Application of neural networks in CRM systems
Materiały konferencyjne
MNiSW
15
WOS
Status: | |
Autorzy: | Bojanowska Agnieszka |
Dyscypliny: | |
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Rok wydania: | 2017 |
Wersja dokumentu: | Elektroniczna |
Język: | angielski |
Wolumen/Tom: | 15 |
Strony: | 2 - 6 |
Web of Science® Times Cited: | 0 |
Bazy: | Web of Science |
Efekt badań statutowych | NIE |
Materiał konferencyjny: | TAK |
Nazwa konferencji: | 2nd International Conference of Computational Methods in Engineering Science |
Skrócona nazwa konferencji: | CMES’17 |
URL serii konferencji: | LINK |
Termin konferencji: | 23 listopada 2017 do 25 listopada 2017 |
Miasto konferencji: | Lublin |
Państwo konferencji: | POLSKA |
Publikacja OA: | TAK |
Licencja: | |
Sposób udostępnienia: | Otwarte czasopismo |
Wersja tekstu: | Ostateczna wersja opublikowana |
Czas opublikowania: | W momencie opublikowania |
Data opublikowania w OA: | 15 grudnia 2017 |
Abstrakty: | angielski |
The central aim of this study is to investigate how to apply artificial neural networks in Customer Relationship Management (CRM). The paper presents several business applications of neural networks in software systems designed to aid CRM, e.g. in deciding on the profitability of building a relationship with a given customer. Furthermore, a framework for a neural-network based CRM software tool is developed. Building beneficial relationships with customers is generating considerable interest among various businesses, and is often mentioned as one of the crucial objectives of enterprises, next to their key aim: to bring satisfactory profit. There is a growing tendency among businesses to invest in CRM systems, which together with an organisational culture of a company aid managing customer relationships. It is the sheer amount of gathered data as well as the need for constant updating and analysis of this breadth of information that may imply the suitability of neural networks for the application in question. Neural networks exhibit considerably higher computational capabilities than sequential calculations because the solution to a problem is obtained without the need for developing a special algorithm. In the majority of presented CRM applications neural networks constitute and are presented as a managerial decision-taking optimisation tool. |