Use of the K-map Method in Supply Chain Management to Promote Growth at the Points of Sale of Retail Footwear Businesses

Authors

DOI:

https://doi.org/10.15381/idata.v23i1.17521

Keywords:

retail, logistics, K-map, KPIs, store

Abstract

This article offers a study of a retail footwear chain in Lima that uses the K-map method in its operations management. Its objectives are to verify if there is a positive impact on growth at the company’s points of sale, and to establish a relationship between the posed variables, considering the benefits of using the K-map method. The purpose of this study is to determine if this model promotes an increase in retail sales and if it is possible to recommend its use based upon hypotheses testing. This paper analyzes key performance indicators (KPIs) collected from six megastores to conduct normality, homogeneity, Pearson correlation and logistic regression testing. Results predict the relationship between variables and their influence on store growth with an efficacy of 83.3%.

Downloads

Download data is not yet available.

Author Biography

  • Rosemary Asorza Nicho, Independent Author

    Industrial engineer from the Universidad Nacional Mayor de San Marcos (Lima, Peru) and Master in Marketing and Commercial Management from the Universidad del Pacífico (Lima, Peru). Currently working as an independent consultant. (Lima, Peru).

Published

2020-10-15

Issue

Section

Producción y Gestión

How to Cite

Use of the K-map Method in Supply Chain Management to Promote Growth at the Points of Sale of Retail Footwear Businesses. (2020). Industrial Data, 23(1), 189-206. https://doi.org/10.15381/idata.v23i1.17521