Search Results (112)

Leadership is a key element in diverse working environments, contributing to the construction of more competitive and efficient institutions. Its impact transcends different sectors, including non-profit organizations, where it is essential to improve management and achieve institutional objectives. This research aimed to analyze whether leadership styles influence learning culture and dynamic capacity. An explanatory study was carried out involving 300 workers from nine Latin American countries who declared that they carried out work activities in a non-profit institution, aged between 19 and 68 years old (M = 34.10 and SD = 8.88). They were recruited through non-probabilistic sampling for convenience. The theoretical model was evaluated using the Partial Least Squares Structural Equation Model (PLS-SEM). A measurement model with adequate fit was obtained (α = between 0.909 and 0.955; CR = between 0.912 and 0.956; AVE = 0.650 and 0.923). Based on the results, it was observed that there was a positive impact of servant leadership on learning culture (β = 0.292), of empowering leadership on learning culture (β = 0.189), and of shared leadership on learning culture (β = 0.360). Likewise, there was a positive impact of culture of learning on dynamic capacity (β = 0.701). This research provides valuable insight for leaders in this sector who are seeking to achieve higher levels of learning culture and increase dynamic capability among their workers. Full article

The exploitation of the Amazon biome in search of net profit, specifically in the production of cocoa (Theobroma cacao) and açaí (Euterpe oleracea), has caused deforestation, degradation of natural resources, and high greenhouse gas (GHG) emissions, highlighting the urgency of improving the environmental, economic and social sustainability of these crops. These species were selected for their rapid expansion in the Amazon, driven by global demand, their local economic relevance, and their potential to either promote conservation or drive deforestation, depending on the production system. This study analyzes the pillars of environmental, social, and economic sustainability of cocoa and açaí production systems in the Amazon, comparing monoculture, agroforestry, and extractivism to support forest conservation strategies in the biome. Analysis of the environmental life cycle, social life cycle, and economic performance were used to determine the carbon footprint, the final point of workers, and the net profit of the activities. According to the results found in this study, cocoa monoculture had the largest carbon footprint (1.35 tCO₂eq/ha), followed by agroforestry (1.20 tCO₂eq/ha), açaí monoculture (0.84 tCO₂eq/ha) and extractivism (0.25 tCO₂eq/ha). In the carbon balance, only the areas outside indigenous lands presented positive carbon. Regarding the economic aspect, the net profit of açaí monoculture was USD 6783.44/ha, extractivism USD 6059.42/ha, agroforestry USD 4505.55/ha, and cocoa monoculture USD 3937.32/ha. In the social sphere, in cocoa and açaí production, the most relevant negative impacts are the subcategories of child labor and gender discrimination, and the positive impacts are related to the sub-category of forced labor. These results suggest that açaí and cocoa extractivism, under responsible management plans, offer a promising balance between profitability and environmental conservation. Furthermore, agroforestry systems have also demonstrated favorable outcomes, providing additional benefits such as biodiversity conservation and system resilience, which make them a promising sustainable alternative. Full article

Optimizing multi-factory remanufacturing systems with social welfare considerations presents critical challenges in task allocation and process coordination. This study addresses this gap by proposing a hybrid disassembly line balancing and multi-factory remanufacturing process optimization problem, considering workers with government benefits. A mixed-integer programming model is formulated to maximize profit, and its correctness is verified using the CPLEX solver. Furthermore, a discrete zebra optimization algorithm is proposed to solve the model, integrating a survival-of-the-fittest strategy to improve its optimization capabilities. The effectiveness and convergence of the algorithm are demonstrated through experiments on disassembly cases, with comparisons made to six peer algorithms and CPLEX. The experimental results highlight the importance of this research in improving resource utilization efficiency, reducing environmental impacts, and promoting sustainable development. Full article

This paper describes the development of the Climate-Friendly, Healthy, Efficient Food Service (CHEF) curriculum at the City University of New York (CUNY). The program addresses a critical gap between growing industry demand for sustainability-trained workers and limited community college culinary education in these areas. Through collaborative design with industry partners, public agencies, and non-profit organizations, we created four core courses covering sustainable food service operations, culinary practices, food systems, and nutrition. The curriculum offers two implementation pathways: a 100 h continuing education credential and an Associate of Applied Science degree concentration. Industry partners have committed to supporting the program through internships and recognition of the credential in hiring decisions. This model demonstrates the feasibility of integrating comprehensive sustainability education into community college culinary programs while enhancing graduates’ career prospects in the expanding sustainable food service sector. Full article

