A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework
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?
T-O-E framework has robust empirical support in the IS field more than other adoption frameworks such as TAM, IDT, TRA, SM, and TPB.
“T-O-E framework is more holistic and size and industry friendly (Wen & Chen, 2010), has robust empirical support in IS field more than other adoption frameworks (e.g.TAM, IDT, TRA, SM, and TPB) (Henriksen, 2006;Hong, Thong, & Tam, 2006;Kuan & Chau, 2001;Yoon & George, 2013;Zheng, Yen, & Tarn, 2011;Zhu, Kraemer, & Xu, 2003) and meets the contemporary scholarly demand (Barrett, Grant, & Wailes, 2006”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Kuan & Chau, 2001
T-O-E framework emerges as a widespread theoretical perspective specific to the IS domain; its variables have been severally tested on the adoption of several other technologies including EDI, KM, e-business, RFID, e-commerce, enterprise systems, and e-procurement.
“T-O-E framework emerges as a widespread theoretical perspective specific to IS domain; therefore, its variables have been severally tested on the adoption of several other technologies-EDI, KM, e-business, RFID, e-commerce, enterprise systems, and e-procurement (Kuan & Chau, 2001;Wang et al., 2010;Zhu, Kraemer, Xu, & Dedrick, 2004).”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Kuan & Chau, 2001
Cites
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150 · 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
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Zhu, K., Kraemer, K., & Xu, S. (2003) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000475 · Cited by 1,043 · see citing works
Understanding the determinants of RFID adoption in the manufacturing industry
Wang, Y.-M., Wang, Y.-S., & Yang, Y.-F. (2010) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2010.03.006 · Cited by 912 · see citing works
Toward Blockchain-Based Accounting and Assurance
Dai, J., & Vasarhelyi, M. A. (2017) · Journal of Information Systems · doi:10.2308/isys-51804 · Cited by 881 · see citing works
Understanding e-business adoption across industries in European countries
Oliveira, T., & Martins, M. F. (2010) · Industrial Management & Data Systems · doi:10.1108/02635571011087428 · Cited by 641 · see citing works
Determinants of e-business diffusion: A test of the technology diffusion perspective
Lin, H.-F., & Lin, S.-M. (2008) · Technovation · doi:10.1016/j.technovation.2007.10.003 · Cited by 447 · see citing works
Molla, A., & Licker, P. S. (2005) · International Journal of Electronic Commerce · doi:10.1080/10864415.2005.11043963 · Cited by 429 · see citing works
Adopters and non-adopters of e-procurement in Singapore: An empirical study
Teo, T. S. H., Lin, S., & Lai, K.-H. (2009) · Omega · doi:10.1016/j.omega.2008.11.001 · Cited by 397 · see citing works
Determinants of E-Business Use in U.S. Firms
Hsu, P.-F., Kraemer, K. L., & Dunkle, D. (2006) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415100401 · Cited by 330 · see citing works
SMEs' e‐commerce adoption: perspectives from Denmark and Australia
Scupola, A. (2009) · Journal of Enterprise Information Management · doi:10.1108/17410390910932803 · Cited by 306 · see citing works
Explore success factors that impact artificial intelligence adoption on telecom industry in China
Chen, H., Li, L., & Chen, Y. (2021) · Journal of Management Analytics · doi:10.1080/23270012.2020.1852895 · Cited by 300 · see citing works
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
“…theoretical perspective specific to IS domain; therefore, its variables have been severally tested on the adoption of several other technologies–EDI, KM, e-business, RFID, e-commerce, enterprise systems, and e-procurement (Kuan & Chau, 2001; Wang et al., 2010; Zhu, Kraemer, Xu, & Dedrick, 2004).”
