Web 2.0

Companies have to cope with an individualization of products. Consequently, they are confronted with an increasing cost pressure and thus, they require optimal manufacturing processes. A possible approach is to share manufacturing resources with other companies to maximize the utilization of these resources. This paper describes possible perspectives of resource sharing for companies by using an analogy between the Web 2.0-based Share Economy and resource sharing of tomorrow’s production based on Industry 4.0.

Within structured wikis we can combine the web 2.0-advantages - flexibility, collective intelligence, self-organization and participation - with process oriented knowledge work. These wikis are able to use process structures to support complex processes. Thus, a structured wiki supports knowledge work in know-ledge intensive processes. Users are not bound to strict processes as the wiki technology enables creativity by definition. This paper shows the differences between traditional and structured wikis by example.

The concept enterprise 2.0 stands for the enabling of new forms of know-ledge management by utilizing internet technology. While web 2.0 focuses on tools for communication, relationship management and learning, i.e. weblogs, wikis, and social networking platforms, enterprise 2.0 also covers the strategy, structure, and culture of knowledge management, and thus encompasses the entire enterprise. The authors argue that the vision of a blended enterprise is superior to existing non-hybrid enterprise 2.0-visions in terms of both feasibility and performance.

The rise of public discussions in the digital sphere is a steadily increasing phenomenon. Weblog-writers are the key drivers of this development. Companies begin to utilize the investigative power of these multiplyers: market and consumer insights are drawn out of these networks. The digital arena is becoming a trend laboratory and opinion market place as well as a field for competitive strategies. The innovative Social Network Analysis-method is able to identify relevant patterns and weak signals in these areas. Being formerly only applied within organizations, Social Network Analysis can therefore generate very valuable information out of the World Wide Web.