摘要：The role of knowledge as a strategic resource is well accepted in logistics companies. Nevertheless, the question of how to best make use of it still remains unanswered. A decade ago when knowledge management mainly has been seen as a matter of introducing information technology, knowledge databases and intranet solutions into companies, it had lost a lot of its credibility also in the logistics practice. As a result, there is just a slack implementation of knowledge management in logistics companies. To overcome this, knowledge management needs to be seen as a supporting service addressing a company's personnel, organisation and IT basis at the same time. Any knowledge management activity and investment into knowledge must aim to purposefully intervene in a company's logistics processes. For this, a methodology for qualitatively assessing and quantitatively measuring significant target variables, i.e. logistics key performance indicators, is required. Furthermore, valid models are needed to evaluate knowledge management interventions according to their effectiveness and to directly control those change processes. Against this background, the paper explains Vester's sensitivity analysis by applying it to the field of logistics knowledge management. More particularly, a first feasibility study is run to clarify whether a valid sensitivity model can be derived to allow a systematic simulation-based analysis for understanding the role of knowledge management in logistics companies and for identifying the impact of investments into knowledge on a company's (logistics) performance.
