Journal article 351 views 27 downloads
Beyond the hype: Organisational adoption of Generative AI through the lens of the TOE framework–A mixed methods perspective
,
Fern B. Davies ,
Keyao Li,
Senali Madugoda Gunaratnege,
Tegwen Malik ,
Yogesh Dwivedi
International Journal of Information Management, Volume: 86, Start page: 102982
Swansea University Authors:
Fern B. Davies , Tegwen Malik , Yogesh Dwivedi
-
PDF | Version of Record
© 2025 The Authors. This is an open access article under the CC BY license.
Download (2.45MB)
DOI (Published version): 10.1016/j.ijinfomgt.2025.102982
Abstract
It is widely accepted that the impact of Generative Artificial Intelligence (GenAI) has been nothing short of transformational, with tangible impacts on industry, education, healthcare and government. But beyond the headlines, how are organisations actually using GenAI, what are the key challenges e...
| Published in: | International Journal of Information Management |
|---|---|
| ISSN: | 0268-4012 |
| Published: |
Elsevier BV
2026
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa70530 |
| Abstract: |
It is widely accepted that the impact of Generative Artificial Intelligence (GenAI) has been nothing short of transformational, with tangible impacts on industry, education, healthcare and government. But beyond the headlines, how are organisations actually using GenAI, what are the key challenges experienced by decision makers and has the reality on the ground matched the hype? This study adopts a mixed-methods approach, utilising the Technology-Organisation-Environment (TOE) framework to reveal greater insights to how organisations are adopting GenAI, the drivers that affect decision making and the key challenges associated with greater use of the technology. This research adopts a mixed method approach incorporating an explorative qualitative step with industry participants followed by a survey of 304 (three hundred and four) decision makers from a cross section of industry sectors from around the world including: North America, Europe, Africa, Australia and Asia, to gain further insight to the underlying factors that drive GenAI adoption. The research model was validated using Structural Equation Modelling (SEM) and reveals the intricate and inherent complexities related to greater levels of GenAI adoption. The analysis highlights the critical role of change capacity of the organisation in moderating complexity and staff skills. This research provides valuable and timely insights for senior management and policy makers that are attempting to better understand the interdependencies and perspectives on the key challenges facing organisations looking to deliver greater impact on organisational performance through GenAI. |
|---|---|
| Keywords: |
Generative Artificial Intelligence; IS/IT adoption; Technology-Organisation-Environment framework |
| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
102982 |