Quantification of knowledge transfers
- Faced with the triad of time-cost-quality, the realization of knowledge-intensive tasks at economic conditions is not trivial. Since the number of knowledge-intensive processes is increasing more and more nowadays, the efficient design of knowledge transfers at business processes as well as the target-oriented improvement of them is essential, so that process outcomes satisfy high quality criteria and economic requirements. This particularly challenges knowledge management, aiming for the assignment of ideal manifestations of influence factors on knowledge transfers to a certain task. Faced with first attempts of knowledge transfer-based process improvements [1], this paper continues research about the quantitative examination of knowledge transfers and presents a ready-to-go experiment design that is able to examine quality of knowledge transfers empirically and is suitable to examine knowledge transfers on a quantitative level. Its use is proven by the example of four influence factors, which namely are stickiness, complexity,Faced with the triad of time-cost-quality, the realization of knowledge-intensive tasks at economic conditions is not trivial. Since the number of knowledge-intensive processes is increasing more and more nowadays, the efficient design of knowledge transfers at business processes as well as the target-oriented improvement of them is essential, so that process outcomes satisfy high quality criteria and economic requirements. This particularly challenges knowledge management, aiming for the assignment of ideal manifestations of influence factors on knowledge transfers to a certain task. Faced with first attempts of knowledge transfer-based process improvements [1], this paper continues research about the quantitative examination of knowledge transfers and presents a ready-to-go experiment design that is able to examine quality of knowledge transfers empirically and is suitable to examine knowledge transfers on a quantitative level. Its use is proven by the example of four influence factors, which namely are stickiness, complexity, competence and time pressure.…
| Verfasserangaben: | Marcus GrumORCiDGND, Norbert GronauORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-030-79976-2_13 |
| ISBN: | 978-3-030-79975-5 |
| ISBN: | 978-3-030-79976-2 |
| Titel des übergeordneten Werks (Englisch): | Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5–7, 2021, Proceedings |
| Untertitel (Englisch): | the design of an experiment setting for the examination of knowledge transfers |
| Verlag: | Springer International Publishing |
| Verlagsort: | Cham |
| Herausgeber*in(nen): | Boris Shishkov |
| Publikationstyp: | Teil eines Buches (Kapitel) |
| Sprache: | Englisch |
| Datum der Erstveröffentlichung: | 02.07.2021 |
| Erscheinungsjahr: | 2021 |
| Datum der Freischaltung: | 20.09.2023 |
| Freies Schlagwort / Tag: | conversion; empirical examination; experiment; knowledge management; knowledge transfer |
| Band: | 422 |
| Seitenanzahl: | 19 |
| Erste Seite: | 224 |
| Letzte Seite: | 242 |
| Organisationseinheiten: | Wirtschafts- und Sozialwissenschaftliche Fakultät / Wirtschaftswissenschaften / Fachgruppe Betriebswirtschaftslehre |
| DDC-Klassifikation: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
| Peer Review: | Referiert |
