Uit het vooronderzoekvan het project Duurzamelearning communities: Oogstenin de Greenportblijkt dat12 factorenhierbijvan belangrijk zijn. Deze succesfactoren staan centraal in de interactieve tool Seeds of Innovation. Ook komen uit het vooronderzoek, aangevuld met inzichten uit de literatuur en tips om de samenwerking door te ontwikkelen en meer gebruik te maken van de opbrengsten 12 succesfactoren met toelichting, belangrijkste bevindingen en tips voor ‘hoe nu verder’, Poster, Walk through, De app die learning communities helptde samenwerkingnaareenhogerplan te tillenen innovatieveopbrengstenoptimaalte benutten.
MULTIFILE
Business innovation is a multidisciplinary area of expertise that bridges the gap between traditional areas of study such as business administration, organizational studies, marketing, design, engineering and entrepreneurship. Business innovation focuses on creating, accelerating and managing new and sustainable business models through innovation (Crossan and Apaydin, 2010; Keeley, Walters, Pikkel, and Quinn, 2013).
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This paper seeks to make a contribution to business model experimentation for sustainability by putting forward a relatively simple tool. This tool calculates the financial and sustainability impact based on the SDG’s of a newly proposed business model (BM). BM experimentation is described by Bocken et al. (2019) as an iterative-multi-actor experimentation process. At the final experimentation phases some form of sustainability measurement will be necessary in order to validate if the new proposed business model will be achieving the aims set in the project. Despite the plethora of tools, research indicates that tools that fit needs and expectations are scarce, lack the specific focus on sustainable BM innovation, or may be too complex and demanding in terms of time commitment (Bocken, Strupeit, Whalen, & Nußholz, 2019a). In this abstract we address this gap, or current inability of calculating the financial and sustainability effect of a proposed sustainable BM in an integrated, time effective manner. By offering a practical tool that allows for this calculation, we aim to answer the research question; “How can the expected financial and sustainability impact of BMs be forecasted within the framework of BM experimentation?
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Currently, many novel innovative materials and manufacturing methods are developed in order to help businesses for improving their performance, developing new products, and also implement more sustainability into their current processes. For this purpose, additive manufacturing (AM) technology has been very successful in the fabrication of complex shape products, that cannot be manufactured by conventional approaches, and also using novel high-performance materials with more sustainable aspects. The application of bioplastics and biopolymers is growing fast in the 3D printing industry. Since they are good alternatives to petrochemical products that have negative impacts on environments, therefore, many research studies have been exploring and developing new biopolymers and 3D printing techniques for the fabrication of fully biobased products. In particular, 3D printing of smart biopolymers has attracted much attention due to the specific functionalities of the fabricated products. They have a unique ability to recover their original shape from a significant plastic deformation when a particular stimulus, like temperature, is applied. Therefore, the application of smart biopolymers in the 3D printing process gives an additional dimension (time) to this technology, called four-dimensional (4D) printing, and it highlights the promise for further development of 4D printing in the design and fabrication of smart structures and products. This performance in combination with specific complex designs, such as sandwich structures, allows the production of for example impact-resistant, stress-absorber panels, lightweight products for sporting goods, automotive, or many other applications. In this study, an experimental approach will be applied to fabricate a suitable biopolymer with a shape memory behavior and also investigate the impact of design and operational parameters on the functionality of 4D printed sandwich structures, especially, stress absorption rate and shape recovery behavior.
The BECEE initiative represents a transformative collaboration between four leading European HEIs—Hanze University of Applied Sciences (HUAS), Zurich University of Applied Sciences (ZHAW), South East Technological University (SETU), and Universiteti "Aleksandër Moisiu" Durrës (UAMD). Our consortium embodies the essence of BECEE and the EIT Knowledge Triangle Model because it also comprises of 4 industry partners (KPN, Eindhoven, The Netherlands, Innofuse, Zurich, Switzerland, Dungarvan Enterprise Centre, South East, Ireland, and Linda Laboratory, Durrës, Albania) bringing together partners from education, research, and business who are equally committed to collaborate on innovation action plans to fostering balanced collaborative entrepreneurship ecosystems in our respective regions. This consortium, therefore, is strategically designed to pool diverse strengths, creating a synergetic force for innovation and entrepreneurship that transcends the capabilities of any single organisation.
Lectoraat, onderdeel van Saxion
