骑士的不确定性
微观基础
经济
价值(数学)
资产(计算机安全)
操作化
拨款
微观经济学
产业组织
金融经济学
业务
计算机科学
模棱两可
宏观经济学
认识论
程序设计语言
哲学
机器学习
计算机安全
作者
Curba Morris Lampert,Minyoung Kim,Francisco Polidoro
标识
DOI:10.5465/amr.2018.0238
摘要
The role of complementary assets across the different stages of a firm's value chain in facilitating value creation and value appropriation from technological innovation remains a key area of interest in strategy and entrepreneurship research. However, current thinking on complementary assets operates with an unstated boundary condition—that relevant assets and asset configurations are relatively well known to the innovating firm. This assumption is applicable under conditions of "risk," wherein decision-makers can know outcomes and probabilities. It is less clear, though, how current insights apply under conditions of "Knightian uncertainty," in which neither outcomes nor probabilities are knowable. The purpose of this paper is to advance a complementary assets theory that accounts for conditions of Knightian uncertainty, thus aligning theory with the contemporary realities surrounding innovating firms. This article highlights an important intertemporal trade-off that existing literature ignores—without accounting for Knightian uncertainty, firms may unknowingly direct complementary assets in ways that favor current value appropriation at the expense of future value creation. We discuss theoretical implications for research on the microfoundations of dynamic capabilities and opportunities for future research on complementary asset configurations across geographic boundaries and across organizations in innovation ecosystems.
科研通智能强力驱动
Strongly Powered by AbleSci AI