There is no doubt that leadership is one of the most researched and disseminated topics in recent years, and over time, some distinguished models have developed a solid foundation and a reputable structure. From this perspective, this study analyzes the evidence of validity and reliability of a scale that assesses leadership styles in non-profit institutions. The study had an instrumental design. The sample consisted of 272 workers from nine Latin American countries, aged between 19 and 68 years (M = 34.08 and SD = 8.61), recruited through non-probabilistic sampling. A validity and reliability analysis of the scale confirmed the nine items and three original factors (servant, empowering and shared leadership). The KMO test reached a high level (0.898 > 0.70), and the Bartlett test reached a highly significant level (Sig. = 0.000). The scale also showed good internal consistency (α = 0.918 to 0.956; CR = 0.918 to 0.957; AVE = 0.755 to 0.880). Likewise, for the Confirmatory Factor Analysis, a measurement adjustment was performed, obtaining excellent and acceptable fit indices for Model 2 (CMIN/DF = 1.794; CFI = 0.993; SRMR = 0.023; RMSEA = 0.054; Pclose = 0.369). This study provides a brief and useful tool to measure leadership styles in Latin America, as a scale used specifically for this context would allow for a more accurate and valid assessment. This is crucial for generating effective organizational interventions, fostering the development of authentic leaders, and improving the competitiveness of non-profit institutions. Full article

The world has experienced rapid productivity growth in the last three decades, but has this growth reflected in wages? In theory, under certain conditions, workers earn their marginal product so that productivity growth feeds into wages on a one-to-one basis. Given the contradictory literature, this paper revisited the productivity–wage relationship in South Africa using an industry-level panel dataset comprising 74 industries observed between 1993 and 2023. Using several estimators, four main findings are observed. First, productivity is found to have grown faster than wages. Second, the observed productivity–wage divergence partly reflects the squeezing of workers for profits. Third, productivity growth mostly outpaced the wages of low-skilled workers, workers on short-term contracts, and informal workers. Fourth, productivity growth largely undermined take-home pay compared to fringe benefits. These results imply that although boosting productivity growth may be important, its achievement may not lead to broad-based wage gains in South Africa unless the government pursues policies that realign productivity and the pay of low-skilled workers, informal workers, and workers on short-term contracts. Such policies may include sector-based incentives for businesses that improve wage conditions, increased union support in high-growth industries, improved regulation of the informal sector, and vocational training for low-skilled workers. Full article

Food production’s environmental, economic, and social challenges should be demystified through quantitative data. Therefore, the objective of this paper was to investigate the ecoregional sustainability of the Amazon biome from the perspective of the environmental life cycle, economic feasibility, and social life cycle analysis, emphasizing the pillars of sustainability in the production of three commodities: soybean, beef cattle, and Brazil nuts. Carbon footprint, net present value, and worker endpoint were the metrics evaluated. According to the results found in this study, the livestock presented greater environmental burdens in terms of carbon balance when compared to the production of Brazil nuts and soybean production with carbon balances in the order of 4.75 tCO₂eq/ha, −0.02 tCO₂eq/ha, and −1.20 tCO₂eq/ha, respectively. From an economic viewpoint, the extractive production of Brazil nuts presented the highest net profit per hectare/year (USD 559.21), followed by the agricultural system (USD 533.94) and livestock (USD 146.19). Finally, in relation to the social aspect of the production systems analyzed, the negative impacts linked to beef cattle production are related to the subcategories of forced labor and equal opportunities, and the positive impacts linked to soybean production are related to the subcategories of salary and benefits. The results highlight a genuine and sustainable balance in Brazil nuts extraction, presenting it as an investment for a sustainable future while demystifying the multifaceted information related to food production as a whole, in order to assist in decision-making and the formulation of public policies. Full article

The current diverse opportunities available worldwide have caused an increase in the pursuit of changing jobs in the Philippines for greener pastures, leading to a decrease in organization efficiency due to career shifts or intentions for shifting. With the evident movement of workers, this study aimed to establish a model for determining the factors that influence job-seeking Filipino workers to shift careers and seek greener pastures by holistically analyzing variables using the Theory of Planned Behavior and the Value-Belief-Norm. A total of 210 valid responses among employees who shifted careers were collected through online surveys via social media platforms using purposive sampling. Partial least square structural equation modeling as the main multivariate tool was utilized to assess the hypothesized relationships. The findings of this study revealed that self-transcendence values in shaping personal norms and ascription to responsibility affected the intention to career shift or greener pasture-seeking behavior. In addition, subjective norms affected attitude, while organizational commitment negatively affected intention for greener pastures. It was seen that the factors that affect intention behavior the most among Filipinos were better opportunities, financial stability, workplace environment, and work–life balance—a notion that connects with the Protestant Work Ethics. It was evident that self-perception of a better career, growth, and overall profit merged to influence the intention of a career shift. It could be suggested that job rotation and job enhancement may reduce these intentions and lead to satisfaction among employees. Moreover, job roles may be reevaluated to identify (dis)satisfaction among employees, so the spearheading team may evaluate what actions are needed. Enhancement of skills and development through seminars and training may also be considered. Full article

