AI advancements - scary or hand holding for employees A systematic literature review

The knowledge gained from a thorough literature analysis that was carried out to identify, categorise, and analyse recent developments in artificial intelligence (AI), its business applications, and its effects on the labour force is presented in this paper. Ninety-four papers are analysed and categorised as AI-related, business-related and domain-specific. AI developments and their applications in different functions of business and sectors of industry, and the possible impact on workforce are discussed. Robotic process automation, machine learning and natural language processing, along with their recent features that find use in business functions are presented. This study contributes to both technical and managerial literature. Future studies irrespective of their discipline can use this study as a roadmap from both technical and business perspectives. The paper also discusses the impact of AI on workforce in a futuristic and optimistic perspective. This study's practical implications include illuminating the path towards individual self-evaluation and skill acquisition, organisational skill development and forecasting, and societal welfare policy framing.

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Publication Details

Journal
International Journal of Business Intelligence and Data Mining
Published
2025-01-01
DOI
https://doi.org/10.1504/ijbidm.2025.147322
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

AI advancements - scary or hand holding for employees A systematic literature review

Kottuvada M.S.V.D. Akshar, Remya Lathabhavan
International Journal of Business Intelligence and Data Mining
AI in Service Interactions
article

AI advancements - scary or hand holding for employees A systematic literature review

Kottuvada M.S.V.D. Akshar, Remya Lathabhavan
article en

Abstract

The knowledge gained from a thorough literature analysis that was carried out to identify, categorise, and analyse recent developments in artificial intelligence (AI), its business applications, and its effects on the labour force is presented in this paper. Ninety-four papers are analysed and categorised as AI-related, business-related and domain-specific. AI developments and their applications in different functions of business and sectors of industry, and the possible impact on workforce are discussed. Robotic process automation, machine learning and natural language processing, along with their recent features that find use in business functions are presented. This study contributes to both technical and managerial literature. Future studies irrespective of their discipline can use this study as a roadmap from both technical and business perspectives. The paper also discusses the impact of AI on workforce in a futuristic and optimistic perspective. This study's practical implications include illuminating the path towards individual self-evaluation and skill acquisition, organisational skill development and forecasting, and societal welfare policy framing.

International Journal of Business Intelligence and Data MiningVol. 27(1)
Red Hat (United States) (US), Indian Institute of Management Ahmedabad (IN), Indian Institute of Management Bodh Gaya
Openalex Percentile: Top 91%
AI in Service Interactions
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AI advancements - scary or hand holding for employees A systematic literature review — Kottuvada M.S.V.D. Akshar, Remya Lathabhavan · International Journal of Business Intelligence and Data Mining (2025) | TGRS Research Map | TGRS