S Lebovitz, H Lifshitz-Assaf, N Levina - Organization science, 2022 - pubsonline.informs.org
Artificial intelligence (AI) technologies promise to transform how professionals conduct knowledge work by augmenting their capabilities for making professional judgments. We …
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study …
L Sanzogni, G Guzman, P Busch - Prometheus, 2017 - Taylor & Francis
Abstract Knowledge management (KM) has matured to the point that many organisations either believe they have such practices in place or at least understand they are relevant to …
Managers concerned with implementing knowledge management in their organizations today face a number of challenges in developing sound methods for this still emerging area …
G He, L Kuiper, U Gadiraju - Proceedings of the 2023 CHI Conference …, 2023 - dl.acm.org
The dazzling promises of AI systems to augment humans in various tasks hinge on whether humans can appropriately rely on them. Recent research has shown that appropriate …
Purpose This paper aims to focus on research regarding organizational learning (OL) and knowledge management (KM), and to specifically investigate whether OL has been …
ANK Chen, TM Edgington - MIS quarterly, 2005 - JSTOR
To maintain competitive advantage, a firm's investment decisions related to knowledge creation are likely to be strategic in nature. However, strategic investments usually have an …
JM Firestone, MW McElroy - The learning organization, 2005 - emerald.com
Purpose–Knowledge management (KM) as a field has been characterized by great confusion about its conceptual foundations and scope, much to the detriment of …
Organizations are increasingly seeking to generate value and insights from their data by integrating advances in artificial intelligence (AI)(eg, machine learning (ML) systems) into …