调解
就业能力
结构方程建模
代理(哲学)
适应性
心理学
情感(语言学)
知识管理
工作(物理)
感知组织支持
组织承诺
工作满意度
生产力
实证研究
业务
员工敬业度
知识共享
工作制度
知识体系
应用心理学
考试(生物学)
经验证据
公共关系
营销
灵活性(工程)
组织识别
工作行为
职业发展
作者
Abdulkadir Jeilani Mohamud,Jamila Hassan Mohamed,Mariam Dini Mohamed
标识
DOI:10.1108/jeim-08-2025-0734
摘要
Purpose This study investigates the impact of individual characteristics and organizational factors on career outcomes in the digital workplace, with a focus on the mediating roles of artificial intelligence (AI) adoption and remote working. Design/methodology/approach A quantitative research design was employed, using data collected from 378 respondents through an online survey. Structural equation modeling (SEM) using AMOS was applied to test the hypothesized relationships among individual characteristics, organizational factors, AI adoption, remote working and career-related outcomes such as employee productivity, perceived employability and career sustainability. Findings The results reveal that individual characteristics significantly influence both AI adoption and remote working. Conversely, organizational factors do not significantly affect either. AI adoption positively impacts career sustainability, employee productivity and perceived employability. Remote work has a significant positive effect on employee productivity. Mediation analysis indicates that AI adoption partially mediates the relationship between individual characteristics and employee productivity, while remote working does not mediate the relationship between organizational factors and productivity. Practical implications The findings offer insights for organizations aiming to enhance employee career outcomes through digital transformation. Emphasis should be placed on supporting AI adoption and flexible work practices, especially for individuals with strong personal adaptability and digital skills. Originality/value This study contributes to the growing body of research on digital workplace transformation by integrating AI adoption and remote working as mediators between individual/organizational factors and career outcomes. It provides empirical evidence from an emerging market context, highlighting the central role of individual agency in leveraging digital tools for career development.
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