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Integrating Analytics in Enterprise Systems: A Systematic Literature Review of Impacts and Innovations

Author

Listed:
  • Maria C. Solano

    (School of Engineering, Universidad de los Andes, Bogotá DC 111711, Colombia)

  • Juan C. Cruz

    (School of Engineering, Universidad de los Andes, Bogotá DC 111711, Colombia)

Abstract

Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing on the factors influencing the adoption of analytical components in EISs and assessing their impact on strategic decision-making in organizations. Following the PRISMA 2020 guidelines, we meticulously selected and reviewed articles from the Scopus database, employing a robust taxonomy based on the technology–organization–environment (TOE) framework to categorize findings. Our methodology involved a thorough screening of 234 studies, leading to a final analysis of 45 peer-reviewed articles that met our stringent criteria. These studies collectively underscore a significant gap in organizational capabilities, notably in the business ecosystems surrounding EISs, which hampers the effective adoption and utilization of advanced analytics. The results highlight a distinct need for improved understanding and implementation strategies for integrated analytics within EISs to enhance strategic decision-making processes. This review identifies critical factors for integrating analytics into Enterprise Information Systems (EISs), emphasizing technological, organizational, and environmental dimensions. It highlights a significant gap in models guiding ERP systems with Business Intelligence (BI) capabilities and underscores the need for robust research to enhance strategic decision-making through analytics.

Suggested Citation

  • Maria C. Solano & Juan C. Cruz, 2024. "Integrating Analytics in Enterprise Systems: A Systematic Literature Review of Impacts and Innovations," Administrative Sciences, MDPI, vol. 14(7), pages 1-26, June.
    • Handle: RePEc:gam:jadmsc:v:14:y:2024:i:7:p:138-:d:1426154
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    References listed on IDEAS

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    1. Jorge Rodrigues & Pedro Ruivo & Björn Johansson & Tiago Oliveira, 2016. "Factors for Adopting ERP as SaaS amongst SMEs: The Customers vs. Vendor Point of View," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 29(4), pages 1-16, October.
    2. Oliveira-Dias, Diéssica de & Maqueira-Marin, Juan Manuel & Moyano-Fuentes, José & Carvalho, Helena, 2023. "Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance," International Journal of Production Economics, Elsevier, vol. 262(C).
    3. Ruivo, Pedro & Oliveira, Tiago & Neto, Miguel, 2014. "Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs," International Journal of Accounting Information Systems, Elsevier, vol. 15(2), pages 166-184.
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    Cited by:

    1. Mpho Kgakatsi & Onthatile P. Galeboe & Kopo K. Molelekwa & Bonginkosi A. Thango, 2024. "The Impact of Big Data on SME Performance: A Systematic Review," Businesses, MDPI, vol. 4(4), pages 1-64, November.
    2. Sanjeev Shiwakoti, 2025. "Leveraging SAP FICO and Business Analytics for Financial Transparency and Decision Intelligence in Modern Enterprises," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 8(02), pages 293-318.
    3. Amer Morshed & Laith T. Khrais, 2025. "Cybersecurity in Digital Accounting Systems: Challenges and Solutions in the Arab Gulf Region," JRFM, MDPI, vol. 18(1), pages 1-24, January.

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