Marketing

The profitability of remanufacturing systems for different cost, technology, and logistics structures has been extensively investigated in the literature. We provide an alternative and somewhat complementary approach that considers demand-related issues, such as the existence of green segments, original equipment manufacturer competition, and product life-cycle effects. The profitability of a remanufacturing system strongly depends on these issues as well as on their interactions.

We model the commercial World Wide Web as a directed graph that emerges as the equilibrium of a game in which utility maximizing websites purchase (advertising) in-links from each other while also setting the price of these links. In equilibrium, higher content sites tend to purchase more advertising links (mirroring the Dorfman-Steiner rule) while selling less advertising links themselves.

Companies need tools and models that accurately describe and forecast the diffusion process of new products. Most tools for predicting the diffusion of an innovation, given early data, use aggregate models (such as the Bass model) that capture the impact of advertising and word-of-mouth on adoption. Because of their aggregate nature, however, (i.e., these models treat each month or each year as one observation), they are often unable to produce reliable predictions early in the diffusion process, when such predictions would be most helpful (e.g., in order to adjust the launch campaign).

The massive costs of health care ($1.7 trillion and counting) and the problems posed by various diseases (e.g., AIDS, obesity, diabetes, cancer, heart disease, mental illness) are well known and documented. People worry more about their personal health care costs than losing their jobs, being a victim of a violent crime, or terrorist attacks. As a consequence, massive efforts to improve knowledge about detection, prevention, and treatment have been undertaken. In addition, there is growing realization that health communication strategies need to be tailored to specific segments.

Perhaps because of its importance, brand performance has been approached in several different ways by several different researchers employing several different measures. Lehmann, Keller, and Farley examine a broad range of these measures to explore their overlap and to uncover core underlying dimensions and the structure of brand performance metrics that balance parsimony and completeness. They also examine how different dimensions of brand performance and profiles of leading brands vary by country (i.e., the United States and China).

This article explores the use of marketing metrics by a sample of Vietnamese firms, providing an example of the use of marketing metrics in a "transition" economy as it grows and becomes more market and marketing driven. The analysis reports usage frequency and then develops a set of "correlation chains" linking firm characteristics, metric use, and various indicators of performance. Vietnamese managers generally report that several types of metrics are used. Ownership structure and industry also impact which metrics are utilized.

Product discussion boards are a rich source of information about consumer sentiment about products, which is being increasingly exploited. Most sentiment analysis has looked at single products in isolation, but users often compare different products, stating which they like better and why. We present a set of techniques for analyzing how consumers view product markets. Specifically, we extracted relative sentiment analysis and comparisons between products, to understand what attributes users compare products on, and which products they prefer on each dimension.

In this paper, we examine the pattern of correlation among consumer price sensitivities for customer purchase incidence decisions across complementary product categories. We use a hierarchical Bayesian multivariate probit model to uncover this pattern. We estimated this model using purchase incidence data for six categories involving three pairs of complementary products.