Artificial Intelligence and the Future of Bureaucratic Power: Developing the Algorithmic Bureaucratic Power Framework in Public Administration

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Authors: Kamal Singh Kunwar
Cited by: 0

Abstract

A fully formatted, PAR-ready Blinded Manuscript with the following features: Features included: Blinded version: All author names, affiliations, and identifying metadata removed. Main manuscript (Sections 1–9): Introduction through Limitations & Future Research. Tables & Figures: Placed after references, with full captions and notes (Figures 1–4, Tables 1–2). Formatting: 12-pt Times New Roman, double-spaced, 1-inch margins, page numbers bottom center, section headings per PAR style. APA 7th citations: ≥45 peer-reviewed and authoritative sources, alphabetized reference list with DOIs. Blinded Title Page: Uploaded separately as required by PAR. Word count: ~10,000 words excluding references and appendices. Notes for submission: Ready for PDF/Word upload.

Fields of Study & Subjects

Ethics and Social Impacts of AI E-Government and Public Services Public Policy and Administration Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Language
EN