Abstract
Purpose: This study sought to examine the attitudes of blue-collar workers toward job automation. The study examined the relations between job automation, fear of job loss and self-actualization. Design/methodology/approach: Using mixed methods (qualitative and quantitative analysis) with 539 participants overall, we examined employees' attitudes toward job automation through two separate studies conducted in a large public organization that employs blue-, white- and pink-collar employees. The blue-collar workers who participated consisted of waste collectors, gardeners and parking supervisors whose work is at risk of job automation. Findings: We found that 74% of the blue-collar employees described technology as a “replacer” that simplifies and reduces human work activities, while only 3% perceived it as an “enabler” that could enrich their jobs and expand human potential. Fifty-three percent of the employees in the white-collar professions described technology as a “replacer,” and 36% perceived it as an “enabler.” Among pink-collar workers, 51% perceived technology as an “enabler,” while only 14% perceived it as a “replacer.” A positive relationship between job automation and self-actualization was evident for pink- and white-collar workers, but not for blue-collar workers. Originality/value: This study sheds light on how employees in different types of jobs perceive technological advancements at work. A classification of the perception of technology as an “enabler” vs a “replacer” is presented. The relationships between job automation and self-actualization in different job types are explored.
| Original language | English |
|---|---|
| Pages (from-to) | 1553-1569 |
| Number of pages | 17 |
| Journal | Personnel Review |
| Volume | 51 |
| Issue number | 5 |
| DOIs | |
| State | Published - 30 May 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021, Emerald Publishing Limited.
Keywords
- Blue-collar
- Computerization
- Fear of job loss
- Job automation
- Self-actualization
- Technological unemployment