Does job complexity mitigate the negative effect of emotion-rule dissonance on employee burnout?

In interactions with clients or patients, human service workers are at risk of experiencing discrepancies between felt and organizationally mandated emotions (i.e. emotion-rule dissonance). Given the documented detrimental effects of such discrepancies on employee strain, the present study investigated whether job complexity mitigates the relation between emotion-rule dissonance and employee burnout using data from a two-wave panel study of eldercare workers (N?=?583, 16-month time lag). Structural equation modelling revealed that emotion-rule dissonance at Time 1 preceded emotional exhaustion and depersonalization at Time 2. Beyond that, employees whose work offered job complexity were found to suffer less from emotional exhaustion and depersonalization when encountering discrepancies between felt and stipulated emotions compared to employees who conducted noncomplex work. Thus, designing complex tasks appears to be a crucial starting point for alleviating employee burnout in jobs that provoke emotion-rule dissonance.     

Bertrand competition with asymmetric costs: a solution in pure strategies

Theory and Decision - We consider a Bertrand duopoly with homogeneous goods and we allow for asymmetric marginal costs. We derive the Myopic Stable Set in pure strategies as introduced by Demuynck...     

Blinking While Speaking and Talking,Hearing, and Listening: Communication or Individual Underlying Process?

Journal of Nonverbal Behavior - Why do eye-blinks activate during conversation? We manipulated informational content and communicative intent exchanged within dyads. By comparison to a silent...     

Male victims of child sexual abuse

Despite the increased attention the subject of child sexual abuse has received in recent years, rarely has much consideration been given to the boys and adolescent males who are the victims of such abuse. That young girls are consistently the clear majority of sexual abuse victims is not disputed, however the extent to which they are the majority is in question. A review of existing literature has indicated that one of the leading factors for this inadvertent negligence in presenting a truer picture of the magnitude of the problem for male victims concerns the area of under-reporting of the incidence of abuse of young males. Under-reporting has served to give a false sense of the scope of child sexual abuse, particularly for male children. Many societal and methodological factors contribute to under-reporting. Reasons for the discrepancy in reporting abuse will be presented and implications for practice will be discussed.     

Text,competence and logic: An exercise

Professional medical practice, like other organizational conduct, relies upon records which document transactions between members and their clientele. Medical practitioners employ a set of conventions providing for the systematic recording and interpretation of medical record cards that forms a social organization underlying the records cards' ordinary usage. In this paper we examine these conventions and develop a computer program which captures elements of their structure and use. By doing so we illustrate one way in which sociological analysis can contribute to the design of intelligent systems. We also suggest that the emerging discipline of Artificial Intelligence might find recent developments in sociology pertinent to its concerns.     

The “wrong skewness” problem in stochastic frontier models: A new approach

Stochastic frontier models are widely used to measure, e.g., technical efficiencies of firms. The classical stochastic frontier model often suffers from the empirical artefact that the residuals of the production function may have a positive skewness, whereas a negative one is expected under the model, which leads to estimated full efficiencies of all firms. We propose a new approach to the problem by generalizing the distribution used for the inefficiency variable. This generalized stochastic frontier model allows the sample data to have the wrong skewness while estimating well-defined and nondegenerate efficiency measures. We discuss the statistical properties of the model, and we discuss a test for the symmetry of the error term (no inefficiency). We provide a simulation study to show that our model delivers estimators of efficiency with smaller bias than those of the classical model even if the population skewness has the correct sign. Finally, we apply the model to data of the U.S. textile industry for 1958–2005 and show that for a number of years our model suggests technical efficiencies well below the frontier while the classical one estimates no inefficiency in those years.