Academic Achievements
Dr. Shermeen Hasan | Marketing Academic, Researcher & AI-Enabled Educator
Academic achievement is no longer defined solely by formal qualifications. For contemporary academics, disciplinary knowledge increasingly intersects with research capability, scholarly evaluation, digital transformation, and an informed understanding of emerging technologies such as Generative AI.
Dr. Shermeen Hasanโs academic profile brings these dimensions together through doctoral-level marketing expertise, international research publications, academic peer-review experience, quantitative research skills, and continuing professional development in Artificial Intelligence and Generative AI.
Academic Profile at a Glance
Research. Teach. Inspire
PhD | Research | Scholarly Contribution |
|---|---|---|
| Management Sciences โ Marketing | 6 International Research Publications | Academic Manuscript Reviewer |
Research Methods | Research Domains | Emerging Expertise |
| SPSS โข SmartPLS โข PLS-SEM โข Quantitative Research | Consumer Behaviour โข Influencer Marketing โข Digital Marketing โข Social Media | Artificial Intelligence โข Generative AI โข AI Governance โข AI-Assisted Research |
Research & Academic Expertise
Marketing Research. Influencer Marketing. Quantitative Research
My academic profile is grounded in doctoral-level research in Marketing, with a particular focus on influencer marketing and the role of social media influencer authenticity in shaping consumer responses.
My doctoral research examined how influencer authenticity can influence consumerโbrand relationships and value co-creation, connecting contemporary digital marketing phenomena with established theories of consumer behaviour.
This research journey has developed my expertise in quantitative research methodology, Structural Equation Modeling (SEM), PLS-SEM, and SmartPLS, enabling me to investigate complex relationships among marketing constructs using empirical research methods.
My research experience has resulted in six international research publications, reflecting a sustained engagement with scholarly inquiry and the development of knowledge in marketing.
Academic Peer review & Scholarly contribution
Consumer Behavior. e-Commerce. Consumer Psychology
Research expertise is strengthened not only through producing scholarly work, but also through critically evaluating the research of other scholars. My experience as an academic manuscript reviewer has allowed me to contribute to the scholarly review process across marketing, consumer behaviour, electronic commerce, psychology, and related fields.
Electronic Commerce Research
Impact Factor: 4.9
Peer reviewer for research addressing contemporary issues in electronic commerce, digital consumer behavior, online markets, digital platforms, and technology-enabled business and marketing.
Frontiers in Psychology
Impact Factor: 3.8
Peer reviewer for research involving psychological perspectives, consumer behavior, social and behavioral research, and interdisciplinary research relevant to marketing and management.
International Journal of Consumer Studies
Impact Factor: 9.9
Peer reviewer for research in consumer behavior, consumer decision-making, customer experiences, marketing, and contemporary consumer research.
From Researcher to Scholarly Evaluator
My peer-review experience complements my own research and publication record by providing an additional perspective on how scholarly work is assessed. Evaluating manuscripts across marketing, consumer behaviour, electronic commerce, psychology, and related disciplines has broadened my exposure to contemporary research questions, methodologies, and emerging areas of scholarship.
This commitment to scholarly evaluation is part of a broader approach to continuous academic developmentโone that increasingly includes understanding how Artificial Intelligence and Generative AI are transforming research, knowledge discovery, and academic practice.
AI & Generative AI: Extending Academic Expertise
Recognizing this shift, I have deliberately expanded my professional development into Artificial Intelligence, Generative AI, Agentic AI, AI Governance, AI-assisted research and writing, and emerging approaches to search and knowledge discovery.
AI & Generative AI
EMERGING TECHOLOGIES
- Artificial Intelligence
- Generative AI
- Agentic AI
- AI Governance
AI-Assisted Research
RESEARCH & WRITING
- AI-Assisted Research
- Research Writing
- Perplexity
- GenAI Tools
Research & Methodolgy
QUANTITATIVE RESEARCH
- SPSS
- SmartPLS
- PLS-SEM
- Quantitative Methods
Digital & Professional Skills
DIGITAL KNOWLEDGE ENVIRONMENT
- SEO
- GEO
- AEO
- Drigital Transformation
Leadership & Digital Transformation
PEOPLE STRATEGY & CHANGE
- Agile Team Leadership
- Digital Transformation
- Superbosses
THE CHANGING ACADEMIC LANDSCAPE
Why AI Literacy Matters in Contemporary Academia
Research | Knowledge & Discovery | Academic Practice |
|---|---|---|
| AI-assisted research and writing can expand the tools available to researchers while requiring critical scholarly judgment. | Emerging AI-powered information environments are changing how researchers and learners discover and engage with knowledge. | Understanding Generative AI enables academics to engage more thoughtfully with evolving approaches to teaching, learning, communication, and research.
|
My continuing professional development in Artificial Intelligence, Generative AI, AI-assisted research and writing, Perplexity, SEO, GEO, and AEO reflects my commitment to extending my academic capabilities into these emerging areas.
