Search results

The purpose of this paper is to examine the critical success factors (CSFs) required for the successful implementation of 11 workplace bullying interventions listed in a taxonomy of workplace bullying interventions.

A Delphi approach was used to gather commentary from 51 subject matter experts (SMXs) on factors that contribute to successful implementation of workplace bullying interventions.

A deductive approach to thematic analysis revealed that organisational infrastructure, commitment and engagement of management and competent and resourced professionals were the most consistently raised CSFs across interventions. These are broadly consistent with suggested implementation drivers previously recommended by researchers in the workplace bullying and implementation science fields.

Two interventions did not receive adequate commentary meaning that key implementation drivers could not be sufficiently identified for them. While harnessing SMX commentary, the paper also develops a model of levels of evidence to guide future research.

This paper can assist organisations in planning and resourcing the implementation of workplace bullying interventions, to help ensure that interventions are as effective as possible.

This paper has value for researchers, practitioners and organisations as it explores factors critical to successful implementation of interventions and also develops a model for the development of enhanced levels of evidence in workplace bullying intervention research.

The purpose of this paper is to examine aspects of how workplace bullying is identified by the Negative Acts Questionnaire-Revised (NAQ-R), with a focus on the appropriateness of its response scale using item response theory (IRT).

IRT, in which the probability of a particular item response reflects an underlying latent variable, was used to examine NAQ-R responses from a sample of 1,173 Australian public servants (Study 1), and a representative UK data set (n=3,494; Study 2).

Results indicated that problems with the response scale appear to be due to the inclusion of the abstract “now and then” option amongst concrete time options (“never”, “now and then”, “monthly”, “weekly” and “daily”). These results were replicated in Study 2, providing evidence of the robustness of the findings, and suggesting the observations are not sample specific.

This work has implications for methods employed to identify and measure workplace bullying in research and organisational practice. Inconsistent endorsement of response scale options is a concern when total scores are calculated, or when a number of behaviours being experienced with a particular frequency on the response scale are taken as an indication of bullying having occurred.

Examining and refining the manner in which workplace bullying is indexed is important for identifying and managing workplace risks to health, safety and well-being.

The basis of safe flight is the management of risks. This paper aims to present a new process-based risk assessment model, with an approach to calculate the risk score.

Since thousands of minor changes occur within ground operations, it is difficult to calculate how much risk these variations will pose. This paper proposes a risk assessment model fed from analysis of ground operation processes using functional resonance analysis method (FRAM) and fuzzy logic.

FRAM is used to detect variations in ground operation. Using the FRAM analysis, it has been revealed how much risk the process steps described in the procedures involve. The risk score was calculated by combining the probability value obtained from the airline’s database and the severity assessment of the expert group in fuzzy logic. The risk level can be monitored dynamically with the transfer of events in the airline’s database to the process-based risk assessment model.

FRAM analysis, which is used to detect function variations before undesirable risk occurs, has brought a proactive approach to risk assessment. The process-based risk assessment model allows the creation of new safety parameter indicators to be followed to reduce the risk level of the function with a high-risk level. The proposed approach can be used for other operational areas in aviation as well.