Strategic Internet application trends in supply chain management

The Internet is evolving as a powerful force in the new marketplace where the nexus of competition has changed from individual firms to efficient supply chain networks both between firms and within industries. This study explores Internet adoption patterns and operational applications in US supply chain networks. The data reveal that the integration of the Internet into supply chain management applications has increased and has moved away from indiscriminate application of novel Internet technologies towards becoming a focused endeavor with precise expectations and measurable goals. Specifically, the study finds that Internet usage within supply chains is maturing as evidenced by enhanced and increased productivity, reduced costs and increased profit for participating firms.     

Price volatility,international market links,and their implications for regulatory policies

Conclusions The October 1987 stock market crash spawned an abundance of research papers, as scholars attempted to explain what seemed at the time, and to some extent remains, an inexplicable event.Except for the period immediately around the crash, there is only meager evidence that international linkages across markets have become tighter over time. Yet the crash was worldwide in scope, and its similarity across countries was uncanny. Just on the face, this international similarity puts doubt to such explanations as particular macroeconomic events in one country, failure of a given country's market system, or simultaneous changes in underlying fundamentals (which were quite different across countries).Assigning the origination of the crash to one country cannot be entirely ruled out, however, because of the possibility of a non-fully revealing equilibrium contagion process of the type suggested by King and Wadhwani (1988). Such a process would allow a world-wide crash to begin by a particular news event or even by a market mistake in one country. Evidence in favor of this process is that international correlations of returns increased dramatically during the crash period. However, this increase is consistent with other explanations, such as transaction costs hindering international arbitrage except during periods of high volatility.Was the crash the bursting of a bubble? Some evidence seems to support this proposition: for example, in the majority of countries, the pre-crash period displayed significant serial dependence in stock returns, dependence that was definitely not present in the post-crash period. However, further work is necessary to ascertain whether this measured serial dependence is unusual relative to what one would have expected to find, even in a perfectly random process, by choosing a sample period that happened to culminate in a random peak. Ross (1987) shows that such ex post sample period selection will induce upward bias in estimates of serial dependence. Cross-country tests failed to detect this bias, but there are several ambiguities in the tests that will have to be resolved in future work.The crash is history. What implications, if any, does it have for regulatory policy? Is there evidence that popular regulations or rules would have mitigated the crash, or that they would decrease price volatility in general? There is very little evidence in favor of the efficacity of margin requirements, price limits, or transactions taxes. Despite a large number of empirical studies, no one has provided evidence that margin requirements have an impact on volatility. There has been at least one recent paper claiming the contrary, but a careful examination of its methods have uncovered enough problems to cast those results into doubt.As for price limits, there must be a very short-term impact on measured volatility, for the measured market price at a trading halt is likely to understate the direction of movement. Yet even for daily data, the cross-country evidence is slim that price limits reduce volatility, and there is no evidence at all that they work over periods as long as a week. In other words, trading halts caused by limits seem to have no effect on true volatility.Transaction taxes are inversely but insignificantly correlated with volatility across countries, and the effect is too questionable for taxes to be used with confidence as an effective policy instrument.     

On the economics of nonprofit sellers: Output policies in community hospitals

In applications of the theory of the nonprofit firm it is commonly assumed that output and sales are equal. This paper proposes that the nonprofit firm may plan to produce, and actually produce, an output larger than it sells. We call such a strategy an "excess output" production policy. The policy can lead to chronic excess capacity, and it always implies that seller average revenue exceeds unit costs evaluated at the level of sales. Using the nonprofit community hospital as an example, the paper examines the characteristics of excess output policies and the possibilities for controlling their performance impacts. Data on a sample of U.S. community hospitals are used to test for the existence of excess output policies in the hospitals are used to test for the existence of excess output policies in the hospital sector. The results give qualified support for the conclusion that some hospitals follow excess output production policies.     

Proof of nonparticipation in a price fixing conspiracy

When a group of firms colludes on price, the industry price will rise even when there are some firms that do not participate in the conspiracy. If the government or private parties file antitrust suits, the noncolluders face the problem of establishing their innocence since their prices rise along with those of the colluders. We propose a simple output test. Under various models of oligopoly pricing—Bertrand, Cournot, and Stackelberg—we show that the colluders restrict their output while the noncolluders take advantage of the higher price by expanding their outputs. Thus, distinguishing between colluders and noncolluders involves simply observing the output behavior of the industry members.The authors appreciate the support of the Public Policy Research Center at the University of Florida. We regret that B&R Associates is purely imaginary as is the industry.     

National Vacancy Rates and the Persistence of Shocks in U.S. Office Markets

In this paper, we develop and estimate a model that decomposes the variance in office vacancy rates into market-specific, time-specific, and random components. The results indicate significant differences in natural vacancy rates across markets. We also find some persistence in deviations from these natural vacancy rates. The analysis is applied to both central business district (CBD) and suburban office markets. We find that natural vacancy rates differ across CBD markets and across suburban markets. Further, the persistence of disequilibrium in one CBD market seems to differ significantly from that in another. This is not shown to be true for suburban markets.     

Identifying Key Customers for Novel Industrial Products

Managers responsible for novel industrial products seek to identify their most productive customers promptly, as a basis for deployment of marketing and development resources. Using a trial-and-adoption model, based upon invoice data from sales of novel industrial products over a five-year period, Richard Cardozo, David Smith and Madhubalan Viswanathan show that initial interpurchase interval (the time from initial purchase to first repeat purchase) identifies high-volume customers, no matter when they first purchased. In addition to demonstrating the usefulness of a trial-and-adoption model in analyzing purchases of novel industrial products, this study also describes for the first time four distinct purchase patterns for novel industrial products.     

Alternative Mortgage Instruments, Qualification Constraints and the Demand for Housing: An Empirical Analysis

Government-guaranteed mortgage loans (GFRMs) and adjustable-rate mortgages (ARMs) were introduced to make payment to income (PTI) and loan-to-value (LTV) qualification conventions less restrictive. This paper analyzes the effect of GFRMs and ARMs on the demand for housing. Using a large national data set for the 1988 to 1989 period, we employ a two-stage procedure to estimate housing demand. In the first stage, a multinomial logit model estimates the probability of choosing an FRM, ARM or GFRM. Predicted values from the logit are used to construct user costs and estimate housing demand. Using the model estimates, we simulate demand under four different mortgage availability regimes: FRM, FRM and GFRM, FRM and ARM and all three. These simulations indicate that GFRMs, by relaxing LTV constraints, increase housing demand by approximately 6.2% relative to the FRM regime; the addition of ARMs, by relaxing both PTI and LTV constraints, raises demand by an additional 6%, for a total of 12.2% with inclusion of all alternatives.     

Cultural influences on the design of incentive systems: The case of East Asia

Arguing that culture moderates the potency of various incentives in motivating employees, we propose a culture-contingent model of incentive system design in this article. Four nation-level determinants of culture are identified: historical events, economic/political structure, geographical location, and language characteristics. Based on evidence found in East Asia, specific propositions that either relate a national characteristic to some cultural attributes or predict how a cultural characteristic favours a particular type of incentive system are generated. The implications of this culture-contingent model for incentive system design in multinational firms are discussed.We would like to thank Donna Randall for her helpful comments on an earlier draft.