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 main objective of this research is to identify the relationship between the supply chain and agro-export in an agricultural company. The methodology used is applied, with a quantitative approach, using the hypothetical-deductive method and a non-experimental cross-sectional design. The results indicate that optimized management at each stage of the supply chain contributes significantly to export success. A moderate positive relationship was found between procurement, production, distribution and agroexport, with a particularly strong impact on the distribution phase. This finding suggests that improving logistics, reducing delivery times and optimizing the distribution chain increases a company's competitiveness in international markets. The research concludes that an efficient supply chain is key to sustainability and growth in the agroexport sector, recommending that the company focus on implementing logistics management technologies and training its personnel to improve processes and respond to the demands of the global market.