eXplainable artificial intelligence (XAI) in business management research: a success/failure system perspective
Tsung-Sheng Chang and
Dong-Yih Bau
Journal of Electronic Business & Digital Economics, 2024, vol. 4, issue 1, 36-53
Abstract:
Purpose - eXplainable artificial intelligence (XAI) is an evaluation framework that allows users to understand artificial intelligence (AI) processes and increases the reliability of AI-produced results. XAI assists managers in making better decisions by providing transparency and interpretability in AI systems. This study explores the development of XAI in business management research. Design/methodology/approach - This study collects and analyzes business management research related to XAI using common management keywords as the basis. We used the success/failure system to explore its research guidelines XAI in business management. Findings - The study found significant growth in XAI research within business management. This research will be discussed from various management disciplinary perspectives to help scholars understand the current research directions. Additionally, we utilize a success/failure system to explore how this theory can be applied to artificial intelligence and business management research. Originality/value - The success/failure system offers a comprehensive framework encompassing the evolution of the cosmos, nature, and ecology. This theory can offer valuable insights for business management in XAI and competitive societies, governments, and enterprises, enabling them to formulate effective strategies for the future.
Keywords: eXplainable artificial intelligence (XAI); Success/failure system; Business management research (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
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:eme:jebdep:jebde-07-2024-0019
DOI: 10.1108/JEBDE-07-2024-0019
Access Statistics for this article
Journal of Electronic Business & Digital Economics is currently edited by Dr. Qiongwei Ye
More articles in Journal of Electronic Business & Digital Economics from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().