利斯雷尔
偏最小二乘回归
管理科学
因果模型
计算机科学
对比度(视觉)
战略管理
数据科学
过程管理
结构方程建模
人工智能
业务
营销
经济
机器学习
数学
统计
标识
DOI:10.1002/(sici)1097-0266(199902)20:2<195::aid-smj13>3.0.co;2-7
摘要
Advances in causal modeling techniques have made it possible for researchers to simultaneously examine theory and measures. However, researchers must use these new techniques appropriately. In addition to dealing with the methodological concerns associated with more traditional methods of analysis, researchers using causal modeling approaches must understand their underlying assumptions and limitations. Most researchers are well equipped with a basic understanding of LISREL-type models. In contrast, current familiarity with PLS in the strategic management area is low. The current paper reviews four recent studies in the strategic management area which use PLS. The review notes that the technique has been applied inconsistently, and at times inappropriately, and suggests standards for evaluating future PLS applications. Copyright © 1999 John Wiley & Sons, Ltd.
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