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Information technology adoption in SMEs: an integrated framework
Abstract
Purpose: The aim of this research is to gain a clearer understanding of information technology (IT) adoption in small and medium‐sized enterprises (SMEs) by analysing and contrasting the current literature. Whilst describing how and why SMEs acquire IT, the paper also seeks to highlight the enablers as well as the inhibitors that influence the adoption process. Design/methodology/approach: The method was a review of literature including empirical research and case studies related to IT adoption from various databases such as Business Premier, Science Direct, JStor and Emerald Insight. Supporting material was accessed from reference books regarding similar concepts and theories. Findings: The literature suggests that SMEs adopt IT for many reasons. In general, the majority of the changes result from pressures from both internal and external sources. In addition to these drivers, there are factors that influence the process either directly or indirectly. Based on these different perspectives the paper proposes a conceptual framework that is composed of those perspectives that are relevant to the adoption of IT in SMEs. Research limitations/implications: This conceptual framework for the IT adoption process is based on the existing literature. It is open to and requires empirical testing to determine its relevance and validity in a practical setting. Originality/value: The paper demonstrates the process of IT adoption in SMEs by combining perspectives from the literature. The framework will help adopters gain a practical overview of the IT adoption process in SMEs.
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Customized software applications help SMEs to streamline transactions, maintain accurate records, and reduce human error.
“Studies have shown that customized software applications help SMEs to streamline transactions, maintain accurate records, and reduce human error (T. H. Nguyen et al., 2015)(T. U. H. Nguyen, 2009).”
From Development of a Web-Based Information System for Smartphone Repair Services at OSDIG Store Using the Waterfall Method (2025) · cites this paper as T. U. H. Nguyen, 2009
Information systems are vital for improving service quality, operational accuracy, and customer trust in service-based industries such as electronics and smartphone repair.
“In service-based industries, such as electronics and smartphone repair, information systems are vital for improving service quality, operational accuracy, and customer trust (T. U. H. Nguyen, 2009).”
From Development of a Web-Based Information System for Smartphone Repair Services at OSDIG Store Using the Waterfall Method (2025) · cites this paper as T. U. H. Nguyen, 2009
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Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Networking and innovation: a systematic review of the evidence
Pittaway, L., Robertson, M., Munir, K., Denyer, D., & Neely, A. (2004) · International Journal of Management Reviews · doi:10.1111/j.1460-8545.2004.00101.x · Cited by 1,747
An Integrated Model of Information Systems Adoption in Small Businesses
Thong, J. Y. L. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518227 · Cited by 1,727
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Self-citationForecasting Social CRM Adoption in SMEs: A Combined SEM-Neural Network Method
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Umar, R., & Ahnafi, M. G. (2025) · Innovation, Technology, and Entrepreneurship Journal · doi:10.31603/itej.13957 · Cited by 1
Metadata
- Authors
- Nguyen, T. H.
- Affiliations
- Teesside University (GB)
- Corresponding author
- Nguyen, ThuyUyen H.
- Venue
- International Journal of Entrepreneurial Behavior & Research
- Publisher
- Emerald
- Published
- 2009-03-06
- Volume
- 15
- Issue
- 2
- Pages
- 162-186
- ISSN
- 1355-2554 (ISSN-L)
- OpenAlex
- W2164384973
- Cited by
- 238
- References
- 3
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 7 · 2023: 18 · 2022: 20 · 2021: 17 · 2020: 22 · 2019: 12 · 2018: 17 · 2017: 17 · 2016: 12 · 2015: 20 · 2014: 24 · 2013: 18 · 2012: 7
- FWCI
- 13.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Entrepreneurial Behaviour & Research (publishedVersion)
- Northumbria Research Link (Northumbria University) (acceptedVersion)
- 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 › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- information technology adoption, small and medium-sized enterprises, adoption factors, conceptual framework, information technology acquisition, organizational change
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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