A Fuzzy Bi-objective Mathematical Model for Perishable Medical Goods Supply Chain Network Considering Crisis Situations: An Empirical Study.

In case of crisis, the salvation of injuries depends on the timely provision of medical goods, relief supplies, and equipment. The aim of this study is to present a mathematical model for the supply chain network of perishable medical goods in crisis situation considering the uncertain environment. In this paper, a three-level supply chain including suppliers, intermediate warehouses, and final customers is developed for perishable medical items.

The impact of research on health education/health literacy on policymaking in Latin America and the Caribbean Region.

Background: In this study, we addressed the gap between health research and policymaking in Latin America and the Caribbean (LAC), focusing on health education/health literacy. Despite growing research, translating findings into effective policies needs to be improved. We explored the factors that make research on health education and health literacy to be referenced and mentioned in policy documents in LAC (and in Peru).

Navigating job satisfaction in family firms during crisis.

Occupational health is one of the aspects significantly affected during crisis periods. It is essential to learn about the factors that improve organizational capacity in coping with such shocks. This study investigates how the working environment of a family business influences job satisfaction during crises.

Psychological Capital and Turnover Intention: The Mediating Role of Burnout among Healthcare Professionals.

Psychological capital (PsyCap) has been identified as an individual's positive psychological state of development that can help to reduce negative organizational outcomes. However, there is still a gap in understanding how PsyCap influences different aspects of organizations. This study investigates the mediating role of burnout in the relationship between PsyCap and turnover intentions among healthcare professionals.

Advertising and Eco-Labels as Influencers of Eco-Consumer Attitudes and Awareness-Case Study of Ecuador.

This study examined the impact of green advertising and eco-labels on the attitudes and environmental awareness of millennials purchasing eco-friendly products in shopping centers across Ecuador. The research utilized a quantitative, correlational, cross-sectional methodology with 430 millennials participating. A 20-item survey was administered face-to-face at shopping centers in Quito and Guayaquil, Ecuador.

Personal Variables in Attitude toward Green Purchase Intention of Organic Products.

The present research aims to determine whether environmental awareness, green self-identity, and subjective norms influence the attitudes of consumers who identify with environmental issues and have green purchasing intentions for organic products. The research was quantitative, correlational in scope, and cross-sectional in design. It was applied to 710 Peruvian millennials.

Health Literacy Concepts, Themes, and Research Trends Globally and in Latin America and the Caribbean: A Bibliometric Review.

(1) Background: Health literacy (HL) debates have increased significantly in the last two decades. HL concepts/themes and models have achieved substantial development in the US and Europe. Although there have been some efforts to develop HL in Latin America and the Caribbean (LAC), these seem to be few and scattered.

Emotion regulation strategies and psychological health across cultures.

Emotion regulation is important for psychological health and can be achieved by implementing various strategies. How one regulates emotions is critical for maximizing psychological health. Few studies, however, tested the psychological correlates of different emotion regulation strategies across multiple cultures.

Prevention and control of violence and aggression in football fans: Implications for sport psychologists, fans, and policymakers.

This research was conducted to design an interpretive structural model of factors affecting the prevention and control of violence and aggression in football fans. The statistical population of this study was entirely composed of sport experts, executive managers, sociologists, and management professors in Iran. Thirteen individuals were accordingly selected as the research sample using non-probability purposeful sampling.

A Multi-objective Mathematical Programing Model for the Problem of P-envy Emergency Medical Service Location.

To prevent the great dangers caused by emergency situations, providing rapid and high-quality emergency aid highly depends on the location of emergency medical centers. The purpose of this research is to present a multi-objective mathematical programing model based on the minimum P-envy algorithm to locate and construct emergency medical services (EMS). Maximizing the coverage in order to increase the probability of survival of different categories of patients, minimizing the costs of constructing EMS and optimizing the ratio of regions having the right to emergency medical services is one of the fundamental challenges in the health care system of countries.

Preparing Cities for Future Pandemics: Unraveling the Influence of Urban and Housing Variables on COVID-19 Incidence in Santiago de Chile.

In this study, we analyzed how urban, housing, and socioeconomic variables are related to COVID-19 incidence. As such, we have analyzed these variables along with demographic, education, employment, and COVID-19 data from 32 communes in Santiago de Chile between March and August of 2020, before the release of the vaccines. The results of our Principal Component Analysis (PCA) confirmed that those communes with more economic, social, organizational, and infrastructural resources were overall less affected by COVID-19.

Critical Factors to Approach the Emergency Online Teaching Due to the COVID-19.

This study analyzed the critical factors to approach the emergency online teaching due to the COVID-19 pandemic in a business school in Latin America. The data were collected through a semi-structured online questionnaire administered to 94 full-time and part-time faculty members. The study identified 10 critical factors for the successful implementation of emergency online teaching.

A two-echelon location routing problem considering sustainability and hybrid open and closed routes under uncertainty.

