The aim of this study was to analyse the effect of an intervention program, based on nonlinear pedagogy, on the decisionmaking and execution of different actions in futsal. The intervention program consisted of 12 training sessions. A quasiexperimental study was developed with eight male futsal players (M¼15.375, SD¼0.517). The GPET instrument was used to analyse the decision-making and execution of 3442 actions measured during competitive matches (pass, dribbling and shooting). Both variables were analysed with regard to the three tactical principles of attack: keep the ball possession, progression towards the goal and shooting at goal with the lowest level of opposition. With respect to the pass, results showed significantly higher values in decision-making and execution in the first and second principles, but not in the third one. In the dribbling action, results showed significantly higher values in decision-making in the second and third principle, but not in the first one. However, no significant differences were found in the shooting actions. These findings suggest that coaches should take into account in the task design, the tactical principles of play to develop tactical behaviour of youth futsal players.

This study aims to identify and prioritize the stakeholders involved in making decisions in a sports organization. A multiple linear regression analysis was used to assess the influence of the attributes of power, legitimacy and urgency on the salience of the various stakeholders. The results showed a convergence of external and internal decision makers’ perceptions, concerning the three main stakeholder groups: top management, sponsors and member association. Pearson correlations identified four types of stakeholder: definitive, dangerous, demanding and non-stakeholders. A generalized differentiation was also found in stakeholder classification, regarding evaluation of attributes, between external and internal decision makers. In addition, the study suggests the success of organizations’ management will depend on correct identification of stakeholders and consequent assessment of their relevance, in order to highlight who should get priority, and how, in strategic decision making.

In an increasingly competitive society with an unfavourable economic environment, it is necessary for Small and Medium Enterprises (SMEs) to update themselves, thereby increasing their efficiency. Companies increasingly use computational tools to support the development of predictive scenarios in order to facilitate decision-making. However, the tools developed for SMEs are not always expedite and simple to use. The tool presented in this article intends to support the management of energy sources used by agro-industrial companies. It aims to facilitate and promote the implementation of a new culture of business management, in this sector so important at national level. The computational part is directed to support the decision-making on the selection of fossil or renewable energy sources to be used in a particular agroindustry, by presenting the average values of the energy consumption, cost and emissions associated with each selected energy source.

Nowadays, concerns about rising emissions and climate change have raised the issue of decarbonization. Several approaches have been promoted in the aeronautical sector to reduce CO2 emissions. The present work provides quantitative data to support decision-making for the first pillar of International Air Transport Association (IATA) strategy to mitigate aviation climate impact. This strategy comprises improving aircraft technology and deploying sustainable low-carbon fuels. The most promising technologies for an imminent application are new engine architecture and natural laminar flow. On the other hand, efforts have been put to produce Sustainable Aviation Fuel (SAF) reaching the point where some methods for the production of alternative jet fuel are already approved by ASTM. Therefore, the present work quantifies the future reduction of CO2 emissions by 2050 in the aeronautical sector with these strategies. For this purpose, two methodologies are used, a numerical model to calculate fuel consumption and CO2 emissions from the global air transport fleet. For the SAF analysis, it is developed an approach that considers, besides the SAF production, the feedstocks, and the production pathway. Two cases and three scenarios represent the technological improvements and quantify the effects of new aircraft concepts and technologies on future CO2 emissions. For the SAF analysis, four scenarios and two conditions assess the different production capacities and feedstocks. The combined effect of technologies with SAF is considered verifying if the goals proposed by IATA, carbon-neutral growth from 2020, and a reduction of 50% in net emissions by 2050 compared to 2005 levels are achieved. The assessment results reveal that the goals cannot be met only with the combined action of imminent aircraft technologies and the use of alternative fuels. Carbon-neutral growth is only reached when it is considered the combined effect of technologies with the scenario where the amount of SAF introduced is higher (an increase of 15% annually between 2030 and 2050). However, this carbon-neutral growth is only possible to start in 2040. Imminent aircraft technologies can reduce up to 15% in CO2 emissions when compared to the Business as Usual scenario. The different feedstocks used in each process to produce SAF do not have a considerable impact on reducing CO2 emissions, the maximum difference registered between each condition was 1.47%.

The present study adopts a game theory approach analyzing land-use planning in Zagros forests, Iran. A Static Game of Incomplete Information (SGII) was applied to the evaluation of participatory forest management in the study area. This tool allows a complete assessment of sustainable forest planning producing two modeling scenarios based on (i) high and (ii) low social acceptance. According to the SGII results, the Nash Bayesian Equilibrium (NBE) strategy suggests the importance of landscape protection in forest management. The results of the NBE analytical strategy show that landscape protection with barbed wires is the most used strategy in local forest management. The response to the local community includes cooperation in conditions of high social acceptance and noncooperation in conditions of low social acceptance. Overall, social acceptance is an adaptive goal in forest management plans.

