Autori
Servalli, StefaniaBassani, GaiaGitto, AntonioTitolo
Blending results from existing literature reviewsPeriodico
MCAnno:
2025 - Fascicolo:
1 - Pagina iniziale:
65 - Pagina finale:
91Artificial Intelligence (AI) and digital transformation are currently the most influential forces in business and society. Although numerous studies have examined the impacts of various digital technologies in the field of Economia Aziendale, there is a need to consolidate and integrate these findings from different communities of practice. This paper aims to provide a comprehensive overview by conducting an integrative review of existing literature on digital technologies in Economia Aziendale, using Scopus and Web of Science databases to identify relevant studies. After careful selection, 25 literature reviews were analyzed. The analysis revealed limited connections among existing reviews, typically across different research communities, except within the AIS community. Some reviews cover multiple technologies using broad terminology, while others delve into specific technologies. Findings are organized within a comprehensive framework that delineates the antecedents and effects of digital technologies. Furthermore, the analysis identifies seven promising areas for future research exploration. This review aims to bridge gaps in the field by synthesizing knowledge across different communities, aiding scholars in contributing to broader discussions on digital technologies? impact. For practitioners, the findings provide valuable insights for navigating the complexities of digital transformation, while policy-makers can use this review to prioritize interventions and allocate resources effectively.
SICI: 2239-0391(2025)1<65:BRFELR>2.0.ZU;2-S
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