星团(航天器)
计算机科学
质量(理念)
统计分析
管理科学
过程管理
数据科学
知识管理
风险分析(工程)
运筹学
业务
经济
工程类
统计
认识论
数学
哲学
程序设计语言
作者
David J. Ketchen,Christopher L. Shook
标识
DOI:10.1002/(sici)1097-0266(199606)17:6<441::aid-smj819>3.0.co;2-g
摘要
Cluster analysis is a statistical technique that sorts observations into similar sets or groups. The use of cluster analysis presents a complex challenge because it requires several methodological choices that determine the quality of a cluster solution. This paper chronicles the application of cluster analysis in strategic management research, where the technique has been used since the late 1970s to investigate issues of central importance. Analysis of 45 published strategy studies reveals that the implementation of cluster analysis has been often less than ideal, perhaps detracting from the ability of studies to generate knowledge. Given these findings, suggestions are offered for improving the application of cluster analysis in future inquiry.
科研通智能强力驱动
Strongly Powered by AbleSci AI