The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
Development and application of a new measure of employee engagement: the ISA Engagement Scale
Open accessAbstract
Effective measure of employee engagement is relevant to human resource development (HRD) theory and practice. We build on Kahn's (1990 Kahn, W.A. 1990. Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33: 692–724. [Crossref], [Web of Science ®] , [Google Scholar], Psychological conditions of personal engagement and disengagement at work, Academy of Management Journal 33: 692–724) theory and develop a model of engagement that has three requirements: a work-role focus, activation and positive affect. This model was operationalized in a new measure: the Intellectual, Social, Affective Engagement Scale (ISA Engagement Scale) comprising three facets: intellectual, social and affective engagement. Data from Study 1 (278 employees from a manufacturing organization) showed that the scale and its sub-scales have internal reliability. Study 2 examined data from 683 employees in a retail organization. The internal reliability was confirmed and construct validity was demonstrated. The new scale had positive associations with three theoretically and empirically important outcomes: task performance, organizational citizenship behaviour (OCB) and turnover intentions. Implications are considered for academic enquiry into the engagement process, and for HRD practices that enhance the experience of work.
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
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,866
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Principles and Practice of Structural Equation Modeling
Tabri, N., & Elliott, C. M. (2012) · Canadian Graduate Journal of Sociology and Criminology · doi:10.15353/cgjsc-rcessc.v1i1.25 · Cited by 38,891
(1998) · Cited by 36,049
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
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037//0033-2909.88.3.588 · Cited by 19,023
Fredrickson, B. L. (2001) · American Psychologist · doi:10.1037//0003-066x.56.3.218 · Cited by 18,025
Cited by
What Do We Really Know About Employee Engagement?
Saks, A. M., & Gruman, J. A. (2014) · Human Resource Development Quarterly · doi:10.1002/hrdq.21187 · Cited by 678
Kossyva, D., Theriou, G., Aggelidis, V., & Sarigiannidis, L. (2024) · Journal of Knowledge Management · doi:10.1108/jkm-03-2022-0174 · Cited by 101
Roberts, R., Wong, A., Jenkins, S., Neher, A., Sutton, C., O’Meara, P., Frost, M., Bamberry, L., & Dwivedi, A. (2021) · Australian Journal of Rural Health · doi:10.1111/ajr.12804 · Cited by 82
Suhartanto, D., Dean, D., Nansuri, R., & Triyuni, N. N. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2017.10.039 · Cited by 79
Metadata
- Authors
- Soane, E., Truss, C., Alfes, K., Shantz, A., Rees, C., & Gatenby, M.
- Venue
- Human Resource Development International
- Publisher
- Informa UK Limited
- Published
- 2012-09-27
- Volume
- 15
- Issue
- 5
- Pages
- 529-547
- ISSN
- 1367-8868 (ISSN-L)
- 1469-8374
- OpenAlex
- W2165208285
- Cited by
- 398
- References
- 83
- FWCI
- 23.76
- 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: Development and application of a new measure of employee engagement: the ISA Engagement Scale. https://app.cochat.ai/papers/10.1080/13678868.2012.726542
- The paper
- Soane, E., Truss, C., Alfes, K., Shantz, A., Rees, C., & Gatenby, M. (2012). Development and application of a new measure of employee engagement: the ISA Engagement Scale. Human Resource Development International. https://doi.org/10.1080/13678868.2012.726542
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.