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Luhmann’s autopoietic epistemology: how qualitative analysis can be rigorously reflexive from a third order of observation – a case study of AI governance research

Simões, Gisele, Radosavljevic, Milan and Johnston, James B (2024) Luhmann’s autopoietic epistemology: how qualitative analysis can be rigorously reflexive from a third order of observation – a case study of AI governance research. In: British Academy of Management Conference 2024: Achieving transformation for greater good: societal, organisational and personal barriers and enablers, 02/09/2024-06/09/2024, Nottingham, UK. (Unpublished)

Item Type: Conference or Workshop Item (UNSPECIFIED)

Abstract

This paper reflects on an advanced qualitative research methodology through the application of Luhmann’s social system theory as a methodological framework of third order of observation around the process of data collection, data familiarisation, data codification and data analysis. The results offer a deeper understanding of researcher’s conditions, the exploration of meanings, the expansion of the understanding of Luhmann’s theory, the development of questioning, and the increasing of the degree of research’s reliability by
anticipating and clarifying issues on how the data could be interpreted. Limitations have been noted in assessing the researcher’s psychological system

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Depositing User: Delphine Doucet

Identifiers

Item ID: 18380
URI: http://sure.sunderland.ac.uk/id/eprint/18380
Official URL: https://www.bam.ac.uk/events-landing/past-conferen...

Users with ORCIDS

ORCID for Milan Radosavljevic: ORCID iD orcid.org/0000-0002-9649-0096

Catalogue record

Date Deposited: 15 Oct 2024 17:28
Last Modified: 15 Oct 2024 17:30

Contributors

Author: Milan Radosavljevic ORCID iD
Author: Gisele Simões
Author: James B Johnston

University Divisions

Services > University Executive

Subjects

Computing > Artificial Intelligence
Computing

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