Episodes of incivility between subordinates and supervisors: examining the role of self‐control and time with an interaction‐record diary study

Scholars have hypothesized that experiencing incivility not only negatively affects well‐being, but may even trigger further antisocial behavior. Previous research, however, has focused mainly on the relation between incivility and well‐being. Thus, little is known about the behavioral consequences of incivility. With this in mind, we conducted an interaction‐record diary study to examine whether supervisor incivility causes retaliatory incivility against the supervisor. Using the self‐control strength model as a framework, we further examined whether the target's trait (trait self‐control) and state (exhaustion) self‐regulatory capacities moderate this effect. In addition, we examined the role of time by testing the duration of the effect. When we analyzed the full data set, we found no support for our hypotheses. However, using a subset of the data in which the subsequent interaction happened on the same day as the prior interaction, our results showed that experiencing incivility predicted incivility in the subsequent interaction, but only when the time lag between the two interactions was short. Furthermore, in line with the assumption that self‐regulatory capacities are required to restrain a target from retaliatory responses, the effect was stronger when individuals were exhausted. In contrast to our assumption, trait self‐control had no effect on instigated incivility. Copyright © 2015 John Wiley & Sons, Ltd.     

A vertical-compressed three-dimensional ecological model in Lake Taihu, China

A three-dimensional ecological model on the basis of the analyses of environmental characteristics is set up for Lake Taihu, one of the largest shallow lakes in China. The hydrodynamic processes, nutrient cycling, chemical processes and biological processes are integrated in the model. Model state variables include: water current, surface displacement, nutrients of nitrogen and phosphorus, as well as their different forms such as ammonia nitrogen, nitrate nitrogen, phosphate phosphorus, etc., biomasses of macroplankton, phytoplankton, zooplankton and fish, and also the nutrient levels of macroplankton and phytoplankton. A nutrient budget and sediment transformation are also coupled in the model. The data from January 17, 1997 to January 18, 1998 are use to calibrate the model. The model results have shown good agreement with the observations. It implies that the model could be used for the lake environmental management and research for examining the processes and determining the water quality. The reasons of deviations between the modelled results and the observed values are also discussed. There are six factors that explain the deviations of the modelled results from the observed values and they can be grouped into two sets. One set of problems is associated with the standard deviation introduced by sampling and analyses. The second set of problems can be solved by introduction of processes lacking in the present model (resuspension, phytoplankton transportation mode under the wind with low speed, shifts in species composition and varied size of phytoplankton and zooplankton). The latter two processes should be included in the model at a later stage by integration of a structurally dynamic approach into the three-dimensional model.