Enterprise risk management

Enterprise risk management (ERM) in business includes the methods and processes used by organizations to manage risks and seize opportunities related to the achievement of their objectives. ERM provides a framework for risk management, which typically involves identifying particular events or circumstances relevant to the organization's objectives (threats and opportunities), assessing them in terms of likelihood and magnitude of impact, determining a response strategy, and monitoring process. By identifying and proactively addressing risks and opportunities, business enterprises protect and create value for their stakeholders, including owners, employees, customers, regulators, and society overall. ERM can also be described as a risk-based approach to managing an enterprise, integrating concepts of internal control, the Sarbanes–Oxley Act, data protection and strategic planning. ERM is evolving to address the needs of various stakeholders, who want to understand the broad spectrum

Mise en oeuvre d’une gestion du risque en entreprise 2.0

Cosette Schuler

The Management is a key element in organizations and is a major component in their success. The aim of this thesis is to study the implementation of an enterprise management by putting forward the human factor. The ISO31000 ”Risk Management” standard and the COSO II ”Enterprise Risk Management Framework” were analyzed and mapped. It was found that their structure is similar and the majority of aspects are included in both frameworks. Ten semi-structured interviews were conducted with people working in the field of risk management. The interviews focused on the human factor in the risk management standards in order to identify potential gaps in the frameworks. The interviews were synthesized, analyzed and three hypotheses were put forward. With the ISO31000 and COSO mappings as well as the analysis of the interviews, it was highlighted that the definition of the human factor was not included and the notions of team management were not developed. These elements are aspects that influence risk management. Based on the hypotheses and findings of the analysis of the ISO31000 and COSO standards, a management recommendation was developed. This management recommendation defines the human factor, gives tools for an e↵ective team management and also puts forward the method of Control Self-Assessment (CSA), a method involving the employees in the evaluation of the process of risk management and control.

2022

Quantum-based approach for laboratory risk assessment and decision-making

Ruoxing Liao

With the rising focus on academic safety, there has been an effort to improve the academic safety climate and develop lab-specific risk assessment tools. Despite the progress made in recent years, there is still a deficit of reliable data statistics on safety events and risk assessment in academia, making it difficult to perform full-scale analysis. Moreover, the rapid turnover of personnel and the highly dynamic research tasks in a laboratory environment impede the implementation of classical and well-established risk management strategies, which are usually time-consuming and resource-intensive. Laboratory safety management is always challenging due to lack of data and effective methods. The end of safety management is usually the selection of risk mitigation measures. In the laboratory risk management process, decisions are often made through discussion and compromise. In this regard, it would be beneficial to provide a tool that can support in resource allocation and prioritization of actions. The goal of this project is to develop a decision support tool to assist in the selection of optimal and appropriate preventive or corrective measures in the lab safety management process. The use of decision tools such as Multi-Criteria Decision Making (MCDM) can effectively abstract complex laboratory management problems into a decision framework. This study focuses on the ranking process of competitive corrective measures. Combining the results of interviews and questionnaires, five evaluation criteria were proposed for the normative process of multi-criteria decision making. They are: Residual Risk, Risk reduction, Personnel reliability, Technical reliability, and Cost. classical methods TOPSIS and WSM have been evaluated during the study, and emerging quantum decision making methods have been explored. All three methods are used to simulate the laboratory safety decision making process, and they all present good consistency. Different weighting methods have also been applied to the model and two case studies have been conducted. The first case study is designed to construct the model and verify its feasibility, and the second model is used to investigate the process of group decision making. By applying different MCDM methods, the obtained results are discussed and compared to verify the stability and accuracy of the model. The approach proposed in this research is a promising tool. It offers the possibility to be compatible with different MCDM methods and risk assessment methods, and the proposed decision model could be used as a decision support system to help lab managers make better decisions, or it can provide a neutral point of view as an aid. Future work may include fine-tuning the model. In the following stage, decision criteria should be precisely defined, and corresponding quantitative formulas should be proposed to serve the flexible and dynamic laboratory environment.

2022

Quantum-based approach for laboratory risk assessment and decision-making

Ruoxing Liao

2022

Mise en oeuvre d’une gestion du risque en entreprise 2.0

Resource allocation for risk management in academia

Quantum-based approach for laboratory risk assessment and decision-making

Quantum-based approach for laboratory risk assessment and decision-making

Resource allocation for risk management in academia

Mise en oeuvre d’une gestion du risque en entreprise 2.0