An Evaluation of Key Adoption Factors towards Using the Fog Technology

Ali, Omar and Shrestha, Anup ORCID: https://orcid.org/0000-0002-2952-0072 and Jaradat, Ashraf and Al-Ahmad, Ahmad (2022) An Evaluation of Key Adoption Factors towards Using the Fog Technology. Big Data and Cognitive Computing, 6 (3):81. pp. 1-36.

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Abstract

Fog technology is one of the recent improvements in cloud technology that is designed to reduce some of its drawbacks. Fog technology architecture is often widely distributed to minimize the time required for data processing and enable Internet of Things (IoT) innovations. The purpose of this paper is to evaluate the main factors that might influence the adoption of fog technology. This paper offers a combined framework that addresses fog technology adoption based on the technology adoption perspective, which has been comprehensively researched in the information systems discipline. The proposed integrated framework combines the technology acceptance model (TAM) and diffusion of innovation (DOI) theory to develop a holistic perspective on the adoption of fog technology. The factors that might affect the adoption of fog technology are analyzed from the results of an online survey in 43 different organizations across a wide range of industries. These factors are observed based on data collected from 216 participants, including professional IT staff and senior business executives. This analysis was conducted by using structural equation modeling (SEM). The research results identified nine factors with a statistically significant impact on the adoption of fog technology, and these factors included relative advantage, compatibility, awareness, cost-effectiveness, security, infrastructure, ease of use, usefulness, and location. The findings from this research offer insight to organizations looking to implement fog technology to enable IoT and tap into the digital transformation opportunities presented by this new digital economy.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Business (18 Jan 2021 -)
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Business (18 Jan 2021 -)
Date Deposited: 28 Jul 2022 03:24
Last Modified: 04 Oct 2022 02:27
Uncontrolled Keywords: fog technology; fog computing; edge computing; adoption; diffusion of innovation (DOI) theory; technology acceptance model (TAM); internet of things (IoT)
Fields of Research (2020): 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3503 Business systems in context > 350303 Business information systems
46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460908 Information systems organisation and management
Socio-Economic Objectives (2020): 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220408 Information systems
Identification Number or DOI: https://doi.org/10.3390/bdcc6030081
URI: http://eprints.usq.edu.au/id/eprint/50502

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