Transformational leadership and optimal functioning at work: On the mediating role of employees' perceived job characteristics and motivation

This study aimed to deepen our understanding of the motivational mechanisms involved in the relationship between transformational leadership (TFL) and employee functioning. Drawing on the TFL literature, the job demands–resources model and self-determination theory, we propose an integrative model that relates TFL to employee psychological health (burnout and psychological distress), attitudes (occupational commitment and turnover intention) and performance (professional efficacy, self-reported individual and objective organizational performance) through two explanatory mechanisms: perceived job characteristics (job demands and resources) and employee motivation (autonomous and controlled). This research was conducted in two occupational settings (nurses and school principals), using a distinct variable operationalization for each. Results of both studies provide support for the hypothesized model, suggesting that TFL relates to optimal job functioning (psychological health, job attitudes and performance) by contributing to favourable perceptions of job characteristics (more resources and less demands) and high-quality work motivation (more autonomous motivation and less controlled motivation) in employees. Theoretical contributions and managerial implications as well as directions for future research are presented.     

On the psychological and motivational processes linking job characteristics to employee functioning: Insights from self-determination theory

The aim of this study was to provide insight into the differential relationships between job characteristics (job demands and resources) and employee functioning by examining the psychological and motivational processes involved. Drawing on self-determination theory, we tested a model in which job demands are positively related to negative manifestations of employee functioning (psychological distress and psychosomatic complaints) through psychological need frustration and low-quality work motivation (controlled motivation), whereas job resources are positively related to positive manifestations of employee functioning (work engagement and job performance) through need satisfaction and high-quality work motivation (autonomous motivation). Data were collected from 699 Canadian nurses. Structural equation modelling (SEM) results support the proposed model: psychological needs and work motivation partially mediated the relationship between job characteristics and employee functioning. Specifically, job demands negatively predicted employee functioning (high distress and psychosomatic complaints, low engagement and performance) through need frustration and controlled motivation. In contrast, while positively predicting need satisfaction and negatively predicting need frustration, job resources fostered optimal work motivation (more autonomous and less controlled motivation) and employee functioning. The implications for self-determination theory (SDT) and research on occupational health and stress are discussed.     

A Simple Formula for Calculating the "Mass Density" of a Lognormally Distributed Characteristic: Applications to Risk Analysis

Statements such as "80% of the employees do 20% of the work" or "the richest 1% of society controls 10% of its assets" are commonly used to describe the distribution or concentration of a variable characteristic within a population. Analogous statements can be constructed to reflect the relationship between probability and concentration for unvarying quantities surrounded by uncertainty. Both kinds of statements represent specific usages of a general relationship, the "mass density function," that is not widely exploited in risk analysis and management. This paper derives a simple formula for the mass density function when the uncertainty and/or the variability in a quantity is lognormally distributed; the formula gives the risk analyst an exact, "back-of-the-envelope" method for determining the fraction of the total amount of a quantity contained within any portion of its distribution. For example, if exposures to a toxicant are lognormally distributed with σ_{in x}= 2, 50% of all the exposure is borne by the 2.3% of persons most heavily exposed. Implications of this formula for various issues in risk assessment are explored, including: (1) the marginal benefits of risk reduction; (2) distributional equity and risk perception; (3) accurate confidence intervals for the population mean when a limited set of data is available; (4) the possible biases introduced by the uncritical assumption that extreme "outliers" exist; and (5) the calculation of the value of new information.     

The geographic distribution of gaming machine proceeds in New Zealand

ABSTRACT

Within NZ gambling and its associated harms are well-researched topics. However, most studies to date have relied upon the use of survey methodology or have focused on individual regions. In this paper we distribute gaming machine proceeds (GMP) from gaming venues to the surrounding localities in order to derive estimates of GMP per capita. It is hoped these estimates will enable the trusts who operate the electronic gaming machines (EGMs), and who are responsible for reinvesting a proportion of proceeds back into the community, to more accurately target funding towards the areas most affected by the harms of EGM gambling. Our estimates of GMP per capita also provide a means of assessing the criterion validity of the recently developed Dynamic Deprivation Index. Furthermore, although it is well known that Māori and Pacific Island populations have a higher incidence of problem gambling, our results imply that when controlling for socio-economic deprivation and the geographic location of EGMs the associations between ethnicity and GMP per capita are weak. From a policy perspective, this suggests the most effective way of limiting the harms of EGM gambling on these populations is to place tighter controls on the number of venues within their communities.     

Business Mobilization and Public Policy in the U.S. States*

Objective. The goal of this study is to examine how the political mobilization of business interests influences aggregate public policy outputs in the states. We examine the relationship between business mobilization and general state policy liberalism, as well as policy that we term state “business policy climate.” Methods. We construct a measure of the “business policy climate” from a number of tax and regulatory indicators in the states and examine whether business influences it and policy liberalism using ordinary least squares regression. Results. The analysis shows that business mobilization does not influence general policy liberalism but is a significant influence on a state's business policy climate. Specifically, the dominance of a state's campaign finance system by business interests makes policy more favorable toward business. Conclusions. The extent of business mobilization in a state is an important influence on public policy outputs but is constrained by the activities of other political actors such as unions.     

An analysis of current Australian program initiatives for children exposed to domestic violence

While services have been assisting women who have been victims of domestic violence for many years, it has only been in recent times, that children exposed to domestic violence have begun to receive attention by service providers as clients in their own right. A number of specialised programs have now been designed to meet the needs of these children by domestic violence services and agencies that have a child protection or child welfare/family support focus. This paper aims to describe the types of programs currently in operation across Australia which cater specifically for the needs of children who have been exposed to domestic violence by analysing programs listed on the Child Abuse Prevention Programs Database developed by the National Child Protection Clearinghouse. A number of suggestions are made with regard to the means by which therapeutic responses and research in this area could be enhanced.