Innovation Management

Competition in increasingly Digital Ecosystems

Innovation Management

In increasingly competitive, digital ecosystems, companies face the continuous challenge to stand out by innovative services and products. To capitalize on this challenge, we develop in cooperation with our partners innovative business and revenue models for them. In doing so, we combine agile concepts with data-driven methods and pave the way to an efficient and equally flexible organization (organizational ambidexterity).

Adapt, Change, Develop

Digital Business Models

The raising significance of digital technologies (e.g. Blockchain, Artificial Intelligence, or Internet of Things) in economy and society leads to an increasing innovation pressure on companies from all industries. In particular, companies’ challenges are to design future-proof business models (digital business), to continuously adapt their corporate structures to changing business models (digital transformation) and to make the best possible use of new technologies enabling innovative business models (digital disruption). Further, companies must be able to rapidly transform their service structure and product portfolio as a quick reaction to market and technology changes is key for sustainable success. Furthermore, ever shorter innovation cycles of disruptive technologies and the associated decrease of the time-to-market increase the pressure to act on companies even more.

Competition in increasingly Digital Ecosystems

Innovation Management

On the other hand, digitization offers new opportunities for innovative business models; for instance, the constantly increasing amount of available data combined with Big Data Business Analytics methods enables new ways of developing product innovations or adapting existing products and services to individual customer needs. Fundamentally in this procedure is the consistent focus on the customer as it plays a decisive role in differentiating from competitors.

In order to establish business models, products and services in the digital age, the integrated consideration of technologies and methodical know-how represents a central challenge. Therefore we are engaged in our Blockchain Lab, for example, with the conception, development and evaluation of solutions with this disruptive technology. In addition, we bundle broad specialist and methodological knowledge in our Digital Innovation Lab in order to develop solutions with companies to complement their existing product portfolio. We support the identification and implementation of innovative business models and accompany our partners into the digital age. In particular, we build on concepts such as agile product development, open innovation, design thinking and lean start-up and combine this with our knowledge of selected key technologies. In addition to concepts lasting from one day to several weeks, we offer the following proven formats:

The Research Center Finance & Information Management (FIM) and the Project Group Business & Information Systems Engineering of Fraunhofer FIT stand for applied research projects in business & Information Systems Engineering. We see ourselves as companions of companies, society and politics in the continuous development of future-oriented innovations. We offer technological and research-based consulting concepts to support digitization in your company. We focus on communication and cooperation solutions, education and training, intelligent mobility as well as innovative interaction and visualization solutions with mixed and augmented reality.

Competition in increasingly Digital Ecosystems

Agile Data-driven Service Innovation Method (ADSIM)

In the area of innovation management, we rely on various approaches; for example, the Agile Data-driven Service Innovation Method (ADSIM), in which we combine agile methods and data-driven approaches in continuous cycles to develop customer-specific services. Agile methods like SCRUM increase the flexibility and allow a higher implementation speed, time-to-market and an increased innovation character. We combine these approaches with the CRISP-DM framework to realize the innovation potential of Big Data.

Neugierig geworden?

Unsere Tätigkeit

The Research Center FIM examines relevant real-world problems in the field of innovation management in both publicly funded research projects and applied research projects with industry partners. Selected projects are:

Publicly Funded Projects:

  • Federal Ministry of Education and Research: Future City Bad Hindelang – Digitization of an Alpine Tourism
  • Bavarian Research Foundation: Smart Devices in Manufactures – Development of a middleware to link production participants such as humans, machines and production-related IT systems via Smart Devices
  • Federal Ministry for Economic Affairs and Energy: InsurTec Hub Munich Development of an entrepreneurial platform that attracts, inspires and organizes key players and disruptors across industries and technologies to collaborate on groundbreaking, innovative insurance products and services

    Research Projects with Industry Partners:


  • Hilti AG: Design of the innovation and development process
  • BAUR Versand GmbH & Co KG: Acceptance of user-side innovations in the online textile trade
  • Deutsche Bank AG: Strategy Study on Privacy Statements for Digital Data Driven Services
  • Norddeutsche Landesbank: Development of a (Big-)Data Analytics strategy and establishment of an independent Analytics Unit for long-term advancements of (Big-)Data Analytics initiatives
Determining Optimal Strategies for Investments in an Emerging IT Innovation
presented at: 26th European Conference on Information Systems (ECIS), Portsmouth, UK, 2018
Häckel, Björn
Pfosser, Stefan
Stirnweiß, Dominic
Voit, Christian
Solution-based Innovation : A Method for Emerging Technology Use Case Development
presented at: Workshop Blockchain Research – Beyond the Horizon, European Conference on Information Systems (ECIS), Portsmouth, UK, 2018
Fridgen, Gilbert
Lockl, Jannik
Radszuwill, Sven
Rieger, Alexander
Schweizer, André
Urbach, Nils
Die Digitalisierung der Wissensarbeit : Unternehmen im Spagat zwischen Innovation und Kontrolle
in: Hofmann, Josephine: Arbeit 4.0 – Digitalisierung, IT und Arbeit, Springer, Wiesbaden, 2018
Köffer, Sebastian
Urbach, Nils
What does it Take to Implement Open Innovation? Towards an Integrated Capability Framework
in: Business Process Management Journal, 2017
Hosseini, Sabiölla
Kees, Alexandra
Manderscheid, Jonas
Röglinger, Maximilian
Rosemann, Michael
Financing Projects through Enterprise Crowdfunding : Understanding the Impact of Proposal Characteristics on Funding Success
presented at: 24th European Conference on Information Systems (ECIS), Istanbul, Turkey, 2016
Feldmann, Niels
Gimpel, Henner
FinTech-Geschäftsmodelle im Visier
in: Wirtschaftsinformatik & Management, 2016
Gimpel, Henner
Rau, Daniel
Röglinger, Maximilian
Enterprise Crowdfunding : Supporting Openness in Innovation Management beyond Obtaining Ideas
presented at: 12th Annual International Open and User Innovation Conference (OUI 2014), Cambridge, MA, USA, 2014
Feldmann, Niels
Gimpel, Henner
Muller, Michael
Geyer, Werner

University of Augsburg

University of Bayreuth

  • Digitale Geschäftsmodelle (Bachelor)
  • Bayreuther Hospitation (Master)
  • Entrepreneurial Thinking & Business Design (Master)
  • Ideation Week (Master)
  • Geschäftsmodelle und Digitale Transformation (Master)

Elite Graduate Program Finance & Information Management

  • Customer Relationship and Business Process Management

Contact person

Prof. Dr. Henner Gimpel

Professorship for Industrial Engineering and Management

Prof. Dr. Maximilian Röglinger

Professorship for Business Informatics and Value-Oriented Process Management

Dr . Christoph