Store Traffic Flow
Store Traffic Flow is a spatial-temporal construct in retail operations management that represents the structured pattern of customer movement through a physical store, distinguished by its systematic arrangement of pathways, directional flows, and interaction points designed to optimize navigation, product exposure, and purchasing behavior.
27
Publications
2.7K
Citations
63
Authors
44
Institutions
Publications per year
2017–2026
6
Parents
27
1–5 of 27
63
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University of North Carolina at Chapel Hill, United States
2 publications · 299 citations
2
h-index
1–5 of 63
44

Tilburg University
Tilburg, The Netherlands
2 h-index
2 publications
200 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
35 citations
Temple University
Philadelphia, United States
2 h-index
2 publications
67 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
4 publications
598 citations

Loyola University New Orleans
New Orleans, United States
2 h-index
2 publications
1.3K citations
Texas A&M University
College Station, United States
2 h-index
2 publications
209 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
4 publications
72 citations
Stanford University
Stanford, United States
1 h-index
1 publications
21 citations
1–8 of 44
POMS · 3 publications · 174 citations
3
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2 publications · 92 citations
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Repository · 2 publications · 34 citations
2
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2 publications · 210 citations
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JM · 2 publications · 1.3K citations
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1–5