Research output: Contribution to journal › Conference article › peer-review
Modelling consumer knowledge : The role of ontology. / Kudryavtsev, D.; Gavrilova, T.; Smirnova, M.; Golovacheva, K.
In: Procedia Computer Science, Vol. 176, 2020, p. 500-507.Research output: Contribution to journal › Conference article › peer-review
}
TY - JOUR
T1 - Modelling consumer knowledge
T2 - 24th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2020
AU - Kudryavtsev, D.
AU - Gavrilova, T.
AU - Smirnova, M.
AU - Golovacheva, K.
N1 - Funding Information: The research is supported by the SPbU grant MNG_2019-2020_2: Development of the Ontology of Innovative Products and Services' Consumer Knowledge (ONTARIS). Publisher Copyright: © 2020 The Authors. Published by Elsevier B.V. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - Knowledge economy and further development of the information society made knowledge of all market interaction participants a key factor of consumption, adding value, including joint generation of value and innovation. Alongside with general increase in information volumes and decrease in consumer trust to it, the very products and services, as well as consumption technology and culture have become more complex and, thus, demonstrate relevance of managing consumer knowledge. Such complexity requires to teach consumers and to exchange knowledge with them. Consumer knowledge is of paramount importance for innovative products and services, as it is a key factor of innovation-decision process. Consumer knowledge practice needs clear understanding of this concept ("consumer knowledge"), its kinds and features, processes of acquiring and changing this knowledge, its influence on consumer behaviour, as well as company's capabilities to establish consumer knowledge. Such understanding will be provided by creating ontology of innovative products and services' consumer knowledge. Such ontology will help to resolve a whole range of enterprise engineering tasks: design of innovative products and services, as well as ecosystem surrounding them; design of an interaction system between a company and a consumer during a whole customer journey. This paper describes main requirements on ontology, discusses some existing ontologies, as well as contains primary results of ontology conceptualisation.
AB - Knowledge economy and further development of the information society made knowledge of all market interaction participants a key factor of consumption, adding value, including joint generation of value and innovation. Alongside with general increase in information volumes and decrease in consumer trust to it, the very products and services, as well as consumption technology and culture have become more complex and, thus, demonstrate relevance of managing consumer knowledge. Such complexity requires to teach consumers and to exchange knowledge with them. Consumer knowledge is of paramount importance for innovative products and services, as it is a key factor of innovation-decision process. Consumer knowledge practice needs clear understanding of this concept ("consumer knowledge"), its kinds and features, processes of acquiring and changing this knowledge, its influence on consumer behaviour, as well as company's capabilities to establish consumer knowledge. Such understanding will be provided by creating ontology of innovative products and services' consumer knowledge. Such ontology will help to resolve a whole range of enterprise engineering tasks: design of innovative products and services, as well as ecosystem surrounding them; design of an interaction system between a company and a consumer during a whole customer journey. This paper describes main requirements on ontology, discusses some existing ontologies, as well as contains primary results of ontology conceptualisation.
KW - Consumer behaviour
KW - Consumer knowledge
KW - Innovative products and services
KW - Knowledge economy
KW - Knowledge management
KW - Ontology
UR - http://www.scopus.com/inward/record.url?scp=85093359279&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2020.08.052
DO - 10.1016/j.procs.2020.08.052
M3 - Conference article
AN - SCOPUS:85093359279
VL - 176
SP - 500
EP - 507
JO - Procedia Computer Science
JF - Procedia Computer Science
SN - 1877-0509
Y2 - 16 September 2020 through 18 September 2020
ER -
ID: 70419829