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An Integrated Model of Information Systems Adoption in Small Businesses
Open accessAbstract
:Based on theories from the technological innovation literature, this study develops an integrated model of infonnation systems (IS) adoption in small businesses. The model specifies contextual variables such as decision-maker characteristics, IS characteristics, organizational characteristics, and environmental characteristics as primary detenninants oflS adoption in small businesses. A questionnaire survey was conducted in 166 small businesses. Data analysis shows that small businesses with certain CEO characteristics (innovativeness and level of IS knowledge), innovation characteristics (relative advantage, compatibility, and complexity of IS), and organizational characteristics (business size and level of employees’ IS knowledge) are more likely to adopt IS. While CEO and innovation characteristics are important detenninants of the decision to adopt, they do not affect the extent of IS adoption. The extent of IS adoption is mainly detennined by organizational characteristics. Finally, the environmental characteristic of competition has no direct effect on small business adoption of lS.
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In the citing paper
“Furthermore, four types of organisational characteristics affect the extent of IT adoption: age, size, employee's AI knowledge and information intensity”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Thong et al., 1999
In the citing paper
“In addition, previous research has observed that the extent of IT adoption within an organisation influences its interest in introducing new technologies”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Thong, 1999
In the citing paper
“Thong (1999) found it a critical determinant in the context of small businesses.”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Thong, 1999
In the citing paper
“Inquiries (Chuang et al., 2009;Hambrick & Mason, 1984;Thong, 1999;Zhu et al., 2003) support that management's demographic differences and knowledge about an innovation influence organization's strategies.”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Thong, 1999
In the citing paper
“The role of SBO as an adoption predicator has been variously confirmed (Hitt, 1999;Thong, 1999;Tornatzky & Fleischer, 1990;Zhu et al., 2003).”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Thong, 1999
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Metadata
- Authors
- Thong, J. Y. L.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Corresponding author
- Thong, James Y.L.
- ORCID
- Thong, James Y.L.
- Venue
- Journal of Management Information Systems
- Publisher
- Informa UK Limited
- Published
- 1999-03
- Volume
- 15
- Issue
- 4
- Pages
- 187-214
- ISSN
- 0742-1222 (ISSN-L)
- 1557-928X
- OpenAlex
- W1606368101
- Cited by
- 1,727
- References
- 99
- Citations by year
- 2026: 46 · 2025: 38 · 2024: 70 · 2023: 62 · 2022: 82 · 2021: 86 · 2020: 63 · 2019: 77 · 2018: 69 · 2017: 86 · 2016: 98 · 2015: 132 · 2014: 114 · 2013: 90 · 2012: 81
- FWCI
- 47.50
- Type
- journal article
- Language
- en
- Open access
- green
- autopapers.ssrn.com
- Locations
- Journal of Management Information Systems (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- National University of Singapore (submittedVersion)
- SSRN Electronic Journal (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Keywords
- information systems adoption, small business, technology adoption, relative advantage, compatibility, complexity, firm size, competition, organizational characteristics, contextual factors
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