ing. J.P. (Jop) (Jop) Versteegt CPC MBA

Rotterdam School of Management (RSM)
Erasmus University Rotterdam
ERIM PhD Candidate (parttime programme)
Affiliated since 2021

Jop Versteegt is a part-time PhD student in Management at RSM’s Department of Business-Society Management.

The main research question in his PhD is: Can moral and ethical decision making in organizations be improved by using a normative ethical decision framework? And can AI also contribute to this? 

In more detail; is using a normative ethical decision framework useful to answer moral and ethical questions more in-depth? Or is a answering without a framework even successful? And is the design of the framework depending on availability of time, experience, and purpose? 

The research themes are divided in four parts: 

Part 1: A review of normative ethical decision making frameworks
A literature research study on existing ethical decision making  frameworks or even ones still under development. What is the academic fundament for these models? What differentiates them from each other? The result is an insight into the various publications on normative ethical decision making frameworks and if applicable the empirical research on the models.

Part 2: The effectiveness of normative ethical decision making frameworks
Theory vs practice (application of models vs intuitive decision-making). Empirical research will be done on the use of different decision frameworks in live situations. This is most likely one of the most challenging and interesting parts of the research. What actually happens in practice?

Part 3: Toward a new type of normative ethical decision making framework
Testing the applicability of the updated framework. Based on the first two parts of the research we can continue to test new possibilities. A new developed or updated decision framework or frameworks will be tested. 

Part 4: The added value of AI to a normative ethical decision making framework
The final part is extending to the research in the field of AI. Can AI-Robots add value by their analysing skills in improving our moral and ethical decision making? In case the earlier sub-studies show that there is added value to use a normative ethical decision making framework, we could continue to see where AI can provide support on the framework. Which aspects can AI add on increasing data analysis and thus further improvement / optimization of our the results of our decision framework? Or can AI even take over parts of the decision framework so focus is only necessary on that specific part which cannot be done by AI-Robots.

See for more info: 

PhD Track Research on the Effectiveness of Normative Ethical Decision-Making Models in Ethical Decision Making in Business and AI support

Normative ethical decision-making models (NEDM-models) provide a reasoning process to ensure that an ethical decision enjoys a solid ethical justification, to prevent ethical judgments may be done too quickly and intuitively, under time pressure as in business time counts or are based on improper framing, and therefore rationalized afterward if necessary. NEDM-models help professionals in ethical decision making in a systematic and standardized process when confronted by an ethical dilemma and come to a final decision. This PhD study aims to answer the question whether ethical decision making in business improves by using a normative ethical decision-making model. A limited number of empirical studies in the health sector support a positive impact on the quality of ethical decision making by using the NEDM-model.

This PhD study will be developed in different phases, concluded in publications. Paper 1 answers the question which NEDM-models are available in business research, compares different models, and analyses whether they have been sufficiently empirically tested. Paper 2 constitutes empirical research on the effectiveness of using existing NEDM-models in resolving business ethical dilemmas. If there is a positive impact, the ambition is to increase the quality of ethical decision making in business by testing different NEDM-models in phase three or develop a new NEDM-Model. The last paper is optional and involves literature research with the ambition to increase the quality even further by using Artificial Intelligence (AI) on the tested NEDM-models. AI could answer data-based steps of NEDM-Models through a more in-depth data analysis.

business ethics, decision-making models; normative ethical decision making; NEDM-model; literature review, artificial intelligence; AI ethics
Time frame
2021 -


Visiting address

Burgemeester Oudlaan 50
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Postal address

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