Correlation of gender-related values of independence and relationship and leadership orientation

This study compares the relationship between the moral reasoning modes and leadership orientation of males versus females, and managers versus engineers/scientists. A questionnaire developed by Worthley (1987) was used to measure the degree of each participant's respective independence and justice, and relationships and caring moral reasoning modes. Leadership orientation values and attitudes were measured using the Fiedler and Chemers (1984) Least Preferred Coworker Scale.The results suggest that, although males differ from female in their dominant moral reasoning modes, managers are not distinguishable from the engineers/scientists they manage in terms of their moral reasoning mode or Least Preferred Coworker score.Clarence E. Butz is a Professor of Management in the School of Business and Management at Azusa Pacific University, California. Dr. Butz's teaching areas include general management, organizational behavior, and business ethics. Phillip V. Lewis is Dean of the School of Business and Management at Azusa Pacific University. He is the author of Organizational Communication (Gorsuch Scarisbrich, 1996) and Bank Ethics: An Exploratory Study of Ethical Behaviors and Perceptions in Small, Local Banks (Journal of Business Ethics, 11: 197–205, 1992).     

Managed competition

People don't like change. That includes materiel managers, administrators, and clinical providers. Managed competition or managed care will work if, and only if, the American professions and the American public recognize the value of highly educated and qualified clinical and nonclinical providers and if the health care industry responds in kind.     

Frictions, Heterogeneity and Optimality in Mortgage Modeling

The purpose of this article is to provide a unified framework for incorporating frictions into a theoretical options-pricing model (OPM) for mortgages. This article presents formulation for a frictions-adjustable mortgage model that integrates borrower heterogeneity while simultaneously preserving prepayment and default financial decisions. Our model demonstrates the flexibility of the OPM by simulating separate and concurrent effects of three categories of frictions on the mortgage and mortgage components. Researchers can use our example formulation to determine the effects of specific borrower characteristics on mortgage values without destroying the options theoretic framework.     

An Investigation of the Informational Role of Short Interest in the Nasdaq Market

This paper examines the relationship between the level of short interest and stock returns in the Nasdaq market from June 1988 through December 1994. We find that heavily shorted firms experience significant negative abnormal returns ranging from −0.76 to −1.13 percent per month after controlling for the market, size, book–to–market, and momentum factors. These negative returns increase with the level of short interest, indicating that a higher level of short interest is a stronger bearish signal. We find that heavily shorted firms are more likely to be delisted compared to their size, book–to–market, and momentum matched control firms.     

ADRs,Analysts, and Accuracy: Does Cross Listing in the United States Improve a Firm's Information Environment and Increase Market Value?

This paper investigates the relation between cross listing in the United States and the information environment of non‐U.S. firms. We find that firms that cross list on U.S. exchanges have greater analyst coverage and increased forecast accuracy than firms that are not cross listed. A time‐series analysis shows that a change in analyst coverage and forecast accuracy occurs around cross listing. We also document that firms that have more analyst coverage and higher forecast accuracy have higher valuations. Furthermore, the change in firm value around cross listing is correlated with changes in analyst following and forecast accuracy, suggesting that cross listing enhances firm value through its effect on the firm's information environment. Our findings support the hypothesis that cross‐listed firms have better information environments, which are associated with higher market valuations.     

Institutional evolution as an emerging focus in scenario planning

In this paper, we argue that institutional evolution should occupy a center stage in scenario development. During the last two decades, strategy models have neglected the institutional milieu, partly because analytical approaches to link institutional milieus and business contexts were underdeveloped. However, theoretical developments in institutional economics accomplished during this time period make it possible to connect the consequences of institutional evolution to strategy development. Further, with the increasing globalization of commerce, and the attendant complexity and turbulence in institutional evolution, particularly in emerging economies, significant opportunities for strategy related action may reside not in product markets but in institutional arenas. Institution-focused scenarios are therefore increasingly needed. We outline the key linkages between the institutional milieu and business contexts and illustrate how scenarios incorporating institutional parameters can shed light on the strategy context in the case of emerging economies.     

The Effects of Attributes on the Repeat Sales Pattern of Residential Property in Hong Kong

There has been copious research work on the development of house price models and the construction of house price indices. However, results in some studies revealed that the accuracy of such indices could be subject to selection bias when using only information from a sample of sold properties to estimate value movements for the entire housing stock. In particular, estimated house price appreciation is usually systematically higher among properties that change hands more frequently. It therefore suggests that the determination of important factors affecting the transaction frequency or intensity of a housing unit should be a more fundamental research question. This paper examines the possible factors that determine the popularity of residential unit by means of a repeated sales pattern. The Poisson regression model and event history analysis techniques are employed to assess the effect of attributes on transaction frequency and intensity. The event history analyses technique can take account of transaction-specific as well as time-dependent covariates, and therefore is recommended for analyzing repeated sales data in a real estate market. All transaction records during the period 1993–2000 from the Land Registry of one of the most popular residential estates in Hong Kong were used to illustrate the method. Unlike a response to favorable transaction price, good quality units do not necessarily inherently display a high transaction frequency. Rather, units of average quality are more likely to be transactionally active.