What Makes Business Intelligence & Analytics Systems Stick? Identifying Recurrent Enablers in Management Accounting Practices

Walter Lasca & Marco Montemari

Management Control2025https://doi.org/10.3280/maco2025-002007article
ABDC C
Weight
0.37

What the paper says

Despite the growing interest in Business Intelligence & Analytics (BI&A) systems, many organizations still struggle to fully embed these tools into their Management Accounting (MA) practices after initial adoption. Yet, limited attention has been devoted to the stage of actual use, and prior studies have mostly examined individual enablers of use in isolation. This paper addresses this gap by investigating which bundle of enabling factors most frequently recur across organizations that have integrated BI&A systems into their MA practices. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) as a conceptual lens, the study is based on a cross-sectional field study involving eight Italian medium-sized and large companies. The findings reveal that BI&A system usage in MA contexts emerges not from isolated drivers, but from combinations of factors spanning organizational, technical, and behavioural dimensions. In particular, six enabling factors emerged as consistently present: (1) perceived usefulness of the BI&A system by end users, (2) strong understanding of company processes by management accountants, (3) collaborative implementation involving end users, (4) active management support, (5) cross-functional implementation teams, (6) demand-driven development of BI&A outputs. In addition, the study identifies the choice of the entry point, specifically the decision to start implementation with sales data, as a novel and underexplored enabler. Sales data, being highly accessible, easy to validate, and directly relevant to decision-making, played a crucial role in building early user trust and reducing perceived complexity. This trusted entry point contributed to lower resistance and foster confidence, allowing users to perceive the BI&A system as immediately useful and manageable.

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https://doi.org/https://doi.org/10.3280/maco2025-002007

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@article{walter2025,
  title        = {{What Makes Business Intelligence & Analytics Systems Stick? Identifying Recurrent Enablers in Management Accounting Practices}},
  author       = {Walter Lasca & Marco Montemari},
  journal      = {Management Control},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3280/maco2025-002007},
}

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Evidence weight

0.37

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

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
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.