Estimating current profitability at the individual customer level is important to distinguish the more profitable customers from the less profitable ones. This is also a first step in developing estimates of customers' lifetime values. This exercise, however, takes on additional complexities when applied to an intermediary in a supply chain, such as a distributor, because the costs of servicing a retail customer include not only those incurred directly in servicing this customer but also those incurred by the distributor in dealing with its own vendors for goods supplied to this customer. The authors develop a general model and measurement methodology to relate customer profitability to customer characteristics in a supply chain. The authors show how heterogeneity in customer purchasing characteristics leads to important profit implications and illustrate the implementation of the methodology using data from a large distributor that supplies to grocery and other retail businesses.Rakesh Niraj is a doctoral candidate in marketing, Mahendra Gupta is Associate Professor of Accounting, and Chakravarthi Narasimhan is Philip L. Siteman Professor of Marketing, John M. Olin School of Business, Washington University in St. Louis. The authors thank the three anonymous JM reviewers for their comments and suggestions on previous versions of the article. Workshop participants at the

Researchers disagree about the critical drivers of success in and efficiency of high-tech markets. On the one hand, some researchers assert that high-tech markets are efficient with best-quality brands being dominant. On the other hand, many scholars suspect that network effects lead to perverse markets in which the dominant brands do not have the best quality. The authors develop scenarios about the relative importance of these effects and the efficiency of markets. Empirical analysis of historical data on 19 categories shows that though both quality and network effects affect market share flows, in general markets are efficient. In particular, market share leadership changes often, switches in share leadership closely follow switches in quality leadership, and the best-quality brands, not the ones that are first to enter, dominate the market. Network effects enhance the positive effect of quality.

PurposeThis paper aims to examine the mediating role of attitudinal loyalty in the relationship between satisfaction and customer behavioral intentions such as willingness to pay more and internal and external complaining responses. It also seeks to examine the nonlinear effects in the relationship between satisfaction, attitudinal loyalty and behavioral intentions.Design/methodology/approachThe paper adopted the structural equation modeling approach to test the hypotheses (sample size 202). It used Marsh et al.'s unconstrained method to test latent quadratic effects in the conceptualized relationships.FindingsThe results support the fully mediating role of attitudinal loyalty in the relationship between satisfaction and behavioral intentions. The paper also finds partial support for nonlinear effects in the relationship. Results support nonlinearity, and in particular diminishing sensitivity, in the link from attitudinal loyalty to willingness to pay more.Originality/valueThe paper adds to the existing literature by detangling the complex relationships between satisfaction, attitudinal loyalty and behavioral intentions such as willingness to pay more and external and internal complaining responses. In particular, this is the first study to simultaneously examine the nonlinear effects of attitudinal loyalty on multiple behavioral intentions constructs. This study also establishes the superiority of a fully mediated model, in which satisfaction affects behavioral intentions through attitudinal loyalty, over a partially mediated model.

We use the context-general and context-specific factor approach to examine the generalizability of satisfaction and loyalty models across two disparate online contexts—online retailing and content site browsing. Our conceptual models include the moderating effects of user-characteristic Web expertise, besides main effects of Web site factors and Web expertise. Results indicate that satisfaction and loyalty judgments are sensitive to both context-general and context-specific determinants, as well as to some interactions between them. Among context-general determinants, ease of use and customer service are positively related to satisfaction, Web community to loyalty, and Web expertise to both satisfaction and loyalty. Flow, a context-specific determinant, has a significant positive effect on satisfaction alone; security affects loyalty alone; and fulfillment/reliability and information quality are significant predictors of both satisfaction and loyalty. The results show that Web expertise moderates the effect of ease of use on satisfaction. The study contributes to marketing theory and practice by identifying satisfaction and loyalty mechanisms that are potentially generalizable across the two online contexts and providing a guiding framework for simultaneous consideration of context-specific and context-general factors in future research.

We examine the trade-offs between demand information and inventory in a distribution channel. While better demand information has a positive direct effect for the manufacturer in improving the efficiency of holding inventory in a channel, it can also have the strategic effect of increasing retail prices and limiting the extraction of retail profits. Having inventory in the channel can help the manufacturer to manage retail pricing behavior while better extracting retail surplus. Thus, even if the information system is perfectly reliable, the manufacturer might not always want to institute an information-enabled channel over a channel with inventory. We show this first in a channel with a single retailer, where the channel with perfect information is preferred over the channel with inventory only if the marginal cost of production is sufficiently high. We also analyze a channel with an imperfectly reliable information system and find that if the manufacturer were to choose the precision of the demand information system, it might not prefer perfect information, even if such information was costless to acquire. In a channel with competing retailers, the channel with perfect information is preferred when retail competition is sufficiently intense. Thus, the presence of inventory can play a role in managing competition among retailers and in helping the manufacturers to appropriate surplus especially when retailers are sufficiently differentiated.uncertainty, distribution channels, competitive strategies

This paper advances the literature on multicategory demand models by simultaneously handling more than one purchase decision of the household. We propose a two-stage bivariate logit model of incidence and quantity outcomes in multiple categories. Our results show that cross-category promotional spillovers are asymmetric between the two product categories of bacon and eggs. The total retail profit responds more to bacon price than to egg price. Promoting bacon is found to have a bigger impact on egg profit than the impact of egg promotion on bacon profit. We decompose (1) the total retail profits, as well as (2) the cross-category profit impact of a price promotion, into its two components, and find that (1) 23% (67%) of the total retail profit impact of a promotion on bacon (eggs) arises on account of quantity effects, and (2) 40% (33%) of the increase in egg (bacon) profit from promoting bacon (eggs) is on account of quantity effects.

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