Artificial Intelligence as a Driver of Business Excellence: A Protocol for Scoping Review

Olaleye Banji Rildwan
Additional contact information
Olaleye Banji Rildwan: North West University

A chapter in Embracing Technological Agility in Accounting and Business – Vol. 2, 2026, pp 105-113 from Springer

Abstract: Abstract Artificial intelligence (AI) has become a vital force driving companies toward excellence and transformation since its emergence as a distant idea. According to the current study, businesses are experiencing a paradigm shift toward sustainability and excellence, emphasizing the merging of AI and its expanding role in the information technology (IT) sector. However, enhancing businesses to automate decision-making and predict market changes in real time offers unprecedented resilience and foresight through emerging technologies like AI. This chapter aims to establish a foundation for a scoping review of the related literature, systematically developing a more comprehensive definition and terminology that captures artificial intelligence for business excellence, while mapping and integrating concepts through their theoretical lens. The methodological approach initially suggested by Arksey and O’Malley and later refined by Levac and colleagues will guide this scoping review. Search strategies will be developed in collaboration with a local librarian and management practitioner. The search will be conducted across electronic databases such as Web of Science and Scopus. By analyzing a challenging sample of 317 academic publications from 2000 to 2025, this chapter systematically examines artificial intelligence and its causal relationship within a business context, providing an overview of this emerging research area and proposing clear, precise, scientific, and operational terminology to improve future research design.

Keywords: Artificial intelligence; Business excellence; Databases; Protocol; Scoping review (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:978-3-032-13384-7_8

Ordering information: This item can be ordered from
http://www.springer.com/9783032133847

DOI: 10.1007/978-3-032-13384-7_8

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 ().