SSCI《Career Development International》征稿: 人工智能、远程工作与生产力
2025年05月06日
截止日期:2025/09/05 23:59
征稿期刊
Career Development International
期刊级别
SSCI (JCR 2023)
IF 3.4
Q2 (MANAGEMENT 153/407)
Q1 (PSYCHOLOGY, APPLIED 28/113)
征稿主题
AI, remote work, and productivity: Implications for the future labour market and career development
细分领域
How is remote work and AI emerging as a new and disruptive actor within sustainable career ecosystems? In what ways has remote work and AI reshaped career adaptability and individual productivity trajectories?
How do career-related productivity patterns differ before, during, and after the pandemic?
Has remote work functioned as an external shock that disrupted traditional career paths, or as a strategic choice enabling new forms of sustainable careers?
What factors determine the adoption of remote work and AI in career progression? How do individual characteristics, such as age, gender, career stage, or human capital, affect the likelihood of adopting remote work or AI tools?
How do organizational factors—like company size, industry norms, or digital maturity—influence these adoption patterns?
What role does self-directed career management play in navigating technological transitions?
What are the effects of remote work and AI on productivity and employability? How do remote work and AI impact long-term career sustainability in terms of productivity and employability?
Why do some individuals or organizations experience productivity gains while others do not?
How do differing work environments and resources explain variation in career outcomes?
How do managerial practices support career development in remote and AI-integrated workplaces?
What kinds of leadership and HR practices are most effective in fostering career growth under new work arrangements?
How are employees reshaping their career paths through proactive behaviours, such as job crafting, in response to remote or AI-enhanced work environments?
How can we model and forecast career outcomes in the era of AI and remote work? What do longitudinal and predictive data reveal about changes in career mobility, wage progression, job transitions, and productivity?
How can quantitative models help forecast the long-term effects of remote work and AI adoption on career trajectories?
重要时间
Submission Deadline: 5 September 2025


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