Indispensable skills for human employees in the age of robots and AI
Abstract
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.
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The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations
Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023) · Informing Science: The International Journal of an Emerging Transdiscipline · doi:10.28945/5078 · Cited by 439 · see citing works
“The impact of AI on human skills will probably depend on the specific tasks and skills being automated (Chuang, 2022).”
BackgroundHuman in the AI Loop via xAI and Active Learning for Visual Inspection
Rožanec, J. M., Montini, E., Cutrona, V., Papamartzivanos, D., Klemenčič, T., Fortuna, B., Mladenić, D., Veliou, E., Giannetsos, T., & Emmanouilidis, C. (2024) · Artificial Intelligence in Manufacturing · doi:10.1007/978-3-031-46452-2_22 · Cited by 17 · see citing works
- Authors
- Chuang, S.
- Affiliations
- Indiana State University (US)
- Corresponding author
- Chuang, Szufang
- ORCID
- Chuang, Szufang
- Venue
- European Journal of Training and Development
- Publisher
- Emerald
- Published
- 2022-11-14
- Volume
- 48
- Issue
- 1/2
- Pages
- 179-195
- ISSN
- 2046-9012 (ISSN-L)
- OpenAlex
- W4308917458
- Cited by
- 78
- References
- 2
- Citations by year
- 2026: 22 · 2025: 32 · 2024: 20 · 2023: 4
- FWCI
- 13.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European journal of training and development (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Corporate Management and Leadership
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Social Sciences › Psychology › Applied Psychology › Human Resource Development and Performance Evaluation
- Keywords
- soft skills, Industry 4.0, socio-technical systems theory, human resource development, social skills, decision-making skills, upskilling, employee development programs, gender differences, educational attainment, relationship building, organizational effectiveness
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