Diagnostics: AI Culture
Egbert Steyn (),
Merwe Oberholzer (),
Matthew Mullarkey () and
Pieter Buys ()
Additional contact information
Egbert Steyn: Ascendis Health
Merwe Oberholzer: North-West University
Matthew Mullarkey: University of South Florida
Pieter Buys: North-West University
Chapter Chapter 5 in Programmable Decisions for Business Organizations, 2025, pp 89-108 from Springer
Abstract:
Abstract This chapter presents the second of three diagnostic elaborated action design research (eADR) iterations, focusing on developing and validating a _SocialArtifact to support an artificial intelligence (AI) model in support of the envisaged decision-support model. By integrating the technology acceptance model (TAM) and value-based adoption model (VAM) into an enhanced action design research (eADR) process, the book addresses the challenges of AI adoption from a socio-technical theory perspective. Grounded in the design science’s principle of solving practical problems, it examines user attitudes through TAM’s perceived ease of use (PEoU) and usefulness (PU) and VAM’s focus on perceived benefits and sacrifices. Qualitative data gathered from group discussions and interviews with mid- to senior-level management using a structured questionnaire informed the thematic construction of the _SocialArtifact, which is a further building block in the development of the AI decision-support model. Verification ensures the artifact accurately reflects the prevailing AI culture and supports the broader _DecisionArtifact. At the same time, validation confirms alignment with the primary objective of developing an AI framework that balances technical and social considerations. Finally, the chapter illustrates how actor-network theory (ANT)’s interessement stage progresses the evolution of the network, including interactions among actors and the influence of external actors on organizational change.
Keywords: Actor-network theory; Artificial intelligence; Decision-support model; Elaborated action design research; Socio-technical theory; Technology acceptance model; Value-based adoption model (search for similar items in EconPapers)
JEL-codes: M15 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-95-0724-5_5
Ordering information: This item can be ordered from
http://www.springer.com/9789819507245
DOI: 10.1007/978-981-95-0724-5_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().