platform economy

E-Commerce in the People’s Republic of China

E-Commerce in the People's Republic of China

A Market Opportunity for German Companies?
Yingying Ke, Martin Braun
Germany is the largest European trading partner of the People's Republic of China. The main exports are chemical products, machinery, motor vehicles and electrical engineering. However, German companies are finding it difficult to gain access to the Chinese B2C-market. E-commerce, which has been expanded in recent years, can enable German companies to enter the Chinese custom- er market. The article presents the situation of e-commerce in China and shows relevant support offers of the platform operators, which, however, can lead to economic dependency. For German companies, it seems advantageous to deal with the principles of success of Chinese e-commerce in order to implement them in their traditional markets.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 4 | Pages 38-42
Artificial Intelligence for the Future Economy

Artificial Intelligence for the Future Economy

How to develop competitive business models from data
Johannes Winter
Artificial intelligence (AI) and self-learning systems have immense economic potential and are a driving force for digitalisation. Artificial Intelligence is radically changing value chains, business models, and employment in industry. Data-driven services are added to traditional products in almost all industries. Integrating Artificial Intelligence in products and services as well as using data from the production process provides opportunities for new business models in an increasing competitive international environment.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 2 | Pages 43-46
Platform Economy and Data Sovereignty in Aviation

Platform Economy and Data Sovereignty in Aviation

Christoph de Beer
In many industries, neutral data platforms are currently being developed for data acquisition, data preparation and processing and subsequent provision to commercial users, public authorities (e.g. statistical offices) or security agencies. Downstream and separated from the data platform, commercial services will then be developed on the corresponding service platforms. Examples of service platforms in the aviation environment are Aviatar, Skywise or AnalytX. The interaction of the platform and service entities, possibly even across industries and with public institutions, has not yet been conclusively researched and established both on the technical level with regard to data security, data quality, data classification and data assignment to categories such as personal, security-relevant, anonymous only etc. and on the legal level with regard to data sovereignty, intellectual property and observance of aviation-specific regulations.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 4 | Pages 47-50