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Artificial intelligence in business information systems - main trends, benefits and risks

Antje Lüersmann

International Journal of Services Economics and Management2026https://doi.org/10.1504/ijsem.2026.151935article
AJG 1
Weight
0.50

What the paper says

Business information systems, an integral part of extracting insights from operational processes, are facing challenges that are intensified by the flood of data resulting from increased digitisation. These challenges accentuate the importance of data consolidation, timeliness and accuracy across diverse business enterprises. Emerging development trends, notably the integration of artificial intelligence, have come to the fore, promising significant automation advantages and enhancing the decision-support capacities of these systems. Based on a literature review, this study examines the role of artificial intelligence in business information systems. The main findings underline that while artificial intelligence offers remarkable automation and digitisation potential, especially in aspects like computational intelligence and human-computer interaction, its application remains largely theoretical. Furthermore, the fusion of artificial intelligence with technologies such as blockchain is in nascent stages, suggesting ample areas for future research and practical implementation. This paper outlines both the benefits and the attendant risks.

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https://doi.org/https://doi.org/10.1504/ijsem.2026.151935

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@article{antje2026,
  title        = {{Artificial intelligence in business information systems - main trends, benefits and risks}},
  author       = {Antje Lüersmann},
  journal      = {International Journal of Services Economics and Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijsem.2026.151935},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.