Disciplina de mercado en el sistema bancario centroamericano

This article empirically tests the market discipline hypothesis in the Central American banking system. Whether the riskier banks (with the worst bank fundamentals) pay higher interest rates and attract fewer amounts of deposits. We use dynamic panel data models and the generalized method of moments (SYS GMM) estimator, and a sample of 30 banks from six Central American countries over the years 2008-2012. In contrast to most of the previous empirical literature, particularly in developed countries, in Central America we did not find evidence for market discipline. The results are robust to different indicators of the bank fundamentals, to the effect of the internal demand for funding by banks, and to other econometric methods. These findings indicate weakness in the disclosure policy of banking information.     

Success factors in a CRM strategy: technology is not all

Organisations today need to create, maintain and reinforce relationships with customers. Customer Relationship Management (CRM) seems to have helped firms to better understand their relationships. However, past studies have looked at technology and customer orientations (COs) as key factors. This paper aims to analyse the simultaneous effect of Market Orientation (MO) (rather than CO), Knowledge Management (KM) and other organisational factors in order to explain how to implement a successful CRM. Findings suggest that MO and KM may influence CRM success. Data also suggest that particular organisational factors such as employees, leadership and specific know-how may be key factors in determining the success of CRM. For efficiency resource management, this paper recommends to focus not as much in technology, but on programmes for selection, training and motivation of employees which may enhance CRM objectives. Companies may also pursue a higher customer value by putting in place and reinforcing KM schemes in specific know-hows about CRM.     

Country of Origin Labeling and Structural Change in U.S. Imports of Canadian Cattle and Beef

Mandatory country of origin labeling (COOL) has become a thorny issue in U.S.–Canada bilateral trade relations. We undertake an ex post investigation of the impact of the law on U.S. imports of Canadian beef, feeder, and fed cattle. Using a partial equilibrium framework, we derive U.S. import demand equations for Canadian cattle and beef, and employ the Bai and Perron (1998, 2003) procedure for detecting multiple structural breaks with break points being endogenously determined. We find evidence that COOL may have caused significant structural change in U.S. imports of Canadian feeder and fed cattle. L’étiquetage du pays d'origine obligatoire est devenu un sujet épineux des relations commerciales entre le Canada et les États‐Unis. Dans la présente étude, nous effectuons une analyse ex post des répercussions de la Loi sur les importations américaines de viande de b?uf, de bovins d'engraissement et de bovins finis. À l'aide d'un modèle d’équilibre partiel, nous avons dérivé des équations de demande d'importation de bovins et de viande de b?uf de la part des États‐Unis et nous avons utilisé les tests de Bai et Perron (1998, 2003) pour déceler les ruptures structurelles multiples, dont les points de rupture ont été déterminés de façon endogène. Les résultats de notre étude montrent que l’étiquetage du pays d'origine peut avoir causé un changement structurel considérable sur les importations de bovins d'engraissement et de bovins finis.     

Improving an outpatient clinic utilization using decision analysis-based patient scheduling

This study presents a predictive model to be used in scheduling patients in an urban outpatient clinic. The model is based upon actual patient characteristics from a physical therapy clinic within an urban health and wellness center situated in a public university. A number of reported patients' characteristics such as age, education level, distance from the clinic, historical attendance records, etc. were examined to determine if they significantly impacted the patients' missing scheduled appointments (no-shows.) Decision tree analysis was used to develop a model that assessed the likelihood of a patient's no-show, using key patient characteristics and attendance records. Such a model can be used to assist with scheduling patients in an outpatient clinic, while attempting to increase the clinic's overall utilization. Four tree growing criteria were examined to develop the model with the strongest predictive power. Predictive power of each method was assessed by using the entire dataset as well as using split sampling. The results were then compared with those of a Bayesian networks model and a neural networks model. In addition, the trade-off between the selected decision tree model's predictive power versus simplicity of the associated classification rules was examined. We also assessed the impact of various levels of overbooking on the clinic's utilization when using patients' schedules based on the predictive model.     

Outdoor recreation participation and views on resource development and preservation

Abstract

Views on the preservation of resources versus their development for recreation are compared among participants in three types of outdoor recreation: “appreciative”; activities (cross‐country skiing, hiking, and canoeing); “consumptive”; activities (fishing and hunting); and “mechanized”; activities (motorboating, snowmo‐biling, and trail biking). The results from a 1984 questionnaire survey conducted in Edmonton and Calgary, Canada, indicate a stronger preservationist orientation among participants in appreciative activities, whereas (with the exception of hunters) participants in consumptive and mechanized activities hold stronger pro‐development views. These differences cannot be attributed to simultaneous variations in socioeco‐nomic characteristics or environmental attitudes among the recreational groups. The findings suggest that differences in outdoor recreational activity preferences represent an important source of variation in views about appropriate levels of preservation versus development of Alberta's natural and wildernesss resources.     

Job Classification for the Purpose of Making Optimal Decisions Concerning Management Control

The job classification literature has been dominated by a micro‐level orientation reflective of the needs of specialists in human resources. In contrast, we take a multidisciplinary approach involving both micro‐ and macro‐level variables to propose a relatively simple system comprised of four job classes. Our model isintended to inform management as to the type and mix of controls (e.g., centralization, formalization, and various human resources policies) that could be applied to different job types to optimally promote the overall goals of the organization. Fuzzy numbers analysis is employed to illustrate the application of the system using four jobs in a car dealership in Spain. Copyright © 2012 ASAC. Published by John Wiley & Sons, Ltd.     

BOOK REVIEWSS

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Schott, Jeffrey J. (Ed.), Completing the Uruguay Round, Washington, DC: Institute for International Economics, 1990, x + 223 pages.     

Socioeconomic variations in perceived barriers to recreation participation among would‐be participants

Abstract

The effects of fifteen barriers to participation were examined among people who expressed a desire for but were unable to participate in a new recreational activity. Work commitments, overcrowding of facilities, and lack of partners were the three main barriers. The effects of barriers were not perceived uniformly across the sample but varied between subgroups defined according to socioeconomic variables: the people most likely to be affected by barriers to participation included the poor, the elderly, and single parents. The extent to which recreation practitioners can and should respond to these kinds of research findings is discussed, and several ways in which the effects of barriers to participation might be modified or alleviated are evaluated.