Indispensable skills for human employees in the age of robots and AI

人力资源 知识管理 独创性 社会技术系统 心理学 探索性研究 人力资源管理 业务 创造力 计算机科学 管理 社会学 社会心理学 人类学 经济
作者
Szufang Chuang
出处
期刊:European Journal of Training and Development [Emerald Publishing Limited]
卷期号:48 (1/2): 179-195 被引量:54
标识
DOI:10.1108/ejtd-06-2022-0062
摘要

Purpose Based on sociotechnical systems theory, social (human) and technological sub-systems in an organization should be taken in account when making strategic decisions and designed to fit the demands of the environment for organizational effectiveness. Yet there is very limited information in literature on whether employees are well equipped with indispensable (human) skills to prepare them combating challenges caused by advanced technology. The purpose of this study is to empirically investigate employees’ human skills that are critical for success in the Age of Robots and Artificial Intelligence from human resource development’s perspective. Design/methodology/approach A questionnaire was developed for the purpose of this exploratory study. A total of 422 US Midwest employees were surveyed on their human skills level that are critical for success in the Industry 4.0 transformation. Findings In general, the respondents could perform all the measured human skills (which can be categorized into social skillset and decision-making skillset) more than adequate but may vary by education level and gender. To strengthen one’s human skills, organizations may begin with facilitating employees on relationship building to create a support system and a strong sense of belonging, which will promote their social sensitivity and collaboration skill development, as well as decision-making skillset. Originality/value The findings of this study can be used for techno-structural interventions and employee development programs. This study highlights the importance of investigating human skills to cope with the changing nature of work and make upskilling more feasible and flexible for workers to be robot-proof.
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
传奇3应助糊涂的康采纳,获得10
刚刚
tong了个包子给tong了个包子的求助进行了留言
刚刚
NexusExplorer应助缥缈冰珍采纳,获得10
刚刚
hengqian完成签到,获得积分20
1秒前
摸耳朵完成签到,获得积分10
1秒前
1秒前
Jacqueline完成签到,获得积分10
1秒前
李爱国应助123采纳,获得10
2秒前
无问问完成签到,获得积分10
2秒前
野原发布了新的文献求助30
2秒前
sls完成签到,获得积分10
2秒前
星星完成签到,获得积分10
3秒前
拥一人入怀完成签到,获得积分10
3秒前
3秒前
天祥发布了新的文献求助10
3秒前
匆匆完成签到,获得积分10
3秒前
3秒前
3秒前
猩猩完成签到,获得积分10
4秒前
正直纸飞机完成签到,获得积分10
5秒前
5秒前
张美环发布了新的文献求助10
5秒前
小脑袋完成签到,获得积分10
5秒前
复杂从梦完成签到,获得积分10
5秒前
5秒前
动听的亦寒完成签到 ,获得积分10
6秒前
6秒前
6秒前
科研通AI6.3应助FAYE采纳,获得10
6秒前
6秒前
Xuan完成签到,获得积分10
6秒前
田様应助失眠的血茗采纳,获得10
7秒前
小脚丫发布了新的文献求助10
7秒前
koori发布了新的文献求助10
7秒前
7秒前
科研通AI2S应助Su_Zehe采纳,获得10
7秒前
倩倩0857完成签到,获得积分10
7秒前
爱吃糖果的小象完成签到,获得积分10
8秒前
科研人完成签到,获得积分10
8秒前
8秒前
高分求助中
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
First commercial application of ELCRES™ HTV150A film in Nichicon capacitors for AC-DC inverters: SABIC at PCIM Europe 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6005520
求助须知:如何正确求助?哪些是违规求助? 7529970
关于积分的说明 16114722
捐赠科研通 5151295
什么是DOI,文献DOI怎么找? 2759972
邀请新用户注册赠送积分活动 1737217
关于科研通互助平台的介绍 1632284