A RETAIL LOCATION SPREADSHEET SIMULATION
Vol: 2014, Issue: 1
2014
- 9Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage9
- Downloads9
Artifact Description
The key to success In retail is a good store location. Several models have been developed to help retailers determine optimal store locations. This project is a store location simulation for a QuatroPro spreadsheet. The model is based on the Huffs Gravity Model, a well-known retail model, which states-in part-that a store’s revenues are based on its proximity to population centers.
Bibliographic Details
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