| Abstract (ENG): |
Digital transformation leads to new qualification requirements and professional upheavals among
employees. As a supplement to the increasing work demands, resource-based methods have been
discussed in vocational education and training research in recent years. Considering the current
research literature, resource orientation also offers the opportunity to promote digital competence
training. The paper references the Job Demand Resource Model (JD-R) by Demerouti and colleagues.
The model describes two work factors that affect working individuals negatively (job demands) or
positively (resources). This model is suitable and has proven itself in previous studies in the digital work
context. The leading research question is to what extent there are measuring instruments for the resource
constructs and how these have already been adapted and validated in the digital work context. The
resource diagnostic instruments were first identified with an exploratory literature analysis in test
databases and systematically researched and evaluated in literature databases for business science and
education sciences. In the selected peer-reviewed publications, we examined the extent to which the
resource diagnostics instrument is applied in the digital work context. We then identified personal and
environmental resource categories by analyzing the content of their full texts. The paper summarizes the
current state of research, discusses resource constructs, and summarizes them into a resource repertoire
to promote resource-oriented digital competence training and strengthen informal learning processes
and lifelong learning in organizations. |
| Citation: |
Reiner, Stephanie and Annen, Silvia and Murry, Gabriele and Gerholz, Karl-Heinz
(2023)
Resource Diagnostics in the Digital Work Context:
A Systematic Literature Analysis.
In: (Proceedings of the) MakeLearn, TIIM & PIConf 2023 "Economic, Social and Environmental Sustainability; The Role of Technology and Political Dialogue", May, 18-20, 2023, Valetta, Malta, p. 485.
ISBN 9789616914307
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