The advent of e-commerce has prompted many manufacturers to redesign their traditional channel structures by engaging in direct sales. The model conceptualizes the impact of customer acceptance of a direct channel, the degree to which customers accept a direct channel as a substitute for shopping at a traditional store, on supply-chain design. The customer acceptance of a direct channel can be strong enough that an indepent manufacturer would open a direct channel to compete with its own retailers. Here, direct marketing is used for strategic channel control purposes even though it is inefficient on its own and, surprisingly, it can profit the manufacturer even when so direct sales occur. Specifically, we construct a price-setting game between a manufacturer and its independent retailer. Direct marketing, which indirectly increases the flow of profits through the retail channel, helps the manufacturer improve overall profitability by reducing the degree of inefficient price double marginalization. While operated by the manufacturer to constrain the retailer's pricing behavior, the direct channel may not always be detrimental to the retailer because it will be accompanied by a wholesale price reduction. This combination of manufacturer pull and push can benefit the retailer in equilibrium. Finally, we show that the mere threat of introducing the direct channel can increase the manufacturer's negotiated share of cooperative profits even if price efficiency is obtained by using other business practices.
The cross-product term in moderated regression may be collinear with its constituent parts, making it difficult to detect main, simple, and interaction effects. The literature shows that mean-centering can reduce the covariance between the linear and the interaction terms, thereby suggesting that it reduces collinearity. We analytically prove that mean-centering neither changes the computational precision of parameters, the sampling accuracy of main effects, simple effects, interaction effects, nor the 2 . We also show that the determinants of the cross product matrix are identical for uncentered and mean-centered data, so the collinearity problem in the moderated regression is unchanged by mean-centering. Many empirical marketing researchers commonly mean-center their moderated regression data hoping that this will improve the precision of estimates from ill conditioned, collinear data, but unfortunately, this hope is futile. Therefore, researchers using moderated regression models should not mean-center in a specious attempt to mitigate collinearity between the linear and the interaction terms. Of course, researchers may wish to mean-center for interpretive purposes and other reasons.moderated regression, mean-centering, collinearity
The tailoring of a firm's marketing mix to the individual customer is the essence of one-to-one marketing. In this paper, we distinguish between two forms of one-to-one marketing: personalization and customization. Personalization occurs when the firm decides what marketing mix is suitable for the individual. It is usually based on previously collected customer data. Customization occurs when the customer proactively specifies one or more elements of his or her marketing mix. We summarize key challenges and knowledge gaps in understanding both firm and customer choices in one-to-one markets. We conclude with a summary of research opportunities.
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