Artificial Intelligence and Decision Making
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Artificial Intelligence and Decision Making:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Artificial Intelligence and Decision Making, 2021, Issue 3, Pages 19–32
DOI: https://doi.org/10.14357/20718594210302
(Mi iipr106)
 

Knowledge representation

Building ontology of consumer knowledge in marketing: cross-disciplinary approach

D. V. Kudryavtsev, T. A. Gavrilova, M. M. Smirnova, K. S. Golovacheva

Graduate School of Management, St. Petersburg State University, St. Petersburg, Russia
Abstract: With the growing amount of information and the emergence of a digital society, knowledge becomes a critical factor in the efficiency of companies. In addition to increasing the volume of information and reducing confidence in it, the relevance of working with consumer knowledge is explained by the complexity of both the products and services themselves, and the technology of their consumption. Practical work requires an accurate definition and understanding of the concept of “consumer knowledge”, its types and properties, the processes of their acquisition and the impact on consumer behavior. Creating a conceptual model (or ontology) of consumer knowledge will provide such insight, and will help in solving a number of problems: from conducting research to designing innovative services, as well as intelligent systems of interaction of the company with the consumer. The article formulates requirements for new ontology, considers existing models, and discusses the development of ontology in other subject areas. The study is interdisciplinary, and uses the paradigms of ontological engineering, knowledge management, cognitive psychology and marketing.
Keywords: ontology, knowledge engineering, ontology design, consumer knowledge, knowledge management.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation АААА-А20-120030390075-8
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: D. V. Kudryavtsev, T. A. Gavrilova, M. M. Smirnova, K. S. Golovacheva, “Building ontology of consumer knowledge in marketing: cross-disciplinary approach”, Artificial Intelligence and Decision Making, 2021, no. 3, 19–32
Citation in format AMSBIB
\Bibitem{KudGavSmi21}
\by D.~V.~Kudryavtsev, T.~A.~Gavrilova, M.~M.~Smirnova, K.~S.~Golovacheva
\paper Building ontology of consumer knowledge in marketing: cross-disciplinary approach
\jour Artificial Intelligence and Decision Making
\yr 2021
\issue 3
\pages 19--32
\mathnet{http://mi.mathnet.ru/iipr106}
\crossref{https://doi.org/10.14357/20718594210302}
\elib{https://elibrary.ru/item.asp?id=46701359}
Linking options:
  • https://www.mathnet.ru/eng/iipr106
  • https://www.mathnet.ru/eng/iipr/y2021/i3/p19
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Artificial Intelligence and Decision Making
    Statistics & downloads:
    Abstract page:31
    Full-text PDF :35
    References:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024