供应链管理
供应链
管理科学
单位(环理论)
光学(聚焦)
业务
过程管理
计算机科学
营销
经济
心理学
数学教育
物理
光学
作者
Craig R. Carter,Renae F. Rockwood,Pankaj C. Patel,Daniel G. Bachrach,Elliot Bendoly,Scott DuHadway,Lutz Kaufmann
摘要
Abstract The supply chain management discipline has seen a tremendous growth in the use of experimental methods. Given the large number of published studies, the time seems opportune to systematically review the use of such approaches. In this note, we consider multiple dimensions of experimental design used in articles published in six of our premier journals. We present these findings and contemplate opportunities for future applications of experimental methods. In particular, we highlight a need to more regularly conduct and report on the results of power analyses and experimental checks, more carefully contemplate the justification and use of WEIRD (Western, educated, industrial, rich, and democratic) participants, develop and test mediated theoretical models, and increase our focus on teams as the unit of analysis when using experimental methods.
科研通智能强力驱动
Strongly Powered by AbleSci AI