中断期间的算法厌恶:安全库存案例

IF 9.8 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
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引用次数: 0

摘要

当组织或个人拒绝最佳分析决策支持,而倾向于非正式的主观决策时,就会出现算法厌恶现象。这种现象已在许多实际决策场景中被观察到,并被普遍认为会对决策质量产生负面影响。然而,在波动的供应链环境中,这种现象的存在及其影响尚未在文献中得到实证检验。缓冲需求波动的安全库存是供应链管理中的一项重要决策,因此是观察算法厌恶的理想视角。在本文中,我们对安全库存背景下的算法规避行为进行了实证研究。我们从一家案例零售公司收集了一系列库存单位(SKU)的数据,包括中断前和中断后不同波动水平的时间阶段。我们引入了一个模拟模型,以确定安全库存决策是否存在算法厌恶,并评估算法的采用和适应如何影响绩效。我们的研究结果表明,在供应链中断期间会出现算法规避现象,算法决策明显优于人工判断。基于访谈结果和信息系统理论,我们提出了一种理论来解释和概括上述发现。该理论将算法厌恶行为归因于算法用户的适切感降低,以及用户和开发人员都缺乏闲置资源。该理论还提供了关于算法的采用和适应如何在破坏性事件中影响决策绩效的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm aversion during disruptions: The case of safety stock
Algorithm aversion occurs when organizations or individuals reject optimal analytical decision support in favour of informal, subjective decisions. This phenomenon has been observed in many practical decision-making scenarios and is generally believed to negatively impact decision quality. However, its existence and effect in volatile supply chain environments has not been empirically tested in the literature. Safety stock buffering demand volatility is an important decision in supply chain management, making it an ideal lens to observe algorithm aversion. In this paper, we empirically investigate algorithm aversion behaviour in the context of safety stock settings. We collect data from a case retail company across a range of stockkeeping units (SKUs), encompassing both pre-disruption and post-disruption time stages with varying levels of volatility. We introduce a simulation model to determine whether algorithm aversion exists for safety stock decisions and to assess how algorithm adoption and adaptation affects performance. Our findings indicate that algorithm aversion occurs during supply chain disruptions, with algorithmic decisions significantly outperforming human judgment. Based on interview results and theories of information systems, we propose a theory to explain and generalize the above findings. This theory attributes algorithm aversion behaviour to reduced sense of fitness among algorithm users and lack of slack resources for both users and developers. It also offers insights into how the adoption and adaptation of algorithms influence decision performance during disruptive events.
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来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
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