Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
The tools and methods of capturing knowledge from customers : Empirical investigation. / Plyasunov, Nikita; Kudryavtsev, Dmitry; Kokoulina, Liudmila.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1099-1107 8104690.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - The tools and methods of capturing knowledge from customers
T2 - 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017
AU - Plyasunov, Nikita
AU - Kudryavtsev, Dmitry
AU - Kokoulina, Liudmila
N1 - Plyasunov, N. The tools and methods of capturing knowledge from customers: Empirical investigation / N. Plyasunov, D. Kudryavtsev, L. Kokoulina // Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017. – Prague, 2017. – P. 1099-1107.
PY - 2017/11/10
Y1 - 2017/11/10
N2 - The goal of this research is to investigate the process of customer knowledge capturing, specifically knowledge coming from customers. We identified and classified tools and methods of capturing knowledge from customers. Both general tools from knowledge management and specialized ones from marketing research were considered. Besides, we aligned these tools and methods with the contextual factors using case studies from electrotechnical and software development industries, thus, the corresponding decision tree was suggested.
AB - The goal of this research is to investigate the process of customer knowledge capturing, specifically knowledge coming from customers. We identified and classified tools and methods of capturing knowledge from customers. Both general tools from knowledge management and specialized ones from marketing research were considered. Besides, we aligned these tools and methods with the contextual factors using case studies from electrotechnical and software development industries, thus, the corresponding decision tree was suggested.
KW - decision trees
KW - information systems
KW - knowledge management
KW - SCOPUS
KW - WOS
KW - SCOPUS
KW - WOS
UR - http://www.scopus.com/inward/record.url?scp=85039918298&partnerID=8YFLogxK
U2 - 10.15439/2017F72
DO - 10.15439/2017F72
M3 - Conference contribution
AN - SCOPUS:85039918298
SP - 1099
EP - 1107
BT - Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, FedCSIS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 September 2017 through 6 September 2017
ER -
ID: 32862510