C13 | Predicting employee whistle-blowing behaviours using machine learning classification | Rapid research 20 mins
Tracks
Track C | Lagoon Room 2 l Filmed
| Thursday, July 7, 2022 |
| 4:05 PM - 4:25 PM |
| Lagoon Room 2 |
Overview
In-person live +
Presenter
Mr Jason Spedding
Analytics Consultant
WorkSafe Victoria
Predicting employee whistle-blowing behaviours using machine learning classification
4:05 PM - 4:25 PMPromotional description
Recent accounts of dishonest, unethical, and corrupt behaviour have permeated the media landscape, more than ever there is growing need for moral edification within modern organisations. Supporting employee reporting of wrong-doing or “whistleblowing”, has been identified as a mechanism through which organisations can avert the negative consequences associated with engaging in unethical business practices (OECD 2012). Despite contemporary efforts, much remains unknown regarding who, when, and why employees report organisational wrongdoing. This presentation will test if purely inductive machine learning techniques can outperform traditional theory driven methods in predicting employees intentions to report organisational wrongdoing.
Learning outcomes
Learning outcomes will include:
A brief overview of employee whistleblowing behaviours, including the value such actions can generate for organisations.
An identification and discussion of the antecedents of employee whistleblowing behaviours.
A surface level understanding of inductive machine learning applications, including the types of problems/questions such analysis can answer.
A brief overview of employee whistleblowing behaviours, including the value such actions can generate for organisations.
An identification and discussion of the antecedents of employee whistleblowing behaviours.
A surface level understanding of inductive machine learning applications, including the types of problems/questions such analysis can answer.
Author(s)
Spedding, Jason
Brough, Paula
Brough, Paula
.....
Jason is a Senior Research Assistant and Analytics Consultant currently completing his PhD in Organisational Psychology. With a passion for statistics and using quantitative analysis to inform organisational strategy and data-driven decision making. Jason is a registered Psychologist and early career academic, with his research on leadership, stress, and organisational culture published in multiple peer-reviewed journals, conference presentations, and academic book chapter.
