Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5802
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dc.contributor.authorJoe Muzururaen_US
dc.contributor.authorHamfrey Sanhokween_US
dc.contributor.authorWillie Chinyamurindien_US
dc.date.accessioned2023-09-14T14:29:02Z-
dc.date.available2023-09-14T14:29:02Z-
dc.date.issued2023-05-18-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/5802-
dc.description.abstractThis study aims to answer pertinent questions related to the quality of the organisational learning capability measurement model.Design/methodology/approach .A time-separated design informed data collection. The organisational learning capability was exposed to classical higher-order and bifactor confirmatory factor analyses. Multigroup confirmatory factor analysis facilitated measurement invariance testing. This study assessed the predictive validity of the organisational learning capability subscales using hierarchical regression analysis.FindingsThis study replicated the second-order organisational learning capability model with four subscales. Bifactor modelling confirmed the multidimensionality of the organisational learning capability. The organisational learning capability was invariant between gender groups. The organisational learning capability subscales accounted for a significant variance in innovative work behaviour.Practical implicationsThe organisational learning capability exhibits robust properties, making it a plausible option for monitoring the quality of organisational learning. Organisations must appreciate the quality of this dynamic capability and leverage it to generate new sources of value.Originality/valueThis study fills a critical gap in organisational learning-related capabilities in sub-Saharan African contexts, providing a base to influence innovation-related trajectories positively.en_US
dc.language.isoenen_US
dc.publisherEmarald Insight.en_US
dc.relation.ispartofJournal of Workplace Learningen_US
dc.subjectHigher-orderen_US
dc.subjectBifactor analysisen_US
dc.subjectInvariance testingen_US
dc.subjectPredictive validityen_US
dc.subjectZimbabween_US
dc.titleEvaluating the quality of the organisational learning capability measurement modelen_US
dc.typeresearch articleen_US
dc.identifier.doiDOI:10.1108/JWL-08-2022-0102-
dc.contributor.affiliationFaculty of Business Sciences, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationFaculty of Business Sciences, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationFaculty of Management and Commerce, University of Fort Hare, Alice, South Africa.en_US
dc.relation.issn1366-5626en_US
dc.description.volume35en_US
dc.description.issue5en_US
dc.description.startpage401en_US
dc.description.endpage416en_US
item.languageiso639-1en-
item.openairetyperesearch article-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Research Papers
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