•  
  •  
 

Pacific Asia Journal of the Association for Information Systems

Editors

Editor-in-Chief: James JJ Jiang, National Taiwan University, Taiwan
Managing Editor: Jacob Chia-An Tsai, National Yunlin University of Science and Technology, Taiwan
 

PAJAIS is an AIS journal that focuses on enhancing the knowledge in information technology management with an emphasis on the research and development in the Asia Pacific Region. It is a quarterly journal that will publish high-quality papers in information systems. PAJAIS invites submissions of original research articles and research perspectives in the Pacific Asia region.

To submit an article for consideration, please use our online review ScholarOne system.

Announcements

PAJAIS's success is attributed to its inclusion in the prestigious Emerging Sources Citation Index (ESCI) and its recognition by the Australia Business Dean's Council (ABDC) as a B-level journal. PAJAIS has also been further solidified by being listed as a Level 2 journal in the Academic Journal Guide by the Chartered Association for Business Schools (CABS) of the UK. To add to its impressive accomplishments, PAJAIS has been indexed by key databases such as Scopus, EBSCO, ProQuest, and DBLP, which is primarily due to the effort by the Association for Information Systems, and the commitment of its Editorial Board in growing the journal's visibility and quality.

PAJAIS is delighted to provide the accepted version of its forthcoming papers in the PAJAIS Preprints Series. Access these Preprints by selecting them in the sidebar or through the link provided: https://aisel.aisnet.org/pajais_preprints.

PAJAIS has an official Facebook page where you can find the latest news and special issues. Visit us for more at https://www.facebook.com/pajaisjournal/. Stay up-to-date with our publications and never miss out on any new developments!

Special Issue

Call for Papers

Current Issue: Volume 17, Issue 1 (2025) Future and Business of Cryptocurrencies: A Special Issue for Information Systems Researchers

Editorial

Articles

PDF

An Event Study Approach to Analyze the Confounding Nature of Bitcoin on Blockchain Disclosures
Venu Bhaskar Puthineedi, Prajwal Eachempati, Ashish Kumar Jha, and Praveen Ranjan Srivastava

PDF

Classifying Ransomware-Bitcoin Nodes using Graph Embeddings
Adam B. Turner, Muhammad Ikram, and Allon J. Uhlmann

PDF

Achieving Performance and Reliability in Predicting the Marketing Price of Bitcoins through Blockchain Technology
Arshi Naim, Shad Ahmad Khan, Arshiya Mohammed, Asfiya Sabahath, and Praveen Kumar Malik