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The purpose of the study is to compare methodologies for mapping a historic building, with image capture by smartphones and drones, using photogrammetric techniques for three-dimensional (3D) modeling of the structure. Processes and products are also analyzed, as well as possibilities for storing and visualizing data for structuring a cadastre of historical and artistic heritage are studied.

For mapping with smartphones, the overlapping of photographs was guaranteed, with data acquisition using three different cameras, on the same date as the aerial survey. The models were made from different combinations of camera use. For storage, a conceptual model based on ISO 19.152:2012 is proposed, which was implemented in the MongoDB, resulting in a database for storage. The visualization was carried out on the Cesium ion platform.

The results indicate that the terrestrial 3D reconstruction using smartphones is an efficient alternative to the historical and artistic cadastre, presenting texture quality superior to the aerial survey in a shorter production time. When dealing with the conceptual model, the LADM (Land Administration Domain Model) standardization guarantees interoperability and facilitates data exchange. In addition, it proved to be flexible for the creation of thematic profiles, supporting their effective storage. The insertion of data in the visualization platform was simple and effective, and it even generated sharing links for visualization of the models.

The study analyses a low-cost method with the use of easily accessible devices, with a combination of methodologies and applied techniques. The data storage and visualization method is also simple and flexible, suitable for application in the cadastre of historical heritage.

This study aims to identify the impact of restaurant pandemic mitigation measures on perceived service quality.

A total of 15,251 reviews were collected from 300 TripAdvisor Lisbon restaurant Web pages between March 2020 and December 2021, when Covid-19 contingency measures were in place. Grounded on the online reviews, a word frequency matrix was created and used as input on partial least squares–structural equation modeling to test the proposed hypotheses.

The results suggest that precaution measures, such as the Vaccination Certificate, negative tests and restaurant layout configuration, positively influenced perceived service quality and consumer satisfaction, moderated by consumers’ beliefs.

This study provides relevant information for restaurant managers, which will help them implement strategies to guarantee service quality, consumer satisfaction and revisit intentions in future pandemic scenarios.

Adverse events in health care became more evident at the beginning of the 21st century, being an emerging problem worldwide and impacting the lives of people receiving health care, contributing to preventable injuries and deaths. This evidence has motivated the development of specific training in the area of patient safety with a strong focus on the education and training of health professionals, and, more recently, it also aimed at patient, informal caregiver and all citizens. In this sense, the use of digital technology for patient safety training has been an important challenge and proves to be a good solution for training and continuous learning, both for professionals and people in general. The use of multimedia, videos, games, simulators, among others, are effectively essential resources to improve people’s health literacy and safety of care.

This chapter presents a narrative review on patient safety training and the contributions of digital technology. The experience report will also be used, presenting some examples of quality improvement projects developed by Portuguese and Brazilian entities, in training contexts, highlighting the importance of investing in the health literacy of professionals, patients/informal caregivers and civil society, through applying specific techniques and using digital technology.

This study aims to map the conceptual structure and evolution of the recent scientific literature published in marketing journals to identify the areas of interest and potential future research directions.

The 100 most influential marketing academic papers published between 2018 and 2022 were identified and scrutinized through a bibliometric analysis.

The findings further upheld the critical role of emerging technologies such as Blockchain in marketing and identified artificial intelligence and live streaming as emerging trends, reinforcing the importance of data-driven marketing in the discipline.

The data collection included only the 100 most cited documents between 2018 and 2022, and data were limited only to Scopus database and restrained to the Scopus-indexed marketing journals. Moreover, documents were selected based on the number of citations. Nevertheless, the data set may still provide significant insight into the marketing field.

Influential authors, papers and journals identified in this study will facilitate future literature searches and scientific dissemination in the field. This study makes an essential contribution to the marketing literature by identifying hot topics and suggesting future research themes. Also, the important role of emerging technologies and the shift of marketing toward a more data-driven approach will have significant practical implications for marketers.

To the best of the authors’ knowledge, this is the first comprehensive study offering a general overview of the leading trends and researchers in marketing state-of-the-art research.

The use of insects as food is a proposed solution for the increased demand for food worldwide, but it lacks acceptance because of restrictive emotional factors. This article aims to understand better customers' emotions’ role in considering and consuming insect-based food.

To assess their acceptance, an experiment was developed with 38 participants living in Portugal to identify how people feel when consuming processed insect bars compared to cereal bars (of equal flavour). A video was recorded “before”, “during” and “after” the consumption of such foods, and the triggered emotions and affective states were identified using the Facial Action Coding System (FACS) and the circumplex model of affect, respectively. After consumption, the Self-Assessment Manikin (SAM) was asked to be completed.

It was observed that the valence and arousal of the emotions and affective states triggered during consumption were higher in the insect bar than in the cereal bar. Its consumption resulted in surprise and a positive evaluation. Processed insect-based foods may result in a potentially increased acceptance of this new food alternative in the market.

Prior studies briefly identified disgust as a primary emotion activated by insect-based food. The current research deeply studied emotional responses to insect-based processed foods in the Western world using the dimensional emotional models. This study offers arguments for the insect-based food industry to invest in processed food justified by its potential for acceptance. In addition, it motivates further research focused on other insect-based products (e.g. non-processed ones).

Evaluating existing literature can lead to a better understanding of a scientific journal's state of the art. In this sense, this study aims to analyze the global research evolution of the Revista Europea de Dirección y Economia de la Empresa (REDEE) and the European Journal of Management and Business Economics (EJMBE).

