创新的使命是什么？

摘要：

各国政府和各组织认识到，在制定国家和组织创新政策时，需要重新审视任务驱动的创新。尽管关于任务说明的研究议程很丰富，但仍有几条调查路线是开放的，如跨国和多部门研究以及对研究知识密集型机构的审查。在这篇文章中，我们通过部署情感分析，可读性和词汇多样性，语义网络，以及文档语料库之间的相似性计算，在来自89个国家的1,900多个机构的样本中，识别政府，私人，高等教育和健康研究知识密集型机构的任务内容的相似性和差异。我们发现，研究知识密集型机构的任务是具有挑战性的阅读文本与较低的词汇多样性，有利于积极的，而不是消极的话。与此形成鲜明对比的是，非营利部门在使用企业社会责任术语时在多个方面是一致的。在任务的词汇外观研究根据任务部门的情况有所不同，每个部门有一个集群的具体重点。在高收入地区，利用该任务作为战略规划工具，可能有助于解释各部门和各大洲共享的语料库相似性。

英文摘要：

Governments and organizations recognize the need to revisit a mission-driven innovation amidst national and organizational innovation policy formulations. Notwithstanding a fertile research agenda on mission statements (hereafter mission(s)), several lines of inquiry remain open, such as crossnational and multisectorial studies and an examination of research knowledge intensive institutions. In this article, we identify similarities and differences in the content of missions from government, private, higher education, and health research knowledge intensive institutions in a sample of over 1,900 institutions from 89 countries through the deployment of sentiment analysis, readability, and lexical diversity; semantic networks; and a similarity computation between document corpus. We found that missions of research knowledge intensive institutions are challenging to read texts with lower lexical diversity that favors positive rather than negative words. In stark contrast to this, the non-profit sector is consonant in multiple dimensions in its use of Corporate Social Responsibility jargon. The lexical appearance of research in the missions varies according to mission sectorial context, and each sector has a cluster specific focus. Utilizing the mission as a strategic planning tool in higher income regions might serve to explain corpora similarities shared by sectors and continents.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。