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.
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In order to become more innovative, corporations are increasingly turning to design-driven innovation capabilities. These capabilities are dynamic: they influence the way companies run their business and how companies create, capture and deliver value. Building design capabilities has proven difficult, given the tacit nature of design practice and the conflicting reasoning style of abduction that allows for the creative leap. However, if these enterprises don't improve, they are in danger of losing their ability to add value to the market. This may result in loss of market-share, which may lead to job destruction and the loss of valuable knowledge as communities of practice fall apart. This paper describes an iterative design process in which a tool was developed to determine which design-driven innovation capabilities a company is lacking. The tool started as a theoretical framework and was subsequently developed by prototyping with innovation managers from several large corporates. This paper contributes a new 'dynamic capabilities view' on design and innovation and a practical approach to implementing design in large firms. LinkedIn: https://www.linkedin.com/in/christine-de-lille-8039372/
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IntroductionThe growing availability of data offers plenty of opportunities for data-driven innovation of business models. This certainly applies to interactive mediacompanies. Interactive media companies are engaged in the development, provisioning, and exploitation of interactive media services and applications.Through the service interactions, they may collect large amounts of data which can be used to enhance applications or even define new propositions and business models. According to Lippell (2016), media companies can publish content in more sophisticated ways. They can build a deeper and more engaging customer relationship based on a deeper understanding of their users. Indeed, research from Weill & Woerner (2015) suggests that companies involved in the digitalecosystem that better understand their customers than their average competitor have significantly higher profit margins than their industry averages. Moreover, the same research suggests that businesses need to think more broadly about their position in the ecosystem. Open innovation and collaboration are essential for new growth, for example combining data within and across industries (Parmar et al., 2014). However, according to (Mathis and Köbler, 2016), these opportunities remain largely untapped as especially SMEs lack the knowledge and processes to translate data into attractive propositions and design viable data driven business models (DDBM). In this paper, we investigate how interactive media companies can structurally gain more insight and value from data and how they can develop DDBM. We define a DDBM as a business model relying on data as a key resource (Hartmann et al., 2016).
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