Viktor Dörfler
Biographic Data
| ID | 326745 |
|---|---|
| NAME | Viktor Dörfler |
| GIVEN NAMES | Viktor |
| FAMILY NAME | Dörfler |
| SIGNATURE | DÖRFLER V |
| AFFILIATIONS | University of Strathclyde |
| ORCID | 0000-0001-8314-4162 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 41 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Serialising the Research Journey
Case study research rarely unfolds in a neat, linear fashion, yet published accounts often obscure the contingent and iterative nature of inquiry behind polished narratives. We introduce the serialisation sheet as a practical and epistemologically flexible tool for bracketing key episodes as research unfolds. By making interpretive shifts and methodological decisions visible, the tool supports reflexivity, transparency, and rigour without constra…
Uncovering the dynamics of human-AI hybrid performance
The futile debate on whether humans perform better than AI or vice versa is rooted in the automation approach. Instead, an augmentation approach focuses on hybrid performance. • In order to understand why human-AI hybrid performance is sometimes high sometimes not, we gather performance factors from empirical studies. • We identify 24 factors that affect the human-AI hybrid performance and we group these into four clusters. • The identified facto…
What Every CEO Should Know About AI
Dr Viktor Dörfler combines his background in developing and implementing AI with scholarly research on knowledge and cultivating talent to address misconceptions about AI. The Element explains what AI can and cannot do, carefully delineating facts from beliefs or wishful thinking. Filled with examples, this practical Element provokes thinking. The purpose is to help CEOs figure out how to make the best use of AI, suggesting how to extract AI's gr…
Stepping Into the Participants' Shoes
To conduct a phenomenological study, researchers often follow the principles from either the descriptive or interpretive phenomenological schools of thought. This constrains researchers within the domain and limits the potentials of their data set. This paper introduces the Trans-Positional Cognition Approach (TPCA) as a novel synthesised phenomenological research method for conducting qualitative research to address this challenge. The TPCA synt…
Thinking together
In this article, we develop the founding elements of the concept of Communities of Practice by elaborating on the learning processes happening at the heart of such communities. In particular, we provide a consistent perspective on the notions of knowledge, knowing and knowledge sharing that is compatible with the essence of this concept – that learning entails an investment of identity and a social formation of a person. We do so by drawing richl…
Thinking together
In this article, we develop the founding elements of the concept of Communities of Practice by elaborating on the learning processes happening at the heart of such communities. In particular, we provide a consistent perspective on the notions of knowledge, knowing and knowledge sharing that is compatible with the essence of this concept – that learning entails an investment of identity and a social formation of a person. We do so by drawing richl…
Thinking together
In this article, we develop the founding elements of the concept of Communities of Practice by elaborating on the learning processes happening at the heart of such communities. In particular, we provide a consistent perspective on the notions of knowledge, knowing and knowledge sharing that is compatible with the essence of this concept – that learning entails an investment of identity and a social formation of a person. We do so by drawing richl…
What Every CEO Should Know About AI
Dr Viktor Dörfler combines his background in developing and implementing AI with scholarly research on knowledge and cultivating talent to address misconceptions about AI. The Element explains what AI can and cannot do, carefully delineating facts from beliefs or wishful thinking. Filled with examples, this practical Element provokes thinking. The purpose is to help CEOs figure out how to make the best use of AI, suggesting how to extract AI's gr…
Stepping Into the Participants' Shoes
To conduct a phenomenological study, researchers often follow the principles from either the descriptive or interpretive phenomenological schools of thought. This constrains researchers within the domain and limits the potentials of their data set. This paper introduces the Trans-Positional Cognition Approach (TPCA) as a novel synthesised phenomenological research method for conducting qualitative research to address this challenge. The TPCA synt…
Uncovering the dynamics of human-AI hybrid performance
The futile debate on whether humans perform better than AI or vice versa is rooted in the automation approach. Instead, an augmentation approach focuses on hybrid performance. • In order to understand why human-AI hybrid performance is sometimes high sometimes not, we gather performance factors from empirical studies. • We identify 24 factors that affect the human-AI hybrid performance and we group these into four clusters. • The identified facto…
Serialising the Research Journey
Case study research rarely unfolds in a neat, linear fashion, yet published accounts often obscure the contingent and iterative nature of inquiry behind polished narratives. We introduce the serialisation sheet as a practical and epistemologically flexible tool for bracketing key episodes as research unfolds. By making interpretive shifts and methodological decisions visible, the tool supports reflexivity, transparency, and rigour without constra…
Epistemology (3 works) · Psychology (3 works) · Computer Science (2 works) · Ethics and Social Impacts of AI (2 works) · Information Systems Theories and Implementation (2 works) · Qualitative research (2 works) · Sociology (2 works) · Accountability (1 work) · Argument (complex analysis) (1 work) · Artificial Intelligence in Healthcare and Education (1 work)