Circular Economy - Chance for Innovation

Tobias Berndt, Claus Lang-Koetz, Silvia Rummel
JournalIndustrie 4.0 Management
Issue Volume 38, 2022, Edition 1, Pages 33-36
Open Accesshttps://doi.org/10.30844/I40M_22-1_33-36
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Abstract

Circular Economy is considered one of the most promising concepts on the way to a more sustainable economy. Expectations of a responsible corporate orientation are rising: This is shown by a recent ruling of the Federal Constitutional Court, which demands that Germany must be more ambitious in its climate goals [1]. The EU Green Deal envisages climate neutrality by 2050 and the “Circular Economy Action Plan” calls for more effective use of resources and reserves [2]. This article describes a method that companies can use to develop ideas for circular business models.

Keywords

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Bibliography

[1] Bundesverfassungsgericht: URL: www.bundesverfassungsgericht.de/SharedDocs/Entscheidungen/DE/2021/03/rs20210324_1bvr265618.html, Abrufdatum 15.05.2021.
[2] Europäische Kommission: Ein neuer Aktionsplan für die Kreislaufwirtschaft. Für ein saubereres und wettbewerbsfähigeres Europa. Brüssel 2020. Europäische Kommission: Der europäische Grüne Deal. Brüssel 2019.
[3] Kirchherr, J.; Reike, D.; Hekkert, M.: Conceptualizing the circular economy: An analysis of 114 definitions. In: Resources, Conservation & Recycling (2017), Ausgabe Nr. 127, S. 221-232. DOI: http://dx.doi.org/10.1016/j.resconrec.2017.09.005.
[4] van Buren, N.; Demmers, M.; van der Heijden, R.; Witlox, F.: Towards a Circular Economy: The Role of Dutch Logistics Industries and Govern- ments. In: Sustainability 2016, 8, 647,

S. 1-17, DOI:10.3390/su8070647.
[5] Planing, P.: Business Model Innovation in a Circular Economy. In: Open journal of business model innovation 2015, DOI: https://www.rese- archgate.net/publication/273630392:
[6] Eit Raw Materials: URL: https://eitrawmaterials.eu/?attachment_id=7360, Abrufdatum 30.06.2021.
[7] Acatech; Circular Economy Initiative Germany; SYSTEMIQ Ltd.: Circular Business Models: Overcoming Barriers, Unleashing Potential. Executive Summary and Recommen-

dations. München London 2020.
[8] Zucchella, A.; Urban, S.: Value Propositions and Business Models for Circular Entrepreneurship. In: Circular Entrepreneurship Creating Responsible Enterprise. Cham 2019, S.61-88, Springer Nature Switzerland AG, DOI: https://doi.org/10.1007/978-3-030-18999-0.
[9] Bungard, P.: CSR und Geschäftsmodelle: Auf dem Weg zum zeitgemäßen Wirtschaften. 1. Auflage. Berlin 2018, S. V-VI, Springer-Verlag Deutschland GmbH, DOI: https:// doi.org/10.1007/978-3-662-52882-2.
[10] CatReman: URL: www.caterpillar.com/en/brands/catreman.html, Abrufdatum 15.08.2021.
[11] Tobias Berndt: Entwicklung einer Methode zur Generierung von Innovationsideen zu Geschäftsmodellen für die Circular Economy, Pforzheim 2021.
[12] Vetterli, C.; Brenner, W.; Übernickel, F.; Berger, K.: Die Innovationsmethode Design Thinking. Düsseldorf 2012, Symposion Publishing.
[13] Grots, A.; Pratschke, M.: Design Thinking – Kreativität als Methode. In: Marketing Review St. Gallen 2 (2009).
[14] United Nations: Report of the World Commission on Environment and Development-Our Common Future UN Documents, Abs. 27. 1987.
[15] Festo SE & Co. KG: Nachhaltigkeitsbericht Festo (2017-2019), S. 12-13.

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