The role of generative design and additive manufacturing capabilities in developing human–AI symbiosis: Evidence from multiple case studies

IF 2.8 4区 管理学 Q2 MANAGEMENT
Elliot Bendoly, Aravind Chandrasekaran, Mateus do Rego Ferreira Lima, Robert Handfield, Siavash H. Khajavi, Samuel Roscoe
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引用次数: 0

Abstract

The benefits of additive manufacturing (AM) extend beyond the attributes of physical products and production processes they enable. Experience with AM can augment the way design is approached and can increase opportunities to pivot toward less familiar design tasks. We begin this qualitative study with a natural experiment made possible by an exogenous shock: the COVID-19 pandemic. Through a three-stage case study approach using a grounded theory-building method, we contrast AM usage among a set of firms, half of which pivoted their resources away from their traditional production and toward a response to this shock. We engage in an abductive reasoning approach to consider common threads in AM capabilities that facilitated this pivoting. Our analyses suggest that the advanced use of generative design (GD), a category of computational technologies enabling novel and optimized design, is a critical attribute of these firms that ended up pivoting to make COVID-related products. Specifically, firms with experience applying this capability demonstrated a unique ability to pivot during this shock and emphasized their valuation of AM-enabled agility. We revisited these firms 2 years after initial contact and found that GD was associated with higher levels of innovation and was largely viewed by designers as a mechanism driving double-loop learning. Overall, our study provides insights into the symbiosis between human and artificially intelligent GD, and the role of such symbiosis in advancing AM capabilities.

Abstract Image

生成设计和增材制造能力在发展人与人工智能共生关系中的作用:来自多个案例研究的证据
增材制造(AM)的优势不仅限于物理产品的属性和生产工艺。使用增材制造的经验可以增强设计方法,并增加转向不太熟悉的设计任务的机会。我们的定性研究从一个自然实验开始,这个自然实验是由外来冲击促成的:COVID-19 大流行。通过使用建立基础理论方法的三阶段案例研究方法,我们对比了一组公司中 AM 的使用情况,其中一半公司将其资源从传统生产转向了对这一冲击的响应。我们采用归纳推理的方法来考虑促进这种转向的 AM 能力的共同点。我们的分析表明,对于这些最终转向生产 COVID 相关产品的企业来说,先进的生成设计(GD)(一种可实现新颖和优化设计的计算技术)的使用是一个关键属性。具体来说,具有应用这种能力经验的公司在这次冲击中表现出了独特的转型能力,并强调了他们对AM敏捷性的重视。我们在与这些公司初次接触两年后对其进行了再次访问,发现 GD 与更高水平的创新有关,而且在很大程度上被设计师视为一种推动双环学习的机制。总之,我们的研究为人类与人工智能广东十一选五之间的共生关系,以及这种共生关系在提高 AM 能力方面的作用提供了见解。
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来源期刊
DECISION SCIENCES
DECISION SCIENCES MANAGEMENT-
CiteScore
12.40
自引率
1.80%
发文量
34
期刊介绍: Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.
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