New Evidence on the Performance Advantages of Multihospital Systems

This study analyzes the performance effects of proprietary, multihospital systems. It is shown that the organizational structure of these systems may affect the operating costs of member hospitals. Estimating a cost function for Florida hospitals and controlling for other factors, the average costs of HUMANA hospitals are empirically about 17 percent lower, while the costs of other leading chains are about 12 percent lower than not-for-profit institutions. These results contrast with earlier studies that found no such differences. Furthermore, the cost differential that exists between system and non-system hospitals can be largely attributed to technical efficiencies arising from chain ownership.     

Market efficiency and cointegration: Some evidence in Pacific-Basin black exchange markets

This paper investigates the efficiency of the black exchange markets in Indonesia, Malaysia, the Philippines, South Korea, Taiwan, and Thailand. The study applies unit root and cointegration tests to examine black exchange market efficiency of Pacific-Basin countries. The generating process of black exchange rates appears to be a random walk. This is consistent with Gupta (1981) and other foreign exchange rate unit root test studies. Johansen cointegration tests are performed for these black exchange markets together with Japan and Singapore. The results suggest that there is at least one unit root among the black market exchange rates. Hence, black exchange markets are not collectively efficient.     

AN EVALUATION OF PROCESS‐ORIENTED SUPPLY CHAIN MANAGEMENT FRAMEWORKS

Supply chain management (SCM) is implemented by integrating corporate functions using business processes within and across companies. Several process‐oriented frameworks for SCM have been proposed but only two of these provide sufficient detail to enable implementation. We evaluate the Supply‐Chain Operations Reference (SCOR) framework and The Global Supply Chain Forum (GSCF) framework using four criteria and identify their relative strengths and weaknesses.     

CRIME AND POVERTY: A SEARCH‐THEORETIC APPROACH*

Numerous studies document that criminal activity is positively related to unemployment and negatively related to educational attainment levels within given communities. We study this phenomenon in the context of a search‐equilibrium model, in which agents choose between formal employment and pursuing crime‐related activities (theft). Prior to their “occupational choices,” agents undertake costly schooling, raising their productivity. Crime acts, in essence, as a tax on human capital by affecting the probability that a worker's earnings (possessions) are subsequently appropriated. There are multiple equilibria. High crime, low levels of educational attainment, long spells of unemployment, and poverty are correlated across them.     

The Contingent Value of Responsive and Proactive Market Orientations for New Product Program Performance*

While the benefits of being market oriented are largely accepted, a group of scholars and managers remain skeptical. Marketing scholars have sought to counter the criticisms leveled against market orientation (MO) by arguing that it has both responsive and proactive dimensions. However, few studies have empirically examined the complexity of the effects of these dimensions on firm performance. Drawing on theories of resource‐based advantage and organizational search behavior, this article advances understanding by arguing that responsive and proactive market orientations have curvilinear effects on product development performance, that their interaction may be positively related to product development performance, and that their effects on new product program performance are moderated differentially by the organizational implementation conditions and marketing function power. Survey results of 175 U.S. firms indicate support for most of the hypotheses. Specifically, whereas responsive MO has a U‐shaped relationship with new product program performance, proactive MO has an inverted U‐shaped relationship with new product program performance. Contrary to the arguments presented here, the interaction of both orientations is negatively related to new product program performance. This study finds that both orientations are needed; however, new product program performance is enhanced when one is at higher level and the other is at lower level. Finally, responsive MO is only positively related to new product program performance under specific conditions such as when strategic consensus among managers is high. On the other hand, the positive effect of proactive MO on new product program performance is further strengthened when learning orientation and marketing power are high. Overall, this study suggests that the effects of responsive and proactive MO on new product program performance are more complex than previously theoretically argued and empirically examined.     

Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies

We propose two novel approaches for feature selection and ranking tasks based on simulated annealing (SA) and Walsh analysis, which use a support vector machine as an underlying classifier. These approaches are inspired by one of the key problems in the insurance sector: predicting the insolvency of a non‐life insurance company. This prediction is based on accounting ratios, which measure the health of the companies. The approaches proposed provide a set of ratios (the SA approach) and a ranking of the ratios (the Walsh analysis ranking) that would allow a decision about the financial state of each company studied. The proposed feature selection methods are applied to the prediction the insolvency of several Spanish non‐life insurance companies, yielding state‐of‐the‐art results in the tests performed. Copyright © 2005 John Wiley & Sons, Ltd.     

