180,488 research outputs found

    Designing Scalable Business Models

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    Digital business models are often designed for rapid growth, and some relatively young companies have indeed achieved global scale. However despite the visibility and importance of this phenomenon, analysis of scale and scalability remains underdeveloped in management literature. When it is addressed, analysis of this phenomenon is often over-influenced by arguments about economies of scale in production and distribution. To redress this omission, this paper draws on economic, organization and technology management literature to provide a detailed examination of the sources of scaling in digital businesses. We propose three mechanisms by which digital business models attempt to gain scale: engaging both non- paying users and paying customers; organizing customer engagement to allow self- customization; and orchestrating networked value chains, such as platforms or multi-sided business models. Scaling conditions are discussed, and propositions developed and illustrated with examples of big data entrepreneurial firms

    Mapping and Developing Service Design Research in the UK.

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    This report is the outcome of the Service Design Research UK (SDR UK) Network with Lancaster University as primary investigator and London College of Communication, UAL as co-investigator. This project was funded as part of an Arts and Humanities Research Council Network grant. Service Design Research UK (SDR UK), funded by an AHRC Network Grant, aims to create a UK research network in an emerging field in Design that is Service Design. This field has a recent history and a growing, but still small and dispersed, research community that strongly needs support and visibility to consolidate its knowledge base and enhance its potential impact. Services represent a significant part of the UK economy and can have a transformational role in our society as they affect the way we organize, move, work, study or take care of our health and family. Design introduces a more human centred and creative approach to service innovation; this is critical to delivering more effective and novel solutions that have the potential to tackle contemporary challenges. Service Design Research UK reviewed and consolidated the emergence of Service Design within the estalished field of Design

    (De)convergence in TV: a comparative analysis of the development of Smart TV

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    Against the backdrop of media convergence, Smart TVs are developing rapidly in large parts of the world. Smart TV refers to the integration of broadband Internet and social media features into TV sets. From a media business perspective, the proliferation of Smart TV services may put pressure on the market structure of the TV landscape, and urge for new business models in order to capture the dynamics of media convergence. By means of a comparative analysis in four European markets (Belgium, Germany, the Netherlands and the United Kingdom), the development of Smart TV is sketched in terms of viewing patterns, business models and standardization. The conclusion is that national TV markets are evolving quite differently, so that service providers must adapt their marketing strategies to reflect local market conditions. Hence, the success of Smart TV ultimately depends on the local package of value-added services and the amount of strategic partnerships with content owners, TV broadcasters and pay-TV operators

    Digital Ecosystems: Ecosystem-Oriented Architectures

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    We view Digital Ecosystems to be the digital counterparts of biological ecosystems. Here, we are concerned with the creation of these Digital Ecosystems, exploiting the self-organising properties of biological ecosystems to evolve high-level software applications. Therefore, we created the Digital Ecosystem, a novel optimisation technique inspired by biological ecosystems, where the optimisation works at two levels: a first optimisation, migration of agents which are distributed in a decentralised peer-to-peer network, operating continuously in time; this process feeds a second optimisation based on evolutionary computing that operates locally on single peers and is aimed at finding solutions to satisfy locally relevant constraints. The Digital Ecosystem was then measured experimentally through simulations, with measures originating from theoretical ecology, evaluating its likeness to biological ecosystems. This included its responsiveness to requests for applications from the user base, as a measure of the ecological succession (ecosystem maturity). Overall, we have advanced the understanding of Digital Ecosystems, creating Ecosystem-Oriented Architectures where the word ecosystem is more than just a metaphor.Comment: 39 pages, 26 figures, journa

    Special Session on Industry 4.0

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