BackgroundMethodInfluentialExploring the public sector adoption of HRIS
Troshani, I., Jerram, C., & Rao Hill, S. (2011) · Industrial Management & Data Systems · doi:10.1108/02635571111118314 · Cited by 236 · see citing works
Mahroof, K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.11.008 · Cited by 223 · see citing works
Organizational intention to adopt big data in the B2B context: An integrated view
Sun, S., Hall, D. J., & Cegielski, C. G. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.09.003 · Cited by 212 · see citing works
An empirical investigation of factors affecting e-collaboration diffusion in SMEs
Chan, F. T. S., Yee-Loong Chong, A., & Zhou, L. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.04.004 · Cited by 202 · see citing works
E‐commerce usage and business performance in the Malaysian tourism sector: empirical analysis
Intan Salwani, M., Marthandan, G., Daud Norzaidi, M., & Choy Chong, S. (2009) · Information Management & Computer Security · doi:10.1108/09685220910964027 · Cited by 202 · see citing works
Raymond, L., Bergeron, F., & Blili, S. (2005) · Electronic Markets · doi:10.1080/10196780500083761 · Cited by 186 · see citing works
Factors affecting late adoption of digital innovations
Jahanmir, S. F., & Cavadas, J. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.01.058 · Cited by 177 · see citing works
Critical Factors Influencing Decision to Adopt Human Resource Information System (HRIS) in Hospitals
Alam, M. G. R., Masum, A. K. M., Beh, L.-S., & Hong, C. S. (2016) · PLOS ONE · doi:10.1371/journal.pone.0160366 · Cited by 133 · see citing works
Haneem, F., Kama, N., Taskin, N., Pauleen, D., & Abu Bakar, N. A. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.10.007 · Cited by 121 · see citing works
The 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
Li, Y.-H. (2008) · 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings · doi:10.1109/icmse.2008.4668890 · Cited by 112 · see citing works
Yang, J., Luo, B., Zhao, C., & Zhang, H. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221126034 · Cited by 81 · see citing works
Truth or dare?–how can we influence the adoption of artificial intelligence in municipalities?
Schaefer, C., Lemmer, K., Samy Kret, K., Ylinen, M., Mikalef, P., & Niehaves, B. (2021) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2021.286 · Cited by 63 · see citing works
Adoption of Internet and Web Technology for Hotel Marketing: A Study of Hotels in Thailand
Khemthong, S., & Roberts, L. M. (2006) · Journal of Business Systems, Governance and Ethics · doi:10.15209/jbsge.v1i2.74 · Cited by 53 · 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
Aboelmaged, M., & Hashem, G. (2018) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.07.009 · Cited by 50 · 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
Ahmadi, H., Nilashi, M., Shahmoradi, L., Ibrahim, O., Sadoughi, F., Alizadeh, M., & Alizadeh, A. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.05.021 · Cited by 47 · see citing works
E-Procurement Adoption in Indonesian Government: A Study of Toe Model
Ardy Susantya, S., Aswar, K., Sumardjo, M., Panjaitan, I., & Andreas, A. (2022) · Innovative Marketing · doi:10.21511/im.18(3).2022.09 · Cited by 3 · see citing works
- Authors
- Kuan, K. K. Y., & Chau, P. Y. K.
- Affiliations
- University of Michigan (US)
- University of Hong Kong (HK)
- Corresponding author
- Chau, Patrick Y.K.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2001-10
- Volume
- 38
- Issue
- 8
- Pages
- 507-521
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2039421131
- Cited by
- 1,335
- References
- 3
- Citations by year
- 2026: 22 · 2025: 48 · 2024: 48 · 2023: 64 · 2022: 71 · 2021: 70 · 2020: 83 · 2019: 71 · 2018: 82 · 2017: 61 · 2016: 74 · 2015: 104 · 2014: 82 · 2013: 64 · 2012: 72
- FWCI
- 49.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information & Management (publishedVersion)
- The HKU Scholars Hub (University of Hong Kong) (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 › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Keywords
- electronic data interchange, EDI adoption, small business, technology-organization-environment framework, perceived benefits, financial costs, technical skills, government pressure, industry pressure
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