分类
范畴变量
价值(数学)
面子(社会学概念)
数据科学
分类
计算机科学
知识管理
社会学
心理学
人工智能
社会科学
机器学习
程序设计语言
出处
期刊:Research in the sociology of organizations
日期:2017-03-17
卷期号:: 31-68
被引量:67
标识
DOI:10.1108/s0733-558x20170000051001
摘要
The "categorization as a theoretical tool" framework is delineated to clarify how innovation is possible even though candidates for exchange face a "categorical imperative" – pressure from their audience to adopt the conventional practices associated with existing categories. The key insight is that categorization is generally a useful tool for sorting and screening exchange opportunities. This insight is developed to suggest how the nature of the imperative varies with the audience's objectives and the theory of value it espouses and how the strength of the imperative varies with the social challenges and opportunities for engaging in, and learning from, experiments with unconventionality.
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