In:
HMD Praxis der Wirtschaftsinformatik, Springer Fachmedien Wiesbaden GmbH, Vol. 58, No. 6 ( 2021-12), p. 1521-1534
Abstract:
Cross-company data exchange in the world of industry 4.0 holds immense potential for companies. Companies can gain valuable knowledge about the use of their products and offer their customers innovative services. Conversely, customers can use their products in a more targeted way if they know production and material details, for example. But no company wants to share business-critical knowledge with a partner in the value creation network. The risk of providing insights into, for example, research and development results or enabling the customer to calculate costs based on the exact process flow is too great. The question arises as to which data can be exchanged without hesitation and which data implicitly contain valuable knowledge. For this reason, this article presents a process model for identifying knowledge worth protecting against the background of cross-company data networking. With the help of the model, data and knowledge can be analyzed and classified on the basis of protection requirements and contained potentials. The aim is to enable cross-company data exchange while preventing the violation of know-how. Subsequently, the testing of the model is presented in the context of an application example and an outlook is given.
Type of Medium:
Online Resource
ISSN:
1436-3011
,
2198-2775
DOI:
10.1365/s40702-020-00704-w
Language:
German
Publisher:
Springer Fachmedien Wiesbaden GmbH
Publication Date:
2021
detail.hit.zdb_id:
1015731-1
detail.hit.zdb_id:
2109643-0
SSG:
3,2