Article 2022

Informal learning behaviors, interaction and workplace autonomy and readiness to learn

Journal of Workplace Learning
Journal · Vol. 34 · Issue 4 · pp. 388-402
Abstract

Purpose: This paper aims to find a measurement model with better evidence of validity, with data extracted from the Program for the International Assessment of Adult Competencies (PIAAC). To test a parsimonious model in which dispositional and workplace context characteristics are predictors of informal learning behaviors (ILBs). Design/methodology/approach: The authors performed exploratory and confirmatory factor analyses to improve the fit of the PIAAC data measurement model. Multiple linear regression was used to examine the prediction of ILBs by one dispositional variable (Readiness to Learn) and two workplace context variables (Autonomy and Interaction in the Workplace). Findings: A measurement model emerged with 18 items divided into four factors. The three antecedent variables predicted ILBs. Interaction in the workplace resulted in higher scores, and workplace autonomy resulted in lower scores. Research limitations/implications: The small number of items for ILBs prevented a more detailed exploration of predictors of different types of these behaviors. ILBs can be stimulated by policies that promote readiness to learn and that encourage the design of environments that require worker interactions and autonomy. Originality/value: Few studies on ILBs in the workplace have investigated the prediction of dispositional and contextual antecedents based on a theoretical model. The findings herein were obtained using a diverse sample of countries, occupations and generations, allowing better generalization. The importance of interpersonal relationships in the workplace for predicting ILBs was emphasized. © 2021, Emerald Publishing Limited.

Keywords

Author Keywords

Interaction Informal learning behaviors Interaction and workplace autonomy Readiness to learn Technical-organizational and sociocultural characteristics Workplace autonomy

Index Keywords

Author Affiliations
Postgraduate Program in Social, Universidade de Brasília, Brasília, DF, Brazil
Funding & Acknowledgements
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES
Funding text 1: The first author receives a doctoral scolarship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Ministry of Education of Brazil, Brasília, DF (Process No. PROEX 88887.484301/2020-00).; Funding text 2: The second author receives a research productivity fellowship (PQ-Sr – 314055/2020-7) from Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq.
Ministry of Education, MOE
Grant: 88887.484301/2020-00, PQ-Sr – 314055/2020-7
Funding text 1: The first author receives a doctoral scolarship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Ministry of Education of Brazil, Brasília, DF (Process No. PROEX 88887.484301/2020-00).; Funding text 2: The second author receives a research productivity fellowship (PQ-Sr – 314055/2020-7) from Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq.
Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq
Funding text 1: The first author receives a doctoral scolarship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Ministry of Education of Brazil, Brasília, DF (Process No. PROEX 88887.484301/2020-00).; Funding text 2: The second author receives a research productivity fellowship (PQ-Sr – 314055/2020-7) from Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq.
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