74,821 research outputs found

    New forms of collaborative innovation and production on the internet

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    The Internet has enabled new forms of large-scale collaboration. Voluntary contributions by large numbers of users and co-producers lead to new forms of production and innovation, as seen in Wikipedia, open source software development, in social networks or on user-generated content platforms as well as in many firm-driven Web 2.0 services. Large-scale collaboration on the Internet is an intriguing phenomenon for scholarly debate because it challenges well established insights into the governance of economic action, the sources of innovation, the possibilities of collective action and the social, legal and technical preconditions for successful collaboration. Although contributions to the debate from various disciplines and fine-grained empirical studies already exist, there still is a lack of an interdisciplinary approach

    New forms of collaborative innovation and production on the internet

    Get PDF
    The Internet has enabled new forms of large-scale collaboration. Voluntary contributions by large numbers of users and co-producers lead to new forms of production and innovation, as seen in Wikipedia, open source software development, in social networks or on user-generated content platforms as well as in many firm-driven Web 2.0 services. Large-scale collaboration on the Internet is an intriguing phenomenon for scholarly debate because it challenges well established insights into the governance of economic action, the sources of innovation, the possibilities of collective action and the social, legal and technical preconditions for successful collaboration. Although contributions to the debate from various disciplines and fine-grained empirical studies already exist, there still is a lack of an interdisciplinary approach

    New forms of collaborative innovation and production on the internet - an interdisciplinary perspective

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    The Internet has enabled new forms of large-scale collaboration. Voluntary contributions by large numbers of users and co-producers lead to new forms of production and innovation, as seen in Wikipedia, open source software development, in social networks or on user-generated content platforms as well as in many firm-driven Web 2.0 services. Large-scale collaboration on the Internet is an intriguing phenomenon for scholarly debate because it challenges well established insights into the governance of economic action, the sources of innovation, the possibilities of collective action and the social, legal and technical preconditions for successful collaboration. Although contributions to the debate from various disciplines and fine-grained empirical studies already exist, there still is a lack of an interdisciplinary approach

    Open computer aided innovation to promote innovation in process engineering

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    Recent advances in theoretical approaches to innovation and in information and communication technologies provide a more structured knowledge-driven environment for inventors, designers and engineers. Consequently, a new category of tools known as computer aided innovation (CAI) has emerged, with goals of assisting designers in their creative performance and of effectively implementing a complete innovation process throughout the entire product or process life cycle. Based on the concept of Open CAI 2.0 introduced by HĂŒsig and Kohn (2011), this paper goes further by proposing a prototype software tool for the next evolutionary step of CAI arising from two major recent developments: new advances in technological possibilities in the software field commonly referred to as “Web 2.0” and a strategic paradigm shift from closed to open innovation in many companies. This contribution is one of the first attempts to create a concrete methodological framework based on collective intelligence (through Web 2.0 practices), a collaboration support (with the benefits of on-line social networks) and a problem resolution process. In the proposed Open CAI 2.0, the inventive problem solving method is inspired by the coupling between the innovation theory TRIZ and case based reasoning in order to support the generation of inventive technological solutions because problem solving often requires a reformulation of the initial problem to construct an abstract model of the problem. This paper highlights the importance of knowledge acquisition, capitalization and reuse as well as the problem formulation and resolution in collaboration. A case study on biomass gasification is used to illustrate the method and tool capabilities in the chemical process industry

    Living Innovation Laboratory Model Design and Implementation

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    Living Innovation Laboratory (LIL) is an open and recyclable way for multidisciplinary researchers to remote control resources and co-develop user centered projects. In the past few years, there were several papers about LIL published and trying to discuss and define the model and architecture of LIL. People all acknowledge about the three characteristics of LIL: user centered, co-creation, and context aware, which make it distinguished from test platform and other innovation approaches. Its existing model consists of five phases: initialization, preparation, formation, development, and evaluation. Goal Net is a goal-oriented methodology to formularize a progress. In this thesis, Goal Net is adopted to subtract a detailed and systemic methodology for LIL. LIL Goal Net Model breaks the five phases of LIL into more detailed steps. Big data, crowd sourcing, crowd funding and crowd testing take place in suitable steps to realize UUI, MCC and PCA throughout the innovation process in LIL 2.0. It would become a guideline for any company or organization to develop a project in the form of an LIL 2.0 project. To prove the feasibility of LIL Goal Net Model, it was applied to two real cases. One project is a Kinect game and the other one is an Internet product. They were both transformed to LIL 2.0 successfully, based on LIL goal net based methodology. The two projects were evaluated by phenomenography, which was a qualitative research method to study human experiences and their relations in hope of finding the better way to improve human experiences. Through phenomenographic study, the positive evaluation results showed that the new generation of LIL had more advantages in terms of effectiveness and efficiency.Comment: This is a book draf

