The ongoing pandemic (2020) of COVID-19 and unpredictable retail demands tend to be one of the primary issues concerning the worldwide economic depression. The shift from short-term financial decisions to sustainable finance mode is indeed a part of the solutions of future consumers’ priorities, which include hazy retail spending. Regardless of the circumstances, the incessant innovations of retail through researches and conferences have made retail become more reliable and one of perennial studies. The enigma of the best retail model for each era in philosophy always become a question.
This paper re-evaluates state-of-the-art framework in retail through ages, and caps lock the major path concepts which support the development of retail hitherto. In the past decades, citation studies have become one of the important piece of knowledge that reveal innovation to trace knowledge flows and predict the possible data highlights. Using cluster analysis through Group Finder, there are ten main clusters and ten clusters of potential minor retail topics. This thesis documents contrast three level methodologies: main path analysis, edge-betweenness clustering analysis and theoretical framework analysis.
The paper also examines the implications of innovation capability from the number of publications, the total patent citations, international co-inventions, to a country’s economic and innovation development. A regression analysis for a sample of fifty countries, creates a significant model of a more resilient economic system, which was evident in the three-years before the global pandemic 2020. As part of the research conclusion, an emerging perspective for interconnected theme of retail to achieve sustainable development goals via humans who are designed for dignity, to avoid imbalanced components of the retail mix, and to bridge the gap between applied retail theories and best practices emerges.

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