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Determinants of E-Business Use in U.S. Firms
Open accessAbstract
The factors leading to variations in e-business use among U.S. firms are identified. Building on diffusion of innovation theory, an integrated model is developed that explains the relative influence of eight known determinants. Diversity and volume of e-business use are empirically investigated using a sample of 294 firms. The analysis demonstrates that (1) considering the diversity of e-business use, pressure from trading partners is the most important driver, (2) when e-business volume is investigated, government pressure emerges as the strongest factor, (3) government promotion may not have much effect on the diversity of e-business use by private companies, but does significantly influence the volume of e-business use by firms doing business with the government, and (4) the United States has a positive regulatory environment for supporting e-business. Taken together, these findings on the multidimensionality of e-business use show that diversity and volume are not only different measures of e-business use, but also have different determinants. The integrated model provides a more comprehensive explanation of e-business use and could serve as a foundation for future research on interorganizational systems.
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Metadata
- Authors
- Hsu, P.-F., Kraemer, K. L., & Dunkle, D.
- Affiliations
- University of California, Irvine (US)
- ORCID
- Hsu, Pei-Fang
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2006-06
- Volume
- 10
- Issue
- 4
- Pages
- 9-45
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W2099552414
- Cited by
- 330
- References
- 75
- Citations by year
- 2026: 8 · 2025: 8 · 2024: 14 · 2023: 19 · 2022: 24 · 2021: 20 · 2020: 28 · 2019: 20 · 2018: 29 · 2017: 26 · 2016: 22 · 2015: 30 · 2014: 22 · 2013: 16 · 2012: 13
- FWCI
- 8.70
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Licence
- cc-by
- Locations
- International Journal of Electronic Commerce (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Business and International Management › E-commerce and Technology Innovations
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Keywords
- e-business adoption, diffusion of innovations, government pressure, government promotion, regulatory environment, interorganizational systems, US firms
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 ›
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