EconPapers    
Economics at your fingertips  
 

Synthetic stakeholders: engaging the environment in organizational decision-making

Jen Rhymer, Alex Murray and David Sirmon

Chapter 13 in Research Handbook on Artificial Intelligence and Decision Making in Organizations, 2024, pp 226-239 from Edward Elgar Publishing

Abstract: Stakeholder theory suggests an array of different human actors-from individuals to collectives with various concerns-need to be considered in organizational decision-making. Yet recent advancements in agentic technologies, including artificial intelligence (AI), machine learning algorithms (ML), and distributed ledger technologies (DLTs), promise to disrupt this human-only affair. Critically, these technologies possess the agency to intentionally constrain, complement, or substitute for human action. As such, we frame these technologies as the basis of a potent new type of stakeholder: synthetic stakeholders. A synthetic stakeholder is a technology-based agent(s) that can learn and act as an independent representative in organizational decision-making processes. In this paper, we theorize the bounds of synthetic shareholders and address how they can engage in organizational decision-making. This research shows how often disregarded stakeholders, such as the natural environment, can gain a powerful and independent “voice” in organizational decision-making (Geisel, 1971).

Keywords: Business and Management; Innovations and Technology (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/doi/10.4337/9781803926216.00022 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

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:elg:eechap:21708_13

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().

 
Page updated 2025-03-31
Handle: RePEc:elg:eechap:21708_13