高效低效率:实现人工智能经济收益的组织挑战

IF 9.8 1区 管理学 Q1 BUSINESS
Stuart Mills , David A. Spencer
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引用次数: 0

摘要

组织越来越多地使用人工智能(AI)。当人工智能比人类更有效地执行生产性任务时,企业将通过提高生产率而获得经济效益。然而,如果人工智能被部署去承担非生产性的、多余的任务,即使这些任务比人类更有效地执行,效率效益也会降低,因为上述任务从一开始就效率低下。我们称这种可能性为“有效的低效率”。“我们根据一系列行为学、管理学和社会学的文献,列出了管理者创造多余任务以及它们在组织中持续存在的几个原因。”我们认为有限理性解释了为什么管理者经常不能识别多余的任务,再加上组织冲突往往激励他们的创造。这些因素阻碍了组织避免效率低下的能力。重组组织以促进知识共享和协调利益相关者的激励可能会减少(尽管不能消除)效率低下的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Inefficiency: Organisational challenges of realising economic gains from AI
Organisations are increasingly using artificial intelligence (AI). Where AI performs productive tasks more efficiently than humans, organisations will benefit economically through increases in productivity. However, if AI is deployed to undertake unproductive, superfluous tasks, the efficiency benefits will be reduced, even if these tasks are performed more efficiently than a human could, because the said tasks are inefficient to begin with. We call this eventuality ‘efficient inefficiency.’
We outline several reasons why superfluous tasks are created by managers and why they persist in organisations, drawing on an array of behavioural, managerial, and sociological literature. We argue bounded rationality accounts for why managers often fail to identify superfluous tasks, coupled with organisational conflicts which often incentivise their creation. These factors impede the ability of organisations to avoid efficient inefficiency. Restructuring organisations to promote knowledge sharing and align stakeholder incentives may reduce, though not eliminate, the risk of efficient inefficiency.
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来源期刊
CiteScore
20.30
自引率
10.60%
发文量
956
期刊介绍: The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.
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