Project at a glance
Risks jeopardising the integrity of an organisation are widespread. This is also true in Switzerland. Such risks comprise illegal and unethical behaviour such as cybercrime, corruption, fraud and money laundering, and cause great financial damage to Swiss companies.
In order to act with integrity, companies must monitor the state of and changes to the legal and ethical framework conditions applicable to their business activities. Although many companies take on a reactive approach by focusing on combating integrity risks once they have materialised, the literature considers a proactive approach – i.e. to minimise the prospect and damages of an incident before it occurs – as superior and cheaper.
Therefore, the planned Integrity Risk Monitor (IRM) will address these issues by adapting methods and techniques from the field of automated natural language processing to the domain of integrity research.
The purpose of the Integrity Risk Monitor (IRM) is
- to provide a real-time monitoring tool to researchers that supports them in identifying and tracking integrity events and debates
- to provide researchers with means to use these data on past events, to develop models that are suited to explain these events and to predict future gaps in integrity risk monitoring
- to raise awareness of companies by publishing the first IRM report that summarizes the results of these studies.
Project
Development and publication of the Integrity Risk Monitor (IRM)Lead
Swiss Institut for Entrepreneurship More about Swiss Institut for EntrepreneurshipProject Leader
Hauser Christian More about Hauser ChristianInvolved parties
Swiss Institut for Information Science (SII)
PRME Business Integrity Action Center (BIAC) More about the involvedTeam
Weichselbraun Albert More about Weichselbraun AlbertResearch fields
Corporate Responsibility More about Corporate Responsibility Data Analytics More about Data Analytics Process Data, Visualization, and Machine Learning, AI More about Process Data, Visualization, and Machine Learning, AIFunding
KBA-NotaSys Integrity FundDuration
January 2019 - December 2020