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The purpose of this study is to present a general review that provides an overview of the concept of sustainability and the effectiveness of mathematics curricula in courses where deeper work on economic and environmental sustainability has become central.

A qualitative methodology consisting of a review based on a pre-defined systematic method was used to exhaustively search and identify the most relevant answers to the research question: What is the role of mathematics to sustainability? To facilitate answering such a broad question, several concrete questions were formulated. Answers from published and unpublished documents were analysed. The quality of the extracted data was assessed, and the results were synthesized.

It was concluded that, on the one hand, the discipline of mathematics has much to contribute to solving the problems of sustainability; on the other hand, new mathematics is appearing stimulated by new challenges.

This work presents social implications in an innovative way. It allows for an increase in educational sustainability by bringing the academic community closer to the business world and the challenges of society and, furthermore, by having a major impact on the motivation of teachers and students to develop cooperative work within university institutions.

The originality is based on an a priori analysis for the construction and implementation of didactic tools for university teacher training in the area of mathematics within the framework of sustainable development, both economically and environmentally.

Concept maps have been described as a valuable tool for exploring curriculum knowledge. However, less attention has been given to the use of them to visualise contested and tacit knowledge, i.e. the values and perceptions of teachers that underpin their practice. This paper aims to explore the use of concept mapping to uncover academics’ views and help them articulate their perspectives within the framework provided by the concepts of pedagogic frailty and resilience in a collaborative environment.

Participants were a group of five colleagues within a Biochemical Science Department, working on the development of a new undergraduate curriculum. A qualitative single-case study was conducted to get some insights on how concept mapping might scaffold each step of the collaborative process. They answered the online questionnaire; their answers were “translated” into an initial expert-constructed concept map, which was offered as a starting point to articulate their views during a group session, resulting in a consensus map.

Engaging with the questionnaire was useful for providing the participants with an example of an “excellent” map, sensitising them to the core concepts and the possible links between them, without imposing a high level of cognitive load. This fostered dialogue of complex ideas, introducing the potential benefits of consensus maps in team-based projects.

An online questionnaire may facilitate the application of the pedagogic frailty model for academic development by scaling up the mapping process. The map-mediated facilitation of dialogue within teams of academics may facilitate faculty development by making explicit the underpinning values held by team members.

The purpose of this paper is to examine the relationship between hybrid HR systems in call centers and their effect on workers' performance.

Drawing on a sample of 337 call center operator-supervisor dyads, the authors analyzed how the joint perceptions of monitoring and high-performance work systems (HPWS) are associated with workers' authenticity to explain performance, rated by supervisors.

The authors found that when monitoring is perceived as low, HPWS is not associated with authenticity, suggesting that it requires the joint effect of monitoring and HPWS to communicate HR management priorities in call centers. In addition, the authors found that high ratings of monitoring combined with low perceptions of HPWS were associated with the lowest levels of authenticity, whereas the highest levels of authenticity at work were found when high monitoring was combined with high HPWS. The results supported a conditional indirect effect through authenticity to explain when and how hybrid HR systems are associated with better supervisor-rated performance.

This is the first study to test the interaction effects between HPWS and monitoring practices to explain authenticity as a key strategic component of performance in call centers.

This paper aims to explore brain-based differences in national and own-label brands perceptions. Because price is a differentiating characteristic, able to discriminate between national and own-label brands, its influence is also studied.

The study uses the Save Holdings Or Purchase (SHOP) task with functional magnetic resonance imaging to explore the differences in brain functioning for national versus own-label branded products.

For the same product, the higher priced national brands and the lower priced own-label brands lead to more buying decisions. It is also found that there are brain structures that are more active/deactive for national than for own-label brands, both marked with real market prices. Price is a powerful driver of buying decisions and has its neural correlates. Parietal regions activate when brand information is subtracted from brand-plus-price information. The most surprising finding is that visual and visual associative areas are involved in the contrasts between branded products marked with switched prices and marked with real market prices.

The activation/deactivation brain patterns suggest that accepted models of brain functioning are not suitable for explaining brand decisions. Also, to our knowledge, this is the first time that a study directly addresses the brain’s functioning when subjects are stimulated with national versus own-label brands. It paves the way for a new approach to understanding how such brand categories are perceived, revealing the neural origins of the associated psychological processes.

The purpose of this study is to validate a novel model of resting hand splint manufactured by additive manufacturing (AM) and compare it with the traditional model manufactured by high temperature thermoplastic in terms of cost, weight, volume and thermal comfort.

A novel resting hand splint model was created from the topology optimization (TO) and analyzed, by finite-element analysis, manufacturing cost and weight, with a traditional resting hand splint. A pilot clinical study was carried out to verify heat diffusion during the use of the two splints.

