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<p>The market for enterprise software evolved significantly faster between 2020 and 2026 than the academic literature was able to track. Generative AI had already been introduced into production releases by vendors before some journal reviewers had even reached consensus on whether it should be considered for ERP at all. Zero-trust security followed a similar lifecycle: it moved from a theoretical recommendation to an operational baseline during this period, yet a substantial proportion of the peer-reviewed literature remained focused on detection thresholds rather than on architecture. Questions of autonomous agent behaviour, federated analytics across organisational boundaries, and fairness in AI-based procurement decision-making emerged from approximately 2023 onwards and have been addressed only superficially in the research literature. This paper synthesises 147 peer-reviewed publications from January 2020 to January 2026 across eight research dimensions. An important caveat must not be buried in the limitations section where it may be overlooked: practically all of the quantitative performance figures in this literature derive from a single live deployment—typically a SAP deployment—and are meaningful only within that specific context. The 96.8% anomaly detection rate reported from SAP purchasing logs is not a procurement specification applicable to other platforms; it is a localised, context-dependent measurement derived from a single production deployment. Practitioners on non-SAP platforms should not treat this figure as a performance baseline. Treating it as a general benchmark is not a cautious extension of the evidence but a category error.</p>

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Enterprise resource planning systems in the era of intelligent computing: a survey of AI integration, security and emerging paradigms (2020–2026)

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  • 出版模式：

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  • 发表日期：

    2026年7月2日

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  • Adiah Qazi

摘要

The market for enterprise software evolved significantly faster between 2020 and 2026 than the academic literature was able to track. Generative AI had already been introduced into production releases by vendors before some journal reviewers had even reached consensus on whether it should be considered for ERP at all. Zero-trust security followed a similar lifecycle: it moved from a theoretical recommendation to an operational baseline during this period, yet a substantial proportion of the peer-reviewed literature remained focused on detection thresholds rather than on architecture. Questions of autonomous agent behaviour, federated analytics across organisational boundaries, and fairness in AI-based procurement decision-making emerged from approximately 2023 onwards and have been addressed only superficially in the research literature. This paper synthesises 147 peer-reviewed publications from January 2020 to January 2026 across eight research dimensions. An important caveat must not be buried in the limitations section where it may be overlooked: practically all of the quantitative performance figures in this literature derive from a single live deployment—typically a SAP deployment—and are meaningful only within that specific context. The 96.8% anomaly detection rate reported from SAP purchasing logs is not a procurement specification applicable to other platforms; it is a localised, context-dependent measurement derived from a single production deployment. Practitioners on non-SAP platforms should not treat this figure as a performance baseline. Treating it as a general benchmark is not a cautious extension of the evidence but a category error.