The Human-GenAI Value Loop in Human-Centered Innovation: Beyond the Magical Narrative

IF 6.3 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Camille Grange, Théophile Demazure, Mickael Ringeval, Simon Bourdeau, Cédric Martineau
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Abstract

Organisations across various industries are still exploring the potential of Generative Artificial Intelligence (GenAI) to automate a variety of knowledge work processes, including managing innovation. While innovation is often viewed as a product of individual creativity, it more commonly unfolds through a collaborative process where creativity intertwines with knowledge. However, the extent and effectiveness of GenAI in supporting this process remain open questions. Our study investigates this issue using a collaborative practice research approach focused on three GenAI-enabled innovation projects conducted within different organisations. We explored how, why, and when GenAI could effectively be integrated into design sprints—a highly structured, collaborative process enabling human-centred innovation. Our research identified challenges and opportunities in synchronising AI capabilities with human intelligence and creativity. To translate these insights into practical strategies, we propose four recommendations for organisations eager to leverage GenAI to both streamline and bring more value to their innovation processes: (1) establish a collaborative intelligence value loop with GenAI; (2) build trust in GenAI; (3) develop robust data collection and curation workflows; and (4) embrace a craftsman's discipline.

Abstract Image

以人为中心的创新中的人-基因价值循环:超越魔幻叙事
各行各业的组织仍在探索生成式人工智能(GenAI)的潜力,以实现各种知识工作流程的自动化,包括管理创新。虽然创新通常被视为个人创造力的产物,但它通常是通过创造力与知识相互交织的协作过程展开的。然而,基因人工智能在支持这一进程方面的程度和有效性仍然是一个悬而未决的问题。我们的研究使用了一种协作实践研究方法来调查这个问题,该方法侧重于在不同组织中进行的三个基于genai的创新项目。我们探讨了GenAI如何、为什么以及何时可以有效地集成到设计冲刺中——这是一个高度结构化的协作过程,可以实现以人为本的创新。我们的研究发现了人工智能能力与人类智力和创造力同步的挑战和机遇。为了将这些见解转化为实际战略,我们为渴望利用GenAI简化创新流程并为其带来更多价值的组织提出了四点建议:(1)与GenAI建立协同智能价值循环;(2)对GenAI建立信任;(3)建立健全的数据收集和管理工作流程;(4)接受工匠的纪律。
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来源期刊
Information Systems Journal
Information Systems Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
14.60
自引率
7.80%
发文量
44
期刊介绍: The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues, based on research using appropriate research methods.The ISJ has particularly built its reputation by publishing qualitative research and it continues to welcome such papers. Quantitative research papers are also welcome but they need to emphasise the context of the research and the theoretical and practical implications of their findings.The ISJ does not publish purely technical papers.
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