Predicting SMEs' adoption of enterprise systems
Open accessAbstract
Purpose The purpose of this paper is to develop a model that can be used to predict which small to medium‐sized enterprises (SMEs) are more likely to become adopters of enterprise systems (ERP, CRM, SCM and e‐procurement). Design/methodology/approach Direct interviews were used to collect data from a random sample of SMEs located in the Northwest of England. Using logistic regression, 102 responses were analysed. Findings The results reveal that the factors influencing SMEs' adoption of enterprise systems are different from the factors influencing SMEs' adoption of other previously studied information systems (IS) innovations. SMEs were found to be more influenced by technological and organisational factors than environmental factors. Moreover, the results indicate that firms with a greater perceived relative advantage, a greater ability to experiment with these systems before adoption, greater top management support, greater organisational readiness and a larger size are predicted to become adopters of enterprise systems. Research limitations/implications Although this study focused on the factors that influence SMEs' adoption of a set of enterprise systems (i.e. ERP, CRM, SCM and e‐procurement), it fails to differentiate between factors that influence each of these systems. Practical implications The model can be used to assist software vendors not only to develop marketing strategies that can target potential adopters, but also to develop strategies to increase the adoption of ES among SMEs. Originality/value The paper contributes to the continuing research in IS innovations adoption/diffusion in the small business context.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
In 2003, in [31], the author developed an ecommerce model based on TAM with new variables trust and perceived risk.
“In 2003, in [31], the author developed an ecommerce model based on TAM with new variables trust and perceived risk.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [31]
Adoption aptitude is impacted by explicit and spontaneous intra-hierarchical components for correspondence and supervision; along with resources and creativity of the organisation.
“Adoption aptitude is impacted by explicit and spontaneous intra-hierarchical components for correspondence and supervision; along with resources and creativity of the organisation [32].”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [32]
The T-O-E framework limitation is a glossary of variables that is not well integrated or well developed and needs more research study on organisational adoption.
“As per [32] the T-O-E framework limitation as glossary of variables that is not well integrated or well developed and needs more research study on organisational adoption.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [32]
The technology context consists of variables that have an impact on an individual, an organisation, and an industry's adoption of innovations and comprises five innovation attributes.
“In [2] and [16], the author defines that the technology context consisting of variables that has an impact on an individual, an organisation, and an industry's adoption of innovations and comprises of five innovation attributes as per [32] and [16] and also other attributes.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [32]
Empirical evidence confirms that SMEs' dream to improve market positioning and to take advantage of governments' support programs have lately precipitated SMEs to adopt ERP in some economies.
“empirical evidence confirms that their dream to improve market positioning and to take advantage of governments' support programs have lately precipitated SMEs to adopt ERP in some economies (Hitt et al., 2002;Lall & Teyarachakul, 2006;Ramdani, Kawalek, & Lorenzo, 2009).”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Ramdani, Kawalek, & Lorenzo, 2009
Firm's size is a critical adoption factor in RFID, e-commerce, and ERP though non-critical in EDI adoption.
“Firm's size is a critical adoption factor in RFID, e-commerce, and ERP though non-critical in EDI adoption (Hossain & Quaddus, 2011;Ramdani et al., 2009;Wang et al., 2010).”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Ramdani et al., 2009
Cites
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150 · see citing works
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664 · see citing works
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 · see citing works
Factors Affecting the Adoption of Open Systems: An Exploratory Study1
Chau, P. Y. K., & Tam, K. Y. (1997) · MIS Quarterly · doi:10.2307/249740 · Cited by 1,067 · see citing works
The impact of information systems on organizations and markets
Gurbaxani, V., & Whang, S. (1991) · Communications of the ACM · doi:10.1145/99977.99990 · Cited by 960 · see citing works