Location-routing is an extremely important problem in supply chain management. In the location-routing problem, decisions are made about the location of facilities such as distribution centers as well as the set of vehicle routes. Today, organizations seek to reduce the transportation cost by outsourcing leading to a particular kind of transportation problems known as open routing.

Living well: Empirically developed structural equation model for healthy and effective self-regulation.

The purpose of this study is to develop and empirically test a structural equation model (SEM) for healthy and effective self-regulation based on the propositions of self-determination theory (SDT). A cross-sectional data sample ( = 6,705) is used to test the model. The results of the SEM demonstrate good to excellent global fit indices (RMSEA = 0.

The role of the mass vaccination programme in combating the COVID-19 pandemic: An LSTM-based analysis of COVID-19 confirmed cases.

The COVID-19 virus has impacted all facets of our lives. As a global response to this threat, vaccination programmes have been initiated and administered in numerous nations. The question remains, however, as to whether mass vaccination programmes result in a decrease in the number of confirmed COVID-19 cases.

Examining operational efficiency with prudent risks of Covid-19: a contextual DEA analysis with an undesirable intermediate measure.

In the wake of the losses of human lives and disruption to the world economy caused by the spread of the COVID-19 pandemic, it has become imperative to assess the effectiveness of containment strategies adopted by countries. The success of any containment strategy of achieving low mortality and high recovery rate depends on the efficient utilization of available but limited resources, such as number of hospital beds and healthcare workers. While the spreading pattern of the pandemic has been researched heavily, there is limited research that comprehensively focuses on the efficient utilization of available resources to achieve the desired aims of low mortality and high recovery.

A critical analysis of the integration of blockchain and artificial intelligence for supply chain.

The integration between blockchain and artificial intelligence (AI) has gained a lot of attention in recent years, especially since such integration can improve security, efficiency, and productivity of applications in business environments characterised by volatility, uncertainty, complexity, and ambiguity. In particular, supply chain is one of the areas that have been shown to benefit tremendously from blockchain and AI, by enhancing information and process resilience, enabling faster and more cost-efficient delivery of products, and augmenting products' traceability, among others. This paper performs a state-of-the-art review of blockchain and AI in the field of supply chains.

Job-demand and family business resources in pandemic context: How they influence burnout and job satisfaction.

This research aims to explore how work demands and resource variables affect the burnout and satisfaction of employees of family businesses in the context of the pandemic (COVID-19) and the moderation effect of fear of COVID-19 on this relationship. A sample of 214 Chilean family business employees is used for hypotheses testing. Results indicate that the demands and resources partially explain the burnout and satisfaction of employees of family firms during the pandemic.

Psychological Empowerment and Job Stress in Higher Education Institutions in Ecuador.

Purpose: Both psychological empowerment and job stress have been the subjects of great concern, studied mainly in developed countries. In emerging economies, few studies have contributed to the knowledge of the relationship between these two constructs. This study analyzed the relationship between the dimensions of psychological empowerment and job stress in tenured professors from public higher education institutions in Ecuador during 2019, providing insights for achieving better results regarding the productivity and well-being of teachers.

Biosecurity in the workplace and a QMS during the COVID-19 pandemic: a survey for Peruvian goods companies.

. This study analyzes the differences between goods companies with a Standard No. ISO 9001:2015 quality management system (QMS) and those without, in terms of implementation of biosecurity measures during the COVID-19 pandemic.

An Analysis of the Operation Factors of Three PSO-GA-ED Meta-Heuristic Search Methods for Solving a Single-Objective Optimization Problem.

In this study, we evaluate several nongradient (evolutionary) search strategies for minimizing mathematical function expressions. We developed and tested the genetic algorithms, particle swarm optimization, and differential evolution in order to assess their general efficacy in optimization of mathematical equations. A comparison is then made between the results and the efficiency, which is determined by the number of iterations, the observed accuracy, and the overall run time.

Planetary Health and Health Education in Brazil: Towards Better Trained Future Health Professionals.

Brazil is Latin America's largest country and has a strong economy, but it is also characterised by many inequalities. These are very conspicuous in the health sector, particularly in health education, which is expected to modernise according to the planetary health (PH) perspective. This paper describes the health education scenario in Brazil and undertakes an analysis of the postgraduate health programmes and policies in place, identifying the extent to which these support the cause of PH.

Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990-2019.

Artificial Intelligence (AI) has emerged as a field of knowledge that is displacing and disrupting technologies, leading to changes in human life. Therefore, the purpose of this study is to scientifically map this topic and its ramifications, in order to analyze its growth. The study was developed under the bibliometric approach and considered the period 1990-2019.

Green two-echelon closed and open location-routing problem: application of NSGA-II and MOGWO metaheuristic approaches.

Nowadays organizations outsource transportation of goods or services to reduce cost which leads to a particular type of problem called open location-routing. Also, each logistic organization possesses a limited number of specific vehicles that may not be enough in certain circumstances. This issue indicates the importance of simultaneously considering both open and closed routs.