Domestic and Foreign Sales When Prices in Both Markets are Uncertain

This paper obtains comparative static results for a firm that sells a single output domestically and abroad when prices in both markets are uncertain. Results are obtained for both constant absolute risk aversion and for Ross decreasing absolute risk aversion, using a diagrammatic analysis which exploits the properties of expected marginal utility contours. The results depend crucially on whether foreign and domestic sales are net substitutes or complements. The model is more complex and yields fewer unambiguous results – particularly in the case of substitutes – than when there is price uncertainty in only one market.     

Marketing modeling reality and the realities of marketing modeling

This paper shows how analytic modeling research in the Marketing field is focused on answering questions of “How?” and “Why?” It describes the disciplines involved in analytic modeling; examines how the key criteria of parsimony and robustness help to define a good model; and discusses other goodness criteria, including appropriate use of analytic techniques, applicability of the model to institutionally rich, real-world problems, non-obvious results, generalizability, and ability to provide insight where other research techniques do not work. The paper defines and discusses key concepts in analytic models of distribution channels, including double marginalization, coordination, incentive alignment and contract design, strategic substitutability and complementarity, externalities, and principal–agent problems. Next, the paper summarizes research presented in the session on analytic models in channels at the Erin Anderson conference; and finally, the paper suggests avenues for future analytic modeling research.     

Change-point analysis through integer-valued autoregressive process with application to some COVID-19 data

In this article, we consider the problem of change-point analysis for the count time series data through an integer-valued autoregressive process of order 1 (INAR(1)) with time-varying covariates. These types of features we observe in many real-life scenarios especially in the COVID-19 data sets, where the number of active cases over time starts falling and then again increases. In order to capture those features, we use Poisson INAR(1) process with a time-varying smoothing covariate. By using such model, we can model both the components in the active cases at time-point t namely, (i) number of nonrecovery cases from the previous time-point and (ii) number of new cases at time-point t. We study some theoretical properties of the proposed model along with forecasting. Some simulation studies are performed to study the effectiveness of the proposed method. Finally, we analyze two COVID-19 data sets and compare our proposed model with another PINAR(1) process which has time-varying covariate but no change-point, to demonstrate the overall performance of our proposed model.     

The Impact of Relational Supplier Exchange on Financial Performance: A Study of the Hospital Sector

In the hospital context, when responsiveness is high, relational exchange with suppliers associates with better financial performance. But when a hospital’s responsiveness is low, relational exchange has no effect on performance—the hospital’s inability to adopt “things that are new” and extirpate “things that are old” eclipses the potential financial benefits of long‐term, relational exchange with suppliers. Furthermore, the quality orientation of the hospital and supplier uncertainty associate with relational supplier exchange—these effects are not moderated by hospital responsiveness. The net effect is that a quality orientation in a hospital impacts financial performance only when hospital responsiveness is high.     

Strategic Assortment Decisions in Information-Intensive and Turbulent Environments

Recent trends in the environment have caused changes in consumers’ store patronage, price sensitivity, and need for variety. These changes have led retailers to reconsider some of their assortment options. Specifically, we discuss how they may have led some retailers to move from a single-format to a multiple-format channel portfolio, how they may have contributed to the growth of the discount format, and how they tend to influence the private-label portfolio of many retailers. We end by showing how these assortment changes may, in turn, have various welfare, logistical, and tactical implications.     

Do credit shocks matter? A global perspective

This paper examines the importance of credit market shocks in driving global business cycles over the period 1988:1–2009:4. We first estimate common components in various macroeconomic and financial variables of the G-7 countries. We then evaluate the role played by credit market shocks using a series of VAR models. Our findings suggest that these shocks have been influential in driving global activity during the latest global recession. Credit shocks originating in the United States also have a significant impact on the evolution of world growth during global recessions.     

The pace of intermediate‐product introductions

This paper models frequency of introductions of newer generations of an intermediate‐product sold by an upstream ‘developer’ firm to downstream manufacturer firms. The manufacturers use the intermediate product to manufacture final products, and are heterogeneous in the time it takes them to develop and introduce final products based on the latest generation of the intermediate product. This downstream heterogeneity could arise, for example, from heterogeneity in manufacturers' technical skills or existing patent regimes. Among other results, we show that the optimal frequency of introduction of the intermediate‐product can increase or decrease in the extent of this downstream heterogeneity. Copyright © 2006 John Wiley & Sons, Ltd.     

Gulping the Poison: How Webcare Attributes Reduce Damages to Brands Caused by Negative Reviews

Negative reviews written by unsatisfied consumers can significantly erode the image of a brand. Therefore, marketers regularly respond to these reviews through written messages posted on online channels: a practice known as webcare. The present article seeks to explore whether selected webcare attributes, such as strength, sidedness, and ownership, have any effects on consumers’ forgiveness of the service failures caused by transgressing firms. Furthermore, the effects of consumer forgiveness on satisfaction with webcare, brand attitudes, and purchase intentions are also investigated. The article examines these relationships in the context of a fine dining restaurant (Study 1) and a hotel (Study 2). The results reveal that webcare attributes play a salient role in achieving consumer forgiveness. Furthermore, the studies also reveal that consumer forgiveness leads to satisfaction with webcare and improved brand attitudes and purchase intentions.