VERWALTEN SIE IHRE INNOVATIONSZYKLEN!

STAKEHOLDER INTEGRATION

Meistern Sie die digitale Transformation durch die Gestaltung neuer und innovativer Geschäftsmodelle. Finden Sie heraus, wie Sie Ihre externen Stakeholder mittels Design Thinking Prinzipien, Open Innovation und Innovation Communities in den Innovationsprozess integrieren können.

Problem
Praktiken
Nutzen

Wie können Sie Ihre Stakeholder in den Innovationsprozess integrieren?

Freeman, R. E., Harrison, J. S., Wicks, A. C., Parmar, B. L., & De Colle, S. (2010). Stakeholder theory: The state of the art. New York, NY, USA: Cambridge University Press.

Nur 21% aller Produzenten sind mit ihrer Service-orientierten Strategie erfolgreich

Die Integration der richtigen Stakeholder in den richtigen Innovationsphasen unterstützt die Entwicklung erfolgreicher Services.

Wie können Sie die Einbindung von Stakeholdern in Ihre Innovationszyklen unterstützen?

Unsere Best Practices können helfen

Integrieren Sie Ihre Kunden

Die zentrale Idee hinter Open Innovation ist, dass in einer Welt mit breit gestreutem Wissen, Unternehmen es sich nicht mehr leisten können nur auf ihre eigene Forschung zu setzten, sondern ihre Kunden in den Innovations-/Entwicklungsprozess involvieren sollten.

Das Tool zielt darauf ab, den Aufwand zur manuellen Analyse von potentiellen Methoden zur Kundenintegration zu reduzieren, indem es passende Methoden für ein gegebenes Szenario vorschlägt. Es bietet dem Entscheidungsträger eine Kurzbeschreibung der vorgeschlagenen Methode und einen Link zu einer detaillierten Beschreibung.

Sie finden das Tool hier:

Innovieren Sie Ihr Geschäftsmodell

Geschäftsmodellinnovationen sichern einen Wettbewerbsvorteil und werden wichtiger als Produkt- oder Prozessinnovationen. „Ein Geschäftsmodell beschreibt das Grundprinzip, nach dem eine Organisation Werte schafft, vermittelt und erfasst.“

Unser Tool unterstützt Geschäftsmodellinnovationen mit Patterns. Patterns sind erfolgreiche Geschäftsmodelle aus verschiedenen Industrien. Das Tool unterstützt die Modellierung des State-of-the-art und schlägt Patterns für innovative neue Geschäftsmodelle vor.

Sie finden das Tool hier:

Testen Sie Ihr neues Geschäftsmodell

Die Analyse des neuen Ökosystems hilft dabei, den nachhaltigen Erfolg des Geschäftsmodells sicherzustellen. Die e3 Wertemethode unterstützt die Ökosystem-Analyse. Sie ermöglicht die Modellierung aller Akteure, Marktsegmente und Werteströme des Wertschöpfungsnetzes. Auf diese Weise, offenbart es mögliche Risiken neuer Geschäftsmodelle.

Erfahre mehr über die „e3 value“-Method hier:

Wie profitiert die Stakeholder-Integration von Ihren Innovationszyklen?

Bielak, D., Bonini, S. M., & Oppenheim, J. M. (2007). CEOs on strategy and social issues. The McKinsey Quarterly, 4, 1-8.

» Crowdsourcing funktioniert bei Ideation sehr gut. Je mehr desto besser. «

– Senior Innovation Consultant

» Ein großes Netzwerk an Experten und Startups hilft bei Innovationen immer. «

– Senior Innovation Project Manager

Wissenschaftlicher Kontext

Erfahren Sie mehr über die Teilprojekte des SFB 768, die zu diesem Use Case geführt haben:

Data-Based Development of an Agent-Based Simulation to Support the Design of Bicycle-Sharing Systems

Expand Abstract

Given the objective of the focal firm to generate value for stakeholders, this research aims at assessing mechanisms and outcomes for value creation and destruction between business model innovation (BMI) and stakeholders. To achieve this goal, we conduct a systematic literature review and apply grounded theory as coding scheme. Taking frequent mechanisms and outcomes into account, we construct a conceptual framework and pioneer theory building. As main result, we identify BMI creating economic return for third parties and product/service access for customers. Both outcomes are based on the mechanism of altering resources and processes. In contrast, analyzing stakeholder’s main influence, we find management creating strategic orientation by providing know-how. Our research agenda emphasizes the design of BMI from an ecosystem perspective and the destructive consequences of BMI. While the ecosystem level of analysis provides new insights into the concept, investigating negative impacts contributes to a more holistic understanding of BMI.

