Search results

The study aims to explore the relationship between the SDGs and the environmental and social impacts of university classes. It evaluates the potential contributions of different teaching models to the SDGs, providing insights into sustainable teaching systems.

In-person classes exhibited hotspots in transportation and energy consumption. Scenarios I and II, involving virtual and hybrid classes, increased eutrophication potential and water scarcity due to higher food consumption, negatively impacting SDGs. However, all scenarios showed positive contributions to SDGs 2, 3, 6, 9, 11, 12, 13, 14 and 15.

This research integrates Life Cycle Assessment (LCA) with the United Nations Sustainable Development Goals (SDGs) to assess the environmental and social impacts of classes at the Federal University of São Carlos, Sorocaba campus in Brazil. Three scenarios were analyzed: (I) virtual classes, (II) hybrid classes and (III) in-person classes with improved energy efficiency.

The study primarily focuses on environmental and social impacts, excluding other factors like class quality. Integrating Life Cycle Costing and Life Cycle Sustainability Assessment could provide a more holistic evaluation in the future.

The methodology adopted offers valuable insights for managing the impacts of university performance and aligning teaching systems with the SDGs. It enables institutions to make informed decisions for sustainability in education.

The research emphasizes the importance of considering social impacts alongside environmental ones when assessing sustainability in educational institutions. It encourages universities to engage stakeholders in sustainability efforts.

This research innovatively combines LCA and the SDGs in the context of university education providing a replicable methodology for evaluating and enhancing sustainability in teaching systems and from a more quantitative perspective.

Considering the requirements of sustainable development regarding professionals training and the challenges evidenced during Coronavirus disease (COVID-19) pandemic, this study aims to contribute to the debates regarding the need to insert sustainability into engineering education in the current context.

For this, the literature about sustainability in engineering education was considered, and the need for sustainability insertion in the context of the COVID-19 pandemic was debated. It is important to emphasize that this debate was based on the authors’ experience regarding sustainability research and teaching.

The current moment unveiled companies’ financial management problems, constantly evidenced by media. In this sense, the interest of engineering students in business management may lead them to believe that companies’ survival depends only on financial aspects, neglecting environmental and social aspects. This study is characterized as a reminder to academic staff in the field of engineering to continue valuing the principles of sustainable development with their students during the COVID-19 pandemic.

The need to make engineering students understand the importance of social projects in the current period is emphasized. The training of professionals to consider all the sustainability aspects even during crisis moments is evidenced now and should be used as a learning lesson for the future.

The purpose of this paper is to overview the literature about the environmental performance of additive manufacturing (AM) and to evaluate the use of life cycle assessment (LCA) on these studies.

This study was based on the systematic literature review.

The investigation found that most authors were concerned about the energy consumption of the AM equipment, which is the subject studied by 87% of articles. In addition, 25% of the studies used LCA at least in some level, making a global environment assessment to evaluate the environmental impacts of AM. By analyzing research studies, it was possible to find signs that AM could be a lower environmental impact process, when compared with traditional manufacturing. However, this assumption is not valid in all cases because there are many variables that may affect environmental results.

Due to the increase on the usage of this type of technology by industries, studies on the environmental performance of this process became relevant.

The inclusion of sustainability in higher education courses has been debated in recent decades and has gained particular emphasis throughout the COVID-19. This paper aims to show how the context of the pandemic, which demanded the transition from in-person classes to virtual classes, was used to illustrate better the concepts of life cycle assessment (LCA) for Production Engineering students in a Brazilian University.

The research strategy used was action research. Throughout the discipline offering, the environmental impacts resulting from in-person and remote classes were comparatively assessed through a practical activity using LCA. Students’ behaviour and perception of the activities were recorded by the professor and discussed with the other researchers on the team. At the end of the course, students answered a questionnaire to assess their satisfaction with different aspects of the discipline, and these data were analysed via Fuzzy Delphi.

The results focus on discussing the pedagogical aspects of this experience and not the environmental impacts resulting from each class modality. It was possible to notice a greater engagement of students when using a project that directly involved their daily activities (food, transportation, use of electronics, etc.) compared to the traditional approach of teaching LCA concepts. In this traditional approach, the examples focussed on the industrial sector, a more distant context from the reality of most students. Student feedback demonstrated great acceptance by them regarding the approach adopted.

This study contributes to expanding debates about sustainability insertion in higher education and the training of professionals more aligned with the sustainable development agenda.

This study relied on the affective events theory to test the mediating role of the ratio of emotions in the relationship between employees' perceived leadership effectiveness and their well-being at work.

A quantitative methodology was used, based on a deductive approach of a transversal nature. Data were collected from a convenience sample consisting of 255 working adults.

Structural equation modeling results demonstrated that perceived leadership effectiveness positively influenced well-being and the ratio of emotions, showing that when employees perceived their leader as effective, they tended to experience more positive emotions and less negative ones (as indicated by a positive ratio). Furthermore, the results supported the hypothesis that perceived leadership effectiveness influenced well-being through increases in the ratio of emotions.

The nature of the sample makes it impossible to generalize the results. Also, the fact that the questionnaires were self-reported may have biased the results because only the employees' perception of the variables under study was known.

This study highlights the fact that perceived leadership effectiveness can be seen as an affective event that triggers positive and negative emotional responses at work, which, in turn, will have an impact on employee well-being.

An effective leadership style has been shown to be pivotal in reducing the prevalence of negative emotions within a team. When leaders foster a welcoming work environment where team members enjoy their roles, it often results in heightened positive emotions and overall well-being.

