Ontologies application in organizational learning: A literature review

被引:18
作者
Valaski, Joselaine [1 ]
Malucelli, Andreia [1 ]
Reinehr, Sheila [1 ]
机构
[1] Pontifical Catholic Univ Parana State, Grad Program Comp Sci, Curitiba, Parana, Brazil
关键词
Ontology; Organizational learning; Learning organization; MANAGEMENT; MEMORY; PRINCIPLES; KEY;
D O I
10.1016/j.eswa.2012.01.075
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Although ontologies and organizational learning are issues that have been discussed for many years, there is not an approach on literature that gives an overview about how both issues have been applied together. This literature review has the objective of exploring how ontologies are being applied in the organizational learning process recently: as a consequence, only studies from the year of 2005 onwards have been searched. The identification process produced 353 papers from 11 different databases. After applying the exclusion criteria, the set was reduced to 11 papers, which clearly fitted to the criteria defined for accomplishment of the systematic review, which were then analyzed and classified. The papers have been classified according to the structure and level of the ontologies. Furthermore, the Information Technology (IT) used in conjunction with ontology was identified, as well as the way ontologies and IT can act as a means of facilitating the organizational learning process. It was observed that although ontologies are rather important, a very few number of researches have applied ontologies in the organizational learning processes. In a general way, ontologies and IT encourage the sharing of knowledge and formalization. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:7555 / 7561
页数:7
相关论文
共 50 条
  • [31] The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review
    Ma, Zheng
    Schultz, Mette Jessen
    Christensen, Kristoffer
    Vaerbak, Magnus
    Demazeau, Yves
    Jorgensen, Bo Norregaard
    ENERGIES, 2019, 12 (16)
  • [32] ORGANIZATIONAL LEARNING APPLIED TO SOFTWARE ENGINEERING: A SYSTEMATIC REVIEW
    Menolli, Andre
    Reinehr, Sheila
    Malucelli, Andreia
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2013, 23 (08) : 1153 - 1175
  • [33] Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda
    Belinski, Ricardo
    Peixe, Adriana M. M.
    Frederico, Guilherme F.
    Garza-Reyes, Jose Arturo
    BENCHMARKING-AN INTERNATIONAL JOURNAL, 2020, 27 (08) : 2435 - 2457
  • [34] Ontologies in human-computer interaction: A systematic literature review
    Costa, Simone Dornelas
    Barcellos, Monalessa Perini
    Falbo, Ricardo de Almeida
    APPLIED ONTOLOGY, 2021, 16 (04) : 421 - 452
  • [35] Attributes of the Learning Organization: A review of the literature
    Lopez-Zapata, Esteban
    Enrique Garcia-Muina, Fernando
    Maria Garcia-Moreno, Susana
    REVISTA INTERNACIONAL DE ORGANIZACIONES, 2016, (16): : 59 - 81
  • [36] Ontologies application in the sharing economy domain: a systematic review
    Mohamad, Ummul Hanan
    Ahmad, Mohammad Nazir
    Zakaria, Ahmad Mujahid Ubaidillah
    ONLINE INFORMATION REVIEW, 2022, 46 (04) : 807 - 825
  • [37] The nexus of business sustainability and organizational learning: A systematic literature review to identify key learning principles for business transformation
    Hermelingmeier, Verena
    von Wirth, Timo
    BUSINESS STRATEGY AND THE ENVIRONMENT, 2021, 30 (04) : 1839 - 1851
  • [38] A review and classification of manufacturing ontologies
    Sapel, Patrick
    Comet, Lina Molinas
    Dimitriadis, Iraklis
    Hopmann, Christian
    Decker, Stefan
    JOURNAL OF INTELLIGENT MANUFACTURING, 2024,
  • [39] Protecting organizational knowledge: a structured literature review
    Manhart, Markus
    Thalmann, Stefan
    JOURNAL OF KNOWLEDGE MANAGEMENT, 2015, 19 (02) : 190 - 211
  • [40] Systematic Literature Review on Organizational and Financial Resilience
    Crespo, Juan Diego Ochoa
    Feria-Dominguez, Jose Manuel
    Guzman, Diego Marcelo Cordero
    IEEE ACCESS, 2025, 13 : 20218 - 20245