Understanding the Elusive Black Box of Dynamic Capabilities

动态能力 计算机科学 操作化 背景(考古学) 集合(抽象数据类型) 黑匣子 动态决策 系统工程 知识管理 人工智能 工程类 哲学 认识论 生物 程序设计语言 古生物学
作者
Paul A. Pavlou,Omar A. El Sawy
出处
期刊:Decision Sciences [Wiley]
卷期号:42 (1): 239-273 被引量:1065
标识
DOI:10.1111/j.1540-5915.2010.00287.x
摘要

ABSTRACT A major challenge for managers in turbulent environments is to make sound decisions quickly. Dynamic capabilities have been proposed as a means for addressing turbulent environments by helping managers extend, modify, and reconfigure existing operational capabilities into new ones that better match the environment. However, because dynamic capabilities have been viewed as an elusive black box, it is difficult for managers to make sound decisions in turbulent environments if they cannot effectively measure dynamic capabilities. Therefore, we first seek to propose a measurable model of dynamic capabilities by conceptualizing, operationalizing, and measuring dynamic capabilities. Specifically, drawing upon the dynamic capabilities literature, we identify a set of capabilities—sensing the environment, learning, coordinating, and integrating—that help reconfigure existing operational capabilities into new ones that better match the environment. Second, we propose a structural model where dynamic capabilities influence performance by reconfiguring existing operational capabilities in the context of new product development (NPD). Data from 180 NPD units support both the measurable model of dynamic capabilities and also the structural model by which dynamic capabilities influence performance in NPD by reconfiguring operational capabilities, particularly in higher levels of environmental turbulence. The study's implications for managerial decision making in turbulent environments by capturing the elusive black box of dynamic capabilities are discussed.
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