影响对老龄劳动力态度的因素:来自泰国南部大学生的证据

Medina Adulyarat, Najmee Adulyarat, Long Kim, Laura Poskin, Suchita Manajit
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摘要

随着老龄化人口的增长,研究对加入老龄劳动力队伍的态度和意向就显得更加重要。本研究探讨了影响泰国南部大学生对加入老龄劳动力队伍的态度和意向的因素。我们对该地区三所大学的 412 名本科生进行了横断面调查。调查根据计划行为理论,使用 5 点李克特量表测量了态度、主观规范、感知行为控制和成为老年劳动力的意向。采用路径分析技术对数据进行了分析。研究结果表明,大学生的态度、主观规范、感知行为控制和成为老年工作者的意愿之间存在明显的关联。对老年工作者的态度对主观规范有积极影响(β = 0.71,p = 0.001),感知行为控制对主观规范(β = 0.11,p = 0.05)和老年工作者意向(β = 0.23,p <0.05)也有显著影响。而主观规范则对成为老年工作者的意愿产生积极影响(β = 0.42,p < 0.001)。总之,本研究强调了态度、主观规范和感知行为控制作为影响大学生加入老龄化劳动力的意向的因素的重要性。 鸣谢本研究得到了瓦莱拉克大学卓越研究与创新研究所的支持,拨款号为 WU66251。
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Factors influencing attitudes toward aging workforce: Evidence from college students in Southern Thailand
As the aging population grows, examining attitudes and intentions toward joining the aging workforce is of greater importance. This study examines factors influencing Southern Thai college students’ attitudes and intentions to join the aging workforce. A cross-sectional survey was conducted among 412 undergraduate students from three universities in the region. The survey measured attitudes, subjective norms, perceived behavioral control, and intention to be older workers based on the theory of planned behavior using a 5-point Likert scale. The data were analyzed using the path analysis technique. The findings indicated significant associations between attitudes, subjective norms, perceived behavioral control, and intentions to be older workers among college students. Attitudes toward older workers positively influenced subjective norms (β = 0.71, p = 0.001), and perceived behavioral control also had a significant impact on subjective norms (β = 0.11, p = 0.05) and on the intention to be older workers (β = 0.23, p < 0.05). Subjective norms, in turn, positively influenced intentions to be older workers (β = 0.42, p < 0.001). In conclusion, this study highlights the importance of attitudes, subjective norms, and perceived behavioral control as factors in influencing college students’ intention to join the aging workforce. AcknowledgmentThis study is supported by the Research and Innovation Institute of Excellence, Walailak University, under Grant No. WU66251.
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