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Cited by 331

The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.

Business intelligence & analytics in management accounting research: Status and future focus

Open access
Rikhardsson, Pall, Yigitbasioglu, Ogan·2018·International Journal of Accounting Information Systems

Abstract

Executives see technology, data and analytics as a transforming force in business. Many organizations are therefore implementing business intelligence & analytics (BI&A) technologies to support reporting and decision-making. Traditionally, management accounting is the primary support for decision-making and control in an organization. As such, it has clear links to and can benefit from applying BI&A technologies. This indicates an interesting research area for accounting and AIS researchers. However, a review of the literature in top accounting and information systems journals indicates that to date, little research has focused on this link. This article reviews the literature, points to several research gaps and proposes a framework for studying the relationship between BI&A and management accounting.

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Crossref · 10.1016/j.accinf.2018.03.001

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Metadata

Authors
Rikhardsson, P., & Yigitbasioglu, O.
Venue
International Journal of Accounting Information Systems
Publisher
Elsevier BV
Published
2018-06
Volume
29
Pages
37-58
ISSN
1467-0895 (ISSN-L)
OpenAlex
W2797543619
Cited by
331
References
133
FWCI
32.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Business intelligence & analytics in management accounting research: Status and future focus. https://app.cochat.ai/papers/10.1016/j.accinf.2018.03.001
The paper
Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems. https://doi.org/10.1016/j.accinf.2018.03.001

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.