Knowledge sourcing methods [An article from: Information & Management]
Book Details
Author(s)P.H. Gray, D.B. Meister
PublisherElsevier
ISBN / ASINB000RR6NAW
ISBN-13978B000RR6NA4
MarketplaceFrance 🇫🇷
Description
This digital document is a journal article from Information & Management, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Many knowledge management (KM) initiatives in organizations seek to improve how employees draw on each others' expertise, experience, advice, and opinions, which we call knowledge sourcing behavior. Employees can source knowledge recorded in document form, through dyadic conversations, or in-group settings. We proposed and tested a theory to support the idea that employees' use of different classes of knowledge sourcing methods produced different kinds of performance outcomes. Our findings suggested that (1) different classes of knowledge sourcing methods are not as interchangeable as the KM literature might suggest, (2) technology-based methods are neither inherently superior nor inferior to traditional methods and (3) that group knowledge sourcing supports a wider range of performance outcomes than other methods. Together, these results highlight the importance of aligning KM efforts with their intended outcome. Before launching a project designed to enhance knowledge sourcing, managers should decide which performance outcome they wish to affect and select a KM tool that is aligned with the desired effect.
Description:
Many knowledge management (KM) initiatives in organizations seek to improve how employees draw on each others' expertise, experience, advice, and opinions, which we call knowledge sourcing behavior. Employees can source knowledge recorded in document form, through dyadic conversations, or in-group settings. We proposed and tested a theory to support the idea that employees' use of different classes of knowledge sourcing methods produced different kinds of performance outcomes. Our findings suggested that (1) different classes of knowledge sourcing methods are not as interchangeable as the KM literature might suggest, (2) technology-based methods are neither inherently superior nor inferior to traditional methods and (3) that group knowledge sourcing supports a wider range of performance outcomes than other methods. Together, these results highlight the importance of aligning KM efforts with their intended outcome. Before launching a project designed to enhance knowledge sourcing, managers should decide which performance outcome they wish to affect and select a KM tool that is aligned with the desired effect.
