Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
Despite the large number of systematic literature reviews (SLRs) on the use of artificial intelligence (AI) for service delivery, scholars suggest more scientific evidence. However, the direction that these reviews will take depends on the knowledge accumulated in the existing literature. Therefore, the objective of this research is to explore SLRs that have synthesized the use of AI for service delivery. We conducted a tertiary study, which consists of a bibliometric analysis of SLRs. We searched SLRs published over the last ten years in six bibliographic databases. Sixty-six studies meeting the inclusion criteria were processed through a bibliometric analysis in which we combined article metadata with data extracted from the full-text review. The results describe the publication trends of SLRs, their application domains, and the particularities of the private and public sectors. Recommendations for future SLRs on the use of AI for service delivery are proposed.
Recommended Citation
Chouikh, Arbi; Khechine, Hager; and Gagnon, Marie-Pierre, "Tertiary Study on the Use of Artificial Intelligence for Service Delivery: A Bibliometric Analysis of Systematic Literature Reviews" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 5.
https://aisel.aisnet.org/hicss-56/dg/ai/5
Tertiary Study on the Use of Artificial Intelligence for Service Delivery: A Bibliometric Analysis of Systematic Literature Reviews
Online
Despite the large number of systematic literature reviews (SLRs) on the use of artificial intelligence (AI) for service delivery, scholars suggest more scientific evidence. However, the direction that these reviews will take depends on the knowledge accumulated in the existing literature. Therefore, the objective of this research is to explore SLRs that have synthesized the use of AI for service delivery. We conducted a tertiary study, which consists of a bibliometric analysis of SLRs. We searched SLRs published over the last ten years in six bibliographic databases. Sixty-six studies meeting the inclusion criteria were processed through a bibliometric analysis in which we combined article metadata with data extracted from the full-text review. The results describe the publication trends of SLRs, their application domains, and the particularities of the private and public sectors. Recommendations for future SLRs on the use of AI for service delivery are proposed.
https://aisel.aisnet.org/hicss-56/dg/ai/5