and the diversification of the banking system in Brazilian municipalities.

By analyzing the data, in this study, we compile and align data from supervisory and public sources, covering the period from 2019 to 2022 in Brazil. As of 2014, Brazil was comprised of 5568 municipalities distributed across five regions: North (450 municipalities), Northeast (1792), Midwest (467), Southeast (1668) and South (1191), according to the Brazilian Institute of Geography and Statistics (IBGE). Our analysis relies on the volume and quantity of Pix to the outstanding credit operations in Brazil.

This article provides evidence that the widespread adoption of Pix has impacted the financial structure of municipalities. This analysis of banking concentration in the country and municipalities, based on banking relationships, helped us assess whether the adoption of Pix had any correlation with the increase in credit lines. Overall, the results from the statistical tables suggest that the adoption of Pix may be having a positive impact on the local credit market structure.

The originality contribution of the study is to initiate an investigation into the impact of this instant payment system, Pix, on the Brazilian reality. Pix was launched in 2020, amid the COVID-19 pandemic, and had significant numbers, such as over 61% of the adult population having at least one Pix key registered in a little over a year; about 100 million people made at least one payment with Pix; and more than 1.4 billion transactions per month, with 72% between individuals, as presented by the REB 2021.