Admissions open Take the eligibility test & see if you can join the next batch. Take the test →
Insights · Research Papers

Original research in professional education.

Advancing the evidence base for competency-based professional education in digital marketing.

Why we publish research

Peer-reviewable, not promotional.

aFactor conducts original research with a single objective: advancing the methodology of competency-based professional education. This is not thought leadership produced for marketing purposes. It is peer-reviewable research that interrogates assumptions, tests frameworks, and contributes to the empirical foundation upon which effective education must be built.

The research published here addresses fundamental questions that the digital marketing education industry has largely neglected - how competence should be measured, what predicts workplace readiness, and how curriculum design can be structurally aligned to role requirements.

See the Competency Model

Following evidence where it leads.

These are not rhetorical questions. They require data, rigorous methodology, and the intellectual honesty to follow evidence where it leads - including when it challenges prevailing practice.

Findings inform the design of the Competency Model, the calibration of assessment instruments, and the architecture of every programme in the Programme Catalogue.

Empirical methods Peer review Open access
Featured research

Current paper from the research programme.

Each paper undergoes internal review and is prepared to a standard suitable for external peer review and academic publication.

White paper · First edition 2026

Foundations for Digital Marketing in the AI & Algorithmic Era

Why the discipline is turning back toward marketing - and what capability now means. For two decades, digital marketing was treated as a discipline apart from marketing. AI is dissolving the scarcity that created that separation: as machines plan, target, produce, optimise, and report, the value of operating the machine falls, and the value of deciding what the machine should do - for whom, and why - rises.

aFactor Education Excellence Council 19 pages Open access Read the paper →
Recent papers

Published papers.

Everything currently released from the research programme. Each paper states its sources, marks its weakest evidence, and sets out what would change its conclusion.

Foundations

Foundations for Digital Marketing in the AI & Algorithmic Era

Why the discipline is turning back toward marketing, and what capability now means. As machines plan, target, produce, optimise and report, the value of operating the machine falls and the value of deciding what it should do - for whom, and why - rises.

19 pages First edition 2026 Read the paper
Policy Analysis

What India’s New Skilling Blueprint Actually Says

NITI Aayog’s Reimagining Skilling for Viksit Bharat@2047, read in full. ₹34,000 crore allocated, 7.67 crore people skilled, and 8.25 per cent of graduates working in roles aligned to their qualification. Includes an honest account of where aFactor does not match the report.

11 pages August 2026 Read the analysis
Research themes

Four interconnected research domains.

Each domain addresses a distinct methodological question; together, they form a comprehensive research agenda for competency-based professional education.

01

Competency-based assessment methodology

Developing and validating instruments that measure professional competence rather than knowledge recall. Research examines how scenario-based, integrative methods can reliably distinguish surface familiarity from genuine capability.

Assessment design
02

Role readiness measurement

Defining and operationalising the concept of role readiness - the point at which a professional possesses the integrated competencies required to perform effectively in a specific position.

Readiness
03

Digital marketing pedagogy

Investigating how digital marketing should be taught as a professional discipline rather than a collection of tool-specific skills. Curriculum architecture, learning design patterns, and instructional approaches.

Pedagogy
04

Industry–academia gap analysis

Quantifying the structural disconnect between what educational institutions produce and what the digital marketing profession requires. Combines employer data, graduate outcome analysis, and competency benchmarking.

Empirical
Research standards Active
Empirical methodsRequired
Internal reviewPre-publication
External peer reviewSubmission-ready
Open accessDefault
Research standards

The standard of rigour we demand of our own education.

aFactor holds its research to the same standard of rigour that it demands of its educational methodology. Every paper published under the aFactor name adheres to established empirical methods, transparent data reporting, and a commitment to intellectual honesty that prioritises accuracy over narrative convenience.

Read Publications

Empirical methods

Research is grounded in observable, measurable data - assessment instruments, graduate outcome tracking, employer surveys, structured competency evaluations. Conclusions follow from evidence, not first principles.

Evidence-led

Peer review

All aFactor research undergoes internal review before publication and is prepared to a standard suitable for submission to external peer-reviewed journals. External review status is noted on each paper.

Reviewed

Open access commitment

Research that informs professional education methodology should be accessible to the people it affects. Published papers are made available without charge. The purpose is to advance the discipline, not to gatekeep it.

Free access

Transparent data

Where research draws on assessment, survey, or outcome data, the methodology, sample, and analytical approach are reported in full. Reproducibility is the foundation of credibility.

Reproducible

Access the research.

Download aFactor's latest research on competency-based education methodology, or explore how these findings are applied in the Competency Model.

Download latest research