Viktor Dorfler


  • United Kingdom

1995 …2021

Research activity per year

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Personal profile

Personal Statement

I am a Senior Lecturer in Information & Knowledge Management at the Department of Management Science, University of Strathclyde Business School, UK. My research is focused on personal and transpersonal knowledge, learning, and artificial intelligence (AI), with an emphasis on knowledge-based expert systems, intuition and creativity. In research and teaching, I synthesize my backgrounds in philosophy and engineering to make sense of human expertise and the use of AI in organisational contexts. I have been appointed member of the British Standard Institutions Artificial Intelligence Committee (BSI ART/001).

In a recent project, I conducted in-depth open-ended interviews with 20 expert scientists, including 17 Nobel Laureates and 2 Eckert-Mauchly Award winners, in order to understand the thinking and learning of those at the highest level of expertise.

1999-2004 I was spearheading the development of an AI software called Doctus, one of the best knowledge-based expert system shells in the world. In my research on knowledge modelling, I create new algorithms, compare various AI solutions, and explore the validity of AI. This research serves as a foundation for the development of the Doctus software. In my consultancy work as a knowledge engineer for the banking, healthcare, telecommunications industries and the government sector, I use Doctus to support complex decisions through modelling expert knowledge.

My paper ‘Thinking together: What makes Communities of Practice work?’ became an instant classic, and is continuously one of the most read papers in Human Relations. Another paper ‘Understanding intuition: The case for two forms of intuition’ is one of the most read articles in Management Learning. To date, I have written 28 journal papers, two books, 12 book chapters, and about 100 conference papers and recently co-edited the Handbook of Research Methods on Creativity. I serve on the editorial board of Management Learning and starting on the editorial board of Academy of Management Learning & Education next year.

Over the two and half years before the pandemic, I delivered 20 keynote and public talks on Human Mind and AI in New York, London, Dubai, Abu Dhabi, Muscat, Lausanne, Birmingham, and Budapest, as well as a TEDx talk. My most recent talk in London is available from my YouTube channel. Based on my 20+ years of research, consultancy and teaching, I argue that in the areas requiring original thinking, extraordinary achievements will come from smart people being supported by smart technology.


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Research Interests

My ambitious aim is to develop a dynamic model and possibly theory of cognition.  I have developed, with my collaborators, a model of knowledge levels which serves as a conceptual framework for the empirical investigation into the highest ‘grandmaster’ level of knowledge.  To this end I conducted 20 in-depth unstructured interviews with grandmasters (17 with Nobel Laureates).

My research in knowledge modelling underlies the development of the Doctus knowledge-based expert system (KBS); resulting in new algorithms, software design, etc.  Conversely, I use Doctus as a modelling tool in various other research topics.  The process of knowledge engineering is also a research topic on its own right.

Towards a Dynamic Theory of Knowledge

Models of Personal Knowledge

  • Types of personal knowledge
  • Levels of personal knowledge
  • Personal intuition

Models of Personal Knowing Processes

  • Intuitive and integrated rationality
  • Personal learning
  • Personal creativity

Models of Trans-Personal Knowing Processes

  • Knowledge sharing
  • Master-apprentice relationship
  • Executive coaching

Artificial Intelligence (AI)

Philosophy of AI

  • The future of AI
  • Validation in expert systems
  • Reductive reasoning in expert systems

Developing AI

  • Hybrid intelligent systems
  • Intelligent Portal and Knowledge Factory
  • 3D concept mapping: Doctus Knowledge Galaxy

Using AI

  • Coaching and kb-DSS
  • Knowledge engineering and facilitating
  • Modelling with Doctus KBS

Knowledge-based Strategizing

Managing innovation and knowledge

  • Knowledge management
  • Innovation management
  • Gamification

Knowledge-based decision making

  • Personal decisions
  • Communities and practice
  • Performance and quality

Research Philosophy and Methods

Philosophical approaches and frameworks

  • Process philosophy
  • Transdisciplinarity
  • Investigating the extraordinary

Methodological approaches and frameworks

  • Reflection and reflexivity
  • Against methods
  • Generalizability through iterative learning

Applied Research Methods

  • Insider Explanatory Phenomenology
  • Intuitive Cyclic Phenomenology
  • Cognitive and causal mapping


Philosophy and Methods of Teaching and Learning

  • Online teaching and learning
  • Master-apprentice relationship
  • Post-experiential education


Expertise & Capabilities

My research, teaching and knowledge exchange activities are intertwined.  In my teaching I use my research results as well as illustrative examples from my consultancy, my consultancy is informed by my research and also provides data as well as new ideas for further research and also on how to teach particular topics, and so forth in cycles.  In this sense my expertise can be divided into two main areas:

Knowledge and Knowing

I have done a great deal of research into the personal as well as transpersonal aspects of knowledge and knowing and also worked with various organisations on making better use of what they know.  I can primarily help organisations in fostering their talents, including master-apprentice relationships.  Related further topics include creativity and intuition at a personal level and Communities of Practice (CoPs) at the transpersonal level.  These topics have strong links to the following topics on supporting these knowing processes with AI.

Artificial Intelligence

My research has served as a basis for developing the Doctus KBS; in harmony with the above, the focus is on creating qualitative models of expert-level knowledge.  I was leading the development of the software 1999-2004, and as knowledge engineer I used it for supporting knowledge workers in general and C-level decision makers in particular in a wide range of decision situations, including outsourcing, product launch, tendering (both applying for tenders as well as evaluating applications), performance evaluation for knowledge workers, medical diagnosis, R&D decisions, and credit risk evaluation.

Teaching Interests

Knowledge & Innovation Management (UG, MOOC)

I have recently developed a new knowledge and innovation management course organised around four themes: the structure of personal knowledge, the processes of personal knowing, the organisational aspects of knowledge management, and innovation in organisations.  This topic also served as the starting point for developing my first MOOC ‘Understanding Modern Business & Organisations’.

Information & Technology Management (UG, MSc, MBA, MOOC)

Teaching information systems from a managerial perspective in organisational context, my focus in Information Management is on the human-computer connection; i.e. what should be computerised and what left to humans.  The covered technologies range from databases through expert systems, corporate portals and social media and collaboration tools to smart technologies and artificial intelligence.  The most recent development of this topic is embodied in my second MOOC ‘Understanding Information & Technology Today’.

Making Strategy (MBA)

This class originally developed by Prof Colin Eden at Strathclyde, focuses on the process of strategy making using causal maps as transitional objects.  The process is formalised, governed by procedural justice and procedural rationality.  In this class ‘strategy’ is about agreeing where to focus energy, cash, effort, and emotion.  Making Strategy is rooted in the personal construct theory, the resource-based view, competence-based management, emergent strategising, and solving messy problems.

Research Philosophy (doctoral level)

This is a compulsory module for all the research students at the University of Strathclyde Business School. A 5-day intensive classroom-based course is followed by a prolonged online collaborative learning in a virtual learning environment. I encourage students to develop their philosophical stance through independent thinking rather than finding their boxes.

Education/Academic qualification

Doctor of Philosophy, University of Strathclyde

Award Date: 1 Jan 2005

Master of Business Administration, Technical University of Budapest

Award Date: 1 Jan 1999

Master of Education, Technical University of Budapest

Award Date: 1 Jan 1998

Master of Economics, Budapest University of Economic Sciences

Award Date: 1 Jan 1997

Master of Engineering, Technical University of Budapest

Award Date: 1 Jan 1995

External positions

Visiting Professor, University of Zagreb

2009 → …


  • personal knowledge
  • organisational learning
  • expert systems
  • knowledge sharing
  • creativity
  • communities of practice


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