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Packaging plays an important role in the movement and distribution of products along the supply chain by safely ensuring proper product delivery, achieving economies of scale through standardization, and serving as a selling tool. Packaging presents associated high economic and environmental costs for transportation, picking, handling, storing, and returning products. Considering the high demand for paper and cardboard worldwide and the projected increase during the next decade, there is a latent need to prevent and reduce the possible waste from packaging. The return of cardboard boxes used for packaging to the product suppliers could be a feasible solution to tackle this issue; however, it seems to be a disposable cost that companies assume when delivering products to highly fragmented markets. This research intends to understand the role that nanostores play in affecting whether or not cardboard packages are returned after receiving the products from suppliers and how likely shopkeepers are to support closing the loops in the current supply chain system. A survey with 27 questions related to recycling, reusing, reselling, returning, and waste was designed and applied to three hundred thirty-seven shopkeepers in two stages. The data was analyzed through plot analysis and descriptive statistical methods. The results show that some dynamic drivers and intervention schemes may increase the current returnability rate of packaging (11%) to the level of reuse rates (75% in these small, family-owned retailers). We found that thicker cardboard packages foster reuse and recycling rates. Based on the results, we propose that startups close the gap to trigger returnability and recycling while the government develops regulations to support these initiatives.
Packaging plays an important role in the movement and distribution of products along the supply chain by safely ensuring proper product delivery, achieving economies of scale through standardization, and serving as a selling tool. Packaging presents associated high economic and environmental costs for transportation, picking, handling, storing, and returning products. Considering the high demand for paper and cardboard worldwide and the projected increase during the next decade, there is a latent need to prevent and reduce the possible waste from packaging. The return of cardboard boxes used for packaging to the product suppliers could be a feasible solution to tackle this issue; however, it seems to be a disposable cost that companies assume when delivering products to highly fragmented markets. This research intends to understand the role that nanostores play in affecting whether or not cardboard packages are returned after receiving the products from suppliers and how likely shopkeepers are to support closing the loops in the current supply chain system. A survey with 27 questions related to recycling, reusing, reselling, returning, and waste was designed and applied to three hundred thirty-seven shopkeepers in two stages. The data was analyzed through plot analysis and descriptive statistical methods. The results show that some dynamic drivers and intervention schemes may increase the current returnability rate of packaging (11%) to the level of reuse rates (75% in these small, family-owned retailers). We found that thicker cardboard packages foster reuse and recycling rates. Based on the results, we propose that startups close the gap to trigger returnability and recycling while the government develops regulations to support these initiatives.
This exploratory study investigates Generative Artificial Intelligence’s (GenAI) use in strategy ideation for nanostores—i.e., small independent grocery retailers—to enhance their competitiveness while contributing to community sustainability. Nanostores, particularly in emerging countries, face intense competition and rapidly changing trends. These stores adopt various strategies by leveraging their proximity to consumers in neighbourhoods, resulting in different business configurations. While the existing literature highlights the broader nanostores’ functions, there is limited research on how they may develop comprehensive strategies to face their challenges. By employing a thing ethnography methodology, this work proposes GenAI thing interviewing—i.e., with ChatGPT 3.5 and Microsoft Copilot—through incremental prompting to explore potential strategy ideation and practices. Key findings suggest GenAI conversations can aid shopkeepers in strategy ideation through human-like written language, aligning with small business dynamics and structures. This proposition results in a GenAI ideation framework for strategy generation and definition. Moreover, this technology can enhance nanostore competitiveness and sustainability impact by enacting improved strategy practices in stakeholder engagements. Accordingly, this work’s main contribution underscores a GenAI-enabled conversational approach to facilitate nanostores’ strategy ideation and embedding in everyday business operations. Future work must address the limitations and further investigate GenAI’s influence on human understanding and technological creation, strategy ideation, adoption, and usability in nanostores.
In recent years, agriculture has become an essential activity in Colombia, despite the challenges faced by farmers due to low yields and insufficient resources to improve their main activities, such as irrigation systems, agricultural practices, and industrial machinery. This Hass avocado approach has been addressed in previous research considering system dynamics simulation to evaluate farmers’ behavior strategies and improve their competitiveness. However, these studies typically examine a single strategy effect and avoid multiple integrated strategies. Other studies focused on the complex interactions between different factors in the production chain and their feedback effects on farmers’ productivity and cash flow. For these reasons, this research provides a comprehensively dynamic model and evaluates long-term strategies and their effects on supporting and improving small farmers’ productivity and profitability. A system dynamics methodology was used to model complex systems processing Hass avocado farmer association data and explore their effects on competitiveness for long-term sustainable and profitable agriculture. This research proposes optimal scenarios for small farmers, including strategies such as low-interest credit access, logistics practices, and government technical support. The scenarios provide a proactive tool for decision makers and promote rural farmers’ development, aligning high-quality fresh product supply and demand.
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