Nanostores’ Competitiveness and Sustainability Impact on Communities in Emerging Countries, An Interview with ChatGPT 3.5

Published: 28 February 2024| Version 1 | DOI: 10.17632/k8vgpm7gcs.1
David Salinas-Navarro


This interview with ChatGPT 3.5 delves into the exploration of strategy alternatives for nanostores, as small independent grocery retailers, to enhance their economic competitiveness in retail landscapes while positively impacting the sustainability of their local communities in emerging countries.


Steps to reproduce

The experimental setting, regarding data collection through “thing interviewing” and incremental prompting of ChatGPT 3.5, considered the following steps. i. Input an initial prompt concerning conceptual clarification on nanostores as independent small grocery retailers in emerging countries to outline the general context and study topic. ii. Input an incremental prompt about nanostores’ strategies to enhance their competitiveness while positively impacting the sustainability of their communities in emerging countries. Gradually provide additional information and guidance to ChatGPT 3.5, if necessary. This stepwise input provided further information or context. iii. Input an iterative refinement prompt based on the generated content to explore alternatives to nanostores’ strategies. iv. Obtain a comprehensive and contextualized final output by combining the incremental steps. v. Incorporate user feedback to refine the obtained responses for reporting, further exploration, clarification, or exemplification.


Aston University


Grocery Shopping, Competitiveness (Market Structure), Emerging Country, Sustainable Community, Generative Artificial Intelligence