An Empirically Derived Model for the Adoption of Customer‐based Interorganizational Systems*
Grover, V. (1993) · Decision Sciences · doi:10.1111/j.1540-5915.1993.tb01295.x · Cited by 757 · cited 3× · see citing works
“Dependent variable SMEs’ adoption of ES Dummy variable 1 1⁄4 Decision to adopt ES 0 1⁄4 Decision to reject ES Thong and Yap (1995), Grover (1993)”
BackgroundFactors 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 · doi:10.1108/17410390510609572 · Cited by 449 · see citing works
Multiple Conceptualizations of Small Business Web Use and Benefit*
Pflughoeft, K. A., Ramamurthy, K., Soofi, E. S., Yasai‐Ardekani, M., & Zahedi, F. (. (2003) · Decision Sciences · doi:10.1111/j.1540-5414.2003.02539.x · Cited by 139 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Using T-O-E theoretical framework to study the adoption of ERP solution
Awa, H. O., Ukoha, O., & Emecheta, B. C. (2016) · Cogent Business & Management · doi:10.1080/23311975.2016.1196571 · Cited by 272 · see citing works
“Previous literature (Federici, 2009; Metaxiotis, 2009; Ongori, 2009; Ramdani et al., 2009; Scupola, 2009) confirm that SMEs are the potent drivers of the informal sector as well as important sources of flexibility, local capital formation, innovations, improved living standards, and employment…”
BackgroundInfluentialForecasting Social CRM Adoption in SMEs: A Combined SEM-Neural Network Method
Ahani, A., Rahim, N. Z. A., & Nilashi, M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.05.032 · Cited by 239 · see citing works
Organisational, Technical and Data Quality Factors in CRM Adoption—SMEs Perspective
Alshawi, S., Missi, F., & Irani, Z. (2011) · Industrial Marketing Management · doi:10.1016/j.indmarman.2010.08.006 · Cited by 204 · see citing works
A Review on TAM and TOE Framework Progression and How These Models Integrate
Bryan, J. D., & Zuva, T. (2021) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj060316 · Cited by 119 · see citing works
“In [2] and [16], the author defines that the technology context consisting of variables that has an impact on an individual, an organisation, and an industry's adoption of innovations and comprises of five innovation attributes as per [32] and [16] and also other attributes.”
BackgroundMethodInfluentialThe assimilation of RFID technology by Chinese companies: A technology diffusion perspective
Wei, J., Lowry, P. B., & Seedorf, S. (2015) · Information & Management · doi:10.1016/j.im.2015.05.001 · Cited by 112 · see citing works
What affects digitalization process in developing economies? An evidence from SMEs sector in Oman
Alraja, M. N., Hussein, M. A., & Ahmed, H. M. S. (2021) · Bulletin of Electrical Engineering and Informatics · doi:10.11591/eei.v10i1.2033 · Cited by 49 · see citing works
Sánchez-Rodríguez, C., Martínez-Lorente, A. R., & Hemsworth, D. (2020) · Benchmarking: An International Journal · doi:10.1108/bij-12-2018-0413 · Cited by 48 · see citing works
An Empirical Study of Some Critical Adoption Factors of ERP Software
Awa, H. O., Uko, J. P., & Ukoha, O. (2017) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2016.1265828 · Cited by 48 · see citing works
Hossain, M. A., Standing, C., & Chan, C. (2017) · Information Technology & People · doi:10.1108/itp-06-2016-0133 · Cited by 47 · see citing works
Hong, J., Guo, P., Deng, H., & Quan, Y. (2021) · International Journal of Production Economics · doi:10.1016/j.ijpe.2021.108147 · Cited by 41 · see citing works
Ukoha, O., Okorie Awa, H., A. Nwuche, C., & Asiegbu, I. (2011) · Interdisciplinary Journal of Information, Knowledge, and Management · doi:10.28945/1431 · Cited by 20 · see citing works
- Authors
- Ramdani, B., Kawalek, P., & Lorenzo, O.
- Affiliations
- University of Manchester (GB)
- Venue
- Journal of Enterprise Information Management
- Publisher
- Emerald
- Published
- 2009-02-13
- Volume
- 22
- Issue
- 1/2
- Pages
- 10-24
- ISSN
- 1741-0398 (ISSN-L)
- OpenAlex
- W2019732759
- Cited by
- 582
- References
- 8
- Citations by year
- 2026: 21 · 2025: 31 · 2024: 43 · 2023: 48 · 2022: 45 · 2021: 53 · 2020: 53 · 2019: 40 · 2018: 29 · 2017: 39 · 2016: 29 · 2015: 37 · 2014: 35 · 2013: 31 · 2012: 19
- FWCI
- 30.05
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.uwe.ac.uk
- Licence
- Locations
- Journal of Enterprise Information Management (publishedVersion)
- UWE Research Repository (UWE Bristol) (submittedVersion, cc-by)
- 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 › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Keywords
- small and medium-sized enterprises, ERP, customer relationship management, supply chain management, e-procurement, technology adoption, perceived relative advantage, top management support, organizational readiness, firm size
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
