L'effet des récompenses sur l'état de santé psychologique des travailleurs: les mécanismes sous‐jacents

The effort‐reward imbalance (ERI) model in the workplace (Siegrist, 1996 ) suggests that inequity of rewards contributes to a degradation of mental health through a process of devaluation. The objective of our study is to test this hypothesis empirically. Data were collected from 659 agents in three call centres located in the province of Quebec. A bootstrap mediation test show that perceived inequity with respect to rewards (recognition, promotion, job security) affects the level of psychological distress through the perception of being valued by the organization. Perceived inequity affects mental health because it signals to workers the extent to which they are valued by their organization. Our correlational study provides evidence of the internal validity of the ERI model. Copyright © 2017 ASAC. Published by John Wiley & Sons, Ltd.     

L'Hypothése de la Distribution Normale dans le cas d‘Événements Simultanes

L'hypothèse de la distribution normale lors de l'analyse des données, permet entre autres, l'utilisation des tests statistiques classiques, ce que n'autorise pas une distribution asymétrique ou aplatie au centre et allongée awe extrémités. Ce travails'adresseprécisé-ment à la forme de la distribution des résidus quotidiens dans le cas d'évènements simultanés, e'est-d̀-dire ceux affectant un certain nombre d'entreprises au mǐme moment, puisque aucune étude ne s'est préoccuppée, à notre connaissance, de ce phénomène. Nos résultats semblent indiquer que les hypothèses de la distribution normale et de non-aplatissement des résidus quotidiens dans le cas d'événements simultanés sont irréalistes, le sort de l'hypothèse d'asymétrie ne semblepas clair surtout à un intervalle de condiance de 99 pourcent. L'utilité des tests statistiques classiques se trouve, par conséquent, très minimisée. Ces tests auront, en effet, tendance à rejeter l'hypothèse de performance normale mǐme en l'absence de toute performance anormale. Abstract The hypothesis of normal distribution in the analysis of data permits, among other things, the use of classical statistical tests. This is not allowed by a distribution which is asymetric or flat at the center and extended at the extremities. This paper deals specifically with the shape of the distribution of daily remainders in the case of simultaneous events which affect a number of businesses at the same time because, to our knowledge, no study has previously dealt with this phenomenon. Our results seem to indicate that the hypothesis of normal distribution and of the non-flattening of daily remainders in the case of simultaneous events are unrealistic and the outcome of hypothesis of asymetry does not seem clear especially at a 99% confidence interval. As a result, the use of classical statistical tests is minimized. In effect, these tests will generally reject the hypothesis of normal performance even in the absence of any abnormal performance.     

UNE MÉTHODE DE L'ANALYSE DES ÉCARTS POUR L'ÉVALUATION DE LA PERFORMANCE

This paper proposes a variance analysis approach that has some advantages with regard to traditional methods. First, the approach links the evaluation and control model with the strategic planning model. It presents, on the one hand, a methodology using linear programming as a model and on the other hand, the post-optimisation analysis as an evaluation tool. Moreover, this approach takes into account the ex-post conditions and identifies the areas departmental and functional responsibility through a model of flexible global budget. So, the resulting evaluation of performance is more detailed, more operational and more complete than that obtained by the traditional methods. Finally, the proposed approach is general enough to be applied to the analysis of performance of both manufacturing and service firms.