This study aims to implement Lean and Green principles within the agribusiness sector, focusing specifically on employing Environmentally Sustainable Value Stream Mapping (Sus-VSM) to assess critical indicators for both present and future states of an orange farm. The objective is to enhance value while simultaneously mitigating environmental impacts.

Employing a mixed-method research design, this study integrates both qualitative and quantitative methodologies. It adapts Sus-VSM and introduces inventory analysis frameworks for application within the agricultural domain, conducting a case study on an orange farm located in Sergipe, Brazil. This research seeks to provide actionable insights into the application of Lean and Green principles in agribusiness and introduces the Overall Lean-Green Effectiveness (OLGE) as an innovative decision-making tool for managers.

The study underscores the efficacy of Sus-VSM in the agricultural sector, albeit noting the necessity for certain process modifications to ensure successful implementation. Upon comparison of the two states, it is observed that the current state incurs 70.55% higher impacts on climate change (0.47 tCO₂eq./ha), whereas the future state could yield a 4.08% increase in aggregated value. Improvements from the current to the future scenario can primarily be achieved through enhanced management of in-field inventory of inputs, given that OLGE in this case study is significantly influenced by efficient inventory management.

The adaptation of VSM for agricultural operations, coupled with the integration of environmental sustainability indicators, represents an innovative strategy for enhancing agricultural processes while minimizing environmental impacts. The proposition of a new Lean and Green indicator, the OLGE, aims to facilitate the interpretation of results and guide improvements.

This paper aims to propose a learning evaluation model for Green Belts and Black Belts at the training level. A question bank has been developed on the basis of Bloom’s learning classification and applied to a group of employees who were being trained in Six Sigma (SS). Their results were then used to decide on the students’ approval and to guide the instructor’s plan of teaching for the next classes.

An action research has been conducted to develop a question bank of 310 questions based on the revised Bloom’s Taxonomy, to implement the evaluation model, and to apply it during the SS training.

The evaluation model has been designed so that the students do not proceed unless they have acquired the conceptual knowledge at each step of the DMAIC (Define, Measure, Analyze, Improve and Control) roadmap. At the end of the evaluation process, the students’ results have been analyzed. The number of mistakes in all stages of DMAIC was equal, implying that the training was uniform the entire roadmap. However, the opposite happened in each of the Bloom’s Taxonomy levels, showing that some skills need to be better stimulated by the instructor than others.

The learning evaluation model proposed in this paper has been applied to a group of 70 employees who were being trained in SS at a Brazilian aircraft manufacturer. The data have been analyzed using Microsoft Excel^® and Minitab^® 17 Statistical Software.

Despite the abundance of courses offering the SS Green Belt and Black Belt certifications, there is no standard evaluation to ensure the training quality. Thus, this paper proposes an innovative learning evaluation model.

The purpose of this paper was to evaluate the differences between common Brazilian beer and pure malt beer in the responses of hedonic scaling, willingness to pay and emotional response.

Two types of beer were selected to be tested – a common beer: Pilsen Skol and pure malt beer: Pilsen Eisenbahn. All the analysis was conducted under three labeling conditions: blind; labeled; inverted label with 70 participants in each test. A nine-point hedonic scale evaluated the acceptance. The consumer was questioned how much he/she would be willing to pay for a bottle of beer that he/she tasted. A questionnaire was elaborated based on the EsSense profile to evaluate emotions; 25 emotions were evaluated using a five-point scale. The socioeconomic status was defined based on consumer's household characteristics.

The acceptance score, positive emotions and willingness to pay were higher for pure malt beer in the labeled test and for common beer (labeled as pure malt) in the inverted test. The findings highlight that information, such as beer type and socioeconomic status, could influence consumer responses by altering hedonic perceptions, emotions and commercial value attributed to different beers. In general, the beer type did not affect the evaluated variables.

Brewing industry should explore in their marketing strategies and state clearly the pure malt label. In restaurants, owners can explore pure malt beers as a strategy for garnering different customer profiles. Technological and production investments should be encouraged to reduce the product price, favoring the final consumer.

This study contributes to understanding the growth in the consumption of pure malt beers in Brazil. Moreover, it brings an overview of the influence of the label/information on regular Brazilian consumers.

This paper aims to identify the determining factors for the financial performance (FP) of social enterprises in an emerging country, in this case Brazil.

This paper identifies the determinants of the FP of social enterprises in Brazil using the resource-based view as a theoretical lenses and the quantitative method (n = 601) of logistic regression, analyzing the importance of nine variables related to SEs.

The findings refer to practical contributions (which show how SEs should focus and allocate their resources to maximize FP) and theoretical contributions linked to entrepreneurship literature (by differentiating the results of this work from the literature on commercial entrepreneurship in terms of resources), social entrepreneurship literature (by presenting the resources that determine their FP), business literature, entrepreneurial finance and entrepreneurship in emerging economies.

This work represents a novelty from a methodological point of view, filling the gap regarding the lack of studies that apply a quantitative methodology to a large sample and analyze several different variables when most studies analyze only one factor related to the performance of an organization. It also fills the gap in entrepreneurship studies that use some theoretical lenses. This work is also a pioneer in analyzing the variables involved, such as market orientation, technologies and impact measurement in social entrepreneurship. As this work uses data from a secondary sample, there is the limitation of not choosing the analyzed variables. Even though there were many variables in the sample, it was impossible to consider some variables, referring to various aspects of resources and performance. For this same reason, the social performance of SEs, which is of fundamental importance within the objectives of any organization of this type, was not analyzed and may be a suggestion for future work.