Artificial neural networks with feature transformation based on domain knowledge for the prediction of stock index futures

A feature transformation method based on domain knowledge for arti?cial neural networks (ANNs) is proposed. The method of feature transformation based on domain knowledge converts continuous values into discrete values in accordance with the knowledge of experts in speci?c application domains. This approach effectively ?lters data, trains the classi?er, and extracts the rules from the classi?er. In addition, it reduces the dimensionality of the feature space, which not only decreases the cost and time in the operation but also enhances the generalizability of the classi?er. The experimental results of the proposed approach will be compared and tested statistically with the results of the linear transformation method. The results show that the method of feature transformation based on domain knowledge outperforms the linear transformation in modelling of ANNs. Copyright © 2004 John Wiley & Sons, Ltd.     

The service sector of Cuba: An analysis and critique

The Cuban economy has experienced a significant increase in foreign direct investment over the past decade due to the end of the Soviet Union and the establishment of more liberal trade policies. Although the U.S. embargo of trade with Cuba still exists, there has been movement lately that suggests the end of the four‐decades‐old policy. The purpose of this article is to analyze the current Cuban business environment and to identify potential entrepreneurial opportunities in the service sector. Major trade partners are also reviewed and managerial implications discussed. © 2006 Wiley Periodicals, Inc.     

Trust,terrorism, and technology

The development of civilization implies an evolution of complex trust mechanisms which integrate the social system and form bonds which allow individuals to interact, even if they are strangers. Key elements of trust are predictability of consequences and an evaluation of consequences in terms of self-interest or values. Values, ethics, and norms enhance predictability. The terrorist introduces an unpredictable event which has negative consequences, thus destroying trust. However, terrorist-like situations occur in day-to-day activities. Technology itself makes the world more interdependent and less predictable. Furthermore, technological accidents and disasters, which are also unpredictable and negative, may prompt individuals to perceive technology as if it were a terrorist. Louis H. Bluhm is Associate Professor of Sociology at the Mississippi State University. He has written several articles which have been published in Rural Sociology, and with P. M. Shingi he has written a chapter in a book.     

Organizational capabilities in e-commerce: An empirical investigation of e-brokerage service providers

E-commerce not only has tremendous potential for growth but also poses unique challenges for both incumbents and new entrants. By examining drivers of firm performance in e-commerce from a capabilities perspective, the authors conceptualize three firm capabilities that are critical for superior firm performance in e-commerce: information technology capability, strategic flexibility, and trust-building capability. The extent and nature of market orientation is conceptualized as a platform for leveraging e-commerce capabilities. The authors test the effects of e-commerce capabilities on performance (e.g., relative profits, sales, return on investment) using data from 122 e-brokerage service providers. The results indicate that information technology capability and strategic flexibility affect performance given the right market orientation. Amit Saini (asaini2@unl.edu) is an assistant professor of marketing at University of Nebraska-Lincoln. He conducts research in the area of marketing strategy, technology-marketing interface, e-commerce strategy, and customer relationship management. He has presented papers at major conferences, and his research appears in theJournal of the Academy of Marketing Science and American Marketing Association—Marketing Educator’s Conference Proceedings. His industry experience includes sales management and quantitative market research. Jean L. Johnson (Johnsonjl@wsu.edu) is a professor of marketing at Washington State University. Her research includes partnering capabilities development in, and management of, interfirm relationships and management of international strategic alliances. Her research appears in journals such as theJournal of Marketing, the Journal of International Business Studies, theJournal of the Academy of Marketing Science, and theInternational Journal of Research in Marketing. She serves on the editorial boards of theJournal of Marketing, theJournal of the Academy of Marketing Science, the Journal of Retailing, theJournal of Business and Industrial Marketing, and reviews for others. She spent several years in the advertising industry and has lived, taught, and conducted research in France and Japan. She has been selected to cochair the 2006 winter American Marketing Association (AMA) conference.