Leading Edge or Bleeding Edge: Designing a Framework for the Adoption of AI Technology in an Educational Organization

Sayed Fayaz Ahmad (), Muhammad Mansoor Alam, Mohd. Khairil Rahmat (), Muhammad Khalil Shahid, Mahnaz Aslam, Nur Agus Salim and Mohammed Hasan Ali Al-Abyadh
Additional contact information
Sayed Fayaz Ahmad: Department of Engineering Management, Institute of Business Management, Karachi 74900, Pakistan
Muhammad Mansoor Alam: Faculty of Computing, Riphah International University, Islamabad 46000, Pakistan
Mohd. Khairil Rahmat: Centre of Research & Innovation, Universiti Kuala Lumpur, Kuala Lumpur 50250, Malaysia
Muhammad Khalil Shahid: Highier Colleges of Technology, Abu Dhabi P.O. Box 25026, United Arab Emirates
Mahnaz Aslam: Department of Education, University of Turbat, Turbat 92600, Pakistan
Nur Agus Salim: Program Studi Pendidikan Guru Sekolah Dasar, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Widya Gama Mahakam Samarinda, Kota Samarinda 75243, Indonesia
Mohammed Hasan Ali Al-Abyadh: College of Education, Prince Sattam Bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia

Sustainability, 2023, vol. 15, issue 8, 1-20

Abstract: Adopting Artificial Intelligent Technology in an Educational Organization is often problematic due to many internal and external environmental reasons, and often fails to attain the desired goals. This study aims to design a framework for adopting AI technology in the education sector. Most of the research focuses on the acceptance of a particular technology and ignores the study of what else is needed for a technology acceptance. The framework in this study provides a step-by-step process of the Technological Transformation of an organization never designed before. We recommend that before making any technological changes in an organization, generally and in the educational organization particularly, the processes must be followed for the successful and meaningful adoption of AI technology.

Keywords: technology acceptance model; technology adoption model; artificial intelligence; education (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/8/6540/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/8/6540/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:8:p:6540-:d:1121775

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().