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Lifelong learning and artificial intelligence competency as drivers of career resilience in older workers

An integrative study using PLS-SEM and necessary condition analysis

Bibliographic Data

ID21537516
AuthorsMei Peng Low (0000-0002-3141-3081, Universiti Tunku Abdul Rahman, corresponding author), Tai Ming Wut (0000-0002-9383-1094, Hong Kong Polytechnic University), Wei Fong Pok (0000-0002-9312-9270, Universiti Tunku Abdul Rahman)
Year2025
Pages1-20
Publication date2025-07-06
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueEducational Gerontology (JOURNAL)
Journal identifiersISSN: 0360-1277 • E-ISSN: 1521-0472
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03601277.2025.2528673
OpenAlexW4412056979
LanguageEN
References cited65

Malaysia is undergoing a rapid demographic transition and is projected to become an aging nation by 2057. This shift poses significant social and economic challenges, especially in the labor market, where a declining working-age population is particularly concerning. Amid rapid technological advancements, this study explores the roles of artificial intelligence (AI) competency and lifelong learning in enhancing older workers’ career resilience. Employing social cognitive theory and social learning theory, the study tested a conceptual framework using partial least squares structural equation modeling (PLS-SEM) and Necessary Condition Analysis (NCA) to identify necessary factors for employability and job security. The findings indicate that lifelong learning significantly enhances career resilience, while AI competency yields mixed results. The results suggest that older workers should continuously acquire relevant skills and knowledge to enhance career resilience later in their careers. Employers are advised to promote lifelong learning and address ageism to counteract the concerns of a shrinking working population

Developmental psychology · Emotional intelligence · Lifelong learning · Medical education · Pedagogy · Psychological resilience · Applied Psychology · Clinical Psychology · Employment and Welfare Studies · Medicine · Psychology · Resilience and Mental Health · Retirement, Disability, and Employment · Social Psychology · Gerontology

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