The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Entrepreneurship education programmes: How learning, inspiration and resources affect intentions for new venture creation in a developing economy
Open accessAbstract
Abstract This paper develops and tests a model of pathways between participation in entrepreneurship education programmes (EEPs) and entrepreneurial intention. EEPs are degree programmes designed to provide mastery and experience over several years of academic study. Structural equation modelling on survey data gathered from 348 graduating students from eight universities in Pakistan showed how three EEP components (learning, inspiration and resources) influence intention: learning and inspiration activities both increase perceived norms for being an entrepreneur and students' perceptions that they can be entrepreneurs (perceived control). Access to incubation resources had the strongest effect on intention by increasing perceived norms which in turn increases positive attitudes and perceived control. These findings provide insight into the conclusions drawn from previous studies by showing how positive student experience across different components of entrepreneurship programme have a positive impact on students’ intentions to start their own business.
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
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Self-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
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
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
Self-efficacy: the exercise of control
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1826 · Cited by 24,281
The Theory of Economic Development
Schumpeter, J., & Backhaus, U. (2006) · The European Heritage in Economics and the Social Sciences · doi:10.1007/0-306-48082-4_3 · Cited by 22,506
The Promise of Entrepreneurship as a Field of Research
Shane, S., & Venkataraman, S. (2000) · Academy of Management Review · doi:10.5465/amr.2000.2791611 · Cited by 11,223
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970
(1934) · SSRN Electronic Journal · Cited by 7,609
Metadata
- Authors
- Ahmed, T., Chandran, V. G. R., Klobas, J. E., Liñán, F., & Kokkalis, P.
- Venue
- The International Journal of Management Education
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 18
- Issue
- 1
- Pages
- 100327
- ISSN
- 1472-8117 (ISSN-L)
- OpenAlex
- W2982453185
- Cited by
- 328
- References
- 86
- FWCI
- 51.23
- Type
- journal article
- Language
- en
- Open access
- green
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: Entrepreneurship education programmes: How learning, inspiration and resources affect intentions for new venture creation in a developing economy. https://app.cochat.ai/papers/10.1016/j.ijme.2019.100327
- The paper
- Ahmed, T., Chandran, V. G. R., Klobas, J. E., Liñán, F., & Kokkalis, P. (2020). Entrepreneurship education programmes: How learning, inspiration and resources affect intentions for new venture creation in a developing economy. The International Journal of Management Education. https://doi.org/10.1016/j.ijme.2019.100327
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.
