The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
The construct of the learning organization: Dimensions, measurement, and validation
Abstract
This research describes efforts to develop and validate a multidimensional measure of the learning organization. An instrument was developed based on a critical review of both the conceptualization and practice of this construct. Supporting validity evidence for the instrument was obtained from several sources, including best model‐data fit among alternative measurement models, nomological network among dimensions of the learning organization, and organizational performance outcomes. Acceptable reliability estimates were obtained for the seven proposed dimensions. Consequently, the instrument, Dimensions of the Learning Organization Questionnaire, was recommended for use in organizational studies.
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Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
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
The fifth discipline, the art and practice of the learning organization
Senge, P. M. (1991) · Performance + Instruction · doi:10.1002/pfi.4170300510 · Cited by 20,060
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
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology · doi:10.2307/2072165 · Cited by 17,442
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,277
Testing Structural Equation Models.
Mueller, C. W., Bollen, K. A., & Long, J. S. (1994) · Contemporary Sociology · doi:10.2307/2074955 · Cited by 14,120
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
Organizational Learning: A Theory of Action Perspective
Argyris, C., & Schön, D. A. (1997) · Reis · doi:10.2307/40183951 · Cited by 11,113 · cited 1×
“Learning organization theorists argue that there has been considerable conceptual confusion about the nature of learning at the organizational level ( Argyris & Schon, 1978, 1996; Brown & Duguid, 1991; Fiol & Lyles, 1985; Gephart, Marsick, Van Buren, & Spiro, 1996; Hedberg, 1981; Huber, 1991; Isaacs & Senge, 1992; Mar…”
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Cited by
Systematic evaluation of implementation fidelity of complex interventions in health and social care
Hasson, H. (2010) · Implementation Science · doi:10.1186/1748-5908-5-67 · Cited by 417
Linking knowledge management, organizational learning and memory
Antunes, H. D. J. G., & Pinheiro, P. G. (2020) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2019.04.002 · Cited by 342
Eldor, L., & Harpaz, I. (2016) · Journal of Organizational Behavior · doi:10.1002/job.2037 · Cited by 289
Joo, B. (. (2010) · Human Resource Development Quarterly · doi:10.1002/hrdq.20031 · Cited by 278
Expanding theory of tourists’ destination loyalty: The role of sensory impressions
Lv, X., Li, C. (., & McCabe, S. (2020) · Tourism Management · doi:10.1016/j.tourman.2019.104026 · Cited by 264
Metadata
- Authors
- Yang, B., Watkins, K. E., & Marsick, V. J.
- Venue
- Human Resource Development Quarterly
- Publisher
- Wiley
- Published
- 2004-02-26
- Volume
- 15
- Issue
- 1
- Pages
- 31-55
- ISSN
- 1044-8004 (ISSN-L)
- 1532-1096
- OpenAlex
- W2009541095
- Cited by
- 767
- References
- 44
- FWCI
- 21.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
