Resource based relative value scale: a new challenge and opportunity for health care cost management

Beginning in 1992, the use of resource based relative value scale (RBRVS) will greatly change the way physicians are reimbursed for services to Medicare patients. This new system will also have implications for trust funds and corporate providers of health care benefits.     

Monitoring,Appeal, and Investigation: The Enforcement and Legal Process

In this article, I consider a model of law enforcement in which a regulatory agency faces the following problem: To induce firms which are required to adopt a certain level of environmental care, the agency can make spot checks. This monitoring, however, measures a firms degree of protection only with error. On the basis of the observed signal, the agency then has to decide whether or not to fine a firm for taking insufficient protection. If it fines a firm which has actually met the level of environmental protection, the firm has the right to lodge an appeal. To plead the cause, the agency then is required to investigate at high cost the actual degree of the firms protection.In this context we ask how the regulatory agency allocates resources between different enforcement activities. We show how the structure of the optimal enforcement policy depends on the cost of the enforcement activities, on the uncertainty of observation, on its enforcement budget and other factors.     

The development of delinquency during adolescence: a comparison of missing data techniques

Conclusions on the development of delinquent behaviour during the life-course can only be made with longitudinal data, which is regularly gained by repeated interviews of the same respondents. Missing data are a problem for the analysis of delinquent behaviour during the life-course shown with data from an adolescents’ four-wave panel. In this article two alternative techniques to cope with missing data are used: full information maximum likelihood estimation and multiple imputation. Both methods allow one to consider all available data (including adolescents with missing information on some variables) in order to estimate the development of delinquency. We demonstrate that self-reported delinquency is systematically underestimated with listwise deletion (LD) of missing data. Further, LD results in false conclusions on gender and school specific differences of the age–crime relationship. In the final discussion some hints are given for further methods to deal with bias in panel data affected by the missing process.     

The relationship between national culture and the use of professional services: Evidence from two cross-country studies

Each year, clients spend large sums on professional services, such as accounting services, legal services and consulting services. While research has found significant cross-country differences in organizations’ spending on professional services, we do not know why they occur. Inspired by the organizational buying behavior literature, this paper investigates the influence of national culture on the use of professional services, particularly management consulting services. As the use of professional services involves considerable uncertainties—particularly for the buyer—it can be assumed to be influenced by cultural differences regarding the level of Uncertainty Avoidance, Individualism and Masculinity. By drawing on two independent cross-country studies, we show that organizations in high uncertainty avoidance and individualistic cultures use professional services less than organizations in low uncertainty avoidance and collectivist cultures. We found no relationship between Hofstede's dimension of Masculinity and the use of professional services. The findings contribute to the theorizing on how the cultural context influences organizational buying behavior and the purchasing of professional services.     

Tourism in the system of industrial society

Recreation and tourism are integral parts of the whole industrial social system. Viewed thus, tourism, so successful in the past two decades, seems clearly doomed to radical change. Many signs in the universe of work-habitate-leisure-travel indicate that the present system does not satisfy the human needs of traveler, host, and ultimately the social system. One inevitable result of forecast change, is a new, humane understanding of leisure and tourism; one should begin forging it before the opportunity for choice and reason disappears.     

ENERGY EFFICIENCY EVALUATION IN MANUFACTURING THROUGH AN ONTOLOGY‐REPRESENTED KNOWLEDGE BASE

Improving energy efficiency in a manufacturing company through an energy management system requires active participation of different stakeholders and involvement of different organizational entities and technical processes. Interoperability of stakeholders and entities is the key factor to achieve a successful implementation of an energy management system. Researchers have been developing approaches in applying ontologies to address interoperability issues among humans as well as machines. Ontologies have also been used for knowledge representation in different domains, such as energy management and manufacturing. In recent years, researchers have developed knowledge‐based intelligent energy management systems in buildings, especially households, which use ontologies for knowledge representation. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. This paper proposes an approach to apply ontology to allow knowledge‐based energy efficiency evaluation in manufacturing companies. The ontology provides a formal knowledge representation that addresses the interoperability issues due to different human stakeholders as well as machines involved in the energy management system of the company. This paper also describes the methods used to construct and to process the ontology. Copyright © 2013 John Wiley & Sons, Ltd.     

Human capital investments in asymmetric corporate tournaments

We consider a tournament between two workers of different abilities who choose both human capital investment and effort. The employer can influence the workers’ behavior by determining the sequence of human capital investments, i.e. the training design. The workers can either invest simultaneously or sequentially with the favorite being the first mover or sequentially with the underdog as first mover. The results show that the outcome of the tournament crucially depends on the employer’s choice of training design and on the ability difference between the workers. If the two workers clearly differ in their abilities the employer will prefer simultaneous human capital accumulation. However, if the abilities of the two workers are rather similar the employer optimally chooses sequential human capital accumulation with the underdog being the first mover.     

The development of delinquency during adolescence: a comparison of missing data techniques revisited

Quality & Quantity - Conclusions about the individual development of delinquent behaviours during the life-course are often made by repeatedly interviewing the same respondents (i.e. panel...     

Multiple imputation of incomplete zero‐inflated count data

Empirical count data are often zero‐inflated and overdispersed. Currently, there is no software package that allows adequate imputation of these data. We present multiple‐imputation routines for these kinds of count data based on a Bayesian regression approach or alternatively based on a bootstrap approach that work as add‐ons for the popular multiple imputation by chained equations (mice ) software in R (van Buuren and Groothuis‐Oudshoorn , Journal of Statistical Software, vol. 45, 2011, p. 1). We demonstrate in a Monte Carlo simulation that our procedures are superior to currently available count data procedures. It is emphasized that thorough modeling is essential to obtain plausible imputations and that model mis‐specifications can bias parameter estimates and standard errors quite noticeably. Finally, the strengths and limitations of our procedures are discussed, and fruitful avenues for future theory and software development are outlined.     

Organizational design of R&D after mergers and the role of budget responsibility

We consider an innovation contest between n firms in the presence of knowledge leakages from an innovating firm to its rivals. Our analysis focuses on the effects of these knowledge spillovers on merger activities between firms. In particular, we are interested in how different organizational designs of R&D after mergers affect profits of firms taking part in a merger and profits of their non-merging rivals. Three organizational arrangements are analyzed: first, a fusion of R&D departments in which the newly merged firm decides to close down one of the previously two R&D departments. Second, a profit center arrangement in which the newly merged firm keeps the old R&D departments as fully functional entities with a sovereign budget responsibility at each of the two departments. Third, a multisubsidiary organizational form in which the newly merged firm still keeps the old R&D departments but with restricted budget responsibility in the sense that they are forced to determine cooperatively their R&D budgets in order to maximize overall firm’s profits. It turns out that the different organizational designs of R&D after the merger and the budget responsibilities have major impacts on merger outcomes.