人工智能项目创新前端的前瞻性感知决策

IF 1.7 4区 管理学 Q3 BUSINESS Research-Technology Management Pub Date : 2024-06-27 DOI:10.1080/08956308.2024.2350407
Elinor Särner, Anna Yström, Nicolette Lakemond,, Gunnar Holmberg
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引用次数: 0

摘要

概述:使用人工智能(AI)来帮助开发新的复杂系统,会给不太精通技术的组织带来挑战,并可能延长创新阶段的前端时间。复杂性 ...
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Prospective Sensemaking in the Front End of Innovation of AI Projects
Overview: Using artificial intelligence (AI) to help develop new complex systems poses challenges for less tech-savvy organizations and may prolong the front end of innovation phase. Complications ...
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来源期刊
Research-Technology Management
Research-Technology Management 管理科学-工程:工业
CiteScore
3.90
自引率
13.60%
发文量
63
审稿时长
>12 weeks
期刊介绍: RTM is the leading peer-reviewed journal focused on the practice of innovation. We publish articles that map the cutting edge in R&D management, illustrate how management theory can be applied to real-world challenges, and give R&D managers the tools to promote innovation throughout their organizations. RTM publishes both quantitative and rigorous qualitative work, including case studies, descriptions of new practical models, and paradigms for understanding and fostering innovation. We are interested in a wide range of topics in innovation and technology management, including: • Product development processes and strategy • R&D portfolio management • R&D performance metrics • Management of technical and creative people • Strategy and innovation • Global innovation • Innovation and design, including design thinking • Innovation and organizational culture • Innovation and sustainability across the triple bottom line • New modes of innovation, including business model innovation, corporate entrepreneuring/intrapreneuring, and various forms of open innovation • Intellectual asset management • Innovations of manufacturing, including Industry 4.0 • Security, ethical, and legal challenges associated with emerging technologies and innovation nodes • Emerging trends reshaping R&D and innovation into the future
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