Optimizing employee roles in the era of generative AI

A multi-criteria decision-making analysis of co-creation dynamics

Datos Bibliográficos

ID22110554
AutoresAlpana Agarwal (0000-0002-7566-2565, Symbiosis International University, autor de correspondencia)
Año2025
Volumen11
Número1
Fecha de publicación2025-12-31
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCogent Social Sciences (JOURNAL)
Identificadores de la revistaISSN: 2331-1886 • E-ISSN: 2331-1886
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/23311886.2025.2476737
OpenAlexW4408497810
IdiomaEN
Citas recibidas1
Referencias citadas74

Artificial Intelligence (AI) has the ability to transform the way organizations operate, but imposes a unique challenge for them. Adoption of AI might reshape the human resource management patterns which calls for optimization of roles in workplaces for dealing with technology. Critical decision points and alternatives are identified through a systematic review of literature and Analytical Hierarchy Approach (AHP) is applied to analyze their priority weights. The results of AHP model indicate adaptive organization structure, specialized AI teams, ethics oversight and governance and innovation infrastructure to be significant in AI integration. Furthermore, sensitivity analysis technique is employed to examine the robustness of the decision outcomes at varying criteria weights and the results shows no significant impact on the ranks indicating robustness of the decision achieved if the criteria weight changes on the overall optimization process. This study contributes to expanding discussion on workforce transformation in AI era

Business · Economics · Generative grammar · Generative model · Knowledge management · Management science · Process management · Sociology · Big Data and Business Intelligence · Collaboration in agile enterprises · Computer Science · Digital Transformation in Industry · Psychology · Artificial Intelligence