Measurement of Organizational AI Exposure

Latifa Borni, Fella Achour () and Liamine Falta
Additional contact information
Latifa Borni: University Mohammed Khider, Department of Management
Fella Achour: University Mohammed Khider, Department of Economics
Liamine Falta: University Mohammed Khider, Department of Management

A chapter in Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026), 2026, pp 299-310 from Springer

Abstract: Abstract This study aims to measure and analyze the organizational AI exposure in two different Algerian insurance companies, SAA and Alliance, using a proposed conceptual framework within an AI-assisted comparative case approach to assess AI Exposure through three core dimensions: process, administrative, and competitive exposure. The results from the strategic matrix show that Alliance is positioned within a controlled exposure configuration due to its high internal capabilities (83.65%) and low external pressure (46.6%), reflecting a voluntary and active adoption. In contrast, SAA is positioned at the boundary between defensive exposure and total exposure, characterized by moderate internal exposure (60.4%), high competitive pressure (73.2%), and limited administrative exposure (53%). This study suggests reinforcing digital sovereignty, prioritizing skills upgrading, and adopting flexible administrative models before making extensive investments in artificial intelligence.

Keywords: Artificial Intelligence Exposure; Insurance; process exposure; administrative exposure; competitive exposure; SAA; Alliance Assurances (search for similar items in EconPapers)
Date: 2026
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:advbcp:978-94-6239-711-8_28

Ordering information: This item can be ordered from
http://www.springer.com/9789462397118

DOI: 10.2991/978-94-6239-711-8_28

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().