dc.contributor.author | Michalska-Dudek, Izabela | |
dc.date.accessioned | 2014-01-02T10:02:01Z | |
dc.date.available | 2014-01-02T10:02:01Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Michalska-Dudek I., The Implementation Of Loyalty Forecast Model In Identifying Key Clients Of An Enterprise, "University of Szczecin Scientific Journal No 780 Service Management vol. 11", 2013, pp. 35-51 | en |
dc.identifier.issn | 1640-6818 | |
dc.identifier.issn | 1898-0511 | |
dc.identifier.uri | https://depot.ceon.pl/handle/123456789/3089 | |
dc.description.abstract | The hereby paper discusses the concept of clients’ loyalty probability forecast model, which may be used in the process of establishing an optimum portfolio of clients by means of identifying and selecting key clients of an enterprise. The verification of sug-gested model correctness in the process of consumer loyalty establishment will be per-formed based on a selected Polish travel office operations. | en |
dc.language.iso | en | en |
dc.publisher | SZCZECIN UNIVERSITY PRESS | en |
dc.rights | Creative Commons Uznanie autorstwa 3.0 Polska | pl_PL |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/pl/legalcode | |
dc.subject | verification of clients loyalty forecast model accuracy based on empirical data from selected tourism organizer. | en |
dc.subject | model of clients loyalty forecast | en |
dc.subject | MLP neural network method | en |
dc.subject | key client | en |
dc.subject | clients portfolio | en |
dc.title | The Implementation Of Loyalty Forecast Model In Identifying Key Clients Of An Enterprise | en |
dc.type | info:eu-repo/semantics/article | en |
dc.description.eperson | Izabela Michalska-Dudek | |
dc.rights.DELETETHISFIELD | info:eu-repo/semantics/openAccess | |