管理制造业老龄化劳动力的路线图:一项意大利案例研究
Niloofar Katiraee1, Giulia Caprari1, Ajay Das2
1Universita degli Studi di Padova Dipartimento di Tecnica e Gestione dei Sistemi Industriali, Vicenza, 36100, Italy.
Open research Europe
|September 22, 2025
概括
管理制造业的老龄化劳动力需要一个结构化的方法. 这项研究使用MAIA框架制定了路线图,以应对知识转移和健康等挑战,促进老年工人的可持续就业.
科学领域:
- 职业健康 职业健康 职业健康
- 工业/组织心理学 工业/组织心理学
- 人力资源管理 人力资源管理
背景情况:
- 劳动力老龄化在制造业等体力苛刻的行业带来了重大挑战.
- 关键问题包括知识转移,员工留守和老年员工的生产力维护.
- 北意大利的制造业作为一个相关的案例研究背景.
研究的目的:
- 将"积极老龄化劳动力模型和方法" (MAIA) 框架应用于工业环境.
- 制定一个实际的路线图来管理制造业的老龄化劳动力.
- 确定关键差距,并提出有针对性的解决方案,以改善老年员工的工作条件.
主要方法:
- 在意大利北部的一家跨国制造公司采用基于案例的方法.
- 利用定性 (采访,观察) 和定量 (调查) 的数据收集.
- 综合利益相关者讨论,以告知路线图的制定,参考ISO 25550:2022.
主要成果:
- 为管理老龄化劳动力制定了全面的路线图.
- 确定了当前管理实践中的关键领域和关键缺口.
- 提出了针对性的工具和行动,以改善制造业中老年员工的工作条件.
结论:
- 像MAIA这样的结构化框架对于在体力苛刻的工作中管理老龄化工人至关重要.
- 开发的路线图为劳动力规划和管理提供了可操作的见解.
- 结果支持优化组织文化,健康,知识转移和退休计划,以实现可持续的老年工人就业.
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