知识共享
瓶颈
计算机科学
功能(生物学)
集合(抽象数据类型)
乘法函数
宏
知识管理
因子(编程语言)
数学
数学分析
进化生物学
程序设计语言
生物
嵌入式系统
作者
Enno Siemsen,Aleda V. Roth,Sridhar Balasubramanian
标识
DOI:10.1016/j.jom.2007.09.001
摘要
Abstract We introduce and empirically test a theoretical metamodel that explains knowledge‐sharing behavior among employees. Building on the well‐established motivation–opportunity–ability (MOA) framework, we posit that knowledge sharing among employees is a function of their MOA to do so. Existing literature suggests that the interaction among motivation, opportunity, and ability drives knowledge‐sharing behavior. In contrast, we specify a new model in which the “bottleneck” or constraining factor among the MOA variables determines the degree of knowledge sharing that occurs. This constraining‐factor model (CFM) fits the data better than the traditional multiplicative model and reveals a new, qualitatively different portrait of knowledge sharing that resolves some of the puzzles in the previous literature. The CFM provides macro‐level insights with respect to how operations managers can improve employee knowledge sharing by focusing on the bottleneck MOA variable. As a result, the CFM can help set strategic directions of related policies. The model emphasizes that, counter to conventional wisdom, the MOA variables should not be addressed independently, but rather in a dynamic and coordinated way.
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