We apply a static oligopolistic general equilibrium model to investigate the effects of an environmental tax on labor incomes, capital incomes, profits, and the distribution of income. The study is motivated by the fact that environmental taxation is one main political tool to realize environmental sustainability and support sustainable development. However, to ensure social and economic sustainability, the taxes applied must be perceived as fair by the majority of the civil society. Moreover, efforts to determine a fair taxation policy would ensure, inter alia, responsible consumption and production, and lower inequality in the economy, which are one of the two priorities of the United Nations Sustainable Development Goals (SDG 10 and 12). Therefore, it is necessary to determine the tax incidence to inform policymakers regarding the distribution of the tax burden. To examine environmental policy, we assume the government applies a policy objective to realize strong environmental sustainability, as proposed by the Dutch economist Rofie Hueting. The main result is that oligopolistic firms can shift the whole tax burden resulting from environmental taxes to workers and capital owners. Consequently, we show that environmental taxes can lead to more income inequality, and the more concentrated the markets, the bigger the social and economic inequality. Noting that addressing environmental problems is a priority of the UN SDGs, our analysis shows that approaching the issue using just environmental tax propositions is not advisable. These results of the analysis also provide a justification of why many members of the society tend to oppose environmental taxes. Full article

Over recent years, the sustainability and resilience concept has increased its significance in the construction industry. Sustainability is associated with implementing best practices in the construction industry, while resilience is the adaptability and tolerance of systems in harsh conditions. The concepts are learned in the construction process. Moreover, building automation is growing rapidly, and buildings are becoming increasingly dependent on complex systems and technology and susceptible to unanticipated failure. Though sustainability and resilience concepts are interlinked, limited research quantifies their combination, resulting in a limited comprehension of how both concepts interact during application by developers in a smart building. Therefore, this study has established a financial model that employs Net Present Value (NPV) in studying the inference and clampdown of investment in both concepts. NPV was estimated using indirect and direct costs and benefits derived from the continuous integration of sustainability and resilience in a smart building. To quantify sustainability, its three components had to be quantified. Reduced energy expenditure and government environmental incentives were used to calculate the environmental component. Workers’ cost savings, fire insurance cost savings, and additional system maintenance costs were used to calculate the economic component. The social component of sustainability measured hard-to-quantify attributes like productivity, indoor environment quality, reputation, extra profit, services, and safety. To quantify them, a survey and RII method were used. The two concepts were then coupled by estimating the benefits and costs of installing and keeping resilience tools in design that are sustainable in the smart building and the impact study on the NPV outcome. Application of the design model was also carried out on four smart buildings that were selected in Dubai. The result indicated that coupling sustainable approaches and resilience yields higher NPV by at least 22%. Nevertheless, for NPV to be maintained positively and reduce the cost of failure, faulty detection tools should be assimilated while designing sustainable and smart buildings. The findings of this study will contribute to the benefit of other researchers, developers, investors, managers, engineers, and anyone who is involved in the design or construction process of intelligent buildings. Full article

The scheduling of disassembly lines is of great importance to achieve optimized productivity. In this paper, we address the Hybrid Disassembly Line Balancing Problem that combines linear disassembly lines and U-shaped disassembly lines, considering multi-skilled workers, and targeting profit and carbon emissions. In contrast to common approaches in reinforcement learning that typically employ weighting strategies to solve multi-objective problems, our approach innovatively incorporates non-dominated ranking directly into the reward function. The exploration of Pareto frontier solutions or better solutions is moderated by comparing performance between solutions and dynamically adjusting rewards based on the occurrence of repeated solutions. The experimental results show that the multi-objective Advantage Actor-Critic algorithm based on Pareto optimization exhibits superior performance in terms of metrics superiority in the comparison of six experimental cases of different scales, with an excellent metrics comparison rate of 70%. In some of the experimental cases in this paper, the solutions produced by the multi-objective Advantage Actor-Critic algorithm show some advantages over other popular algorithms such as the Deep Deterministic Policy Gradient Algorithm, the Soft Actor-Critic Algorithm, and the Non-Dominated Sorting Genetic Algorithm II. This further corroborates the effectiveness of our proposed solution. Full article

