TY - JOUR
T1 - How motivation, opportunity, and ability drive knowledge sharing
T2 - The constraining-factor model
AU - Siemsen, Enno
AU - Roth, Aleda V.
AU - Balasubramanian, Sridhar
PY - 2008/5
Y1 - 2008/5
N2 - 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.
AB - 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.
KW - Behavioral operations
KW - Bottleneck
KW - Constraining-factor model
KW - Knowledge sharing
KW - MOA framework
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U2 - 10.1016/j.jom.2007.09.001
DO - 10.1016/j.jom.2007.09.001
M3 - Article
AN - SCOPUS:42049110298
SN - 0272-6963
VL - 26
SP - 426
EP - 445
JO - Journal of Operations Management
JF - Journal of Operations Management
IS - 3
ER -