Cited by 300Technology Adoption and User BehaviourInnovation Diffusion and ForecastingArtificial Intelligence Applications

Explore success factors that impact artificial intelligence adoption on telecom industry in China

Chen, Hong, Li, Ling, Chen, Yong·2021·Journal of Management Analytics

Abstract

As the core driving force of the new round of informatization development and industrial revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and comprehensively infiltrating into various fields of human activities. Although technologies and applications of AI have been widely studied and factors that affect AI adoption are identified in existing literature, the impact of success factors on AI adoption remains unknown. Accordingly, this paper proposes a framework to explore the impacts of success factors on AI adoption in telecom industry by integrating the technology, organization, and environment (TOE) framework and diffusion of innovation (DOI) theory. Particularly, this framework consists of factors regarding external environment, organizational capabilities, and innovation attributes of AI. The framework is empirically tested with data collected by surveying telecom companies in China. Structural equation modeling is applied to analyze the data. The study provides support for firms’ decision-making and resource allocation regarding AI adoption.

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Registry

Crossref · 10.1080/23270012.2020.1852895

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114 of 114 references verified0 citation errors · 0 not checkable

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  • Several studies in public administration have used the TOE framework to study AI adoption.

    “Several studies in public administration have used the TOE framework to study AI adoption (Chen, Ling, and Chen 2021; Desouza, Dawson, and Chenok 2020; Mikalef et al. 2021).”
  • Numerous studies are conducted on TOE, assessing the factors in successful AI implementation at the individual level in various domains.

    “Furthermore, numerous studies are conducted on TOE, assessing the factors in successful AI implementation at the individual level in various domains (Alsheibani et al., 2020; Chen et al., 2021; Oyetunde et al., 2022).”

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Authors
Chen, H., Li, L., & Chen, Y.
Affiliations
  • Indiana University East (US)
  • Old Dominion University (US)
  • Texas A&M International University (US)
Corresponding author
Chen, Hong
Venue
Journal of Management Analytics
Published
2020-12-22
Volume
8
Issue
1
Pages
36-68
ISSN
  • 2327-0012 (ISSN-L)
  • 2327-0039
OpenAlex
W3117699358
Cited by
300
References
114
Citations by year
2026: 38 · 2025: 83 · 2024: 61 · 2023: 47 · 2022: 53 · 2021: 18
FWCI
29.22
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Management Analytics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
artificial intelligence adoption, telecommunications industry, success factors, technology-organization-environment framework, diffusion of innovation theory, organizational capabilities, external environment, telecommunications companies, China

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