Autor: Hollauer, Christoph; Lang, Christopher; Wilberg, Julian; Weking, Jörg; Dengler, Christian; Böhm, Markus; Krcmar, Helmut; Lohmann, Boris; Omer, Mayada
Dokumententyp: Konferenzbeitrag

Leveraging Customer-integration Experience: A Review of Influencing Factors and Implications

Expand Abstract

Organizations have increasingly begun to co-create innovations, conduct idea competitions, or conduct crowdsourcing initiatives with customers in online communities. Yet, many customer-integration methods fail to attract sufficient customer participation and engagement. We draw on previous research to identify customers’ experience as an important determinant of whether customer-integration initiatives succeed. However, research has rarely applied the notion of experience in the context of customer integration. We conduct a cross-disciplinary literature review to identify the factors that constitute a positive customer-integration experience and the implications of the customer-integration experience. Based on 141 papers from marketing, technology and innovation management, information systems, human-computer interaction, and psychology research, we derive a framework for customer-integration experience that integrates 22 conceptually different influencing factors, 15 implications, and their interrelatedness based on motivation-hygiene theory. The framework sheds light on the current state of research on customer-integration experience and identifies possibilities for future research

Autor: Füller, Kathrin; Weking, Jörg; Böhm, Markus; Krcmar, Helmut
Dokumententyp: Zeitschriftenaufsatz

Business Model Innovation and Stakeholder Exploring Mechanisms and Outcomes of Value Creation and Destruction

Expand Abstract

Autor: Hermes, Sebastian; Böhm, Markus; Krcmar, Helmut
Dokumententyp: Konferenzbeitrag

Data-driven System Identification of an Innovation Community Model

Expand Abstract

With the growing global competition, the importance of innovations for the success of many companies is increasing signi ficantly. An important concept in an innovation process is the innovation communities, which develop and implement innovative ideas. The modeling of such non-physical systems is not a simple task. However, this can be performed with the agent-based modeling technique in a more natural way than by diferential equations. Unfortunately, the resulting agent-based model is not well-suited for control design. By using input and output data, it is possible to approximate an agent-based model as a Takagi-Sugeno (TS) fuzzy model. In this work, approximation of an agent-based model as a TS fuzzy model is presented.

Autor: Olcay, E.; Dengler, C., Lohmann, B.
Dokumententyp: Konferenzbeitrag

A hierarchical taxonomy of business model patterns

Expand Abstract

Although business model innovation (BMI) is essential to remaining competitive, many firms fail at it. A promising approach is building on reoccurring successful solutions – business model patterns (BMP) – as a blueprint for BMI. However, existing patterns face constraints subject to a high diversity and overlaps among patterns. In addition, literature do not consider relations among BMPs, which limits their potential for BMI. This paper develops a hierarchical taxonomy of BMPs including generalizations and specializations based on inheritance. We conduct a literature review to identify patterns and a cluster analysis to create an inductive structure, followed by a qualitative analysis. The resulting hierarchical taxonomy includes 194 elements. It is the first hierarchical taxonomy of BMPs. The hierarchy addresses the diversity of patterns and overlaps with inheritance. It aids research to structure and understand BMPs. For practice, the taxonomy allows for the application of patterns and supports BMI.

Autor: Weking, Jörg; Hein, Andreas; Böhm, Markus; Krcmar, Helmut
Dokumententyp: Konferenzbeitrag

Erfahren Sie mehr in diesem Video:

Kontakt

Jörg Weking, M.Sc.

Technical University of Munich

Weking(at)in.tum.de

www.winfobase.de

www.sfb768.tum.de

Erfahren Sie mehr über die Teilprojekte des SFB 768, die zu diesem Use Case geführt haben:

Data-Based Development of an Agent-Based Simulation to Support the Design of Bicycle-Sharing Systems

Expand Abstract

Bicycle-Sharing Systems are emerging as alternative modes of transportation, successfully combining product and service aspects similar to those of other Product-Service Systems. Since such systems are influenced by a number of factors during their operation, identifying ways to manage the dynamic complexity during the operational phase is desirable. In this paper, we present an approach using agent-based modeling in combination with data analytics of system usage data to analyze the impact system architecture changes would have on overall system behavior.