Global Technology, Local Adoption: A Cross-Country Investigation of Internet Adoption by Companies in the United States and China
Abstract
To gain a better understanding of the global diffusion of e‐business among organizations in developed and developing countries and to investigate the relationships among e‐business contexts, economic environment, and organizational adoption, we conducted a firm‐level survey in two countries – the United States and China – and tested a research framework built upon the technology‐organization‐environment framework. Empirical data from 262 US firms and 175 Chinese firms provided evidence about the extent of organizational adoption of e‐business. Major findings include: 1) Chinese firms lag in using e‐business‐related technologies, especially interorganizational technologies; 2) US firms make more extensive use of the Internet; and 3) government regulation plays a more important role in China than in the US. Moreover, using structural equation modelling, we further teased out four adoption facilitators in general – technology competence, enterprise integration, competition intensity, and regulatory environment. These factors played different roles in different economic environments. The paper concludes with a discussion of the major results and implications.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
TAM studies the individual relationship of technology acceptance, adoption, and BI to use.
“TAM studies the individual relationship of technology acceptance, adoption, and BI to use [6,14].”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [6]
TAM is widely used to understand IT adoption and usage process.
“The TAM is a model that is widely used to understand IT adoption and usage process accordingly and the reason for its popularity is that the model clarifies variances like behavioral intention (BI) relevant to IT appropriation and use over a broad range of settings.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [6]
T-O-E Framework was developed by [6] for organisational adoption based on the Contingency Theory of Organisations.
“As per [4], T-O-E Framework was developed by [6] for organisational adoption based on the Contingency Theory of Organisations.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [6]
A newly developed model by [6] based TAM named the shopping acceptance model (OSAM) was created to study online shopping behaviour.
“A newly developed model by [6] based TAM named the shopping acceptance model (OSAM) was created to study online shopping behaviour.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [6]
To have a better overview on IT adoption and acceptance, the primitive framework (TAM2 and TAM3) had to be extended and includes PU and PEOU categories.
“[6] states that to have a better overview on IT adoption and acceptance, the primitive framework (i.e.TAM2 and TAM3) had to be extended and includes PU and PEOU categories.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [6]
The T-O-E framework has been used across various industries to explain the adoption of interorganisational systems, e-business, electronic data interchange, open systems, enterprise systems, and a broad spectrum of general IS applications.
“The T-O-E framework has been used across various industries to explain the adoption of interorganisational systems [2,42].E-business [2,6,7,15], electronic data interchange (EDI) [42], open systems [2], enterprise systems [32] and a broad spectrum of general IS applications [2].”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [6]
The T-O-E model has been approved in European, American, and Asian contexts, as well as in both developed and developing countries.
“According to [2,7,15] and [6] the T-O-E model has been approved in European, American, and Asian contexts, as well as in both developed as well as developing countries.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [6]
Cites
Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective1
Teo, H. H., Wei, K. K., & Benbasat, I. (2003) · MIS Quarterly · doi:10.2307/30036518 · Cited by 1,639 · cited 1× · see citing works
“This finding also shows that the success of interorganizational systems depends heavily on coordination among business partners and is contingent on the extent of innovation diffusion in the whole value chain, which goes beyond individual companies (Teo et al 2003).”
BackgroundFactors Affecting the Adoption of Open Systems: An Exploratory Study1
Chau, P. Y. K., & Tam, K. Y. (1997) · MIS Quarterly · doi:10.2307/249740 · Cited by 1,067 · see citing works
The impact of information systems on organizations and markets
Gurbaxani, V., & Whang, S. (1991) · Communications of the ACM · doi:10.1145/99977.99990 · Cited by 960 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Understanding the determinants of RFID adoption in the manufacturing industry
Wang, Y.-M., Wang, Y.-S., & Yang, Y.-F. (2010) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.03.006 · Cited by 912 · see citing works
Albayati, H., Kim, S. K., & Rho, J. J. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101320 · Cited by 464 · see citing works
Determinants of e-business diffusion: A test of the technology diffusion perspective
Lin, H.-F., & Lin, S.-M. (2008) · Technovation · doi:10.1016/j.technovation.2007.10.003 · Cited by 447 · see citing works
Determinants of E-Business Use in U.S. Firms
Hsu, P.-F., Kraemer, K. L., & Dunkle, D. (2006) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415100401 · Cited by 330 · see citing works
An empirical investigation of factors affecting e-collaboration diffusion in SMEs
Chan, F. T. S., Yee-Loong Chong, A., & Zhou, L. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.04.004 · Cited by 202 · see citing works
Raymond, L., Bergeron, F., & Blili, S. (2005) · Electronic Markets · doi:10.1080/10196780500083761 · Cited by 186 · see citing works
A Review on TAM and TOE Framework Progression and How These Models Integrate
Bryan, J. D., & Zuva, T. (2021) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj060316 · Cited by 119 · see citing works
“Well, it is claimed by [9] that [6] expect a nonexclusive arrangement of components to anticipate the probability of adoption.”
BackgroundMethodInfluential
- Authors
- Xu, S., Zhu, K., & Gibbs, J.
- Affiliations
- University of California, Irvine (US)
- Venue
- Electronic Markets
- Publisher
- Informa UK Limited
- Published
- 2004-04-01
- Volume
- 14
- Issue
- 1
- Pages
- 13-24
- ISSN
- 1019-6781 (ISSN-L)
- 1422-8890
- OpenAlex
- W2034175424
- Cited by
- 253
- References
- 3
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4 · 2023: 10 · 2022: 8 · 2021: 8 · 2020: 9 · 2019: 11 · 2018: 11 · 2017: 10 · 2016: 11 · 2015: 22 · 2014: 18 · 2013: 14 · 2012: 17
- FWCI
- 26.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electronic Markets (publishedVersion)
- 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 › Engineering › Media Technology › ICT Impact and Policies
- Keywords
- e-business adoption, internet adoption, technology-organization-environment framework, government regulation, technological competence, enterprise integration, competition intensity, regulatory environment, cross-national comparison, US firms, Chinese enterprises, economic environment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
