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Addressing the Last Mile Problem in Open Government Data: Using AIS Technologies to Enhance Governmental Financial Reporting

Li, Huaxia; Wei, Danyang; Moffitt, Kevin; Vasarhelyi, Miklos

Addressing the Last Mile Problem in Open Government Data: Using AIS Technologies to  Enhance Governmental Financial Reporting Thumbnail


Authors

Huaxia Li

Profile image of Kathy Wei

Kathy Wei danyang.wei@durham.ac.uk
Assistant Professor

Kevin Moffitt

Miklos Vasarhelyi



Abstract

Although the OGD initiative has gained global momentum over the past two decades, the lack of a machine-readable format for much financial OGD in the U.S. hinders stakeholders' ability to use this information. This study draws on the “last mile problem”—a term that originally symbolizes inefficiencies in the final stage of delivering goods or services to end-users—to describe the difficulties that stakeholders face when analyzing PDF-type financial OGD. Following a design science methodology, this study proposes a report analysis framework to address this problem, develop processes, and evaluate its performance through a GASB standard-setting process (PIR). Results indicate that this framework achieves a 95.8 percent accuracy rate for data extraction from governmental reports and is four times faster than GASB's existing approach. This research contributes to the government accounting literature by applying accounting information system technologies to enhance the usability of OGD for various accounting users.

Citation

Li, H., Wei, D., Moffitt, K., & Vasarhelyi, M. (online). Addressing the Last Mile Problem in Open Government Data: Using AIS Technologies to Enhance Governmental Financial Reporting. Journal of Emerging Technologies in Accounting, https://doi.org/10.2308/JETA-2024-018

Journal Article Type Article
Acceptance Date Jun 5, 2025
Online Publication Date Jul 10, 2025
Deposit Date Jun 18, 2025
Publicly Available Date Jul 18, 2025
Journal Journal of Emerging Technologies in Accounting
Print ISSN 1554-1908
Electronic ISSN 1558-7940
Publisher American Accounting Association
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.2308/JETA-2024-018
Public URL https://durham-repository.worktribe.com/output/4107723
Publisher URL https://publications.aaahq.org/jeta

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