Harnessing AI for Comprehensive Retirement Planning and Preparation (AIRP2): A Multidimensional Approach to Financial, Career, Health, Social, Leisure and Spiritual Well-being

This paper investigates the transformative potential of Artificial Intelligence (AI) in revolutionising retirement planning and preparation in Malaysia by integrating six critical dimensions: health, career, finance, interpersonal relationships, leisure, and spiritual well-being. The paper aims to examine the current state of retirement planning in Malaysia, identify prevailing gaps and challenges, and propose an AI-driven model for holistic retirement planning. This integrated approach addresses the multifaceted needs of employees, fostering a secure and fulfilling post-retirement life. Retirement planning is a pressing global concern, and Malaysia is no exception. As the population ages, there is a growing urgency for comprehensive retirement strategies that extend beyond conventional financial preparedness. Traditional methods often overlook essential aspects such as health management, career transitions, interpersonal relationships, leisure engagement, and spiritual well-being, leaving retirees vulnerable to multidimensional challenges. This conceptual paper has two primary objectives: (1) to analyse the multidimensional nature of retirement planning and its integration with AI; and (2) to develop a robust framework that incorporates AI technologies into retirement planning to enhance its overall effectiveness. The paper draws on theoretical insights and primary data, synthesising perspectives from peer-reviewed literature and foundational studies in the field. By bridging theoretical constructs with innovative AI applications, this research contributes to a deeper understanding of retirement planning, offering practical implications for addressing the evolving needs of Malaysia’s ageing workforce.

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Publication Details

Journal
International Journal of Advanced Research in Computational Thinking and Data Science
Published
2024-12-31
DOI
https://doi.org/10.37934/ctds.4.1.4052a
Citations
1
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
1.71
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article

Harnessing AI for Comprehensive Retirement Planning and Preparation (AIRP2): A Multidimensional Approach to Financial, Career, Health, Social, Leisure and Spiritual Well-being

Dayang Kartini Abang Ibrahim, Mohamad Hardyman Barawi, Ahmad Shauffi Mohamad Sharkawi
1 citations
International Journal of Advanced Research in Computational Thinking and Data Science
Insurance, Mortality, Demography, Risk Management
1.71
article

Harnessing AI for Comprehensive Retirement Planning and Preparation (AIRP2): A Multidimensional Approach to Financial, Career, Health, Social, Leisure and Spiritual Well-being

Dayang Kartini Abang Ibrahim, Mohamad Hardyman Barawi, Ahmad Shauffi Mohamad Sharkawi
article en
1 citations

Abstract

This paper investigates the transformative potential of Artificial Intelligence (AI) in revolutionising retirement planning and preparation in Malaysia by integrating six critical dimensions: health, career, finance, interpersonal relationships, leisure, and spiritual well-being. The paper aims to examine the current state of retirement planning in Malaysia, identify prevailing gaps and challenges, and propose an AI-driven model for holistic retirement planning. This integrated approach addresses the multifaceted needs of employees, fostering a secure and fulfilling post-retirement life. Retirement planning is a pressing global concern, and Malaysia is no exception. As the population ages, there is a growing urgency for comprehensive retirement strategies that extend beyond conventional financial preparedness. Traditional methods often overlook essential aspects such as health management, career transitions, interpersonal relationships, leisure engagement, and spiritual well-being, leaving retirees vulnerable to multidimensional challenges. This conceptual paper has two primary objectives: (1) to analyse the multidimensional nature of retirement planning and its integration with AI; and (2) to develop a robust framework that incorporates AI technologies into retirement planning to enhance its overall effectiveness. The paper draws on theoretical insights and primary data, synthesising perspectives from peer-reviewed literature and foundational studies in the field. By bridging theoretical constructs with innovative AI applications, this research contributes to a deeper understanding of retirement planning, offering practical implications for addressing the evolving needs of Malaysia’s ageing workforce.

International Journal of Advanced Research in Computational Thinking and Data ScienceVol. 4(1)
Samara National Research University (RU), Human Resource Development Center (BG), Global Green Synergy (Malaysia) (MY)
Openalex Percentile: Top 10%
Insurance, Mortality, Demography, Risk Management
1.71
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