Issues in Marketing Online Insurance Products: An Exploratory Look at Agents' Use, Attitudes, and Views of the Impact of the Internet

This article uses a survey of insurance agents in Florida to examine the manner in which insurance agents use and view the Internet as a method of marketing insurance products. The results of the survey suggest that the agents’ use of the Web and their attitudes toward the Web do not vary by demographic characteristics (including age, education level, gender, and income). In addition, the agents’ perception of the Internet as a threat (rather than an opportunity) does not vary by age or education level and is not correlated with their attitudes toward the use of the Web. However, while Internet marketing and other means of direct selling are viewed by the agents as equal threats to their sales, the agents believe that such marketing by other companies is a greater threat than that done by the companies they represent.     

Dividend Imputation and Shareholder Wealth: The Case of New Zealand

On April 1, 1988, New Zealand stopped the double taxation of dividends by implementing a full dividend imputation program. Because many believed that the tax advantage of debt had led to more highly leveraged firms subject to greater financial risk than was socially optimal, it was hoped the removal of incentives to finance with debt would result in a more efficient allocation of capital. The empirical results suggest that the shareholder wealth gain from dividend imputation was more than offset in firms with large debt levels. Moreover, an examination of debt ratios indicates debt levels declined in the post–imputation period.     

Book Reviews

The first review is of a business novel that contains important lessons about teams and teamwork. The enjoyable story is based on the product development activities of a fictitious Fungible Company, and is an absorbing book to read. The second review covers a book on Total Quality Management (TQM). As our reviewer points out, this book deals with both the philosophy and tools, covering all aspects of TQM.
Finally, we inaugurate a new feature, Brief Notes. From time to time, we will provide short comments about books that may have a specialized or some limited value to practitioners.     

Hypothesis tests using data envelopment analysis

A substantial body of recent work has opened the way to exploring the statistical properties of DEA estimators of production frontiers and related efficiency measures. The purpose of this paper is to survey several possibilities that have been pursued, and to present them in a unified framework. These include the development of statistics to test hypotheses about the characteristics of the production frontier, such as returns to scale, input substitutability, and model specification, and also about variation in efficiencies relative to the production frontier.     

Ecosystems,externalities, and economies

This paper incorporates an ecosystem model into a model of a simple economy. The decisionmaking agents in the ecosystem are individual organisms aggregated to the species level. A species may provide utility directly to humans, or it may provide utility indirectly because it is used either as a raw material in goods fabrication or as sustenance for other species. We describe a comparative static equilibrium of the ecosystem where species' demands for other species are equal to the supplies of those other species, and energy is conserved. The ecosystem is then embedded in the economy so that the effects of human intervention can be traced through both the ecosystem and the economy. Human intervention creates ecosystem externalities such that ecosystem equilibria are shifted and the new equilibria affect the utility or the production processes of other humans. This framework allows us to describe in principle which ecosystem services can be efficiently usurped by humans, which waste flows can be efficiently allowed into ecosystems, and which ecosystem organisms and physical attributes can be efficiently maintained.     

THE LAST MILE: AN EXAMINATION OF EFFECTS OF ONLINE RETAIL DELIVERY STRATEGIES ON CONSUMERS

The Internet has increased the level of importance of the end‐consumer market to transportation carriers. In two between subject experiments, carrier disclosure on retail merchant websites is examined as a strategic differentiation strategy. Predictions are offered concerning effects of carrier disclosure strategies on product delivery‐related expectations, consumer attitudes, and intentions to purchase a product online. Results from Study 1 reveal significant differences between disclosure and nondisclosure of the carrier for numerous product delivery‐related variables, as well as many differences between the six carriers examined in this first study. Study 2 extends these findings by showing that providing consumers with a choice of carrier leads to increased levels of satisfaction with the online experience and greater willingness to buy, relative to nondisclosure and disclosure strategies.     

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.     

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.