@incollection{LangemeyerGronauSchmidWalzetal.2021, author = {Langemeyer, Ines and Gronau, Norbert and Schmid-Walz, Sabrina and Kotarski, David and Reimann, Daniela and Teichmann, Malte}, title = {From employee to expert}, series = {2021 Crossing Boundaries Muttenz/Basel and Bern : 4th International VET Conference Crossing Boundaries 8 to 9 April 2021, online, Muttenz and Bern, Switzerland}, booktitle = {2021 Crossing Boundaries Muttenz/Basel and Bern : 4th International VET Conference Crossing Boundaries 8 to 9 April 2021, online, Muttenz and Bern, Switzerland}, doi = {10.5281/zenodo.4590196}, pages = {226 -- 231}, year = {2021}, abstract = {In the context of the collaborative project Ageing-appropriate, process-oriented and interactive further training in SME (API-KMU), innovative solutions for the challenges of demographic change and digitalisation are being developed for SMEs. To this end, an approach to age-appropriate training will be designed with the help of AR technology. In times of the corona pandemic, a special research design is necessary for the initial survey of the current state in the companies, which will be systematically elaborated in this paper. The results of the previous methodological considerations illustrate the necessity of a mix of methods to generate a deeper insight into the work processes. Video-based retrospective interviews seem to be a suitable instrument to adequately capture the employees' interpretative perspectives on their work activities. In conclusion, the paper identifies specific challenges, such as creating acceptance among employees, open questions, e.g., how a transfer or generalization of the results can succeed, and hypotheses that will have to be tested in the further course of the research process.}, language = {en} } @incollection{GrumGronau2020, author = {Grum, Marcus and Gronau, Norbert}, title = {Adaptable knowledge-driven information systems improving knowledge transfers}, series = {Business modeling and software design : 10th International Symposium, BMSD 2020, Berlin, Germany, July 6-8, 2020, Proceedings}, volume = {391}, booktitle = {Business modeling and software design : 10th International Symposium, BMSD 2020, Berlin, Germany, July 6-8, 2020, Proceedings}, editor = {Shishkov, Boris}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-030-52305-3}, doi = {10.1007/978-3-030-52306-0_13}, pages = {202 -- 220}, year = {2020}, abstract = {A growing number of business processes can be characterized as knowledge-intensive. The ability to speed up the transfer of knowledge between any kind of knowledge carriers in business processes with AR techniques can lead to a huge competitive advantage, for instance in manufacturing. This includes the transfer of person-bound knowledge as well as externalized knowledge of physical and virtual objects. The contribution builds on a time-dependent knowledge transfer model and conceptualizes an adaptable, AR-based application. Having the intention to accelerate the speed of knowledge transfers between a manufacturer and an information system, empirical results of an experimentation show the validity of this approach. For the first time, it will be possible to discover how to improve the transfer among knowledge carriers of an organization with knowledge-driven information systems (KDIS). Within an experiment setting, the paper shows how to improve the quantitative effects regarding the quality and amount of time needed for an example manufacturing process realization by an adaptable KDIS.}, language = {en} }