Knowledge Management in the Era of Artificial Intelligence : Developing an Integrative Framework





Faculty/Professorship: Information Systems and Energy Efficient Systems  
Author(s): Fteimi, Nora; Hopf, Konstantin  
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2021
Pages: 1-10
Source/Other editions: 29. European Conference on Information Systems (ECIS), 2021, Marrakesh: Morocco / Virtual, ECIS 2021 Research-in-Progress Paper Proceedings, AIS electronic library
Language(s): English
DOI: 10.20378/irb-49911
Licence: Creative Commons - CC BY-SA - Attribution - ShareAlike 4.0 International 
URL: https://aisel.aisnet.org/ecis2021_rip/20/
URN: urn:nbn:de:bvb:473-irb-499115
Abstract: 
Artificial intelligence (AI) and its rapid technological advancement will considerably affect the future of work and the way organizations manage their knowledge management (KM) processes. Typical KM initiatives include the development, transfer, storage, and evaluation of a firm’s knowledge throughout the knowledge lifecycle, but often neglect ongoing advances in the AI area. Thus, organizations struggle to integrate AI into working environments to leverage outcome efficiency. Starting with a descriptive literature review, we draw on two KM strategies–personalization and codification–and introduce an adaptive, AI-specific approach for organizational KM implementation. Our approach supports KM strategy and research, as it outlines how AI affects current working processes. This enables to understand which role AI can take in the human-AI interaction. Knowledge managers are provided with a tool to align organizational KM with the business strategy and current technological progress in AI context. We also outline future research to validate the construct.
GND Keywords: Anpassung; Wissensmanagement; Künstliche Intelligenz; Personalisierung; Kodifizierung; Strategie
Keywords: Knowledge Management, Artificial Intelligence, Personalization Strategy, Codification Strategy, Adaptive Knowledge Management
DDC Classification: 004 Computer science  
330 Economics  
RVK Classification: ST 530   
Type: Conferenceobject
URI: https://fis.uni-bamberg.de/handle/uniba/49911
Release Date: 16. June 2021

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