The Decision Makers’ Perceptions Toward the Adoption of Artificial Intelligence in the Context of Industry 4.0 and Its Effect on Decision-Making Quality: Case of Agro-Industrial SME in Morocco

Badra Lamssarbi (), Abdoulkarim Mamoudou () and Si Mohamed Bouaziz ()
Additional contact information
Badra Lamssarbi: Ibn Zohr University, Faculty of Legal, Economic and Social Sciences of Agadir
Abdoulkarim Mamoudou: Ibn Zohr University, National School of Commerce and Management of Agadir
Si Mohamed Bouaziz: Ibn Zohr University, Faculty of Legal, Economic and Social Sciences of Agadir

Chapter Chapter 1 in Impact of Artificial Intelligence (AI) and the Global Financial Crisis on Development in Africa, 2026, pp 3-29 from Springer

Abstract: Abstract In the face of Industry 4.0, the Moroccan agro-industrial sector, a major engine of the country's economy, is forced to adopt AI to ensure its continued growth. This presents a challenge to managers, who need to adapt and use AI to make rational decisions. Thus, our study explores the main variables that affect Moroccan agro-industrial companies’ usage or the avoidance of AI technologies and how they could affect decision-making quality. The approach taken is reading through the literature review and developing a model based on the IAAAM model. Subsequently, a quantitative analysis was conducted using 97 questionnaires collected from executives of Moroccan agro-industrial SMEs. Our findings reveal that facilitating conditions do not encourage managers to use AI directly. On the other hand, managers’ attitudes toward AI and their intention to use it are positively impacted by performance expectancy and effort expectancy. Moreover, peer influence may not significantly impact managers’ intention to use AI, and managers’ attitudes regarding AI strongly impact their intention to use it, and managers’ intention to use AI is harmed by their perceived threats. However, these threats do not directly affect their attitude. Also, our findings demonstrate a strong desire to employ AI, which leads to its adoption and improvement of the standard of decision-making in businesses.

Keywords: Artificial Intelligence; Agro-industrial SME; Decision-making quality; Industry 4.0 (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:prbchp:978-3-031-94518-2_1

Ordering information: This item can be ordered from
http://www.springer.com/9783031945182

DOI: 10.1007/978-3-031-94518-2_1

Access Statistics for this chapter

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