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The image of innovation.

机译:创新形象。

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摘要

The phenomena of innovation and its spread have been scrutinized by social scientists for several decades now. This scholarship has yielded many important insights; it has, however, also produced a recognition that the dominant approach to research in this field, grounded in what can be called the diffusion model of individual adoption, has consistently failed to accommodate individual differences in the perception and utilization of innovation.;Our model, grounded in the principles of radical phenomenology, begins with the notion that all experience--including the experience of innovation--can be conceived as a succession of semantically-significant representations in the consciousness of each individual. Through a combination of qualitative and quantitative procedures we are able to map these representations--or mental "images"--to a multi-dimensional coordinate space, where measures of the semantic "distance" between subjectively-held meanings can be taken. Over-time changes in such individual "inclinations" are the new measure of innovation and its spread. We demonstrate the application of these techniques using longitudinal data collected from a higher education site, where efforts to implement computer-network innovation have been underway for the past three years.;By challenging the Realist philosophical assumptions upon which the dominant diffusion model is built, the centration model yields much more precise representations of subjective experience, allowing researchers to discover the presence of innovation, to identify individuals or groups whose "images" of innovation are more or less similar, and to chart over-time changes in the "distance" between social actors. In this way, the new model stimulates new thinking about innovation as a process and promotes improved planning, execution, and assessment of implementation efforts.;In this paper we first develop a phenomenology of innovation and its spread, carried out along the dimensions of both historical analysis and the immediate givenness of empirical experience, and then we employ our phenomenological analysis to demonstrate how the failure of the diffusion model is a consequence of the Realist philosophical assumptions which underlie it. We go on to articulate an entirely new approach to the theory and measurement of innovation: the centration model of individual inclination.
机译:几十年来,社会科学家一直在仔细研究创新及其传播的现象。该奖学金产生了许多重要的见解;然而,它也产生了一种认识,即以所谓的个人采用的扩散模型为基础的这一领域的主流研究方法一直未能适应创新观念和利用中的个体差异。根植于激进现象学原理的概念始于所有经验-包括创新经验-都可以看作是每个人意识中一系列语义上重要的表示形式的概念。通过定性和定量过程的组合,我们能够将这些表示形式(或心理“图像”)映射到多维坐标空间,在该空间中可以对主观含义之间的语义“距离”进行度量。此类“倾向”的随时间变化是创新及其传播的新手段。我们使用从高等教育站点收集的纵向数据展示了这些技术的应用,该站点在过去三年中一直在努力实施计算机网络创新。通过挑战基于现实主义的哲学假设,在该假设上建立了主导扩散模型,中心化模型可以更精确地表示主观经验,从而使研究人员能够发现创新的存在,识别创新的“图像”或多或少相似的个人或群体,并绘制“距离”的时间变化图。社会参与者之间。通过这种方式,新模型激发了关于创新作为过程的新思维,并促进了改进实施的计划,执行和评估工作。;在本文中,我们首先研究了创新及其扩散的现象学,并沿着这两个维度进行了研究历史分析和经验经验的直接给定,然后我们运用现象学分析来证明扩散模型的失败是其背后的现实主义哲学假设的结果。我们继续阐述一种全新的理论和创新度量方法:个人倾向性的集中模型。

著录项

  • 作者

    Augliere, Reed Alden.;

  • 作者单位

    Harvard University.;

  • 授予单位 Harvard University.;
  • 学科 Education Tests and Measurements.;Information Science.;Sociology Theory and Methods.
  • 学位 Ed.D.
  • 年度 1991
  • 页码 340 p.
  • 总页数 340
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:50:20

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