Modeling the Decision to Add New Products by Channel Intermediaries
利用某大型渠道中间商的新产品数据，用逻辑回归模型分析其接受或拒绝产品的决策，揭示不同变量的影响，模型拟合和验证效果极佳，对营销策略和系统绩效有启示。
Using data collected on new products presented to a major channel intermediary, the authors estimate logistic regression models to describe the intermediary's accept/reject decisions for those products. Results indicate how different variables influence those decisions. The logistic model is shown to fit extremely well with excellent validation performance. Implications of these results for marketing strategies and for improving performance of the marketing system are discussed.