AIDigital HRMAuthor Profile

Author, provenance and credibility

About Kushan Liyana Arachchige

This page documents the author and project lead behind the AI-Digital HRM Survey Diagnostic Dashboard. It makes authorship, scope, methodology, and external profile links easy to verify.

Visit website Open LinkedIn

Multidisciplinary researcher

Kushan Liyana Arachchige

Kushan Liyana Arachchige is the author and project lead for this AI-Digital HRM survey dashboard and the related AI-Powered Digital HRM Future Lab workshop. His public website describes him as a multidisciplinary researcher and lists research focus areas including generative AI acceptance, AI reasoning, risk automation, and live commerce.

The dashboard was prepared to convert anonymized pre-workshop questionnaire responses into teaching decisions for Sri Lankan HRM students. It combines descriptive survey analytics, misconception diagnosis, privacy-preserving data handling, and comparison against peer-reviewed AI-HRM and digital HRM literature.

Credibility map

How this project supports experience, expertise, authoritativeness and trust

Experience

Applied teaching design

The dashboard is connected to a real 4-hour AI-Digital HRM primer workshop, with survey-informed facilitation moves, student focus areas, and workshop design recommendations.

Expertise

AI and HRM learning focus

The analysis draws on AI-HRM, responsible AI, generative AI adoption, digital HRM, gamification, algorithmic recruitment, and student AI-literacy research.

Authoritativeness

Named author and external profiles

The page links the named author to his public website and LinkedIn profile, and the app uses structured metadata to make authorship machine-readable.

Trust

Transparent privacy method

The raw questionnaire is not included. Names, registration numbers, contact details, raw timestamps, batch labels, and raw free-text responses were removed before public visualization.

Relevant public research focus

Publicly listed research areas and projects relevant to this dashboard include:

  • Generative AI acceptance
  • AI reasoning
  • Risk automation
  • Live commerce
  • AI chatbot adoption among students and university teachers
  • DeepSeek reasoning acceptance among credit staff in China’s banking industry

Scope and limitations

This dashboard is an instructional diagnostic for one pre-primer questionnaire cohort. It should not be interpreted as a national estimate of Sri Lankan HRM students or as a formal PRISMA systematic review.

  • Use it to adapt workshop delivery.
  • Use it to identify misconceptions and confidence gaps.
  • Do not use it to evaluate individual students.
  • Do not reconnect anonymized IDs to real identities.

Method transparency

What was done to make the analysis reviewable

AuthorshipNamed author and project lead: Kushan Liyana Arachchige. External references: personal website and LinkedIn profile.
Evidence baseThe dashboard includes a peer-reviewed rapid narrative literature comparison and APA-style reference list.
Data protectionThe original CSV is excluded. Only aggregate statistics, pseudonymous respondent IDs, coded themes, and non-identifying indices are used.
Review statusThe analysis is suitable for instructional design and stakeholder briefing. It is not a legal, institutional audit, or national-level statistical study.

Suggested citation

Cite or describe this dashboard