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Kamel Mouloudj

College of Economic,University of Medea · University of Medea, Algeria

https://researchid.co/mouloudj2025
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49Scopus Publications
731Google Scholar Citations
16Google Scholar h-index
19Google Scholar i10-index

Research Interests

My research interests center on planned behavior, sustainable and green practices, tourist and health behavior, app adoption, digital health, waste management, and e-learning. More broadly, I explore consumer behavior and modern marketing across a range of ind...

Biography

Prof. Dr. Kamel Mouloudj is a Professor at the College of Economics at the University of Medea in Algeria, specializing in research areas such as individual behavior prediction (including customers, employees, and students), marketing, waste management, sustainability, and green start-ups. He holds a Doctorate in Marketing from the University of Algiers 3 and has over 20 years of teaching experience. With more than 60 published works, Professor Mouloudj is also serving as the Chair of the Doctoral Training Committee in the Department of Commercial Sciences from 2019 to 2026. Additionally, he has actively participated in over 20 local and international conferences, contributing his expertise to a wide range of academic discussions.

Recent Scopus Publications

  1. Social Marketing for Health Equity: Promoting Preventive Health Behavior Among Women in Rural Communities
    International Journal of Environmental Research and Public Health, 2026
  2. Exploring healthcare workers’ intentions to volunteer in digital healthcare services for underserved communities: An extended TAM-based study
    Electronic Journal of General Medicine, 2026
  3. Preface
    Ethical Consumption and Responsible Innovation in Fashion Through AI, 2026
  4. Ethical Consumption and Responsible Innovation in Fashion Through AI
    Ethical Consumption and Responsible Innovation in Fashion Through AI, 2026
  5. AI, Fashion Expression, and the Reconfiguration of Human Relationships
    Ethical Consumption and Responsible Innovation in Fashion Through AI, 2026

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