This study aims to explore the applicability of the learning organization (LO) concept as a predictor of work performance (WP) using partial least square (PLS) as a statistical method to explain the presence or absence of relationships between those latent variables.
An empirical approach was conducted on a research sample of a local government in Indonesia. The design of this study is a cross-sectional study using a closed-ended questionnaire, and PLS is used as a statistical method.
The results show evidence of internal consistency and construct reliability and provide a sound answer that the LO concept can explain a considerable proportion of the WP. This indicates that LO could be considered as the predictor of WP.
To date, studies on the benefit of becoming an LO have been increasing since the publication of Senge’s book, The Fifth Discipline, in the 1990s. However, such research efforts are directed primarily at assessing financial and knowledge performance (Swanson and Chermack, 2013). Very few studies have focused on the benefits associated with becoming an LO with an emphasis on individual performance using the behavioral aspect.
Anggara, W., Febriansyah, H., Darmawan, R. and Cintyawati, C. (2019), "Learning organization and work performance in Bandung city government in Indonesia: a path modeling statistical approach", Development and Learning in Organizations, Vol. 33 No. 5, pp. 12-15. https://doi.org/10.1108/DLO-03-2018-0033Download as .RIS
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