现状和现状:产生扩展创新过程的创新技术和创新方法

Christian Vocke, W. Bauer
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引用次数: 0

摘要

整个经济部门和职业概况的数字化转型,以及通过更多地使用认知系统引入新形式的人机协作,都需要全新的方法。成功应对这种变化的关键是打破旧的结构,尝试新的东西,这种变化在所有行业都可以看到。适应和创新的能力正在成为创业活动中成功的关键因素。为了在极具活力和颠覆性的环境中继续取得市场成功并确保可持续增长,公司和组织被要求积极主动地塑造变革。除了建立灵活的工作模式和敏捷流程外,在员工有针对性的能力发展过程中,增加知识在技术系统中的生成和集成也是必不可少的。因此,技术系统的引入和使用必须与创新和协作过程的灵活性以及员工技能的发展齐头并进,以便为公司的附加值和人民的利益创造目前缺失的社会技术联系。在本文中,作者概述了目前使用的创造技术和创新方法,并找出了各自工具的优缺点。此外,提出了在已建立的技术和认知系统的可能性的相互作用中对创新过程的优化所产生的行动需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Status quo and quo vadis: creativity techniques and innovation methods for generating extended innovation processes
The digital transformation of entire economic sectors and occupational profiles as well as the introduction of new forms of human-machine collaboration through the increased use of cognitive systems require completely new approaches. The key to success in coping with this change, which can be seen in all industries, is to break up old structures and venture something new. The ability to adapt and innovate is becoming a central success-critical factor in entrepreneurial activity. In order to continue to achieve market success and ensure sustainable growth in an extremely dynamic and disruptive environment, companies and organizations are called upon to proactively shape change. In addition to the establishment of flexible working models and agile processes, the increased generation and integration of knowledge into and around technical systems in the course of targeted competence development of employees is indispensable. The introduction and use of technical systems thus must go hand in hand with the flexibilization of innovation and collaboration processes as well as the development of employee skills in order to generate the currently missing socio-technological link – for companies´ added value and for the benefit of people. In this paper, the authors present an overview of currently used creativity techniques and innovation methods and work out the strengths and weaknesses of the respective tools. Furthermore, the resulting need for action for the optimization of innovation processes in the interaction of established techniques and possibilities of cognitive systems is presented.
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