• Managing Sustainable Innovations

    Success factors for innovation management in the context of sustainability transformation

    International Benchmarking Study

    Managing Sustainable Innovations

    Success factors for innovation management in the context of sustainability transformation

    International Benchmarking Study

Vielen Dank für die zahlreiche Teilnahme an der Fragebogenstudie. Diese wurde erfolgreich am 31.07.2023 geschlossen. Alle Teilnehmenden haben Anfang September eine individuelle Auswertung per E-Mail erhalten. Sollten Sie teilgenommen, aber keine Auswertung vorliegen haben, sprechen Sie uns gerne an!

We congratulate the five selected Successful Practice companies and look forward to the company visits and the associated exchange in the near future!

Objective

Which methods are relevant for the development of sustainable products? How can digitalization help to reduce the ecological footprint? What roles and competencies are required for sustainability-oriented innovation management? How can sustainability be anchored in corporate culture? More than ever, these exemplary questions embody challenges that the manufacturing industry faces in the context of sustainable innovations. The management of sustainable innovations plays a key role in answering these questions.

Therefore, we, the Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University and the Complexity Management Academy, in cooperation with an industry consortium, would like to identify successful and proven best practices for the management of sustainable innovations. The focus is on a holistic view of the company, with the emphasis on strategy, product, process and organization, under the reference of the finace, environment, social and governance targets. Use the benchmarking study “Managing Sustainable Innovations" to examine your own approach, to gain further impulses and find out about successful approaches based on the study results.

We look forward to your participation! Please use the button on the top of the page.

Timeline

The benchmarking study will be conducted over a period of 10 months. During the initial screening phase data is captured in a global context based on a questionnaire. In collaboration with our industrial and scientific expert network, promising approaches are further analyzed via case studies with the respective participants of the study. As part of the evaluation phase, the returned questionnaires are analyzed while all participants are provided with an individual positioning within the overall study results. Adhering to the overall motto “Learn from the best”, best-practices are shared across the successful-practice-companies and the consortium in the course of five company visits.



Scope

Shown below is the scope of the international benchmarking study. The areas serve to structure the topic and enable a target-oriented discussion within the project.



Industrial Consortium

Partner

The VDMA is a partner of the Benchmarking Study.

References

"In the KBM "Agile Product Development", we were able to discuss our own status quo across industries and gain numerous insights into best practices via the study. This approach was of major benefit to us."

(Head of Project and Process Management Vaillant Group)

 

The Complexity Management Academy is conducting the benchmarking study “Managing Sustainable Innovations" together with the Laboratory for Machine Tools and Production Engineering (WZL) at RWTH Aachen University, thus continuing a series of successfully completed benchmarking studies of this kind. Our industry customers appreciate our professional project management in addition to our well-founded technical and methodological expertise.

Successful consortium benchmarking studies of the past years:



Artificial intelligence in R&D (2018)

The benchmarking study examined how AI is used in companies R&D work and where it is already finding its way into new products. Over 200 companies provided responses on four central AI topics in R&D. In addition to identifying new service offerings through the application of AI in the product portfolio, possible applications for optimizing internal R&D processes are queried. Furthermore, the companies provided information on organizational and technological prerequisites for the successful integration of AI in R&D.

 

Consortium partner

The consortium consisted of 24 companies from various industries and company sizes with companies such as Covestro, Miele, ZF, Endress + Hauser, and many more.

 

Successful practice companies

ABB, Airbus, Dürr Systems, Wacker Chemie, 3M Germany

Agile Product Development (2019)

The thematic focus of the benchmarking study "Agile Product Development" was to identify success factors for the agile development of physical products. Within the framework of this benchmarking study, systematic, generally applicable and targeted solution approaches for the application of agile methods in the product development of manufacturing companies were derived along the six central topics of the framework "Organization", "Methods" and "Tools", "Infrastructure", "Prototyping", "Process" and "Culture and Mindset".

Consortium partners

16 consortium partners, such as Bosch, Mahle, Swarovski, Schaeffler or Roche, from different industries and different company sizes formed the consortium.

Successful practice companies

Claas, ASML, Philips Healthcare, Trumpf, Continental

Click here for past KBM studies

Agile Product Development
Agile Product Development

Industry 4.0 in R&D
Industry 4.0 in R&D

Artificial intelligence in R&D
Artificial intelligence in R&D

Market Intelligence
Market Intelligence

Success Factors in Product and Portfoliomanagement
Success Factors in Product and Portfoliomanagement

Product Lifecycle Management
Product Lifecycle Management

Digital Product Development
Digital Product Development

Your contact persons

Christina Ruschitzka, M.Sc.
Project lead
Complexity Management Academy GmbH
Phone: +49 (0) 151 515 695 58

Email: christina.ruschitzka@complexity-academy.com

 



Sven Schümmelfeder, M.Sc.
Project team member
Complexity Management Academy GmbH
Phone: +49  (0) 151 23335236

Email: sven.schuemmelfeder@complexity-academy.com

 



Nikolai Kelbel, M.Sc.
Project team member
Complexity Management Academy GmbH
Phone: +49 (0) 15143190382

Email: nikolai.kelbel@complexity-academy.com

 



Alexander Keuper, M.Sc.
Geschäftsführer

Complexity Management Academy GmbH
Mobil: +49 (0) 151 43115499

E-Mail: alexander.keuper@complexity-academy.com

 

 



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