LOGISTICS OUTSOURCING RELATIONSHIPS: CUSTOMER PERSPECTIVES

This study attempts to infuse relationship marketing theory into the study of logistics outsourcing relationships. In particular, the study demonstrates that not all of the partnerships between customers and providers of third‐party logistics services are the same in terms of their level of development. The existence of distinct levels of partnership established previously in the logistics literature is partially supported and a relationship between level of partnership development and the customer perceptions of key relationship marketing elements and outcomes is established. While exploratory in nature, these findings suggest there are benefits for the increased costs of developing closer partnerships.     

RELATIONSHIP MAGNITUDE AND ITS ROLE IN INTERORGANIZATIONAL RELATIONSHIP STRUCTURE

Close relationships between and among supply chain members are becoming more prevalent. However, there is lack of agreement in the literature and in practice concerning the characteristics of different interorganizational relationships. The resultant confusion is an obstacle to the progression of research and could cause problems among firms in a supply chain. Based on previous research and an exploratory study conducted with company executives responsible for supply chain management activities, this article seeks to introduce the concept of relationship magnitude (i.e., the extent or degree of closeness or strength of the relationship) and differentiate it from relationship type (i.e., classes of relationships that share common traits). Implications for managers and opportunities for future research are provided.     

A STRUCTURAL EQUATION MODEL OF SUPPLY CHAIN MANAGEMENT STRATEGIES AND FIRM PERFORMANCE

This research develops and analyzes a theoretical framework for supplier management and customer relationship strategies, supply chain management strategy, and firm performance using structural equation modeling. Data used in the paper were collected from a comprehensive survey circulated to a wide variety of U.S. and European business executives. Based on the findings, a clearer picture of the practice and benefits of SCM and its strategic implications emerges.     

Does brand name imprinting in memory increase brand information retention?

This article introduces and explores the concept of brand name imprinting. Brand name imprinting is the process of creating and strengthening the brand name node in the brand memory network through brand name exposure. Brand name imprinting at a time prior to the presentation of specific brand information is posited to improve the retention of that information by strengthening the association between the brand name and brand information. The effect is proposed to be automatic and independent of other known means to strengthen memory associations (e.g., level of attention, cognitive elaboration, stimuli vividness, and stimuli distinctiveness). This research also proposes that brand names with neutral meaning better facilitate the imprinting effect, because they do not carry perceptual baggage that can interfere with the creation of new brand name–information associations. An experiment involving brand name imprinting and the learning of brand information supports these assertions. Implications for communication strategy and brand name selection are discussed. © 2003 Wiley Periodicals, Inc.     

Diffusion of Products with Limited Supply and Known Expiration Date

In this paper, we provide a model for diffusion of products, which are available in limited quantity until a known expiration date, after which the unsold products have no value. We consider the case of a performing arts company. The model development is built on the foundation of classical product diffusion model by Bass (1969) and the psychological effect known as the scarcity principle (Cialdini, 1985). Our empirical analysis results show that the proposed model can provide significant improvement in prediction of the products characterized by the scarcity effect.     

Conditioning as disintegration

Conditional probability distributions seem to have a bad reputation when it comes to rigorous treatment of conditioning. Technical arguments are published as manipulations of Radon–Nikodym derivatives, although we all secretly perform heuristic calculations using elementary definitions of conditional probabilities. In print, measurability and averaging properties substitute for intuitive ideas about random variables behaving like constants given particular conditioning information.
One way to engage in rigorous, guilt-free manipulation of conditional distributions is to treat them as disintegrating measures—families of probability measures concentrating on the level sets of a conditioning statistic. In this paper we present a little theory and a range of examples—from EM algorithms and the Neyman factorization, through Bayes theory and marginalization paradoxes—to suggest that disintegrations have both intuitive appeal and the rigor needed for many problems in mathematical statistics.     

Eliminating the Barriers to Employment Equity in the Canadian Workplace

Have employment equity programs achieved the goal of equity for women in the workplace? We argue that they have not because gender stereotypes still persist. In fact, they may have created resentment and antagonism towards successful women and employment equity initiatives. Arguments are developed for the Canadian government to create a self-regulating system, in which the government plays a role of educator as opposed to monitor.     

Price rigidities and institutional variations in markets with posted prices

Summary Standard laboratory posted-offer markets respond slowly and incompletely to demand shocks. In these one-sided markets, where sellers control the setting of prices, very little information is transmitted via the process of exchange. For this reason, traders have trouble distinguishing randomness in their own experience from changes in market fundamentals. This paper reports the results of twelve laboratory markets conducted to assess whether some common variants to standard posted-offer rules can correct the adjustment deficiences. Although discounting, multiple postings and excess demand information all improve performance, we find that response remains poor, and efficiencies low.Support for this research was provided by the National Science Foundation (SBR 9319842 and SBR 9320044), and the University of Virginia Bankard Fund. Data are archived at FTP address: fido.econlab.arizona.edu. We wish to thank Charles Plott and Shyam Sunder for useful comments on an earlier draft of this paper. The usual disclaimer applies.