The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Impact of organizational learning and knowledge management factors on e‐business adoption
Abstract
Purpose: To examine the impact of organizational learning factors (training available, technical expertise, and knowledge level) and knowledge management processes (knowledge acquisition, knowledge application, and knowledge sharing) on e‐business systems adoption level. Design/methodology/approach: The data from a survey of 202 IS executives in Taiwan were used empirically to test the proposed research model. Moreover, confirmatory factor analysis was conducted to examine the reliability and validity of the measurement model, and the structural equation modelling technique was used to evaluate the research model. Findings: The analytical results showed that organizational learning factors and knowledge management processes are closely related to the level of e‐business systems adoption. However, knowledge sharing did not significantly affect e‐business systems adoption level. Research limitations/implications: Future studies could seek an enhanced understanding of the impacts on the level of e‐business adoption of the organizational learning and knowledge management factors investigated in this paper through structured interviews and case studies of IS executives dealing with ongoing or recently completed e‐business systems projects. Practical implications: Owner/managers considering e‐business systems adoption would be best to focus on both social and technical factors, and their interaction within and beyond the organization, rather than focusing exclusively on technological considerations. Originality/value: This paper has implications for e‐business managers or policy‐makers in formulating policies and targeting appropriate organizational capabilities to ensure effective adoption of e‐business systems.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Absorptive Capacity: A New Perspective on Learning and Innovation
Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation
Nonaka, I., & Takeuchi, H. (1995) · doi:10.1093/oso/9780195092691.001.0001 · Cited by 18,010
The Knowledge-Creating Company
Nonaka, I. (1998) · The Economic Impact of Knowledge · doi:10.1016/b978-0-7506-7009-8.50016-1 · Cited by 14,619
Assessing construct validity in organizational research
Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991) · Administrative Science Quarterly · doi:10.2307/2393203 · Cited by 6,621
Knowledge management: An organizational capabilities perspective
Gold, A. H., Malhotra, A., & Segars, A. H. (2001) · Journal of Management Information Systems · doi:10.1080/07421222.2001.11045669 · Cited by 6,233
Grant, R. M. (1996) · Organization Science · doi:10.1287/orsc.7.4.375 · Cited by 5,649
Multivariate Data Analysis with Readings.
Jolliffe, I. T., Hair, J. F., Anderson, R. E., & Tatham, R. L. (1988) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983017 · Cited by 5,077
Cited by
Chen, C.-J., & Huang, J.-W. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2007.11.016 · Cited by 1,499
Understanding the determinants of cloud computing adoption
Low, C., Chen, Y., & Wu, M. (2011) · Industrial Management & Data Systems · doi:10.1108/02635571111161262 · Cited by 1,181
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
Self-citationSystem perspective of knowledge management, organizational learning, and organizational innovation
Liao, S.-H., & Wu, C.-C. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.06.109 · Cited by 375
Aboelmaged, M. G. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.05.002 · Cited by 355
Metadata
- Authors
- Lin, H., & Lee, G.
- Venue
- Management Decision
- Publisher
- Emerald
- Published
- 2005-02-01
- Volume
- 43
- Issue
- 2
- Pages
- 171-188
- ISSN
- 0025-1747 (ISSN-L)
- OpenAlex
- W2030198372
- Cited by
- 433
- References
- 49
- FWCI
- 14.65
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Impact of organizational learning and knowledge management factors on e‐business adoption. https://app.cochat.ai/papers/10.1108/00251740510581902
- The paper
- Lin, H., & Lee, G. (2005). Impact of organizational learning and knowledge management factors on e‐business adoption. Management Decision. https://doi.org/10.1108/00251740510581902
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.