Reference health

Towards the governance of government data using artificial intelligence

https://doi.org/10.2139/ssrn.3992303
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13/13 checkable references clean · checked 2026-08-24

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

16 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 13 checked references that resolve
resolves10.5539/ijbm.v13n8p86
The Role of Enterprise Resource Planning Systems ERP in Improving Customer Relationship Management CRM: An Empirical Study of Safeway Company of Jordan
resolves10.1109/EPEC.2015.7379940
Smart metering and functionalities of smart meters in smart grid - a review
resolves10.1109/ACCESS.2021.3101938
An Ontological-Based Model to Data Governance for Big Data
resolves10.1016/j.giq.2017.03.001
An empirical validation of a unified model of electronic government adoption (UMEGA)
resolves10.1109/MIC.2017.4180835
A Layered Model for AI Governance
resolves10.1016/j.giq.2020.101493
Data governance: Organizing data for trustworthy Artificial Intelligence
resolves10.1016/j.telpol.2020.101976
AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings
resolves10.1001/jamasurg.2019.4917
Artificial Intelligence and Surgical Decision-making
resolves10.1057/s41599-020-0501-9
Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward
resolves10.1093/jamia/ocz192
A governance model for the application of AI in health care
resolves10.1080/01441647.2018.1494640
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks
resolves10.1504/IJTM.2020.112139
How does human resource department's client relationship management affect sustainable enterprise performance - in the context of artificial intelligence
resolves10.1080/01900692.2018.1498103
Artificial Intelligence and the Public Sector—Applications and Challenges
The 16 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedDrivers of E-Government Citizen Satisfaction and Adoption: The Case of Jordan
no DOI — not checkedref5
no DOI — not checkedWhat is information governance and how does it differ from data governance?
no DOI — not checkedref7
no DOI — not checkedref11
no DOI — not checkedBig data governance of automated algorithmic decision-making processes
no DOI — not checkedInvestigating the Ethical and Data Governance Issues of Artificial Intelligence in Surgery: Protocol for a Delphi Study
no DOI — not checkedAlgorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities
no DOI — not checkedPredicting and explaining corruption across countries: A machine learning approach
no DOI — not checkedref19
no DOI — not checkedref22
no DOI — not checkedGoverning digital technology-how mature IT governance can help in digital transformation?
no DOI — not checkedGovernance of artificial intelligence
no DOI — not checkedGoverning the adoption of robotics and autonomous systems in longterm care in Singapore
no DOI — not checkedGovernance of artificial intelligence and personal health information
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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