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Titlebook: Diffusion and Adoption of Information Technology; Proceedings of the f Karlheinz Kautz,Jan Pries-Heje Conference proceedings 1996 IFIP Inte

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楼主: 笔记
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Interorganisational networks and the diffusion process: The case of networks not working80’s. The focus is on the role of interorganisational networks in the diffusion process. Previous research has recognised that potential adopters of CAPM technology are subjected to a pro-innovation bias when developing an awareness of the technology, such that adoption is considered always to be th
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Learning at workhis paper analyzes processes of ‘learning at work’ as they emerge in groups of workers using IT for management and monitoring of the long lines and trunk networks in a telecommunications company. It is shown how resources for learning are socially structured, and how most of the learning takes place
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Library of Ethics and Applied Philosophyd Diffusion of IT at Leangkollen, Oslo in October 1995. In the working group the term information technology is used in its broadest sense spanning from traditional information systems, over modern communication technology to best practice routines in system development and software engineering.
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Introduction to Reflective Goal Settingplementation in organizations (Kwon and Zmud 1987, Leonard-Barton 1987, Fichman 1992) of software and IT innovations. This new area has attracted the interest of both the research and the practice communities. For example, four IEEE Computer Society workshops on software engineering technology trans
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Visuals in the Special Needs Classrooml high street bank and a technical research centre in a multinational manufacturing company. The study suggests that although corporate philosophy and politics can create a drive towards exploring a set of technologies, they can simultaneously encourage a way of organising and managing work that con
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https://doi.org/10.1007/978-981-13-9475-1 of indicators describing the phenomenon in interest. . are mostly used for technological forecasting purposes; forecasting is based on the . of the empirical data to the model formula and trend extrapolation outside the empirical period. The fit gives numeric values to the parameters of the model.
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