Å·ÃÀ¸ßÇå

Publications

Cambridge Elements in Business strategy Cambridge Elements in Business strategy (2022)

, Stierand Marc

Journal of Organizational Change Management Vol 34, pp. 778-793 (2021)

Pyrko Igor, ,

Human Relations Vol 70, pp. 389-409 (2017)

, Ackermann Fran

Management Learning Vol 43, pp. 545–564 (2012)

Bas Alina, Sinclair Marta,

Management Learning Vol 54, pp. 489–510 (2023)

Göndöcs Dóra,

Artificial Intelligence in Medicine Vol 149 (2024)

Teaching

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.Ìý This topic also served as the starting point for developing my first MOOC ‘’.

Artificial Intelligence (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.Ìý The covered technologies range from databases through expert systems, corporate portals and social media and collaboration tools to smart technologies and artificial intelligence.Ìý The most recent development of this topic is embodied in my second MOOC ‘’.

Making Strategy (MBA)

This class originally developed by at Å·ÃÀ¸ßÇå, focuses on the process of strategy making using causal maps as transitional objects.Ìý The process is formalised, governed by procedural justice and procedural rationality.Ìý In this class ‘strategy’ is about agreeing where to focus energy, cash, effort, and emotion.Ìý 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 Å·ÃÀ¸ßÇå 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.

Research Interests

My ambitious aim is to develop a dynamic model and possibly theory of cognition. ÌýI 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.Ìý 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 AI software, a knowledge-based expert system (KBS); resulting in new algorithms, software design, etc. ÌýConversely, I use AI as a modelling tool in various other research topics. ÌýThe process of knowledge engineering is also a research topic on its own right.

Towards a Dynamic Theory of Knowledge

Models of Personal Knowledge

• Intuition
• Levels of mastery
• Threshold concepts

Models of Personal Knowing Processes

• Intuitive and integrated rationality
• Personal learning
• Personal creativity

Models of Trans-Personal Knowing Processes

• Knowledge sharing
• Executive coaching
• Organizational learning

Artificial Intelligence (AI)

Philosophy of AI

• AI and the human mind
• AI ethics
• From data to knowledge

Developing AI

• Expert systems
• Responsible AI, Explainable AI
• Intelligent applications

Using AI

• Ways of using AI
• Knowledge engineering and facilitating
• Human+AI augmented work

Knowledge-based Strategizing

Managing innovation and knowledge

• Uncertainty and extreme context
• 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

Teaching-Learning-Education

Philosophy and Methods of Teaching and Learning

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

Ìý

Professional Activities

Keynote/plenary speaker

13/6/2023

Keynote/plenary speaker

23/9/2023

Keynote/plenary speaker

15/11/2023

Keynote/plenary speaker

24/5/2023

Keynote/plenary speaker

31/3/2023

Interviewee

25/3/2022

Projects

Dorfler, Viktor (Principal Investigator)

The purpose of this project is to develop an AI-enabled platform for SMEs to help conduct evaluation of their intangible assets.

01-Jan-2023 - 30-Jan-2024

Dorfler, Viktor (Principal Investigator)

This project is part of a sabbatical work undertaken in Hungary with the support of the Senior Fellowship Grant awarded by the Corvinus University of Budapest, Corvinus Institute for Advanced Studies, Hungary, The amount of the funding is €35,420 .

Project 1: AI Strategy and Strategic AI. Conceptual work about bringing AI into the mainstream strategy, adopting a process view.

Project 2: Exploring experiences of AI implementation.

Project 3: The Michelin-drive – participant ethnography. An exploratory study of restaurants that have been recently awarded a new Michelin star; trying to understand the strategizing of creativity in these haute cuisine restaurants.

01-Jan-2023 - 30-Jan-2024

Dorfler, Viktor (Principal Investigator)

01-Jan-2023 - 28-Jan-2024

Coffele, Federico (Principal Investigator) Burt, Graeme (Co-investigator) Dorfler, Viktor (Co-investigator) Harrington, Susan (Co-investigator)

SE Grant Administered by St Andrews University - Match funding provided through RKES 211195

04-Jan-2021 - 30-Jan-2023

Dorfler, Viktor (Principal Investigator)

07-Jan-2020 - 09-Jan-2020

Dorfler, Viktor (Principal Investigator) Eden, Colin (Co-investigator)

This project explores the cognitive complexity of people at the highest level of knowledge. The background to the project is a conceptual model of knowledge levels which identifies the highest level of knowledge as 'Grandmaster' level. The underlying assumption of the project is that people who got awarded the highest prize in their respective fields, such as the Nobel Prize, achieved the highest level of knowledge in their discipline - they are grandmasters.

01-Jan-2009 - 30-Jan-2015