TY  - CHAP
A1  - Grum, Marcus
A1  - Gronau, Norbert
ED  - Shishkov, Boris
T1  - Quantification of knowledge transfers
BT  - the design of an experiment setting for the examination of knowledge transfers
T2  - Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5–7, 2021, Proceedings
N2  - 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.
KW  - knowledge management
KW  - knowledge transfer
KW  - conversion
KW  - empirical examination
KW  - experiment
Y1  - 2021
SN  - 978-3-030-79975-5
SN  - 978-3-030-79976-2
U6  - https://doi.org/10.1007/978-3-030-79976-2_13
VL  - 422
SP  - 224
EP  - 242
PB  - Springer International Publishing
CY  - Cham
ER  -