Corporate Taxonomy Mapping for Performance-Supporting KM

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Taxonomies are controlled vocabularies and multidimensional frameworks for organizing and classifying content. This study is the first to examine the meanings chief knowledge officers (CKOs) ascribe to corporate taxonomy mapping for enabling sustainable performance-driven knowledge management (KM). Utilizing a qualitative methodology, the research corpus comprised in-depth interviews, focus groups, participant observation, and cyber-ethnography. The findings underscore the essential role of investing resources in systematic taxonomy management as a cornerstone for attaining excellence in KM. Empirical evidence is provided for the critical importance of consistent taxonomies in establishing standardized terminology, facilitating systematic knowledge retrieval, and streamlining access within KM systems. Insight is provided into the constraints of contemporary technological advancements, including the capabilities of auto-tagging and classification through artificial intelligence (AI) and natural language processing (NLP) techniques. We underscore the nuanced interaction between human cognition and automated human-like capabilities in taxonomic classification, stressing the importance of embracing a balanced leadership socio-technical approach to the dynamic development of taxonomies. Furthermore, the study proposes promising avenues for future research to enhance the depth of inquiry into this subject matter.

Original languageEnglish
Title of host publicationProceedings of the 25th European Conference on Knowledge Management, ECKM 2024
EditorsNora Obermayer, Andrea Bencsik
PublisherAcademic Conferences and Publishing International Limited
Pages538-543
Number of pages6
ISBN (Electronic)9781917204101
DOIs
StatePublished - 2024
Event25th European Conference on Knowledge Management, ECKM 2024 - Veszprem, Hungary
Duration: 5 Sep 20246 Sep 2024

Publication series

NameProceedings of the European Conference on Knowledge Management, ECKM
Volume2024-September
ISSN (Print)2048-8963
ISSN (Electronic)2048-8971

Conference

Conference25th European Conference on Knowledge Management, ECKM 2024
Country/TerritoryHungary
CityVeszprem
Period5/09/246/09/24

Bibliographical note

Publisher Copyright:
© 2024 Academic Conferences Limited. All rights reserved.

Keywords

  • Controlled Vocabulary
  • Corporate Taxonomies
  • Knowledge Item
  • Knowledge Management
  • Knowledge Management Systems
  • Taxonomy

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