The results showed that compared with the traditional model, the novel model reduced the volume of material used by 35.48%, the weight of the orthosis by 17.56% and the maximum surface deformation by 171.17% when subjected to actuation forces. It was also verified that, when manufactured with Nylon by AM, the new model is 1.5 times cheaper than the traditional model made of Polypropylene. The result of the thermographic analysis showed greater temperature variation in the use of the traditional splint (+4.6°C) compared to the temperature variation observed in the nylon splint (2.1°C).

These results have as clinical relevance the demonstration of the feasibility of manufacturing functional orthoses that are more comfortable, cheaper and lighter than traditional ones.

This study describes the use of TO to manufacture a novel resting hand splint, which was compared with the commonly used traditional splint in terms of mechanical resistance, weight, cost and thermal comfort.

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.

Social network sites are key marketing tools that allow brands to connect and engage with consumers. However, there is still a lack of evidence of their value for football brands. This research aims to understand the motivations for fans to engage with their favourite football brands on Facebook and Instagram.

An online survey was performed, resulting in 214 valid responses. As the social media strategy followed by the football brand analysed was built around games, the authors divided fans into two groups based on the main method in which the club's games are watched: in stadium versus mediated. Multiple linear regression analysis was used to explore the relationship between motivations and fans' engagement, through content consumption and contribution, on Facebook and Instagram. Analysis was performed first with the whole sample and then by group (stadium attendance vs mediated attendance fans).

The findings show that social influence, entertainment, searching for information and rewards are the most relevant motivations for consumers to engage with brand-related content on Facebook. Entertainment, rewards and social influence are the main motivations influencing consumer interactions on Instagram. Group moderation was only confirmed in the impact of social influence on Facebook page content consumption.

The results provide valuable insights into the social media marketing activities of sports brands, which will assist brand managers to develop strategies for effectively stimulating engagement with the different groups of fans.

The purpose of this paper is to examine the development cycle of Brazilian banking sector during the lengthy period between 1889 and 2009, also identifying an equilibrium number of financial institutions based on the carrying capacity of the environment.

The number of institutions in equilibrium is calculated based on the population density dependence model adopted under the organizational ecology theory. Quantitative data of founding and failure and qualitative data (interviews with the directors, officers and chief executive officers (CEOs) of selected companies) were used.

In all three bank segments (commercial, investment and multiple), the total number of banks in operation on December 31, 2009 was below the carrying capacity. However, in the multiple bank segment, the gap between the actual and potential figures is slightly smaller. As indicated by the respondents, there is almost no room for newcomers in the major bank segments. In counterpart, there is still space for new arrivals in the mid-market bank sector.

The findings presented here may change, as carrying capacity is determined by political, legal and economic factors, including the availability of resources in niches and constraints imposed through laws, rules and other regulatory aspects. However, raising the life cycle of the entire population offers opportunities for future research on individual organizational trajectories, using new theoretical and methodological perspectives, such as dynamic capabilities and process theory.

The main contribution of this paper lies in indicating the growth potential for banking institution populations in Brazil, and may be used not only by potential newcomers eager to enter the sector, but also as a tool for assessing anti-trust policies.

The development cycle of Brazilian financial institution populations is unknown, and carrying capacity is a construct less explored by academic literature, particularly in Brazil. This is a unique study since a demography of an entire banking population in a developing country does not exist, besides there is not such a financial institution like the multiple bank in Brazil.

The development of models that allows the evaluation and prediction of erosion processes is an important tool for the management and planning of coastal systems. Mangrove forests systems are under threat by the impacts of erosion, which is also intensified by human activity (and aggravated in the scenarios of global warming and climate change). The purpose of this paper is to develop a model of geographic information systems (GIS) that can be used for any estuary area, but it can also be used for mangroves.

This paper uses georeferentiation which is defined as a set of parameters that best characterize the mangrove areas: elevation (m); geomorphology; geology; land cover; anthropogenic activities; distance to the coastline (m) and maximum tidal range (m). Three different methods are used to combine the various vulnerability parameters, namely, DRASTIC index, analytical hierarchy process (AHP) and square root of the geometric mean.

The three approaches presented in this work show different types evaluating vulnerability to erosion, highlighting a stronger overvaluation of the areas presented with a high vulnerability, through the use of DRASTIC index when compared with two other approaches. The use of the AHP shows similarity to the square root of the geometric mean model, but the AHP also presents a higher percentage of vulnerable areas classified as having medium to very high vulnerability. On the other hand, the use of square root of the geometric mean led to a higher percentage of areas classified as having low and very low vulnerability.

These three qualitative models, based on a cognitive approach, using the set of parameters defined in this research, are a good tool for the spatial distribution of erosion in different mangroves in the world.

Global warming and climate change scenarios require adaptation and mitigation options supported by science-based strategies and solutions.