An Empirical Study of Some Critical Adoption Factors of ERP Software
Abstract
This article complements and/or extends inquiries on information systems (IS) adoption; it develops an eight-factor framework within the T-O-E taxonomy and empirically tests it to explain the adoption of the enterprise resource planning (ERP) software amongst small and medium enterprises (SMEs). Survey data were collected from executives of service SMEs in Nigeria. Purposive and snow ball sampling techniques were used and analysis involved partial least square (PLS). The T-O-E factors had a statistically significant effect on ERP adoption; factors within technology and organization had positive coefficients, and those within an environment had negative coefficients. On the average, unit increase(s) in the complexity of the pressures results in less likelihood to adopt ERP or vice versa. Thus, the observed T-O-E antecedent factors critically explain ERP adoption. Managers will make informed investment decisions on how integrated systems systematically improve competitive advantage.
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The findings are consistent with prior studies in other contexts regarding ERP adoption and implementation.
“It is observed that similar findings were found with the rest of the world, particularly with ERP adoption and implementation in the study of Rajan and Baral [37], Awa, Uko and Ukoha [19], Dwivedi, Rana, Jeyaraj, Clement and Williams [43] and Alam and Uddin [2].”
From A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator (2020) · cites this paper as [19]
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“As mentioned in prior studies, the studied results validate the previous findings explored in various settings in the rest of the world in general [11,19,37], and an Asian case in particular.”
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- Authors
- Awa, H. O., Uko, J. P., & Ukoha, O.
- Affiliations
- University of Port Harcourt (NG)
- Veritas University (NG)
- University of Maryland Eastern Shore (US)
- Corresponding author
- Awa, Hart O.
- ORCID
- Awa, Hart O.
- Venue
- International Journal of Human-Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2016-12-02
- Volume
- 33
- Issue
- 8
- Pages
- 609-622
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W2557937813
- Cited by
- 48
- References
- 141
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 6 · 2023: 9 · 2022: 12 · 2021: 8 · 2020: 3 · 2019: 4 · 2018: 2
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Interaction (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- enterprise resource planning, technology-organization-environment framework, small and medium-sized enterprises, service SMEs, adoption factors, technological complexity, competitive advantage, information systems adoption
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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.
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