Patterns of production and sustainability of cattle ranching in the state of Pará - Brazilian Amazon

The aim of this study was to analyze the production patterns present in rural properties producing cattle in the micro-regions that make up the state of Pará. Exploratory Factor Analysis (EFA) was applied to identify the patterns, and these data are used to evaluate correlation between the heterogeneity of rural properties and the environmental impact on the identified patterns. The theoretical contribution is based on discussions on global impacts of food production and environmental sustainability and the impacts of livestock production systems in Brazil and the Amazon. Survey data were taken from the 2017 Agricultural Census, available for the 144 municipalities in the state, and pooled into 22 micro-regions. Three patterns of rural properties were identified: the first related to conservation management practices and called transition management; the second highlights aspects associated with information technology and communication (ICT) and productivity called technical productive efficiency; the third indicates the importance of social organization and access to information called social participation. With these patterns, it was possible to develop the Traditional Performance Indicator (TPI), in which the micro-regions of São Félix do Xingu, Itaituba and Conceição do Araguaia were those with the highest values of this indicator, water protection practices are present in the properties, however, in precarious conditions, and conservation practices are rarely used. The correlation between heterogeneity, measured by the size of pasture area in each microregion, and the TPI is positive, strong and significant. In this transition context, public policies are essential to provide access to infrastructure, credit and good animal health and biotechnology practices

The link between HRD professionals’ social capital and career adaptability: a moderated mediation analysis of social network

Purpose From a social capital perspective, this study aims to shed light on the link between social capital and career adaptability by focusing on how social connections and interactions shape and nurture career adaptability. Drawing on socioemotional selectivity theory, the authors further examined the critical moderating role of age on the above relationship. Design/methodology/approach Survey responses from 208 HRD professionals were analyzed via a moderated mediation analysis. Findings The results showed that there is a positive relationship between social capital (network size and intimate network) and career adaptability; frequent interaction increases intimacy, in turn enhancing career adaptability; and the indirect effect of social capital on career adaptability (via intimate network) is stronger when the employee is younger. Originality/value The most novel theoretical contribution of this study is that the authors lend empirical support to the connection between social capital and career adaptability moderated by age. The study also contributes to understanding how core aspects of social capital are inter-related each other and have directional relationships.

Compressive Rheological Behavior and Microstructure Evolution of a Semi-Solid CuSn10P1 Alloy at Medium Temperature and Low Strain

Copper–tin alloys are widely used in the machining and molding of sleeves, bearings, bearing housings, gears, etc. They are a material used in heavy-duty, high-speed and high-temperature situations and subject to strong friction conditions due to their high strength, high modulus of elasticity, low coefficient of friction and good wear and corrosion resistance. Although copper–tin alloys are excellent materials, a higher performance of mechanical parts is required under extreme operating conditions. Plastic deformation is an effective way to improve the overall performance of a workpiece. In this study, medium-temperature compression tests were performed on a semi-solid CuSn10P1 alloy using a Gleeble 1500D testing machine at different temperatures (350−440 °C) and strain rates (0.1−10 s−1) to obtain its medium-temperature deformation characteristics. The experimental results show that the filamentary deformation marks appearing during the deformation are not single twins or slip lines, but a mixture of dislocations, stacking faults and twins. Within the experimental parameters, the filamentary deformation marks increase with increasing strain and decrease with increasing temperature. Twinning subdivides the grains into lamellar sheets, and dislocation aggregates are found near the twinning boundaries. The results of this study are expected to make a theoretical contribution to the forming of copper–tin alloys in post-processing processes such as rolling and forging.

Impacts and effects of the use of medications by crew and passengers during air transport

During a flight, changes occur in the human body, whose possible reactions can influence the well-being and quality of health of medicine users, subject of scarce studies. The aim of this paper is to analyze the impacts and effects of medication use during air transport. Through a literature review and documentary research methodology, relevant facts about the precautions that should be taken regarding the use of medication in flights were considered. As a practical contribution, some important medications and their possible effects during flights are presented, as well as some warnings about medication interactions, and some advice for better quality air travel for the health of passengers and crew are given. As a theoretical contribution, this study gathers the scattered information presented in the literature about the problems that the use of medications during a flight can cause to the human body and possible recommendations. As social contribution, this study warns about the risks of self-medication, and establishes a basis for future discussions with society about the use of medication in flights.

Predicting evaporation rates of droplet arrays

The evaporation of multiple sessile droplets is both scientifically interesting and practically important, occurring in many natural and industrial applications. Although there are simple analytic expressions to predict evaporation rates of single droplets, there are no such frameworks for general configurations of droplets of arbitrary size, contact angle or spacing. However, a recent theoretical contribution by Masoud, Howell & Stone (J. Fluid Mech., vol. 927, 2021, R4) shows how considerable insight can be gained into the evaporation of arbitrary configurations of droplets without having either to obtain the solution for the concentration of vapour in the atmosphere or to perform direct numerical simulations of the full problem. The theoretical predictions show excellent agreement with simulations for all configurations, only deviating by 25 % for the most confined droplets.