    Importance of Global Co-innovation Networks: A TCS Case Study

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    Today all kinds of innovations and research work is done by partnerships of competent entities each having some specialized skills. Like the development of the global economy, global innovation partnerships have grown considerably and form the basis of most of the sophisticated innovations today. To further streamline and simplify such cooperation, several innovation networks have been formed, both at local and global levels. This paper discusses the different types of innovations and how cooperation can benefit innovation in terms of pooling of resources and sharing of risks. One example of an open global co-innovation network promoted by Tata Consultancy Services, the TCS COIN is taken as a case. It enables venture capitalists, consultants, research agencies, companies and universities form nodes of the network so that each entity can play a meaningful role in the innovation network. Further, two innovation projects implemented using the COIN are discussed. Innovation Networks like these could form the basis of a unique global innovation network, which is not owned by any company and is used by innovation partners globally to collaborate and conduct research and development.innovation partnerships; co-innovation network

    Final report of work-with-IT: the JISC study into evolution of working practices

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    Technology is increasingly being used to underpin business processes across teaching and learning, research, knowledge exchange and business support activities in both HE and FE. The introduction of technology has a significant impact on the working practices of staff, often requiring them to work in a radically different way. Change in any situation can be unsettling and problematic and, where not effectively managed, can lead to poor service or functionality and disenfranchised staff. These issues can have a direct impact on institutional effectiveness, reputation and the resulting student experience. The Work-with-IT project, based at the University of Strathclyde, sought to examine changes to working practices across HE and FE, the impact on staff roles and relationships and the new skills sets that are required to meet these changes

    Harnessing Technology: preliminary identification of trends affecting the use of technology for learning

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    If you build it, will they come? How researchers perceive and use web 2.0

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    Over the past 15 years, the web has transformed the way we seek and use information. In the last 5 years in particular a set of innovative techniques – collectively termed ‘web 2.0’ – have enabled people to become producers as well as consumers of information. It has been suggested that these relatively easy-to-use tools, and the behaviours which underpin their use, have enormous potential for scholarly researchers, enabling them to communicate their research and its findings more rapidly, broadly and effectively than ever before. This report is based on a study commissioned by the Research Information Network to investigate whether such aspirations are being realised. It seeks to improve our currently limited understanding of whether, and if so how, researchers are making use of various web 2.0 tools in the course of their work, the factors that encourage or inhibit adoption, and researchers’ attitudes towards web 2.0 and other forms of communication. Context: How researchers communicate their work and their findings varies in different subjects or disciplines, and in different institutional settings. Such differences have a strong influence on how researchers approach the adoption – or not – of new information and communications technologies. It is also important to stress that ‘web 2.0’ encompasses a wide range of interactions between technologies and social practices which allow web users to generate, repurpose and share content with each other. We focus in this study on a range of generic tools – wikis, blogs and some social networking systems – as well as those designed specifically by and for people within the scholarly community. Method: Our study was designed not only to capture current attitudes and patterns of adoption but also to identify researchers’ needs and aspirations, and problems that they encounter. We began with an online survey, which collected information about researchers’ information gathering and dissemination habits and their attitudes towards web 2.0. This was followed by in-depth, semi-structured interviews with a stratified sample of survey respondents to explore in more depth their experience of web 2.0, including perceived barriers as well as drivers to adoption. Finally, we undertook five case studies of web 2.0 services to investigate their development and adoption across different communities and business models. Key findings: Our study indicates that a majority of researchers are making at least occasional use of one or more web 2.0 tools or services for purposes related to their research: for communicating their work; for developing and sustaining networks and collaborations; or for finding out about what others are doing. But frequent or intensive use is rare, and some researchers regard blogs, wikis and other novel forms of communication as a waste of time or even dangerous. In deciding if they will make web 2.0 tools and services part of their everyday practice, the key questions for researchers are the benefits they may secure from doing so, and how it fits with their use of established services. Researchers who use web 2.0 tools and services do not see them as comparable to or substitutes for other channels and means of communication, but as having their own distinctive role for specific purposes and at particular stages of research. And frequent use of one kind of tool does not imply frequent use of others as well
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