A bibliometric analysis was conducted to acknowledge the most contributing authors, impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks. A total of 454 articles published between 2006 and 2022 were analyzed.

The results suggest that the international strategy set in 2014 has resulted in a steadily growing number of publications and a significant increment in citations. Relationship marketing and the connections between innovation, performance and entrepreneurship are topics of interest for the EJMBE.

Mapping existing EJMBE research through identifying the contributing authors, most impactful articles, publication trends, keyword analysis, co-occurrence networks and collaboration networks is missing to encourage new research projects.

This study aims to identify the effect of soft skills as a driver of audit quality and their moderating role in the relationship between stress and the propensity for auditors to engage in reduced audit quality practices (RAQP).

This study uses a sample of 130 auditors, whose data were collected through an electronic questionnaire. The results were derived from the partial least squares-structural equation modelling method.

The findings show that the propensity to incur RAQP increases when auditors are under job stressors but decreases when individuals have resilience and time management skills. Moreover, the results suggest that the moderating effect of these two soft skills can effectively reduce the auditors’ propensity to engage in dysfunctional actions and judgments in auditing. Emotional intelligence and self-efficacy skills are shown not to affect RAQP.

This study adds to previous research on auditors’ drivers for supplying audit quality, by providing evidence of auditor characteristics as a critical input to audit quality. The results emphasize the importance of researchers including in models the moderating effect of soft skills on the relationship between audit quality and determinants associated with audit firms, clients or the regulatory framework.

The hospitality industry values segmentation and loyalty programs (LPs), but there is limited research on new methods for segmenting loyalty program members, so managers often rely on conventional techniques. This study aims to use big data-driven segmentation methods to cluster customers and provide a new solution for customer segmentation in hotel LPs.

Using the k-means algorithm, this study examined 498,655 profiles of guests enrolled in a multinational hotel chain’s loyalty program. The objective was to cluster guests according to their consumption behavior and monetary value and compare data-driven segments based on brand preferences, demographic data and monetary value with loyalty program tiers.

This study shows that current tier-based LPs lack features to improve customer segmentation, and some high-tier members generate less revenue than low-tier members. Therefore, more attention should be given to truly valuable customers.

Hotels can segment LP members to develop targeted campaigns and uncover new insights. This will help to transform LPs to make them more valuable and profitable and use differentiated rewards and strategies.

As not all guests or hotel brands benefit equally from LPs, additional segmentation is required to suit varying guest behaviors. Hotel managers can use data mining techniques to develop more efficient and valuable LPs with personalized strategies and rewards.

This paper aims to present a situation that Brazil is coming to terms with the creation of football companies. The solution is to sell football clubs to investors that can solve any inherited financial crisis and provide the players the clubs need to improve the situation. As clubs are now managed by investors, board members, society and supporters have almost no information about how the clubs are being managed. The authors’ recommendation is that besides the need for a transformation in management, there is also an urgent need for professionalisation and government regulation of the process (Andon and Free, 2019).

The authors’ comments are based on documents, laws and newspaper news.

The results are engaging with the clubs achieving results in the short term, supporting fans returning to stadiums and the possibility of more investors becoming shareholders of football clubs.

This study is the first academic exercise of meditation about the process of turning Brazilian football clubs into anonymous societies.

The purpose of this study is to numerically investigate the geometric influence of different corrugation profiles (rectangular, trapezoidal and triangular) of varying heights on the flow and the natural convection heat transfer process over isothermal plates.

This work is an extension and finalization of previous studies of the leading author. The numerical methodology was proposed and experimentally validated in previous studies. Using OpenFOAM® and other free and open-source numerical-computational tools, three-dimensional numerical models were built to simulate the flow and the natural convection heat transfer process over isothermal corrugation plates with variable and constant heights.

The influence of different geometric arrangements of corrugated plates on the flow and natural convection heat transfer over isothermal plates is investigated. The influence of the height ratio parameter, as well as the resulting concave and convex profiles, on the parameters average Nusselt number, corrected average Nusselt number and convective thermal efficiency gain, is analyzed. It is shown that the total convective heat transfer and the convective thermal efficiency gain increase with the increase of the height ratio. The numerical results confirm previous findings about the predominant effects on the predominant impact of increasing the heat transfer area on the thermal efficiency gain in corrugated surfaces, in contrast to the adverse effects caused on the flow. In corrugations with heights resulting in concave profiles, the geometry with triangular corrugations presented the highest total convection heat transfer, followed by trapezoidal and rectangular. For arrangements with the same area, it was demonstrated that corrugations of constant and variable height are approximately equivalent in terms of natural convection heat transfer.

The results allowed a better understanding of the flow characteristics and the natural convection heat transfer process over isothermal plates with corrugations of variable height. The advantages of the surfaces studied in terms of increasing convective thermal efficiency were demonstrated, with the potential to be used in cooling systems exclusively by natural convection (or with reduced dependence on forced convection cooling systems), including in technological applications of microelectronics, robotics, internet of things (IoT), artificial intelligence, information technology, industry 4.0, etc.

To the best of the authors’ knowledge, the results presented are new in the scientific literature. Unlike previous studies conducted by the leading author, this analysis specifically analyzed the natural convection phenomenon over plates with variable-height corrugations. The obtained results will contribute to projects to improve and optimize natural convection cooling systems.