报贩问题中的决策偏差:以决策支持系统为消除偏差策略的管理者和学生作为报贩的比较

Elok Pitaloka, N. Masruroh, Shi-Woei Lin
{"title":"报贩问题中的决策偏差:以决策支持系统为消除偏差策略的管理者和学生作为报贩的比较","authors":"Elok Pitaloka, N. Masruroh, Shi-Woei Lin","doi":"10.1109/IEEM44572.2019.8978652","DOIUrl":null,"url":null,"abstract":"A growing number of studies in the newsvendor problem provided evidence that subjects' ordering behavior deviates from the optimal order quantity. Furthermore, almost all existing studies only engage students as subjects, and it leaves an essential question of whether the insights of those studies can be applied in real business practices. In this empirical study, we experimented with investigating decision biases in the newsvendor setting and presenting a structured comparison of the order decisions made by managers and students. We also proposed a Decision Support System as a debiasing strategy to prevent the order decision bias. To provide a piece of evidence about the effectiveness of the proposed DSS, we experimented with comparing the ordering behavior, before and after DSS implementation. This study found that both managers and students showed demand chasing bias, but the magnitude of the bias differed significantly. This study also showed that an informational DSS generally improved inventory decision-making performance in terms of adjustment behavior and long-term profitability.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Decision Bias in the Newsvendor Problem: On the Comparison of Managers and Students as Newsvendors with Decision Support System as Debiasing Strategy\",\"authors\":\"Elok Pitaloka, N. Masruroh, Shi-Woei Lin\",\"doi\":\"10.1109/IEEM44572.2019.8978652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A growing number of studies in the newsvendor problem provided evidence that subjects' ordering behavior deviates from the optimal order quantity. Furthermore, almost all existing studies only engage students as subjects, and it leaves an essential question of whether the insights of those studies can be applied in real business practices. In this empirical study, we experimented with investigating decision biases in the newsvendor setting and presenting a structured comparison of the order decisions made by managers and students. We also proposed a Decision Support System as a debiasing strategy to prevent the order decision bias. To provide a piece of evidence about the effectiveness of the proposed DSS, we experimented with comparing the ordering behavior, before and after DSS implementation. This study found that both managers and students showed demand chasing bias, but the magnitude of the bias differed significantly. This study also showed that an informational DSS generally improved inventory decision-making performance in terms of adjustment behavior and long-term profitability.\",\"PeriodicalId\":255418,\"journal\":{\"name\":\"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM44572.2019.8978652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM44572.2019.8978652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

越来越多的关于报贩问题的研究表明,被试的订购行为偏离了最优订货量。此外,几乎所有现有的研究都只把学生作为研究对象,这留下了一个重要的问题,即这些研究的见解能否应用于实际的商业实践。在这一实证研究中,我们尝试调查在报贩设置的决策偏差,并提出了一个结构化的比较,由管理者和学生做出的订单决策。我们还提出了一种决策支持系统作为消除订单决策偏差的策略。为了证明所提出的决策支持系统的有效性,我们对决策支持系统实施前后的排序行为进行了比较实验。本研究发现,管理者和学生都表现出需求追逐偏见,但这种偏见的程度存在显著差异。本研究亦显示,资讯化决策支持系统在调整行为及长期获利能力方面,普遍改善存货决策绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Decision Bias in the Newsvendor Problem: On the Comparison of Managers and Students as Newsvendors with Decision Support System as Debiasing Strategy
A growing number of studies in the newsvendor problem provided evidence that subjects' ordering behavior deviates from the optimal order quantity. Furthermore, almost all existing studies only engage students as subjects, and it leaves an essential question of whether the insights of those studies can be applied in real business practices. In this empirical study, we experimented with investigating decision biases in the newsvendor setting and presenting a structured comparison of the order decisions made by managers and students. We also proposed a Decision Support System as a debiasing strategy to prevent the order decision bias. To provide a piece of evidence about the effectiveness of the proposed DSS, we experimented with comparing the ordering behavior, before and after DSS implementation. This study found that both managers and students showed demand chasing bias, but the magnitude of the bias differed significantly. This study also showed that an informational DSS generally improved inventory decision-making performance in terms of adjustment behavior and long-term profitability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Locating Humanitarian Relief Effort Facility Using P-Center Method A Method of Fault Identification Considering High Fix Priority in Open Source Project Model-based Systems Engineering Process for Supporting Variant Selection in the Early Product Development Phase A Method of Parameter Estimation in Flexible Jump Diffusion Process Models for Open Source Maintenance Effort Management Kanban-CONWIP Hybrid Model for Improving Productivity of an Electrostatic Coating Process
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1