Addressing the global challenge of sustainable waste management, this research investigates the influence of social dynamics and digital connectivity on rural residents’ willingness to adopt waste classification practices, essential for sustainable environmental management. Through a comprehensive analysis of 5413 rural participants surveyed in the China Labor-force Dynamic Survey (CLDS), this study employs a novel mixed-methods approach. It integrates quantitative analysis with the Manski social interaction framework and a Recursive Bivariate Probit model to explore the intricate interplay between community interactions, internet access, and environmental behaviors. Our methodology stands out for its unique combination of social theory and econometric modeling to address a pressing environmental issue. Results highlight a significant effect of mobile internet use and social interactions within communities on enhancing willingness towards waste classification. Notably, digital connectivity emerges as a key facilitator of environmental engagement, mediating social influences, and fostering a collective approach to waste management. Considering these insights, we propose targeted policy interventions that blend digital strategies with traditional community engagement efforts. Recommendations include crafting digital literacy programs and leveraging social media to bolster community-centric environmental governance. By harnessing the synergistic potential of digital tools and social dynamics, these strategies aim to elevate the effectiveness of waste classification initiatives in rural China, offering a scalable model for environmental sustainability.

At the request of the authors, Xiaolan Wang and Nihal Ahmed have been removed from the original publication

The objective of this research was to determine the relationship between business perception and knowledge management for the use of virtual reality in companies in emerging countries. An applied methodology with a quantitative approach was used, at a correlational level and as a data collection instrument, a questionnaire was applied for each variable. The result of the study allowed us to identify a positive relationship between both variables. The conclusion of the study indicates that when there is a favorable business perception for the use of virtual reality, knowledge management will be a less complex and more optimal process for companies.

The general objective of the research was to establish the relationship between corporate social responsibility (CSR) and the competitiveness of an agro-exporting company in Piura in the year 2024. A quantitative approach was used, applied type, correlational level, nonexperimental and cross-sectional design; a survey was conducted using a questionnaire as an instrument to the final population of 52 workers of the company. The results indicated a moderate and statistically significant positive correlation between the CSR and competitiveness variables, with a Spearman's Rho coefficient of 0.640, with a bilateral significance of less than 0.001. Thus, it was concluded that, as CSR practices increased in the economic, social and environmental areas, the company's competitiveness also increased, although not proportionally.