Introduction
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 1 in Programmable Decisions for Business Organizations, 2025, pp 1-17 from Springer
Abstract:
Abstract This chapter introduces the book's core themes, which focus on demonstrating the programmability of decisions and enhancing the understanding of the required artificial intelligence (AI) culture to empower agile organizations in dynamic environments. Consequently, the main concepts and their interactions are explained to design an AI decision-support model. On one side, integrated within the broader context of Industry 4.0, AI-based technologies bring profound societal changes as they become increasingly embedded in everyday life. On the other side is decision-making, which requires distinguishing between programmed and non-programmed decisions within AI-based technologies. The chapter establishes the groundwork for developing an AI decision-support model based on Porter’s value chain concept. AI cannot operate independently of human involvement, necessitating a balance between social and technical objectives within organizations. This leads to the socio-technical theory, which underscores the mutual influence of humans and machines. The integration of these ideas is crucial for applying AI effectively in decision-making. A framework such as actor-network theory (ANT) is needed to understand how networks of human and non-human actors form and function. The chapter thus outlines the book's objectives and describes the research methodology, including the concept of action design research (ADR), employed to achieve these objectives.
Keywords: Action design research; Actor-network theory; Artificial intelligence; Decision-support model; Programmability; Socio-technical theory; Value chain (search for similar items in EconPapers)
JEL-codes: M13 M16 (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_1
Ordering information: This item can be ordered from
http://www.springer.com/9789819507245
DOI: 10.1007/978-981-95-0724-5_1
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 ().