Cited by 450ERP Systems Implementation and ImpactTechnology Adoption and User BehaviourCorporate Governance and Management

Factors affecting ERP system adoption: A comparative analysis between SMEs and large companies

Buonanno, G., Faverio, P., Pigni, F., Ravarini, A., Sciuto, D., Tagliavini, M.·2005·Journal of Enterprise Information Management

Abstract

Purpose Proposes providing an insight about enterprise resource planning (ERP) adoption, highlighting contact points and significant differences between the way small to medium‐sized enterprises (SMEs) and large companies approach such a task. Design/methodology/approach The research is based on a wide literature review, focused on the identification of a taxonomy of business and organizational factors influencing ERP adoption. The deriving research model was incorporated in a questionnaire that was preliminarily tested and finally provided to a sample of 366 companies of any size. Responses were collected through personal interviews made by a dedicated team to a top manager. Findings The analysis of the empirical data shows that business complexity, as a composed factor, is a weak predictor of ERP adoption, whereas just company size turns out to be a very good one. In other words, companies seem to be disregarding ERP systems as an answer to their business complexity. Unexpectedly, SMEs disregard financial constraints as the main cause for ERP system non‐adoption, suggesting structural and organizational reasons as major ones. This pattern is partially different from what was observed in large organizations where the first reason for not adopting an ERP system is organizational. Moreover, the decision process regarding the adoption of ERP systems within SMEs is still more affected by exogenous reasons or “opportunity of the moment” than business‐related factors, contrary to…

Integrity signals

Registry

Crossref · 10.1108/17410390510609572

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

3 of the 66 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Buonanno, G., Faverio, P., Pigni, F., Ravarini, A., Sciuto, D., & Tagliavini, M.
Affiliations
University Carlo Cattaneo (IT)
Venue
Journal of Enterprise Information Management
Publisher
Emerald
Published
2005-08-01
Volume
18
Issue
4
Pages
384-426
ISSN
1741-0398 (ISSN-L)
OpenAlex
W1509316523
Cited by
449
References
66
Citations by year
2026: 8 · 2025: 8 · 2024: 10 · 2023: 9 · 2022: 16 · 2021: 9 · 2020: 18 · 2019: 18 · 2018: 23 · 2017: 22 · 2016: 23 · 2015: 29 · 2014: 38 · 2013: 40 · 2012: 41
FWCI
26.15
Type
journal article
Language
en
Open access
closed
Locations
Journal of Enterprise Information Management (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 › Strategy and Management › Corporate Governance and Management
Keywords
enterprise resource planning, ERP adoption, small and medium-sized enterprises, large corporations, business complexity, organizational change, firm size, financial constraints, process integration, data redundancy, information systems adoption

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