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handle: 20.500.11850/401868
AbstractWe propose a central role for work design in understanding the effects of digital technologies. We give examples of how new technologies can—depending on various factors—positively and negatively affect job resources (autonomy/control, skill use, job feedback, relational aspects) and job demands (e.g., performance monitoring), with consequences for employee well‐being, safety, and performance. We identify four intervention strategies. First, work design choices need to be proactively considered during technology implementation, consistent with the sociotechnical systems principle of joint optimization. Second, human‐centred design principles should be explicitly considered in the design and procurement of new technologies. Third, organizationally oriented intervention strategies need to be supported by macro‐level policies. Fourth, there is a need to go beyond a focus on upskilling employees to help them adapt to technology change, to also focus on training employees, as well as other stakeholders, in work design and related topics. Finally, we identify directions for moving the field forward, including new research questions (e.g., job autonomy in the context of machine learning; understanding designers’ work design mindsets; investigating how job crafting applies to technology); a reorientation of methods (e.g., interdisciplinary, intervention studies); and steps for achieving practical impact.
Arts and Humanities (miscellaneous), Developmental and Educational Psychology, Applied Psychology
Arts and Humanities (miscellaneous), Developmental and Educational Psychology, Applied Psychology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 620 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
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| downloads | 16 |

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