Assessing store performance models

Mathematics

• Performance Model 100%
• Chain 25%
• Customers 23%
• Model 22%
• Quality Management 18%
• Scanner 16%
• Multistart 16%
• Estimate 15%
• Market Model 15%
• Census 14%
• Rendering 14%
• Performance 13%
• Gradient Method 12%
• Genetic Algorithm 12%
• Planning 11%
• Overlap 11%
• Newton Methods 10%
• Fluctuations 10%
• Predict 10%
• Model-based 10%
• Internal 9%
• Covering 9%
• Prediction 9%
• Strategy 7%

Business & Economics

• Supermarkets 56%
• Performance 26%
• Genetic Algorithm 12%
• Scanner Data 11%
• Intensity of Competition 11%
• Management Quality 10%
• Prediction Accuracy 10%
• Sociodemographic Characteristics 10%
• Urban Environment 9%
• Gradient 9%
• Fluctuations 9%
• Market Forces 8%
• Census 8%
• Competitive Environment 7%
• Planning 6%
• United States of America 6%
• Competitors 6%

Engineering & Materials Science

• Sales 32%
• Quality management 10%
• Gradient methods 10%
• Genetic algorithms 5%
• Planning 5%