posted by organizer: AJEMS || 38 views || tracked by 1 users: [display]

AJEMS 2026 : Arsad Journal for Economic and Management Studies

FacebookTwitterLinkedInGoogle

Link: https://asjp.cerist.dz/en/PresentationRevue/628
 
When Apr 25, 2026 - May 10, 2026
Where Online / Skikda, Algeria
Submission Deadline May 10, 2026
Categories    economics   management   finance   business
 

Call For Papers

Arsad Journal for Economic and Management Studies (AJEMS)
E-ISSN: 2716-8107 | Published by University of Skikda, Algeria.
​Call for Papers: June 2026 Issue
AJEMS is an international, peer-reviewed journal dedicated to advancing economic and administrative knowledge. We are currently working diligently toward achieving Class (C) national ranking and global indexing.
​Why Publish with Us?
​ASJP Impact Factor: 0.7551
​Diamond Open Access: No publication fees (Free for authors and readers).
​Fast Peer Review: Average 90 days.
​Languages: We accept research papers in English, Arabic, and French.
​Topics: Macro/Microeconomics, Strategic Management, Islamic Finance, Sustainable Development, and Digital Economy.
​Submission Link: https://asjp.cerist.dz/en/submission/628

Related Resources

2026 SNUAC Conference on Asian Studies 2026   (2026 SNUAC Conference on Asian Studies) Transcending Borders: Asia and Beyond in an Age of Multi-Crisis
AIDF 2026   2026 2nd International Conference on Artificial Intelligence and Digital Finance
Anticolonial Platform Studies 2026   Anticolonial Platform Studies
IJHAS 2026   International Journal of Humanities, Art and Social Studies
AIII 2026   2026 International Conference on Artificial Intelligence and Industrial Internet
BDAIE 2026   2026 2nd International Conference on Big Data, Artificial Intelligence and Digital Economy-EI/Scopus
SSGRB 2026   3rd Sustainable Solutions for Growth - Research and Business
AEPF 2026   2026 Asia Economics and Policy Forum ‘LIVE’
ICEBA 2026   2026 The 12th International Conference on E-Business and Applications (ICEBA 2026)
MLDS 2026   2026 International Conference on Machine Learning and Data Security-EI/Scopus