Artificial Intelligence (AI): Intangible Challenges and Potential Solutions

This special session is organised and supported by the Liverpool Business School LJMU, UK and Umm Al Quwain University, UAE

Session Chair:

  • Prof. Nedal Sawan, Liverpool Business School, Liverpool John Moores University, UK;

Session Co-Chairs:

  • Prof Galal Hatem, Chancellor- Umm Al Quwain University, UAE
  • Dr Ahmed Eltweri,

Session Committee:

  • Prof Magdi El-Bannany, Dean , College of Business Administration, – Umm Al Quwain University, UAE
  • Dr Anis Zras, Aston University , UK
  • Dr Nobert Osemeke, Liverpool Business School Ljmu, UK
  • Dr Abdulatif Altounsi, Governor’s Office Central Bank of Libya
  • Dr Khaled Hamuda, Libyan Ministry of Education, Libya
  • Dr Fathi Ramdan Mousa, Libyan Academy of Postgraduate Studies, Libya
  • Dr Abdulaziz Alzeban, King Abdulaziz University, Saudi Arabia
  • Dr El-Mehdi Ferrouhi, Faculty of Economics & Management, Ibn Tofail University, Morocco
  • Dr Mhoammed Saleh Altarawneh, Mutah University, Jordan
  • Dr Krayyem Al-Hajaya, Mutah University, Jordan
  • Dr Rami Salem, University of Central Lancashire, UK
  • Dr Nouraden Adeeb, Vice Chancellor , The Higher Institute of Sciences & Technology –Libya
  • Dr Mohammed M.S. Omar, University Of Bahrain, Kingdom of Bahrain

Synopsis:

Session on Business , Accounting & Finance is a prestigious event organized with a motivation to provide an excellent international platform for the academicians, researchers, engineers, industrial participants and budding students around the world to SHARE their research findings with the global experts.

Topics:

Therefore, this special session invites authors to submit high-quality research papers on eBusiness, eAccounting and eFinance, covering topics which include (but are not limited to) the following:

  • Digital Marketing
  • eCommerce
  • Digital economy
  • Forensic Accounting
  • Auditing
  • Intelligent Computerise Accounting
  • Intelligent Financial Reporting
  • Big Data Analysis Using the Technology Acceptance Model (TAM)

Paper Submission:

Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system.