Happily ever after? Intrahousehold bargaining and the distribution of utility within marriage

Using a rich longitudinal data set of married couples from the Korean Labor and Income Panel Study, this article seeks to uncover the intramarital allocation of experienced utility and its drivers. We find both substantial gains from marriage and effects of relative predicted earnings outside of marriage on relative gains from marriage. These findings are consistent with cooperative bargaining models and with models viewing individuals as having a demand for household production services by a spouse, with market forces influencing the price of such services. In addition, we find that men benefit more from marriage than women and that this gender gap is more pronounced for older couples. This is likely to be due to social norms and prescribed gender roles which are more prevalent within the older generation.     

Phenomenology‐Based Ethnography for Management Studies and Organizational Analysis

This paper introduces phenomenology‐based ethnography as a novel ethnographic approach for research in management studies and organizational analysis and describes three methods that have been developed from this approach: life‐world analytical ethnography, focused ethnography and go‐along ethnography. Phenomenology‐based ethnography has emerged from developments in sociology that draw on ‘social phenomenology’ developed by Alfred Schütz. These developments involve the use of phenomenology‐based ethnographic methods that shift the focus of research onto participants’ subjective experiences of the field further than has been required by other ethnographic approaches. This paper uses a set of dimensions that allow a comparison of these phenomenology‐based methods’ aims, techniques of data collection and analysis, and required effort. These three methods are then compared with current ethnographic methods used in organizational research and management studies. The paper concludes with a discussion that explores and addresses the critique of how phenomenology‐based ethnography conceives the relationship between the researcher and the research subject.     

Efficient Monte Carlo simulation via the generalized splitting method

We describe a new Monte Carlo algorithm for the consistent and unbiased estimation of multidimensional integrals and the efficient sampling from multidimensional densities. The algorithm is inspired by the classical splitting method and can be applied to general static simulation models. We provide examples from rare-event probability estimation, counting, and sampling, demonstrating that the proposed method can outperform existing Markov chain sampling methods in terms of convergence speed and accuracy.     

Improved cross-entropy method for estimation

The cross-entropy (CE) method is an adaptive importance sampling procedure that has been successfully applied to a diverse range of complicated simulation problems. However, recent research has shown that in some high-dimensional settings, the likelihood ratio degeneracy problem becomes severe and the importance sampling estimator obtained from the CE algorithm becomes unreliable. We consider a variation of the CE method whose performance does not deteriorate as the dimension of the problem increases. We then illustrate the algorithm via a high-dimensional estimation problem in risk management.     

Volunteer Reliability in Nonprofit Organizations: A Theoretical Model

The reliability of volunteers is a major concern for many nonprofit organizations. To address this problem in more detail, we develop a theoretical model of volunteer reliability based on psychological contract theory. By taking this perspective as a starting point, we explore how individual volunteer characteristics, organizational factors, and sociological developments shape the exchange of inducements and contributions between volunteers and nonprofit organizations. We discuss how these factors can create tensions in the psychological contract and determine the extent to which volunteers behave reliably. As such, we develop a theoretical framework for addressing the reliability problem in volunteer management.     

Percentile Related Bounds and Estimator for the Mean of the Negative Binomial Distribution

Upper and lower bounds are obtained for the mean of the negative binomial distribution. These bounds are simple functions of a percentile determined by the shape parameter. The result is then used to obtain a robust estimate of the mean when the shape parameter is known.     

The application of a performance management system in hospitals: A hypothetical example

Abstract

The central theme of this article is performance management, defined as activities of organizations aimed at an effective and efficient use of their human resources. The organization focused on in particular is the hospital. Three principles taken from motivation theory are dealt with which are basic to performance management: goal setting, feedback and reinforcement. Next, a recently developed procedure (Pritchard 1990, Pritchard et al. 1988, 1989) for the design of performance management systems is described. This procedure, ProMES: Productivity Measurement and Enhancement Systems, is explained using a team of ward nurses as a hypothetical example. In addition to the nursing wards example, other potential applications of the ProMES technique to several hospitals areas are mentioned. Finally, some conditions that should be fulfilled in order to successfully start a ProMES project are discussed.     

The recruitment and selection of hospital medical consultants

Abstract

The literature on selection has been dominated in recent decades by the ‘prediction’ paradigm. Such an approach requires a substantial number of positions to be filled in order to compute validity coefficients. There are other approaches, using a different paradigm, when concentrated on adjusting the organization and the employee. Here careful analysis of job demands is essential. This article describes such an analysis, taking the medical consultant as an example. The method can be used in an iterative way. It is useful when one has to work with small numbers of positions.