Sustainable behavior in motion: designing mobile eco-driving feedback information systems

Emissions from road traffic contribute to climate change. One approach to reducing the carbon footprint is providing eco-driving feedback so that drivers adapt their driving style. Research about the impact of eco-feedback on energy consumption is the basis for designing a mobile eco-driving feedback information system that supports drivers in reducing fuel consumption. This work develops design knowledge from existing knowledge. Subsequently, we implement a prototypical instantiation based on the derived knowledge. Insights from a field study suggest that our design artifact allows most drivers to decrease fuel consumption by 4% on average. The paper’s theoretical contribution is a set of design principles and an architecture of the proposed mobile eco-driving feedback information system. One recommendation is to provide normative feedback that compares drivers with each other. This feedback appears to encourage drivers to decrease their fuel consumption additionally. The design knowledge may support researchers and practitioners in implementing efficient eco-driving feedback information systems.

Valuing the Benefits and Enhancing Access: Community and Allotment Gardens in Urban Melbourne, Australia

The purpose of this study was to explore perceptions of the benefits and challenges experienced by community and allotment gardens utilising a broad theoretical analysis, pertaining to the case study of Melbourne, a city in Australia that until recently has been experiencing significant population growth and urban densification. The study involved qualitative, semi-structured interviews with 23 participants from six urban community and allotment gardens. Interviews identified the perceived benefits of community and allotment gardening, perceived demographic patterns of engagement, challenges faced in relation to secure land access, and the potential offered by community and allotment gardens for social and environmental wellbeing. Findings revealed a range of perceived benefits, perceived demographic patterns, highlighted challenges posed to participation due to insecurity around ongoing land access, and detailed the perceived capacity community and allotment gardens have to contribute to social and environmental wellbeing. This study contributes to existing literature focused on the benefits and potential of community and allotment gardening for personal, social and environmental wellbeing, by offering an original theoretical contribution through carrying out an analysis informed by urban geography, phenomenology, political economy and ecology, and to literature focused on issues of access to land for these amenities.

Exploring User Acceptance Determinants of COVID-19-Tracing Apps to Manage the Pandemic

Tracing infectious individuals and clusters is a major tactic for mitigating the pandemic. This paper explores the factors impacting the intentions and actual use of COVID-19 contact tracing apps based on a technology acceptance model. A partial least squares structural equation model has been applied to understand determinants for the usage of tracing apps based on a large sample (N = 2,398) from more than 30 countries (mainly from Germany and USA). Further, the paper presents a classification of COVID-19 apps and users. Through that, the study provides insights for technologists and designers of tracing apps as well as policy makers and practitioners to work toward enhancing user acceptance. Moreover, the results are abstracted to general social participation with apps in order to manage future strategies. The theoretical contribution of this work includes the results of our acceptance model and a classification of COVID-19 tracing and tracking apps.

The impact of supply chain practice on green hotel performance through internal, upstream, and downstream integration

The company builds communication and collaboration with suppliers and customers to increase competitiveness in the supply chain flow. The organization's ability to involve suppliers and customers in business activities to achieve efficiency and effectiveness is one of the objectives of supply chain practice. The distribution of questionnaires directly to hotel practitioners was 25 respondents, and 65 respondents obtained the distribution of google form links. The results showed that supply chain practices with supplier relationship management and quality information sharing activities could increase internal and upstream integration and not directly impact downstream integration. Internal integration with data integration activities accurately and coordination between functions on an ongoing basis can affect upstream and downstream integration and green hotel performance. Upstream integration and downstream integration with joint decision activities and planning synchronization with external parties can directly impact green hotel performance. They were increasing the market share and image of the hotel with the implementation of caring for the environment. This research contributes to hotel practitioners adopting practical supply chains in building internal and external integration to increase competitiveness and theoretical contribution to developing supply chain theory and green performance.

How Does Experiential Value toward Robot Barista Service Affect Emotions, Storytelling, and Behavioral Intention in the Context of COVID-19?

This study aims to examine the antecedents of storytelling and intention to a behavioral robot barista coffee shop (RBCS) by exploring experiential values and emotions. For the analysis, a set of hypotheses was developed and tested based on data collected from 300 customers who had visited a RBCS in South Korea. In the verification, the atmosphere showed the greatest influence on positive emotion, followed by consumer return on investment (CROI). These results mean that atmosphere, CROI, and escapism are important to induce positive emotion and behavioral intention for robot barista coffee shop. This is the first study to examine consumers’ experiential value regarding non-face-to-face robot service in the food service industry. This design is different from previous experiential value studies on human services in the hospitality industry. By integrating artificial intelligence and digital innovation into food service, this study broadens the scope of research in consumer behavior, making a significant theoretical contribution to the literature. Furthermore, this study proposes practical implications for sustainable coffee shop management in a COVID-19 environment.