Virtual reality (VR) is one of the most innovative technologies that allows the development of a computerised, three-dimensional image that imitates reality. With this solution, it is possible to show different objects and even simulate a sequence of actions. The application of virtual reality technology in industries with high accident rates, such as mining and construction, contributes to sustainability by enhancing occupational health and safety (OHS) practices. However, it should be emphasised that the application of VR in these industries is much broader and includes aspects such as visualisation, monitoring and design. This research contributes to sustainability by identifying research gaps, providing an in-depth systematic review of the use of virtual reality technology and outlining the potential of VR technology to advance safety practices in mining and construction, thereby promoting the well-being of workers, reducing accidents and minimising negative environmental impacts associated with workplace incidents. Based on the analyses performed, the future of VR technology for improving work processes in terms of the safety, efficiency and profitability of implementation is outlined. The results of this study provide a comprehensive framework for identifying research gaps in this area to advance research in the academic community and to improve safety in mining and construction workplaces. Full article

Product disassembly is an effective means of waste recycling and reutilization that has received much attention recently. In terms of disassembly efficiency, the number of disassembly skills possessed by workers plays a crucial role in improving disassembly efficiency. Therefore, in order to effectively and reasonably disassemble discarded products, this paper proposes a partial parallel disassembly line balancing problem (PP-DLBP) that takes into account the number of worker skills. In this paper, the disassembly tasks and the disassembly relationships between components are described using AND–OR graphs. In this paper, a multi-objective optimization model is established aiming to maximize the net profit of disassembly and minimize the number of skills for the workers. Based on the bat algorithm (BA), we propose an improved discrete bat algorithm (IDBA), which involves designing adaptive composite optimization operators to replace the original continuous formula expressions and applying them to solve the PP-DLBP. To demonstrate the advantages of IDBA, we compares it with NSGA-II, NSGA-III, SPEA-II, ESPEA, and MOEA/D. Experimental results show that IDBA outperforms the other five algorithms in real disassembly cases and exhibits high efficiency. Full article

This study investigates the impact of an active workstation on heating and cooling energy consumption in commercial buildings. The improved performance and health of office workers are well-known and supported by several surveys and studies. However, the preferred and revised indoor air temperature for different activities of the employees, such as standing and walking, directly impacts the energy consumption of the building. Therefore, this study systematically quantifies the impact of indoor environments on building energy consumption using a simulation tool. Based on literature reviews with multidisciplinary fields, revised setpoint temperature, metabolic rate, and required outdoor air rate due to the level of active workstation (standing and walking) are applied to EnergyPlus reference building models. The impact on heating and cooling energy consumption is analyzed by considering several representative cities in the United States. Their average sensitivity was found to be 7.28% lower and 14.28% higher for heating and cooling energy, respectively. The total increment of $13,887 represents approximately 0.16% of the total profit of the corporation. This increment can be justified given the benefits to workers’ health, which include lower insurance costs and improved performance. This suggests that it is economically desirable to deploy active workstations widely. Full article

Participatory crowdsensing (PCS) is an innovative data sensing paradigm that leverages the sensors carried in mobile devices to collect large-scale environmental information and personal behavioral data with the user’s participation. In PCS, task assignment and path planning pose complex challenges. Previous studies have only focused on the assignment of individual tasks, neglecting or overlooking the associations between tasks. In practice, users often tend to execute similar tasks when choosing assignments. Additionally, users frequently engage in tasks that do not match their abilities, leading to poor task quality or resource wastage. This paper introduces a multi-task assignment and path-planning problem (MTAPP), which defines utility as the ratio of a user’s profit to the time spent on task execution. The optimization goal of MATPP is to maximize the utility of all users in the context of task assignment, allocate a set of task locations to a group of workers, and generate execution paths. To solve the MATPP, this study proposes a grade-matching degree and similarity-based mechanism (GSBM) in which the grade-matching degree determines the user’s income. It also establishes a mathematical model, based on similarity, to investigate the impact of task similarity on user task completion. Finally, an improved ant colony optimization (IACO) algorithm, combining the ant colony and greedy algorithms, is employed to maximize total utility. The simulation results demonstrate its superior performance in terms of task coverage, average task completion rate, user profits, and task assignment rationality compared to other algorithms. Full article