PhD Paper: AI in HRM

Job ID: 40007643

Budget: ₹12,500 – ₹37,500 INR

I need a full-length, PhD-level research paper that examines how Artificial Intelligence is reshaping Employee Performance Evaluation within Human Resource Management. The study must be framed around real-world case studies, written to academic standards, and prepared for publication in an open-access journal that is already indexed by Scopus.

Scope of work
From concept refinement through final acceptance, I’d like you to handle every stage: deep literature mapping, data collection for two to three solid case studies, rigorous academic writing (approx. 8,000–10,000 words), reference formatting, language polishing, and all submission logistics. This includes selecting a suitable Scopus-listed open-access outlet, uploading files, completing metadata forms, and managing correspondence with editors and reviewers until the paper is formally accepted.

Key deliverables
• Draft outline and proposed journal shortlist for my approval
• Completed manuscript with at least two detailed AI-driven performance-evaluation case studies, fully cited in APA format
• Turnitin similarity report (<10 %)
• Revised versions responding to reviewer comments until “Accepted” status
• Final proofs and open-access publication link

Acceptance criteria
The paper must align with Scopus journal guidelines, demonstrate clear methodological rigor befitting doctoral research, and successfully pass peer review-–culminating in publication.

If you are experienced with HR analytics, AI applications, and scholarly publishing workflows, I’d be happy to collaborate and move quickly on this project.