The rapid advancement of artificial intelligence (AI) technologies has opened up new possibilities for conceptual modelling (ER) businesses across various industries. However, the effective application of these technologies requires a deep understanding of both their potential and their limitations

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

 ​ ● AI on Conceptual Modelling: Exploring how AI can enhance the process of capturing, distributing, and effectively using knowledge in conceptual modeling.

 ● AI in Decision-Making: Investigating the role of AI in improving decision-making processes in business services.

 ● AI and Process Automation in Knowledge Services & Business: Studying the potential of AI in automating routine tasks in business, thereby increasing efficiency and reducing costs.

 ● Ethical Considerations in AI Applications in Knowledge Services & Business: Examining the ethical implications of using AI in businessng, including issues of privacy, bias, and transparency.

 ● AI and Big Data in Knowledge Services & Business: Researching how AI can help consultants make better use of big data to provide more insightful and personalized services.

● The Future of AI in Knowledge Services & Business: Predicting future trends and developments in the use of AI in business services.

 ● Case Studies of Successful AI Applications in Knowledge Services & Business: Analyzing successful case studies where AI has been used to improve business services.

Committees

Program Committee

• Yudho Giri, Indonesia University, Indonesia (yudho@cs.ui.ac.id) 
• Kyung-Hye Park, Chungnam National University, Korea (kpark@cnu.ac.kr)
• Burmaa Natsag (National University of Mongolia) (burmaan@yahoo.com)
• Hyung-Yong Lee, Hansung University, Korea(leemit@hansung.ac.kr)
• Hyunchul Ahn, Kookmin University, Korea(hcahn@kookmin.ac.kr)
• KyooSung Noh, Korea Association of Software Manpower, Korea (ksnoh114@gmail.com)
• Seunghee Lee, Kumoh Institute of Technology, Korea (marketing@kumoh.ac.kr)
• Mincheol Kim, Jeju National University, Korea (mck1292@jejunu.ac.kr)
• Joon Youn Kim, Software Policy & Research Institute, Korea (catchup@spri.kr)
• Ho-Seok Yu, Software Policy & Research Institute, Korea (hsy@spri.kr)
• Jae-Jin, Ko, Korea Electronics Technology Institute, Korea (jaejini@keti.re.kr)
• Seon-phil Jeong, BNU-HKBU United International College, China (spjeong@uic.edu.cn)
• Sang-Min YOON, Kookmin University, Korea (smyoon@kookmin.ac.kr)
• Maros Halama, Technical University of Kosice, Slovakia (maros.halama@tuke.sk)
• Han-Sung Yoon, Hansung University, Korea (hansyoon@hansung.ac.kr)

Organizing committee

• Jin-Taek Jung, Hansung University, Korea (jungjt@hansung.ac.kr)

Contact

All questions about submissions should be emailed to jungjt@hansung.ac.kr

Submission Guidelines

Submit papers via EasyChair for ER 2024 to the “AISA‘2024 Workshop Papers” Track.

Since the proceedings will be published by Springer in the LNCS series, authors must submit manuscripts using the LNCS style or Overleaf. The page limit is 16 pages (excluding references). Papers will be judged on contribution, literature basis, novelty, clarity, relevance, and rigor. The review process is double-blind. Submissions must be anonymized.