An empirical study of displaceable job skills in the age of robots
| Autor: | Szufang Chuang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Organizational Behavior and Human Resource Management
Knowledge management business.industry 05 social sciences Perspective (graphical) Psychological intervention Information processing Human capital Survey methodology Empirical research 0502 economics and business Technological unemployment 050207 economics business Human resources 050203 business & management |
| Zdroj: | European Journal of Training and Development. 45:617-632 |
| ISSN: | 2046-9012 |
| DOI: | 10.1108/ejtd-10-2019-0183 |
| Popis: | Purpose The purpose of this paper is to contribute to the literature on issues regarding the influence of skill-polarized workplace on jobs, human capital and organization from human resource development’s (HRD’s) perspective, this research identified 30 displaceable skills from endangered jobs and examined 423 adult employees’ awareness and level of technological redundancy based on the displaceable kills. Design/methodology/approach By using survey methodology, the findings discovered four displaceable skill sets – repeated physical motion and performance, information process and analysis, repeated physical control of equipment, and individual affective performance – existing in 23 occupations with varying degrees. Findings Evidently, about half of the respondents were not aware of their level of technological redundancy and the current changes caused by automation and advancing technology in the job market. Proper HRD interventions are needed to assist employees to adjust the job changes and coexist with machines and robots in the technologically dynamic workplace. Specific approaches and strategies to help employees to become robot-proof were provided and discussed. Originality/value This research offers important insights for HRD professionals to understand the phenomena of the current skill-polarized workplace and to potentially address the related issues of talent shortage, endangered jobs, and technological unemployment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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