Algorithmic Management in Traditional Workplaces: The Case of High vs. Low Involvement Working Practices
Csaba Makó et al.
What the paper says
Abstract Algorithmic management ( am ) has become a key research focus in the sociology of work, especially concerning platform work. However, am tools are also impacting traditional workplaces. This study investigates three main questions: the impact of ai on high vs. low-skilled jobs, its effect on employee’s role, and the formation of collective voices around am , including non-traditional labour relations actors. The context is the Hungarian industrial relations system, known for low union membership and company-level bargaining. The study compares two cases: a medium-sized company in high-value-added business services and a Hungarian subsidiary of a multinational employing warehouse workers. Contrary to literature suggesting am reduces employee autonomy, the study finds its impact complex, decreasing employee’s roles some areas while increasing it in others. Notably, transparency and wage predictability improved. The study also highlights the importance of considering new actors, such as clients and external consultants, in am analysis.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.