MANAGE YOUR INNOVATION CYCLES!

STAKEHOLDER INTEGRATION

The Use Case Stakeholder Integration shows how to integrate external stakeholders in innovation processes and particularly in business model innovations. Build on customers, partners, startups or external experts to speed up innovation cycles and innovate your business model.

Problem
Practices
Benefits

How to integrate your stakeholders in the innovation process?

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.

Only 21% of manufacturers succeeded with servitized strategies.

Integrating the right stakeholders in the right innovation phases supports developing successful services.

How can you support stakeholder integration in your innovation cycles?

Our best practices can help

Integrate your Customers

The central idea behind open innovation is that, in a world of widely distributed knowledge, companies cannot afford to entirely depend on their own research, but should instead involve their customers also in the innovation/development process. The tool is aimed to reduce the burden of analyzing the possible customer integration methods manually and proposing an apt method for a given scenario. It provides the decision maker a brief description of the suggested customer integration methods and link to detailed description. You can find the tool here:

Innovate your Business Model

Business Model Innovation fosters competitive advantage and becomes more important than product or process innovations. “A business model describes the rationale of how an organization creates, delivers, and captures value.”1 Our tool supports business model innovations with patterns. Patterns are successful business models from different industries. The tool supports modelling the state of the art and suggests patterns for innovative new business models. You can find the tool here:

Test your new Business Model

Analyzing the new ecosystem helps to ensure sustainable success of the business model. The e3 value method supports ecosystem analysis. It enables to model all actors, market segments, and value streams of the value network. In this way, it reveals possible risks of new business models. Read more about the e3 value method here:

How does stakeholder integration benefit your innovation cycles?

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

» Crowdsourcing works very well for the ideation. The more, the better. «

– Senior Innovation Consultant

» A large network of experts and start-ups always helps with innovations. «

– Senior Innovation Project Manager

Research Context

Find out more about the CRC 768 subprojects that resulted in this Use Case:

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

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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

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

Data-driven System Identification of an Innovation Community Model

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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

Find out more in this video:

Contact

Jörg Weking, M.Sc.

Technical University of Munich

Weking(at)in.tum.de

www.winfobase.de

www.sfb768.tum.de

Find out more about the CRC 768 subprojects that resulted in this Use Case:

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.