Bank customer loyalty is becoming a priority concern for banking institutions, as a means of gradually increasing complementary margins and eliminating the lack of liquidity caused by the current economic climate. Following a top down process, this focus culminates at the branch level, where banks’ front office employees are seen as a driving-force for building customer loyalty. At the same time, however, the difficulty in identifying and operationalizing the factors or determinants that most contribute to creating and maintaining bank customer loyalty has long been recognized. In this sense, based on the integrated use of cognitive maps and measuring attractiveness by a categorical based evaluation technique (MACBETH), this study proposes a multiple criteria framework for bank customer loyalty measurement and management. The results show that our framework allows bank customers with higher rates of customer loyalty to be identified and, from a benchmarking perspective, indicates what best practices should be followed to boost long-term relationships. Implications for scholars and practitioners are discussed.

Claimed by the Harvard Business Review as one of the main innovations of recent decades in management systems, the Balanced Scorecard (BSC) has been widely studied and applied in different management contexts. However, despite recent progress and its undeniable merit, the BSC has its own shortcomings. As reported in the literature, it seems generally agreed that the way compensations between criteria within a BSC framework are calculated remains an open issue. Thus, one of the contributions of this study is to augment the theoretical discussion on the potentialities of the multiple criteria decision analysis (MCDA) approach to bring simplicity and transparency to the calculation of compensations (i.e. trade-offs) among evaluation criteria within a BSC framework. It seems important to underline that this paper builds on previous work and is not empirical research. However, it aims to extend the discussion to other (new) measurement contexts. We believe that the development and promotion of the integrated use of MCDA tools in BSC applications to measure trade-offs among evaluation criteria in the BSC framework can be a key factor in ensuring more successful implementations and uses of the BSC within firms.

Os Sistemas de Informação Geográfica são uma ferramenta essencial na abordagem a diversas operações de análise, cujos resultados permitem questionar as escolhas culturais num determinado espaço agrícola. A manipulação e análise de qualquer entidade, com posicionamento geográfico bem definido, permitirão a construção de superfícies que serão fundamentais no cruzamento da informação. A interpretação das análises realizadas potenciará o conhecimento, permitindo tomadas de decisão mais conscientes e ponderadas. O objetivo deste trabalho é contribuir para o sucesso da implementação das culturas, demonstrando que o facto de se selecionar um conjunto de fatores (relevo, declive e exposição) pode condicionar ou influenciar positivamente a produtividade e a gestão de uma cultura. Para atingir este objetivo, foram geradas para a parcela agrícola estudada, superfícies como o modelo digital do terreno, cartas de declives e de exposições através das ferramentas disponíveis no software ArcGISTM . Como resultados, obtiveram-se mapas que mostraram as zonas que cumpriram os requisitos identificados como primordiais na instalação de uma cultura.

Risk analysis of residential real estate investments requires careful analysis of certain variables (or determinants). Because real estate is a key sector for economic and social development, this risk analysis is seen as critical in supporting decision processes relating to buying or selling residential properties, partly due to the pressures caused by the current economic environment. This study aims to develop a conceptual reference model for risk assessment of residential real estate using fuzzy cognitive mapping. This fuzzy model allows cause-and-effect relationships between determinants to be identified and better understood, which in turn allows for better informed investment decisions. The results show that the use of cognitive maps reduces the number of omitted criteria and favors learning with regard to how the criteria relate to each other, holding great potential and versatility in structuring complex decision problems. Practical implications, strengths and weaknesses of our proposal are discussed.

Data Science applied to Marketing has been a research interest due to competitive advantages in business. We have applied a systematic literature review between 2010 and 2020, reaching a total of 19 valid articles. After a deeper segmentation, 13 articles were selected for inclusion in the review comprising the period 2013-2020. On scientific production, the topic Data Science Applied to Marketing, in 2020, has a new subject of interest. The number of citations has been growing since 2015 and the findings revealed that marketing is recurring of a variety of data science methods, from micro-segmentation and realtime application to natural language processing. The impact is evident in digital advertising, micro-segmentation and micro-targeting, speed and performance, and real-time experimentation. The use cases of data analytics in marketing have used four methods with the highest potential to impact marketing approaches: Internet-of-Things, big data, artificial intelligence, and machine learning.