Strategy selection and performance measurement choice when profit drivers are uncertain

被引:18
作者
Dye, RA [1 ]
机构
[1] Northwestern Univ, Kellogg Sch Management, Evanston, IL 60208 USA
关键词
business models; bandit problems; experimentation; learning-by-doing; profit drivers;
D O I
10.1287/mnsc.1030.0160
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper studies a manager's attempt to maximize his firm's discounted expected profits by choosing what strategic actions to select and what performance measurement system to employ in a setting where the manager is uncertain about what variables "drive" the firm's profits, the firm's profit drivers remain stationary over time, and strategic actions differ in the amount of information they produce about the firm's profit drivers. For each available performance measurement system, this paper identifies necessary and sufficient conditions for experimentation-that is, deviating from the firm's short-run expected profit-maximizing action-to be optimal. In addition, the paper determines what factors influence a firm's preferred performance measurement system, and it explains why the preferred performance measurement system is likely to change over time.
引用
收藏
页码:1624 / 1637
页数:14
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