To stay or not to stay: the mediation roles of job satisfaction and organization commitment among women in logistics industry

IF 0.8 Q4 ENGINEERING, INDUSTRIAL Acta Logistica Pub Date : 2023-03-31 DOI:10.22306/al.v10i1.346
Syaza Sukri, A. Ngah, Micheal Yiaw
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Abstract

The logistics sector is considered non-traditional for women as the industry employs mostly men as the required tasks are considered masculine. Logistics operation runs 24/7, which leads to long working hours and overlaps with women’s household responsibilities. The situation is linked to turnover intention among women in this industry. Numerous studies have acknowledged women to be as good as men. Therefore, turnover among women in this industry is a significant loss for the industry as gender imbalance remains a major issue. Furthermore, studies on this subject remain scarce. This study addressed the literature gap by adopting the Self Determination Theory (SDT) and investigated the factors influencing female employees’ intention to stay in the logistics industry. Data analysis was performed using a purposive sampling technique and Smart Partial Least Squares (Smart PLS). Resultantly, job satisfaction mediated the relationship between intrinsic motivation and intention to stay but did not mediate extrinsic motivation and intention to stay. Additionally, the relationship between work-life balance and intention to stay was mediated by organisational commitment. The findings benefit human resource management in the logistics industry to design a better policy to reduce retention prevalence and decrease the number of talented female employees leaving this industry.
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留与不留:物流业女性工作满意度与组织承诺的中介作用
物流部门被认为是女性的非传统行业,因为该行业雇佣的大多是男性,因为所需任务被认为是男性。后勤业务全天候运作,导致工作时间长,与妇女的家庭责任重叠。这种情况与该行业女性的离职意愿有关。许多研究都承认女性和男性一样优秀。因此,由于性别失衡仍然是一个主要问题,该行业的女性流动率是该行业的一个重大损失。此外,关于这一主题的研究仍然很少。本研究采用自我决定理论(SDT)解决了文献空白,并调查了影响女性员工留在物流行业意愿的因素。使用有目的的采样技术和智能偏最小二乘法(Smart PLS)进行数据分析。结果,工作满意度介导了内在动机和留下意愿之间的关系,但不介导外在动机和留下意向。此外,工作与生活的平衡和留下来的意愿之间的关系是由组织承诺介导的。研究结果有利于物流行业的人力资源管理部门制定更好的政策,以降低留用率,减少离开该行业的有才华的女性员工数量。
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来源期刊
Acta Logistica
Acta Logistica Engineering-Industrial and Manufacturing Engineering
CiteScore
1.80
自引率
28.60%
发文量
36
审稿时长
4 weeks
期刊最新文献
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