42,219 research outputs found

    The "fuzzy front end" of innovation

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    The fast transformation of technologies into new products or processes is one of the core challenges for any technology-based enterprise. Within the innovation process, we believe, the early phases (fuzzy front end) to have the highest impact on the whole process and the result (Input-Output Process), since it will influence the design and total costs of the innovation extremely. However the Fuzzy Front End is unfortunately the least-well structured part of the innovation process, both in theory and in practice. The focus of the present chapter is on methods and tools to manage the fuzzy front end of the innovation process. Firstly, the activities, characteristics, and challenges of the front end are described. Secondly, a framework of the application fields for different methods and tools is presented: Since a product upgrade requires a different approach compared to radical innovation, where the market is unknown and a new technology is applied, we believe such a framework to be useful for practitioners. Thirdly, a selection of methods and tools that can be applied to the fuzzy front end are presented and allocated within the framework. The methods selected here address process improvements, concept generation, and concept testing. --fuzzy front end,innovation management,stage-gate process,frontloading,triz,dsm-matrix,lead user

    Collaborative design : managing task interdependencies and multiple perspectives

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    This paper focuses on two characteristics of collaborative design with respect to cooperative work: the importance of work interdependencies linked to the nature of design problems; and the fundamental function of design cooperative work arrangement which is the confrontation and combination of perspectives. These two intrinsic characteristics of the design work stress specific cooperative processes: coordination processes in order to manage task interdependencies, establishment of common ground and negotiation mechanisms in order to manage the integration of multiple perspectives in design

    A Metadesign Theory for Tailorable Decision Support

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    Despite years of decision support systems (DSS) research, DSS artifacts are frequently criticized for lacking practitioner relevance and for neglecting configurability and contextual dynamism. Tailoring in end-user contexts can produce relevant emergent DSS artifacts, but design theory for this is lacking. Design science research (DSR) has important implications for improving DSS uptake, but generally this has not been promoted in the form of metadesigns with design principles applicable to other DSS developments. This paper describes a metadesign theory for tailorable DSS, generated through action design research studies in different primary industries. Design knowledge from a DSS developed in an agricultural domain was distilled and generalized into a design theory comprising: (1) a general solution concept (metadesign), and (2) five hypothesized design principles. These were then instantiated via a second development in which the metadesign and design principles were applied in a different domain (forestry) to produce a successful DSS, thus testing the metadesign and validating the design principles. In addition to contributing to DSR and illustrating innovation in tailorable technology, the paper demonstrates the utility of action design research to support theory development in DSS design

    Innovation in the service economy: novelty in solutions

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    Recent studies show that firms in the knowledge economy develop new services as well as new products, thus providing solutions, experiences and creating value with, as well as for, their customers (Prahalad & Ramaswarmy, 2004). The paper briefly reviews literatures on multiple forms of innovation, including innovation in services. Characteristics of firms undertaking innovation in services are identified and implications for the management of innovation and propositions for future research are developed

    Learning in Enterprise System Support: Specialization, Task Type and Network Characteristics

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    In this paper, we introduce two contingency factors --task type and network characteristics—that examine how individuals learn from experience. We hypothesize that task specialization and variation have positive impacts on IS professionals’ learning from experience. We further hypothesize that this performance effect of learning is contingent upon task type and characteristics of domain-specific knowledge networks. In particular, specialized experience will be more beneficial to learning when a task is a locating task-type or when network centrality is high. In contrast, varied experience will be more beneficial when a task is a diagnosing task-type or when network betweenness is high. The research model will be validated in the context of postimplementation enterprise system support. The study incorporates a social network perspective to study learning by experience, and contributes to the knowledge management field. Findings will provide practical insights on managing IT human capital and improving IS support services

    Teaching and learning in virtual worlds: is it worth the effort?

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    Educators have been quick to spot the enormous potential afforded by virtual worlds for situated and authentic learning, practising tasks with potentially serious consequences in the real world and for bringing geographically dispersed faculty and students together in the same space (Gee, 2007; Johnson and Levine, 2008). Though this potential has largely been realised, it generally isn’t without cost in terms of lack of institutional buy-in, steep learning curves for all participants, and lack of a sound theoretical framework to support learning activities (Campbell, 2009; Cheal, 2007; Kluge & Riley, 2008). This symposium will explore the affordances and issues associated with teaching and learning in virtual worlds, all the time considering the question: is it worth the effort
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