Deciphering the role of diffusion of innovation theory and task technology fit model towards adoption of internet of things

Adel A. Alyoubi

International Journal of Business Information Systems, 2026, vol. 53, issue 2, 169-190

Abstract: There is mutual consensus among practitioners and academics that the internet of things creates competitive advantages for organisations. Nevertheless, adoption of IOT is still a big challenge in manufacturing firms due to the complex nature of technology. The current research aims to identify factors which influence employee behaviour to adopt internet of things. The research model of this study comprises factors underpinned by the diffusion of innovation theory and the task technology fit model to investigate employee behaviour towards adoption of internet of things. Data were collected from 282 employees working in manufacturing firms. Results revealed that altogether task technology fit, compatibility, innovativeness, communication capabilities and results demonstrability explained large variance R² 52% in adoption of internet of things. Findings suggest that firm performance could be achieved through innovativeness, complexity reduction and result demonstrability. This study is unique as it integrates task technology fit model and diffusion and innovation theory and enriches information system literature.

Keywords: internet of things; IOT; task technology fit; diffusion of innovation theory; complexity reduction; results demonstrability; COVID-19 crisis. (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.inderscience.com/link.php?id=156826 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijbisy:v:53:y:2026:i:2:p:169-190

Access Statistics for this article

More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().