Geschäftsmodelle

The decentralized data ecosystem Gaia-X, which is currently under development, supports the future viability of the digital data economy in Europe. But how can relevant use cases be realized in Gaia-X from a service-oriented perspective? To answer this question, this article presents a methodology that describes a structured and interdisciplinary approach to service development in the ongoing Gaia-X 4 ROMS consortium research project [1]. In this project, federated services are realized in five processing steps on the basis of use cases. IT experts, software developers and industry users can leverage the model to efficiently coordinate the joint realization of use cases with Gaia-X and the goal of sovereign data exchange.

Open-source hardware (OSH) is on its way from a grassroots movement to a major social and industrial development. Open product development processes and products promise innovations for new markets and new customers. OSH could be the answer to the question of how the shift to local and sustainable production could look like. To make this possible, essential core questions need to be answered. How can a business model based on openness and exchange make money at all? (Only in German)

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.

Blockchain technology attracted a great deal of attention with its first application Bitcoin. In addition to the multitude of practical solutions, initiatives and research efforts of the industry, the number of scientific publications on the topic of blockchain is comparatively low. Right now, there is a lack of universal standards and uniform terminology. One way of documenting blockchain technology could be a morphological box. In addition to the advantage of clarity, this type of information structuring offers further advantages that can be considered helpful in creating a comprehensive overview. In order to create such a morphological box, various features of the blockchain technology must be identified and described in detail. One of these features is the “business model”, for which the 4 different characteristics “infrastructure provider”, “platform provider”, “system integrator” and “application provider” have been identified.

The digital transformation continues to progress. In the course of this digital change, new technologies are constantly being developed and topics such as artificial intelligence, big data analytics or blockchain are moving into the focus of companies and the general public. Blockchain technology attracted a great deal of attention with its first application Bitcoin.

Blockchain technology - a distributed ledger in which transactions of all kinds of values can be carried out securely, transparently and consensually without trust in a central authority - is a socio-technical innovation that has the potential to enable new business models and make existing business models obsolete. While most applications today exist in the financial sector (e.g., payment processing), the technology is suitable for various industrial applications, especially in the area of Internet of Things (IoT) applications. This article uses three propositions and various concrete examples to shed light on the possible applications of blockchain technology for new IoT business models.

Digitization creates fascinating opportunities. However, we have to recognize that Germany needs more than the technology leadership in order to succeed in the long term. We must be able to transform the technology leadership we take in the field of industry 4.0 for example into added value, entrepreneurial success and employment. Essential levers to success are data based services, business models, positioning in platform economy, foundation culture, shaping the digitized working environment and, last but not least, Systems Engineering. In any case, our success will be a matter of strategic operation and systemic thinking and acting.

Delivering industrial Product-Service Systems (IPSS) is a trend for companies in the german mechanical and plant engineering industry. IPSS are holistic problem solutions including an integrative combination of a physical core product and related services. Furthermore, IPSS are offered in customised business models. Due to the fourth industrial revolution, IPSS are transformed towards smart IPSS. Here, digital business models are necessary to take advantage of all opportunities belonging to smart IPSS. Therefore, a systematic analysis of digital business models for smart IPSS is presented.

Technological changes related to Industry 4.0 generate new potentials. Hence, it is important to understand which dimensions of a business model to adapt. Industry 4.0 technologies enable a company to offer new products, new services or to achieve efficiency improvements. The Industry 4.0 business model decomposition allows visualising which goal the initiative has, what the value offering is and which processes, technologies and capabilities are needed. As connectivity is a key dimension of Industry 4.0, technologies and systems are needed to connect internal and external processes.