Fostering career crafting by developmental HR practices: the mediating role of future work self and moderating role of AI awareness

心理学 职业发展 工作(物理) 工作环境 社会心理学 发展心理学 工作满意度 机械工程 工程类
作者
Chengchuan Yang,Zhuoding Luo,Nan Xu,Chunyong Tang
出处
期刊:Career Development International [Emerald Publishing Limited]
卷期号:29 (6): 641-655 被引量:22
标识
DOI:10.1108/cdi-08-2023-0303
摘要

Purpose The deep integration of emerging technologies such as artificial intelligence (AI) has triggered a transformation in career patterns, requiring employees to promptly adapt to changes in the vocational environment through career crafting. While human resource (HR) practices play a role in guiding employees' career self-management, further exploration is needed to determine the specific HR practices that organizations should adopt to facilitate employees' career crafting. This research takes developmental HR practices as a new premise for career crafting and examines the underlying mechanisms influencing the relationship between the two. Design/methodology/approach Using a three-stage time lag method with a two-month lag in each stage, we collected sample data from 386 employees in the intelligent manufacturing industry and employed multiple regression analysis to test the research hypotheses. Findings The results of this paper show that developmental HR practices positively influence employees' career crafting behaviors through their future work self and that AI awareness moderates this relationship. Originality/value Drawing upon career construction theory, we propose that developmental HR practices cultivate employees' future work self, thereby eliciting career crafting behaviors. Moreover, the mediating role of future work self is more pronounced when employees have a high level of AI awareness, as this awareness stimulates self-cognition-driven behaviors. These findings enrich the understanding of career crafting by shedding light on the career construction process in the relationship between developmental HR practices and career crafting and by identifying the boundary conditions for the relationship.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zx完成签到,获得积分20
刚刚
1秒前
快别闹了完成签到 ,获得积分20
1秒前
Juvenilesy的应助被沉默的惜霜采纳,获得10
1秒前
90发布了新的文献求助30
1秒前
1秒前
15735802374发布了新的文献求助10
2秒前
2秒前
酷酷一笑完成签到,获得积分10
2秒前
冷笑丶发布了新的文献求助10
3秒前
4秒前
苏木发布了新的文献求助10
4秒前
Akim的应助被taotao采纳,获得10
5秒前
5秒前
王博士完成签到,获得积分10
5秒前
星辰大海的应助被鲜艳的无极采纳,获得10
5秒前
6秒前
心灵美诗霜完成签到,获得积分10
7秒前
wdz洲完成签到,获得积分10
7秒前
Lucas的应助被AM采纳,获得30
8秒前
9秒前
juzi发布了新的文献求助20
10秒前
王su完成签到,获得积分10
10秒前
Rongxing完成签到,获得积分10
11秒前
11秒前
12秒前
骆欣怡完成签到 ,获得积分10
12秒前
酷酷香之发布了新的文献求助10
13秒前
多米发布了新的文献求助10
13秒前
鸥羡发布了新的文献求助10
13秒前
会飞的yu发布了新的文献求助10
13秒前
深情安青的应助被1w采纳,获得10
14秒前
14秒前
14秒前
14秒前
guyuming发布了新的文献求助10
16秒前
上官若男的应助被FSQ采纳,获得10
16秒前
小马甲的应助被木子采纳,获得10
16秒前
17秒前
山居月发布了新的文献求助10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
A REVIEW OF THE V-22 DYNAMICS VALIDATION PROGRAM 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8129025
求助须知:如何正确求助?哪些是违规求助? 9531447
关于积分的说明 21590629
捐赠科研通 7709963
什么是DOI,文献DOI怎么找? 3417531
关于科研通互助平台的介绍 2543092
邀请新用户注册赠送积分活动 2458861