Automation and augmentation: A process study of how robotization shapes tasks of operational employees

Robotization shapes organizational structures and jobs, which may bring benefits or negative consequences. Yet, to date, it remains unknown how robotization projects in firms shape automation and augmentation and how exactly employees’ tasks evolve while being automated and augmented. Our findings from a process study of five robotization projects within one organization in the chemical industry show that the automation of tasks is inevitably intertwined with their augmentation. We observe a transformation of the operational tasks, temporarily increasing workload and affecting employees’ motivation levels while influencing potential automation bias. We present these findings as a theorized model of how robotization projects drive the automation and augmentation of operational tasks, and how this evolves. We advance the literature on digital transformation and robotization in three ways. First, we show how automation and augmentation affect operational employees’ tasks. We theorize that employees’ workloads and skill requirements first expand to implement robotization and then contract once workable configurations have been found. Second, we explain a temporal and causal link between automation and augmentation, where the beneficial outcomes are dependent on their temporal entwinement. Third, we posit that active inclusion of operational employees in defining task automation and augmentation safeguards their feeling of accountability in later stages.

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Publication Details

Journal
European Management Journal
Published
2024-12-03
DOI
https://doi.org/10.1016/j.emj.2024.11.010
Citations
6
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.09
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article

Automation and augmentation: A process study of how robotization shapes tasks of operational employees

Katharina Cepa, Lidia Isaza
6 citations
European Management Journal
Digital Transformation in Industry
2.09
article

Automation and augmentation: A process study of how robotization shapes tasks of operational employees

Katharina Cepa, Lidia Isaza
article en
6 citations

Abstract

Robotization shapes organizational structures and jobs, which may bring benefits or negative consequences. Yet, to date, it remains unknown how robotization projects in firms shape automation and augmentation and how exactly employees’ tasks evolve while being automated and augmented. Our findings from a process study of five robotization projects within one organization in the chemical industry show that the automation of tasks is inevitably intertwined with their augmentation. We observe a transformation of the operational tasks, temporarily increasing workload and affecting employees’ motivation levels while influencing potential automation bias. We present these findings as a theorized model of how robotization projects drive the automation and augmentation of operational tasks, and how this evolves. We advance the literature on digital transformation and robotization in three ways. First, we show how automation and augmentation affect operational employees’ tasks. We theorize that employees’ workloads and skill requirements first expand to implement robotization and then contract once workable configurations have been found. Second, we explain a temporal and causal link between automation and augmentation, where the beneficial outcomes are dependent on their temporal entwinement. Third, we posit that active inclusion of operational employees in defining task automation and augmentation safeguards their feeling of accountability in later stages.

European Management JournalVol. 44(1)
Vrije Universiteit Amsterdam (NL)
Decent work and economic growth
Openalex Percentile: Top 11%
Digital Transformation in Industry
2.09
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