This study aims to investigate the effectiveness of community involvement in waste management through participatory research. Its objective is to bridge the theoretical underpinnings of participatory research with its practical implementation, particularly within the realm of waste management. The review systematically analyzes global instances where community engagement has been incorporated into waste management initiatives. Its principal aim is to evaluate the efficacy of participatory strategies by scrutinizing methodologies and assessing outcomes. To achieve this, the study identified 74 studies that met rigorous criteria through meticulous search efforts, encompassing various geographical locations, cultural contexts, and waste management challenges. In examining the outcomes of participatory research in waste management, the study explores successful practices, shortcomings, and potential opportunities. Moving beyond theoretical discourse, it provides a detailed analysis of real-world applications across various settings. The evaluation not only highlights successful engagement strategies and indicators but also critically assesses challenges and opportunities. By conducting a comprehensive review of existing research, this study establishes a foundation for future studies, policy development, and the implementation of sustainable waste management practices through community engagement. The overarching goal is to derive meaningful insights that contribute to a more inclusive, effective, and globally sustainable approach to waste management. This study seeks to inform policymaking and guide future research initiatives, emphasizing the importance of community involvement in addressing the complexities of waste management on a global scale.

Enhancing the emphasis on incorporating sustainable practices reinforces a linear transition towards a circular economy by organizations. Nevertheless, although studies on circular economy demonstrate an increasing trend, the drivers that support circular economy practices towards sustainable business performance in the Small and Medium-Sized Enterprise (SME) sector, especially in developing nations, demand exploration. Accordingly, the study examines circular economy drivers, i.e., green human resource management, in establishing sustainability performance and environmental dynamism as moderating variables. The study engaged 207 SMEs and 621 respondents who were analyzed utilizing structural equation modeling. The analysis indicated that sustainable business performance was affected by green human resource management and a circular economy. Subsequently, the circular economy mediated the linkage between green human resources management and sustainable business performance. The environmental dynamism moderated the linkage between green human resources management and the circular economy.

The competition for financial support among non-profit organizations (NPOs) has been intense for quite some time. It is crucial for these organizations to boost their competitive edge by gaining a deep understanding of donor behavior and fostering ongoing interactions with them. In today’s world, where convenience and efficiency are highly valued, factors such as the timing and location of donations can deter potential donors from contributing. Rigid and inconvenient donation methods can also hinder the donation process. As a result, this study aims to explore the role of convenience within the donation process, specifically investigating whether the convenience of online donation platforms provided by non-profit organizations significantly influences donors’ propensity to make contributions. This research differentiates the range of services offered by non-profit organizations and employs a questionnaire survey to examine the websites of the NPOs. A total of 466 valid responses were gathered. The empirical findings indicate that donors prioritize simplicity and speed in the online donation process. Additionally, donors prefer websites where they can easily locate necessary information and various details about the donation process, with relevant links that minimize time waste and complexity in navigating the website. The study also reveals that the convenience factor significantly influences donation behavior. Based on these insights, the study offers recommendations for non-profit organizations on how to provide donor-centric services by focusing on the aspects of convenience that donors value most in the donation process.

In this study, we utilized a convolutional neural network (CNN) trained on microscopic images encompassing the SARS-CoV-2 virus, the protozoan parasite “plasmodium falciparum” (causing of malaria in humans), the bacterium “vibrio cholerae” (which produces the cholera disease) and non-infected samples (healthy persons) to effectively classify and predict epidemics. The findings showed promising results in both classification and prediction tasks. We quantitatively compared the obtained results by using CNN with those attained employing the support vector machine. Notably, the accuracy in prediction reached 97.5% when using convolutional neural network algorithms.