清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

A Replication Study of Operations Management Experiments in Management Science

计算机科学 复制(统计) 数据管理 运筹学 数据科学 工程类 统计 数学 数据挖掘
作者
Andrew M. Davis,Blair Flicker,Kyle Hyndman,Elena Katok,Samantha Keppler,Stephen Leider,Xiaoyang Long,Jordan Tong
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:69 (9): 4977-4991 被引量:33
标识
DOI:10.1287/mnsc.2023.4866
摘要

Over the last two decades, researchers in operations management have increasingly leveraged laboratory experiments to identify key behavioral insights. These experiments inform behavioral theories of operations management, impacting domains including inventory, supply chain management, queuing, forecasting, and sourcing. Yet, until now, the replicability of most behavioral insights from these laboratory experiments has been untested. We remedy this with the first large-scale replication study in operations management. With the input of the wider operations management community, we identify 10 prominent experimental operations management papers published in Management Science, which span a variety of domains, to be the focus of our replication effort. For each paper, we conduct a high-powered replication study of the main results across multiple locations using original materials (when available and suitable). In addition, our study tests replicability in multiple modalities (in-person and online) due to laboratory closures during the COVID-19 pandemic. Our replication study contributes new knowledge about the robustness of several key behavioral theories in operations management and contributes more broadly to efforts in the operations management field to improve research transparency and reliability. This paper was accepted by David Simchi-Levi, operations management. Funding: The authors gratefully acknowledge financial support from Cornell University, the University of South Carolina, the University of Texas at Dallas, the University of Michigan, and the University of Wisconsin-Madison. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2023.4866 .
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
molihuakai应助舒适的竺采纳,获得10
刚刚
4秒前
6秒前
景__完成签到,获得积分0
6秒前
11秒前
倒霉孩子完成签到,获得积分10
12秒前
倒霉孩子发布了新的文献求助10
16秒前
18秒前
害羞的雁易完成签到 ,获得积分10
20秒前
完美世界应助adeno采纳,获得10
22秒前
眯眯眼的安雁完成签到 ,获得积分10
25秒前
Qian完成签到 ,获得积分10
29秒前
昴星引路完成签到 ,获得积分10
32秒前
烟花应助科研通管家采纳,获得20
32秒前
40秒前
gao0505完成签到,获得积分10
49秒前
51秒前
59秒前
1分钟前
adeno完成签到,获得积分10
1分钟前
adeno发布了新的文献求助10
1分钟前
shizhiheng完成签到 ,获得积分10
1分钟前
雨季完成签到 ,获得积分10
1分钟前
yipmyonphu完成签到,获得积分10
1分钟前
Karl完成签到,获得积分10
1分钟前
AmyHu完成签到,获得积分10
2分钟前
kangkang发布了新的文献求助20
2分钟前
kangkang完成签到,获得积分10
2分钟前
2分钟前
YifanWang应助科研通管家采纳,获得10
2分钟前
YifanWang应助科研通管家采纳,获得10
2分钟前
YifanWang应助科研通管家采纳,获得10
2分钟前
2分钟前
YuLu完成签到 ,获得积分10
2分钟前
SAY完成签到 ,获得积分10
2分钟前
2分钟前
MiSD完成签到,获得积分10
2分钟前
糟糕的翅膀完成签到,获得积分10
2分钟前
yb完成签到,获得积分10
2分钟前
我很好完成签到 ,获得积分10
2分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7298031
求助须知:如何正确求助?哪些是违规求助? 8916493
关于积分的说明 18879379
捐赠科研通 6963217
什么是DOI,文献DOI怎么找? 3210641
关于科研通互助平台的介绍 2379958
邀请新用户注册赠送积分活动 2187125